115 results on '"Lumbar spine MRI"'
Search Results
2. WGAN-based multi-structure segmentation of vertebral cross-section MRI using ResU-Net and clustered transformer.
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Liu, Jing, Suo, Guodong, Jin, Fengqing, Zhou, Yuee, and Yang, Jianlan
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FEATURE extraction , *MAGNETIC resonance imaging , *SPINE , *PHYSICIANS - Abstract
The vertebral foramen, lamina, and vertebral body are three critical components of the spine structure, essential for maintaining spinal connectivity and stability. Accurately segmenting lumbar structures such as the vertebral body, vertebral foramen, and lamina in MRI cross-sections helps doctors better understand and diagnose the pathological causes of spine-related diseases. This study presents a multi-structure semantic segmentation method for vertebral transverse section MRI slices using WGAN with a residual U-Net and clustered Transformer. The generator network was replaced with a combination of a residual U-Net and a clustered Transformer-based segmentation network. The enhanced U-Net encoder, utilizing dilated convolutions and residual structures, improved multi-scale feature extraction capabilities. Meanwhile, the clustered Transformer structure, with reduced progressive linear complexity, ensured the extraction of global positional information. The results of multiple experiments show that the Dice coefficient for vertebral body segmentation increased by 3.1%, the Hausdorff distance decreased by 0.6 mm, mIOU improved by 4.1–96.2%, and PPV increased by 2.0–98.8% compared to mainstream segmentation models. These improvements are statistically significant (p < 0.05).Ablation experiments further validated the effectiveness of the proposed enhanced modules in improving segmentation accuracy for the three target structures. [ABSTRACT FROM AUTHOR]
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- 2024
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3. WGAN-based multi-structure segmentation of vertebral cross-section MRI using ResU-Net and clustered transformer
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Jing Liu, Guodong Suo, Fengqing Jin, Yuee Zhou, and Jianlan Yang
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Residual U-Net ,Clustered transformer ,Lumbar spine MRI ,WGAN ,Multi-structure ,Medicine ,Science - Abstract
Abstract The vertebral foramen, lamina, and vertebral body are three critical components of the spine structure, essential for maintaining spinal connectivity and stability. Accurately segmenting lumbar structures such as the vertebral body, vertebral foramen, and lamina in MRI cross-sections helps doctors better understand and diagnose the pathological causes of spine-related diseases. This study presents a multi-structure semantic segmentation method for vertebral transverse section MRI slices using WGAN with a residual U-Net and clustered Transformer. The generator network was replaced with a combination of a residual U-Net and a clustered Transformer-based segmentation network. The enhanced U-Net encoder, utilizing dilated convolutions and residual structures, improved multi-scale feature extraction capabilities. Meanwhile, the clustered Transformer structure, with reduced progressive linear complexity, ensured the extraction of global positional information. The results of multiple experiments show that the Dice coefficient for vertebral body segmentation increased by 3.1%, the Hausdorff distance decreased by 0.6 mm, mIOU improved by 4.1–96.2%, and PPV increased by 2.0–98.8% compared to mainstream segmentation models. These improvements are statistically significant (p
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- 2024
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4. Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T.
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Han, Misung, Bahroos, Emma, Hess, Madeline, Chin, Cynthia, Shin, David, Link, Thomas, Pedoia, Valentina, Majumdar, Sharmila, Villanueva-Meyer, Javier, and Gao, Kenneth
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clinical MRI ,deep learning reconstruction ,fast acquisition ,lower back pain ,lumbar spine MRI ,segmentation ,Humans ,Deep Learning ,Lumbar Vertebrae ,Magnetic Resonance Imaging ,Image Processing ,Computer-Assisted ,Technology - Abstract
OBJECTIVES: To evaluate whether combining fast acquisitions with deep-learning reconstruction can provide diagnostically useful images and quantitative assessment comparable to standard-of-care acquisitions for lumbar spine magnetic resonance imaging (MRI). METHODS: Eighteen patients were imaged with both standard protocol and fast protocol using reduced signal averages, each protocol including sagittal fat-suppressed T2-weighted, sagittal T1-weighted, and axial T2-weighted 2D fast spin-echo sequences. Fast-acquisition data was additionally reconstructed using vendor-supplied deep-learning reconstruction with three different noise reduction factors. For qualitative analysis, standard images as well as fast images with and without deep-learning reconstruction were graded by three radiologists on five different categories. For quantitative analysis, convolutional neural networks were applied to sagittal T1-weighted images to segment intervertebral discs and vertebral bodies, and disc heights and vertebral body volumes were derived. RESULTS: Based on noninferiority testing on qualitative scores, fast images without deep-learning reconstruction were inferior to standard images for most categories. However, deep-learning reconstruction improved the average scores, and noninferiority was observed over 24 out of 45 comparisons (all with sagittal T2-weighted images while 4/5 comparisons with sagittal T1-weighted and axial T2-weighted images). Interobserver variability increased with 50 and 75% noise reduction factors. Deep-learning reconstructed fast images with 50% and 75% noise reduction factors had comparable disc heights and vertebral body volumes to standard images (r2≥ 0.86 for disc heights and r2≥ 0.98 for vertebral body volumes). CONCLUSIONS: This study demonstrated that deep-learning-reconstructed fast-acquisition images have the potential to provide noninferior image quality and comparable quantitative assessment to standard clinical images.
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- 2023
5. Automated Detection and Measurement of Dural Sack Cross-Sectional Area in Lumbar Spine MRI Using Deep Learning.
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Saravi, Babak, Zink, Alisia, Ülkümen, Sara, Couillard-Despres, Sebastien, Wollborn, Jakob, Lang, Gernot, and Hassel, Frank
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LUMBAR vertebrae , *DEEP learning , *MAGNETIC resonance imaging , *SPINAL stenosis , *DEGENERATION (Pathology) , *BACKACHE - Abstract
Lumbar spine magnetic resonance imaging (MRI) is a critical diagnostic tool for the assessment of various spinal pathologies, including degenerative disc disease, spinal stenosis, and spondylolisthesis. The accurate identification and quantification of the dural sack cross-sectional area are essential for the evaluation of these conditions. Current manual measurement methods are time-consuming and prone to inter-observer variability. Our study developed and validated deep learning models, specifically U-Net, Attention U-Net, and MultiResUNet, for the automated detection and measurement of the dural sack area in lumbar spine MRI, using a dataset of 515 patients with symptomatic back pain and externally validating the results based on 50 patient scans. The U-Net model achieved an accuracy of 0.9990 and 0.9987 on the initial and external validation datasets, respectively. The Attention U-Net model reported an accuracy of 0.9992 and 0.9989, while the MultiResUNet model displayed a remarkable accuracy of 0.9996 and 0.9995, respectively. All models showed promising precision, recall, and F1-score metrics, along with reduced mean absolute errors compared to the ground truth manual method. In conclusion, our study demonstrates the potential of these deep learning models for the automated detection and measurement of the dural sack cross-sectional area in lumbar spine MRI. The proposed models achieve high-performance metrics in both the initial and external validation datasets, indicating their potential utility as valuable clinical tools for the evaluation of lumbar spine pathologies. Future studies with larger sample sizes and multicenter data are warranted to validate the generalizability of the model further and to explore the potential integration of this approach into routine clinical practice. [ABSTRACT FROM AUTHOR]
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- 2023
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6. Automated Detection and Measurement of Dural Sack Cross-Sectional Area in Lumbar Spine MRI Using Deep Learning
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Babak Saravi, Alisia Zink, Sara Ülkümen, Sebastien Couillard-Despres, Jakob Wollborn, Gernot Lang, and Frank Hassel
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lumbar spine MRI ,dural sack cross-sectional area ,deep learning ,automated detection ,spinal pathologies ,image segmentation ,Technology ,Biology (General) ,QH301-705.5 - Abstract
Lumbar spine magnetic resonance imaging (MRI) is a critical diagnostic tool for the assessment of various spinal pathologies, including degenerative disc disease, spinal stenosis, and spondylolisthesis. The accurate identification and quantification of the dural sack cross-sectional area are essential for the evaluation of these conditions. Current manual measurement methods are time-consuming and prone to inter-observer variability. Our study developed and validated deep learning models, specifically U-Net, Attention U-Net, and MultiResUNet, for the automated detection and measurement of the dural sack area in lumbar spine MRI, using a dataset of 515 patients with symptomatic back pain and externally validating the results based on 50 patient scans. The U-Net model achieved an accuracy of 0.9990 and 0.9987 on the initial and external validation datasets, respectively. The Attention U-Net model reported an accuracy of 0.9992 and 0.9989, while the MultiResUNet model displayed a remarkable accuracy of 0.9996 and 0.9995, respectively. All models showed promising precision, recall, and F1-score metrics, along with reduced mean absolute errors compared to the ground truth manual method. In conclusion, our study demonstrates the potential of these deep learning models for the automated detection and measurement of the dural sack cross-sectional area in lumbar spine MRI. The proposed models achieve high-performance metrics in both the initial and external validation datasets, indicating their potential utility as valuable clinical tools for the evaluation of lumbar spine pathologies. Future studies with larger sample sizes and multicenter data are warranted to validate the generalizability of the model further and to explore the potential integration of this approach into routine clinical practice.
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- 2023
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7. Comparison Accuracy in Determining the Degree of Lumbar Spinal Stenosis between Lumbar Spine MRI with Axial Loading and Routine Conventional MRI with Clinical Correlation.
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Chiewvit, Pipat, Ngamsombat, Chanon, Pornpunyawut, Prapaporn, Weankhanan, Jaruwan, and Chotivichit, Areesak
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SPINAL stenosis ,LUMBAR vertebrae ,AXIAL loads ,MAGNETIC resonance imaging ,FOLLOW-up studies (Medicine) - Abstract
Objective: To evaluate the accuracy in determining the degree of lumbar spinal stenosis in patients utilizing lumbar spine magnetic resonance imaging (MRI) with axial loading as compared to conventional lumbar spine MRI with clinical correlation. To assess the difference in the dural cross sectional area (DCSA) between lumbar spine MRI with axial loading and conventional lumbar spine MRI. Materials and Methods: Thirteen patients with clinically diagnosed lumbar spinal stenosis, which comprised of three males and ten females, aged 20 to 80 years, and that had the severity of their stenosis clinically and radiologically graded by history taking, physical examination, and by performing both conventional and axial loaded MRI were included in this study. Results: The present study found a statistically significant difference (p<0.05) after applying load at all lumbar levels. The L4-L5 level showed the greatest reduction at 12.8%, followed by L3-L4 and L2-L3, in which the DCSA was reduced by 11.2% and 9.0%, respectively. Comparing the clinical severity and degree of each lumbar spinotic level and the maximum severity per person, the results showed that the most accuracy was at the L3-L4 level followed by L5-S1 and L2-L3 levels. No accuracy between clinical severity and the degree of lumbar spinal stenosis at L1-L2 and L4-L5 levels were shown, suggesting that more than the DCSA change influence the clinical severity. To gain further insights, following up patients and a study with more patients are needed. The maximum severity by D CSA measurement, both pre- and post-loading, of individual patients compared with clinical severity showed concordance for three patients. No significant difference in accuracy was found between pre- and post-loading. Conclusion: Changes in the DCSA of lumbar spinal stenosis after loading MRI was statistically significant especially at the moderate and severe stenotic levels particularly at the L3-4 level and L5-S1 level. [ABSTRACT FROM AUTHOR]
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- 2022
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8. Waterpipe Smoking and Lumbar Intervertebral Disc Degeneration: A Pilot Study.
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Ishak H, Sunna TP, Assaf SA, Banna H, Khouzami RA, Wang Z, Zaatari G, Rahme D, and Sakr CJ
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Study Design: Retrospective study., Objective: The objective of this study is to investigate the association of waterpipe smoking with lumbar intervertebral disc degeneration (IVDD)., Methods: This is a retrospective chart review study. A total of 286 adults who underwent a lumbar magnetic resonance imaging (MRI) at a tertiary medical center were included and divided into three groups. Group 1 (n = 125) included non-smokers, group 2 (n = 80) smoked cigarettes only, and group 3 (n = 81) smoked waterpipe only. The intervertebral discs were graded using the Pfirmann disc degeneration grading system., Results: The study showed higher lumbar disc degeneration scores for waterpipe and cigarette smokers compared to non-smokers at all spinal levels. Specifically, post hoc analysis showed that there was a significant difference at L1-L2 between cigarette smokers and non-smokers ( P = 0.007) and between waterpipe smokers and non-smokers ( P = 0.013), and a significant difference at L3-L4 and L4-L5 between non-smokers and cigarettes smokers ( P < .001 and P = .029 respectively)., Conclusion: Waterpipe smoking is associated with lumbar intervertebral disc degeneration., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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- 2024
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9. Comparison of image quality and diagnostic efficacy of routine clinical lumbar spine imaging at 0.55T and 1.5/3T.
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Lavrova, Anna, Seiberlich, Nicole, Kelsey, Lauren, Richardson, Jacob, Comer, John, Masotti, Maria, Itriago-Leon, Pedro, Wright, Katherine, and Mishra, Shruti
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LUMBAR vertebrae , *DIAGNOSTIC imaging , *INTERVERTEBRAL disk , *CAUDA equina , *SURGICAL complications , *LUMBAR vertebrae diseases - Abstract
To compare image quality, assess inter-reader variability, and evaluate the diagnostic efficacy of routine clinical lumbar spine sequences at 0.55T compared with those collected at 1.5/3T to assess common spine pathology. 665 image series across 70 studies, collected at 0.55T and 1.5/3T, were assessed by two neuroradiology fellows for overall imaging quality (OIQ), artifacts, and accurate visualization of anatomical features (intervertebral discs, neural foramina, spinal cord, bone marrow, and conus / cauda equina nerve roots) using a 4-point Likert scale (1 = non-diagnostic to 4 = excellent). For the 0.55T scans, the most appropriate diagnosis(es) from a picklist of common spine pathologies was selected. The mean ± SD of all scores for all features for each sequence and reader at 0.55T and 1.5/3T were calculated. Paired t-tests (p ≤ 0.05) were used to compare ratings between field strengths. The inter-reader agreement was calculated using linear-weighted Cohen's Kappa coefficient (p ≤ 0.05). Unpaired VCG analysis for OIQ was additionally employed to represent differences between 0.55T and 1.5/3T (95 % CI). All sequences at 0.55T were rated as acceptable (≥2) for diagnostic use by both readers despite significantly lower scores for some compared to those at 1.5/3T. While there was low inter-reader agreement on individual scores, the agreement on the diagnosis was high, demonstrating the potential of this system for detecting routine spine pathology. Clinical lumbar spine imaging at 0.55T produces diagnostic-quality images demonstrating the feasibility of its use in diagnosing spinal pathology, including osteomyelitis/discitis, post-surgical changes with complications, and metastatic disease. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks
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Ala S. Al-Kafri, Sud Sudirman, Abir Hussain, Dhiya Al-Jumeily, Friska Natalia, Hira Meidia, Nunik Afriliana, Wasfi Al-Rashdan, Mohammad Bashtawi, and Mohammed Al-Jumaily
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Lumbar spine MRI ,lumbar spinal stenosis ,semantic segmentation ,boundary delineation ,deep learning ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
We propose a methodology to aid clinicians in performing lumbar spinal stenosis detection through semantic segmentation and delineation of magnetic resonance imaging (MRI) scans of the lumbar spine using deep learning. Our dataset contains MRI studies of 515 patients with symptomatic back pains. Each study is annotated by expert radiologists with notes regarding the observed characteristics and condition of the lumbar spine. We have developed a ground truth dataset, containing image labels of four important regions in the lumbar spine, to be used as the training and test images to develop classification models for segmentation. We developed two novel metrics, namely confidence, and consistency, to assess the quality of the ground truth dataset through a derivation of the Jaccard Index. We experimented with semantic segmentation of our dataset using SegNet. Our evaluation of the segmentation and the delineation results show that our proposed methodology produces a very good performance as measured by several contour-based and region-based metrics. In addition, using the Cohen's kappa and frequency-weighted confidence metrics, we can show that 1) the model's performance is within the range of the worst and the best manual labeling results and 2) the ground-truth dataset has an excellent inter-rater agreement score. We also presented two representative delineation results of the worst and best segmentation based on their BF-score to show visually how accurate and suitable the results are for computer-aided-diagnosis purposes.
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- 2019
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11. Lumbar spine MRI versus non-lumbar imaging modalities in the diagnosis of sacral insufficiency fracture: a retrospective observational study
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Yoon Yi Kim, Bo Mi Chung, and Wan Tae Kim
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Sacral insufficiency fracture ,Sacrum ,MRI ,Lumbar spine MRI ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Sacral insufficiency fractures (SIFs) are a common cause of lower back pain in the elderly. However, because clinical symptoms are frequently vague and nonspecific and can mimic lumbar spine pathologies, initial imaging in SIF patients is frequently targeted at the lumbar spine rather than the sacrum, resulting in delayed diagnosis. The purpose of this study is to show the proportions of modalities used in diagnosing SIF in practice and to compare the clinical and imaging features of SIF diagnosed by lumbar spine MRI (L-spine MRI) with those diagnosed by non-lumbar imaging modalities (bone scan, pelvic bone CT, pelvis MRI). Methods Forty-two patients with SIF were enrolled in this study. SIFs diagnosed by L-spine were assigned to group 1 and SIFs diagnosed by non-lumbar imaging modalities (bone scan, pelvic bone CT, pelvis MRI) were assigned to group 2. The clinical and imaging features of SIFs were assessed and compared between two groups. Results SIF were more commonly diagnosed by L-spine MRI (group 1: n = 27, 64.3%) than non-lumbar imaging modalities (group 2: n = 15, 35.7%), which was comprised of pelvic bone CT (n = 6, 14.3%), bone scan (n = 5, 11.9%), and pelvis MRI (n = 4, 9.5%). Lower back pain, radiating pain and comorbid other causes of pain were more frequently identified in group 1. Fracture involving bilateral sacral ala with horizontal component was the most common shape and S2 being the most commonly involved horizontal component, without significant difference between two groups. Conclusion SIFs are more commonly diagnosed by L-spine MRI than non-lumbar imaging modalities, because of symptoms that mimic lumbar spine pathology and variable comorbid causes of pain. To know that L-spine MRI commonly reveal SIF and to be familiar with SIF features on L-spine MRI would help increase sensitivity in detecting this commonly underrecognized entity and achieve earlier and more appropriate management.
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- 2018
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12. Please be upstanding – A narrative review of evidence comparing upright to supine lumbar spine MRI
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M.A. Baker and Stuart Mackay
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musculoskeletal diseases ,medicine.medical_specialty ,Lumbar Vertebrae ,Supine position ,business.industry ,Lumbar spine MRI ,Radiography ,digestive, oral, and skin physiology ,medicine.disease ,Magnetic Resonance Imaging ,Spondylolisthesis ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Spinal Stenosis ,0302 clinical medicine ,Physical medicine and rehabilitation ,030220 oncology & carcinogenesis ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Narrative review ,Lumbar spine ,business - Abstract
Objectives The objective of the review was to examine the evidence comparing upright to supine MRI of the lumbar spine. Key findings A literature search identified 14 articles comparing data where subjects had been scanned in both supine and upright positions on the same scanner. Lumbar spine anatomy is dynamic and therefore subject to morphological changes when transitioning from the supine to the upright position. There is strong evidence to suggest structural changes in spinal morphology due to radiographic positioning, and that upright positioning is better for evaluating spondylolisthesis. Conclusion It has been demonstrated that the scanning position is important in the outcome of the MRI examination of the lumbar spine. With this in mind, it would be beneficial for guidance to be written and adopted to improve the consistency and quality of scanning. Implications for practice As upright MRI occupies a niche in the scanning sector, many professionals are unaware of its capabilities. This article aims to increase awareness of the use of upright MRI in evaluating the lumbar spine.
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- 2021
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13. The Composite Severity Score for Lumbar Spine MRI: a Metric of Cumulative Degenerative Disease Predicts Time Spent on Interpretation and Reporting
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Stuart R. Pomerantz, Walter F. Wiggins, Katherine P. Andriole, and Michael T. Caton
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Male ,medicine.medical_specialty ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Degenerative disease ,Lumbar ,Patient age ,Linear regression ,Radiologists ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Original Paper ,Lumbar Vertebrae ,Radiological and Ultrasound Technology ,business.industry ,Lumbar spine MRI ,medicine.disease ,Magnetic Resonance Imaging ,Computer Science Applications ,Stenosis ,surgical procedures, operative ,Female ,Radiology ,Metric (unit) ,business ,030217 neurology & neurosurgery ,Relative value unit - Abstract
Conventional measures of radiologist efficiency, such as the relative value unit, fail to account for variations in the complexity and difficulty of a given study. For lumbar spine MRI (LMRI), an ideal performance metric should account for the global severity of lumbar degenerative disease (LSDD) which may influence reporting time (RT), thereby affecting clinical productivity. This study aims to derive a global LSDD metric and estimate its effect on RT. A 10-year archive of LMRI reports comprising 13,388 exams was reviewed. Objective reporting timestamps were used to calculate RT. A natural language processing (NLP) tool was used to extract radiologist-assigned stenosis severity using a 6-point scale (0 = “normal” to 5 = “severe”) at each lumbar level. The composite severity score (CSS) was calculated as the sum of each of 18 stenosis grades. The predictive values of CSS, sex, age, radiologist identity, and referring service on RT were examined with multiple regression models. The NLP tool accurately classified LSDD in 94.8% of cases in a validation set. The CSS increased with patient age and differed between men and women. In a univariable model, CSS was a significant predictor of mean RT (R2 = 0.38, p p R2 = 0.83, p 25, R2 = 0.15, p = 0.05). Individual radiologist study volume was negatively correlated with mean RT (Pearson’s R = − 0.35, p
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- 2021
14. Reducing Inappropriate Lumbar Spine MRI for Low Back Pain: Radiology Support, Communication and Alignment Network.
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Wang, Kevin Yuqi, Yen, Christopher James, Chen, Melissa, Variyam, Darshan, Acosta, Tomas Uribe, Reed, Brian, Wintermark, Max, and Lincoln, Christie Mary
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Purpose: The aim of this study is to evaluate the impact of educational sessions on reducing lumbar spine MRI inappropriateness for uncomplicated low back pain and to present our institutional experience on the use of ACR's Radiology Support, Communication and Alignment Network (R-SCAN) program toward achieving appropriateness.Methods: The R-SCAN web portal was accessed to register a project. Using order entry data, the number of lumbar spine MRI orders placed per month at three family medicine clinics was assessed over a 10-month period. After educational presentations were given at those three clinics highlighting the American College of Physicians and Choosing Wisely campaign imaging guidelines, the number of MRI orders placed was reassessed over an additional 10 months. For a subset of these exams, the ACR Appropriateness Criteria rating of the lumbar spine MRIs were compared between the pre- and posteducation periods. A P value < .05 was considered statistically significant.Results: The average number of monthly MRIs ordered from all three clinics combined was 6.3 during the posteducation period, which was significantly less than during the pre-education period of 10.0 (P = .009). The combined average ACR Appropriateness Criteria rating made at all three clinics was 5.8 after educational sessions, which was significantly higher than the rating of 4.7 before educational sessions (P = .014).Conclusion: Clinician education, facilitated by R-SCAN, resulted in a reduced number of MRI lumbar spine studies performed for uncomplicated low back pain and improved appropriateness of those studies as measured by the ACR Appropriateness Criteria rating. [ABSTRACT FROM AUTHOR]- Published
- 2018
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15. Simultaneous Multislice-Based 5-Minute Lumbar Spine MRI Protocol: Initial Experience in a Clinical Setting.
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Longo, Maria G., Fagundes, Joana, Huang, Susie, Mehan, William, Witzel, Thomas, Bhat, Himanshu, Heberlein, Keith, Rosen, Bruce R., Rosenthal, Daniel, Gonzalez, Ramon G., Schaefer, Pamela W., and Rapalino, Otto
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LUMBAR vertebrae abnormality diagnosis , *MAGNETIC resonance imaging , *MEDICAL protocols , *DIAGNOSTIC imaging , *IMAGE quality in imaging systems - Abstract
Background and Purpose: Previous studies have used parallel imaging (PI) techniques to decrease spine magnetic resonance imaging (MRI) protocol acquisition times. Recently developed MRI sequences allow even faster acquisitions. Our purpose was to develop a lumbar spine MRI protocol using PI with GRAPPA (generalized autocalibrating partially parallel acquisition) and a simultaneous multislice (SMS)-based sequence and to evaluate its diagnostic performance compared to a standard lumbar spine MRI protocol.Methods: Ten patients were scanned in a 3-Tesla scanner (MAGNETOM Skyra, Siemens Healthcare). Each patient was imaged using a standard protocol and an optimized fast protocol acquiring the same contrasts and planes. The fast protocol included sagittal T1, T2, and fat suppressed T2 sequences accelerated with GRAPPA and an SMS-based axial T2-weighted sequence using a high-density spine coil (Siemens MR, 30 channel spine). Two blinded neuroradiologists independently assessed image quality and diagnostic accuracy for clinically relevant imaging findings.Results: The fast protocol acquisition time was 5:28 minutes, compared with 16:30 minutes for the standard protocol. Both protocols had a similar performance for definition of anatomical structures, diagnostic quality, and identification of clinically relevant imaging findings. There were more artifacts in the SMS Turbo Spin Echo (P = .014) sequence without compromising diagnostic performance. Artifacts in the remaining non-SMS sequences were similar in both protocols (P > .180). The sensitivity, specificity, and accuracy of the 5-minute protocol were 92.3%, 100.0%, and 99.6%, respectively, for the clinically relevant findings (P = 1.0, interrater agreement .57).Conclusions: A 5-minute SMS-based MRI protocol for lumbar spine imaging is feasible and can be achieved without significant impact in the overall diagnostic quality. [ABSTRACT FROM AUTHOR]- Published
- 2017
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16. Lumbar Spine MRI: Missed Opportunities for Abdominal Aortic Aneurysm Detection
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Anand M. Prabhakar and Evan J. Zucker
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Male ,medicine.medical_specialty ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Aortic aneurysm ,0302 clinical medicine ,Aneurysm ,Risk Factors ,medicine.artery ,Humans ,Mass Screening ,Medicine ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,Aorta ,Lumbar Vertebrae ,Smokers ,business.industry ,Lumbar spine MRI ,Abdominal aorta ,Retrospective cohort study ,medicine.disease ,Magnetic Resonance Imaging ,Abdominal aortic aneurysm ,Sagittal plane ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,cardiovascular system ,Female ,Radiology ,business ,Aortic Aneurysm, Abdominal - Abstract
The US Preventive Services Task Force (USPSTF) recommends 1-time sonographic screening for abdominal aortic aneurysms (AAAs) in male smokers ages 65-75 and other selected individuals in this age group based on risk factors. Patients in this age range are frequent utilizers of lumbar spine MRI, in which the abdominal aorta is typically fully imaged. The purpose of this study was to assess the potential detection rate of AAAs on lumbar spine MRI performed in the USPSTF screening age range with systematic aortic measurement and the frequency with which AAAs are currently reported in practice.All consecutive lumbar spine MRI exams performed without contrast at a single academic tertiary care center over a 1-year period (4/1/2016-3/31/2017) in patients ages 65-75 were retrospectively reviewed. Maximal anteroposterior, and transverse dimensions of the abdominal aorta were measured using axial T2-weighted images, supplemented with sagittal T2-weighted images if assessment was limited by field-of-view or artifact. The detection rate of AAA, defined as dilation of the aorta to a diameter of ≥3 cm, size of AAAs detected, and frequency with which AAAs were reported, were assessed. Differences in aortic diameters and aneurysm detection rates between genders were compared with the unpaired 2-sample t test.Three hundred and ninety-five lumbar spine MRIs were reviewed, 240 (60.8%) in women and 155 (39.2%) in men, with mean ± standard deviation (SD) age of 70.2 ± 3.2 years. AAAs were detected in 38/395 (9.6%) cases, most (33/38, 86.8%) of which were4 cm. Of these, only 4 (10.5%) were reported by the interpreting radiologist; 3/4 (75%) corresponded to aneurysms ≥4 cm.Lumbar spine MRI performed in the USPSTF AAA screening age range, especially in men, facilitates frequent detection of AAA when the aorta is systematically measured. However, in typical lumbar spine assessment, AAAs are often underreported, particularly for smaller aneurysms.
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- 2020
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17. Intra- and Intersubspecialty Variability in Lumbar Spine MRI Interpretation: A Multireader Study Comparing Musculoskeletal Radiologists and Neuroradiologists
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Christine Kim, Raymond Y. Huang, Jacob C. Mandell, Glenn C. Gaviola, Thomas C. Lee, Kirstin M. Small, Nityanand Miskin, and Ged G. Wieschhoff
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medicine.medical_specialty ,Spinal canal stenosis ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Spinal Stenosis ,0302 clinical medicine ,Cohen's kappa ,Image Interpretation, Computer-Assisted ,Radiologists ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Retrospective Studies ,Observer Variation ,Lumbar Vertebrae ,business.industry ,Lumbar spine MRI ,Reproducibility of Results ,Retrospective cohort study ,medicine.disease ,Magnetic Resonance Imaging ,Confidence interval ,Lateral recess ,Stenosis ,Radiology Information Systems ,030220 oncology & carcinogenesis ,Lumbar spine ,Radiology ,business - Abstract
Background and Purpose The purpose of this study is to assess the differences in degenerative spine MRI reporting between subspecialty-trained attending neuroradiologists and musculoskeletal radiologists (MSK) at a single institution, academic medical center. Materials and Methods Fifty consecutive outpatient noncontrast lumbar spine examinations were selected from the Picture Archiving and Communication System. Three MSK and 3 neuroradiologists (NR) independently reviewed and interpreted the exams at the L4-L5 and L5-S1 levels in the same manner as in clinical practice. The assessment of neural foraminal stenosis (NFS) and spinal canal stenosis (SCS) was converted to a 5-point ordinal scale. The assessment of lateral recess stenosis (LRS) and facet osteoarthritis (FO) was recorded as present/absent. Intersubspecialty and intrasubspecialty analysis was performed using Cohen's kappa coefficient with a binary matrix of all reader pairs. Results There was moderate intersubspecialty agreement (k = 0.527) for NFS and SCS (k = 0.540). Intersubspecialty agreement was slight for LRS (k = 0.0818) and FO (k = 0.176). The MSK group demonstrated greater intrasubspecialty agreement in assessment of NFS and SCS compared to the NR group, with nonoverlapping confidence intervals. The NR group demonstrated greater nominal intrasubspecialty agreement in the assessment of both LRS and FO, although with nonoverlapping confidence intervals. Conclusion There is moderate intersubspecialty agreement between MSK radiologists and neuroradiologists in reporting the severity of NFS and SCS, although MSK radiologists demonstrated greater intrasubspecialty agreement. There is slight intersubspecialty agreement for LRS and FO. The demonstration of differences in inter-reader agreement is a crucial first step to attempt to ameliorate these variabilities.
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- 2020
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18. Limited magnetic resonance imaging of the lumbar spine has high sensitivity for detection of acute fractures, infection, and malignancy.
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Wang, Benjamin, Fintelmann, Florian, Kamath, Ravi, Kattapuram, Susan, Rosenthal, Daniel, Fintelmann, Florian J, Kamath, Ravi S, Kattapuram, Susan V, and Rosenthal, Daniel I
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LUMBAR vertebrae , *SACRUM injuries , *PSOAS abscess , *LUMBAR pain , *MAGNETIC resonance imaging , *BACK , *BONE fractures , *INFECTION , *SACRUM , *SPINAL injuries , *TUMORS , *RETROSPECTIVE studies - Abstract
Objective: The objective of this study is to determine how a limited protocol MR examination compares to a full conventional MR examination for the detection of non-degenerative pathology such as acute fracture, infection, and malignancy.Materials and Methods: A sample of 349 non-contrast MR exams was selected retrospectively containing a 3:1:1:1 distribution of negative/degenerative change only, acute fracture, infection, and malignancy. This resulted in an even distribution of pathology and non-pathology. A limited protocol MR exam was simulated by extracting T1-weighted sagittal and T2-weighted fat-saturated (or STIR) sagittal sequences from each exam and submitting them for blinded review by two experienced musculoskeletal radiologists. The exams were evaluated for the presence or absence of non-degenerative pathology. Interpretation of the limited exam was compared to the original report of the full examination. If either reader disagreed with the original report, the case was submitted for an unblinded adjudication process with the participation of a third musculoskeletal radiologist to establish a consensus diagnosis.Results: There were five false negatives for a sensitivity of 96.9 % for the limited protocol MR exam. Infection in the psoas, paraspinal muscles, and sacroiliac joint, as well as acute fractures in transverse processes and sacrum were missed by one or more readers. No cases of malignancy were missed. Overall diagnostic accuracy was 96.0 % (335/349).Conclusions: MR imaging of the lumbar spine limited to sagittal T1-weighted and sagittal T2 fat-saturated (or STIR) sequences has high sensitivity for the detection of acute fracture, infection, or malignancy compared to a conventional MR examination. [ABSTRACT FROM AUTHOR]- Published
- 2016
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19. Psoas muscle index is related to hip fracture in osteoporosis: a cross-sectional MRI study
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Bilinc Dogruoz Karatekin and Zeynep Nilufer Tekin
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musculoskeletal diseases ,Male ,Osteoporosis ,Lumbar ,Absorptiometry, Photon ,Bone Density ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Psoas Muscles ,Retrospective Studies ,Bone mineral ,Hip fracture ,Lumbar Vertebrae ,medicine.diagnostic_test ,business.industry ,Hip Fractures ,Lumbar spine MRI ,Magnetic resonance imaging ,medicine.disease ,Magnetic Resonance Imaging ,Lumbar spine ,Female ,Nuclear medicine ,business ,Osteoporotic Fractures - Abstract
OBJECTIVE The aim of this study was to investigate the properties of psoas muscle in osteoporotic patients in lumbar magnetic resonance imaging (MRI) scan and their relationship with hip fracture. MATERIALS AND METHODS One hundred seventy-seven patients with osteoporosis (63.69 ± 9.677, 105 female) who had received lumbar spine MRI and dual-energy X-ray absorptiometry (DXA) examinations were retrospectively included. Thickness (PMT), cross-sectional areas (CSA), and index (PMI) values were measured for psoas muscle at L3 level and psoas muscle characteristics were compared between hip fracture and control groups. RESULTS PMT, CSA, and PMI values were statistically significantly different between hip fracture and control groups (respectively p
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- 2021
20. Combined lumbar spine MRI and CT appropriateness checklist: a quality improvement project in Saskatchewan, Canada
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Amir Azizian, Scott J. Adams, Tracey Carr, Gary Groot, and Maryam Madani Larijani
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musculoskeletal diseases ,medicine.medical_specialty ,Quality management ,Lumbar vertebrae ,Back pain ,medicine ,Medical imaging ,Humans ,AcademicSubjects/MED00860 ,Original Research Article ,Referral and Consultation ,medicine.diagnostic_test ,business.industry ,Health Policy ,Lumbar spine MRI ,Public Health, Environmental and Occupational Health ,Magnetic resonance imaging ,computed tomography ,General Medicine ,Low back pain ,lower back pain ,Magnetic Resonance Imaging ,Quality Improvement ,Checklist ,Saskatchewan ,medicine.anatomical_structure ,Radiology ,medicine.symptom ,business ,Tomography, X-Ray Computed ,imaging order appropriateness - Abstract
Background As rates of advanced imaging for lower back pain (LBP) continue to increase, there is a need to ensure the appropriateness of imaging. Objective The goal of this project was to reduce the number of inappropriate magnetic resonance imaging (MRI) and computed tomography (CT) requests for LBP patients and facilitate appropriate imaging by developing a combined imaging appropriateness checklist for lumbar spine MRI and CT. Methods In prior work, we developed and adopted individual evidence-based lumbar spine MRI and CT checklists into the radiology requisition process. In the current project, a combined checklist was developed and trialed in one of the former Saskatchewan health regions (Five Hills) beginning in May 2018. Using statistical process control, control charts compared the monthly number of imaging requests pre-checklist implementation and post-checklist implementation from May 2017 to February 2020. The monthly number of lumbar spine MRI and CT requisitions in the nearby former Saskatchewan Regina Qu’Appelle Health Region, in which the combined checklist was not trialed, was also plotted and compared as a balancing measure. Results In Five Hills, a shift (decrease) was observed in the monthly number of lumbar spine MRI requisitions 7 months following the implementation of the combined checklist. However, the monthly number of lumbar spine CT requisitions did not change significantly. In the Regina Qu’Appelle Health Region, there was a shift (increase) in the monthly number of lumbar spine MRI requisitions, while the monthly number of lumbar spine CT requests decreased after the implementation of the combined checklist. Conclusions The combined checklist with evidence-based indications for lumbar spine MRI and CT imaging in LBP patients appeared to reduce the complexity associated with two previous individual checklists and facilitate imaging appropriateness. Accountable benefits may include the reduction of radiation exposure as a result of unnecessary and repeated imaging and reduction in wait times for CT and/or MRI.
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- 2021
21. Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI
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Diyaa Abdul Rauf Algazwi, Beng Chin Ooi, Sterling Ellis Eide, Kaiyuan Yang, Lei Zhu, Yee Liang Thian, Andrew Makmur, Yiong Huak Chan, Naresh Kumar, Jiong Hao Tan, Swee Tian Quek, Samuel Lau, Yun Song Choo, Hiroshi Yoshioka, Qai Ven Yap, and James Thomas Patrick Decourcy Hallinan
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musculoskeletal diseases ,Adult ,Male ,medicine.medical_specialty ,Adolescent ,education ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Text mining ,Deep Learning ,Spinal Stenosis ,Image Interpretation, Computer-Assisted ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Retrospective Studies ,Foraminal stenosis ,Aged, 80 and over ,Lumbar Vertebrae ,business.industry ,Deep learning ,Lumbar spine MRI ,Lumbar spinal stenosis ,Reproducibility of Results ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Lateral recess ,Stenosis ,030220 oncology & carcinogenesis ,Female ,sense organs ,Artificial intelligence ,Radiology ,business - Abstract
Background Assessment of lumbar spinal stenosis at MRI is repetitive and time consuming. Deep learning (DL) could improve -productivity and the consistency of reporting. Purpose To develop a DL model for automated detection and classification of lumbar central canal, lateral recess, and neural -foraminal stenosis. Materials and Methods In this retrospective study, lumbar spine MRI scans obtained from September 2015 to September 2018 were included. Studies of patients with spinal instrumentation or studies with suboptimal image quality, as well as postgadolinium studies and studies of patients with scoliosis, were excluded. Axial T2-weighted and sagittal T1-weighted images were used. Studies were split into an internal training set (80%), validation set (9%), and test set (11%). Training data were labeled by four radiologists using predefined gradings (normal, mild, moderate, and severe). A two-component DL model was developed. First, a convolutional neural network (CNN) was trained to detect the region of interest (ROI), with a second CNN for classification. An internal test set was labeled by a musculoskeletal radiologist with 31 years of experience (reference standard) and two subspecialist radiologists (radiologist 1: A.M., 5 years of experience; radiologist 2: J.T.P.D.H., 9 years of experience). DL model performance on an external test set was evaluated. Detection recall (in percentage), interrater agreement (Gwet κ), sensitivity, and specificity were calculated. Results Overall, 446 MRI lumbar spine studies were analyzed (446 patients; mean age ± standard deviation, 52 years ± 19; 240 women), with 396 patients in the training (80%) and validation (9%) sets and 50 (11%) in the internal test set. For internal testing, DL model and radiologist central canal recall were greater than 99%, with reduced neural foramina recall for the DL model (84.5%) and radiologist 1 (83.9%) compared with radiologist 2 (97.1%) (
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- 2021
22. Postoperative lumbar spine MRI: How well does a radiology report that raises suspicion for infection correlate with true clinical infection?
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Bana Hadid, Afshin E. Razi, John K. Houten, Simone A. Betchen, Ahmed Saleh, Gila R. Weinstein, Amit Y. Schwartz, and Jordan B. Pasternack
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medicine.medical_specialty ,Lumbar ,Postoperative Complications ,Physiology (medical) ,medicine ,Humans ,Postoperative Period ,Retrospective Studies ,Retrospective review ,Lumbar Vertebrae ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Lumbosacral Region ,Leg pain ,Magnetic resonance imaging ,General Medicine ,medicine.disease ,Decompression, Surgical ,Magnetic Resonance Imaging ,Surgery ,Radiology report ,Neurology ,Seroma ,Lumbar spine ,Neurology (clinical) ,business ,Radiology - Abstract
Introduction Interpretation of a lumbar spine MRI in the immediate postoperative period is challenging, as postoperative tissue enhancement and fluid collections may be mistaken for infection. Radiology reports may use ambiguous language, creating a clinical problem for a surgeon in determining whether a patient needs treatment with antibiotics or revision surgery. Moreover, retrospective criticism of management in instances of a true infection may lead to medicolegal ramifications. Methods A retrospective review of patients undergoing posterior-approach lumbar decompressive surgery with or without fusion over a 30-month period identified those undergoing postoperative MRI within 10 weeks of surgery. Patients initially operated upon for infection were excluded. The MRI reports were analyzed for language describing findings suspicious for infection and those of these with true infections were identified. Results Of 487 patients undergoing posterior lumbar spine decompression surgery, 68 (14%) had postoperative MRI within 10 weeks. Of these, the radiology reports raised suspicion for infection in 20 (29%), of which 2 (10%) patients had a true infection. Two patients underwent reoperation for new motor deficit from seroma/hematoma. Of 63 patients who had MRI to evaluate complaints of back and/or leg pain without new motor deficits, the MRI significantly altered management in 3 patients (4.8%). Conclusion Radiology reports of postoperative lumbar spine MRIs frequently use language that raises suspicion for infection; but it is uncommon, however, that these patients harbor true infections. A radiology report describing possible infectious findings may not be considered significant without corroboration with other laboratory and clinical data.
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- 2021
23. Incidental Extraspinal Findings at Lumbar Spine Magnetic Resonance Imaging: A Retrospective Study.
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Semaan, Hassan B., Bieszczad, Jacob E., Obri, Tawfik, Aldinger, Paul K., Bazerbashi, Mohamad F., Al-Natour, Mohammed S., and Elgafy, Hossein
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ANTERIOR longitudinal ligament , *SPINAL cord abnormalities , *SPINAL cord diseases , *MAGNETIC fields , *LUMBAR vertebrae , *DIAGNOSIS , *MAGNETIC resonance imaging , *PREDICTIVE tests , *RETROSPECTIVE studies , *LUMBAR pain - Abstract
Study Design: Retrospective study of a consecutive series of patients undergoing lumbar spine magnetic resonance imaging (MRI) for low back pain at a single institution.Objective: To determine the prevalence and nondetection rate of incidental extraspinal findings (IESFs) in adult patients undergoing MRI of the lumbar spine performed for low back pain by using a structured approach.Summary Of Background Data: Extraspinal findings are depicted on lumbar spine magnetic resonance image. There is limited evidence concerning their prevalence, importance, how often they are missed by interpreting physician, and how to improve their detection.Methods: Our study was approved by our institutional review board committee, which waived informed consent because it was retrospective. Lumbar spine magnetic resonance images obtained for low back pain at our institution from January 2011 to December 2013 were assessed by 3 readers for IESFs using a structured approach and their results compared with the archived reports. Repeat lumbar spine MRI and cases with a history of trauma were excluded. A total of 3024 lumbar spine magnetic resonance images were included. IESFs were classified according to the organ involved and to the model adopted by the modified CT Colonography Reporting and Data System (C-RADS). Nondetection rates were determined by comparing the results of our structured approach with the archived MRI reports.Results: A total of 859 IESFs were found in 671 of 3024 lumbar spine patients undergoing MRI (22%). A total of 623 out of them (73%) were categorized E2 (clinically unimportant finding), 192 (22%) were categorized E3 (likely unimportant finding), and 44 (5%) were categorized E4 (potentially important finding). A total of 347 of 859 findings were not mentioned in the archived reports for a nondetection rate of 40%. The nondetection rate for E4 category findings was 38.6% (17/44).Conclusion: IESFs on lumbar spine MRI are common with a significant nondetection rate of 40% using a nonstructured approach. Specifically, there was a significant nondetection rate of 38.6% for potentially important (E4) findings.Level Of Evidence: 3. [ABSTRACT FROM AUTHOR]- Published
- 2015
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24. The association of spinal lean muscle volume on lumbar spine MRI and regional volumetric bone mineral density measured by quantitative computed tomography
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Andrew A. Sama, Erika Chiapparelli, Frank P. Cammisa, Dominik Adl Amini, Jiaqi Zhu, Federico P. Girardi, Alexander P. Hughes, Ek Tsoon Tan, Ichiro Okano, Jennifer Shue, and Lisa Oezel
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Bone mineral ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Medicine ,Neurology. Diseases of the nervous system ,Quantitative computed tomography ,Muscle volume ,Nuclear medicine ,business ,RC346-429 - Published
- 2021
25. Extraspinal findings prevalence and clinical significance in 4250 lumbar spine MRI exams
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Mwaffaq El-Heis, Ahmad Farah, Maha Gharaibeh, Ruba Khasawneh, Firas A. Khasawneh, and Ziyad M Mohaidat
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Science ,Urinary system ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Prevalence ,Medicine ,Humans ,Clinical significance ,Young adult ,Child ,Hydronephrosis ,Skeleton ,Aged ,Retrospective Studies ,Aged, 80 and over ,Incidental Findings ,Multidisciplinary ,Lumbar Vertebrae ,business.industry ,Cysts ,Lumbar spine MRI ,Infant ,Retrospective cohort study ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Clinical diagnosis ,Child, Preschool ,Female ,Radiology ,business ,030217 neurology & neurosurgery ,Kappa - Abstract
To assess extraspinal findings (ESFs) prevalence in lumbar spine MRI, including clinically significant findings using a systematic approach, and to determine their reporting rate. Lumbar spine MRI scans were retrospectively reviewed over 18 months by two radiologists. Reading discrepancies were resolved by consensus. ESFs were classified according to the involved system, clinical diagnosis, and clinical significance. The reporting rate was estimated by referring to the original report. There were 1509 ESFs in 1322/4250 patients with a substantial agreement between the two radiologists (kappa = 0.8). Almost half (621/1322) were in the 45–60 age group. Females represented 56.6% (748/1322). 74.2% (1120/1509) of the ESFs involved the urinary system among which 79.6% (892/1120) were renal cysts. Clinically significant findings represented 8.7% (131/1509) among which hydronephrosis represented 23% (30/131). First time detected malignant lesions represented 4.6% (6/131). ESFs reporting rate was 47.3%. 58.8% of the clinically significant ESFs were not reported. ESFs prevalence was 31.1%. The Urinary system was the most commonly involved. Most ESFs were benign warranting no further workup. However, clinically significant ESF were not infrequently detected. More than half of the clinically significant findings were not reported. A systematic review of MRI images is highly recommended to improve patient’s outcome.
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- 2021
26. Readability of extraspinal organs on scout images of lumbar spine MRI according to different protocols
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Jiwoon Seo, Joon Woo Lee, Hee Dong Chae, Ja Yeon You, Heung Sik Kang, and Jee Won Chai
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Male ,Image Processing ,030204 cardiovascular system & hematology ,Kidney ,Diagnostic Radiology ,030218 nuclear medicine & medical imaging ,0302 clinical medicine ,Medicine and Health Sciences ,Medical Personnel ,Musculoskeletal System ,Aged, 80 and over ,Sacroiliac joint ,Incidental Findings ,Lumbar Vertebrae ,Multidisciplinary ,medicine.diagnostic_test ,Femur Neck ,Radiology and Imaging ,Femur Head ,Middle Aged ,Magnetic Resonance Imaging ,Professions ,medicine.anatomical_structure ,Engineering and Technology ,Medicine ,Female ,Radiology ,Anatomy ,Research Article ,Adult ,medicine.medical_specialty ,Imaging Techniques ,Science ,Research and Analysis Methods ,Necrosis ,03 medical and health sciences ,Femoral head ,Signs and Symptoms ,Lumbar ,Diagnostic Medicine ,Radiologists ,medicine ,Humans ,Skeleton ,Aged ,Retrospective Studies ,Femoral neck ,business.industry ,Lumbar spine MRI ,Lumbosacral Region ,Biology and Life Sciences ,Kidneys ,Sacroiliac Joint ,Magnetic resonance imaging ,Renal System ,Spine ,Readability ,Coronal plane ,Signal Processing ,People and Places ,Population Groupings ,Clinical Medicine ,business ,Head ,Low Back Pain ,Neck - Abstract
Background Scout images of lumbar spine MRI often include the extraspinal organs, which are barely included in routine MRI and can be a potential cause of lumbar pain. Purpose To evaluate the readability of scout images for extraspinal organs in lumbar spine MRI according to different protocols. Materials and methods A total of 150 patients who underwent 1.5 T or 3 T lumbar spine MRI from March to September 2015 at three hospitals with different scout image protocols, were selected. Two radiologists independently reviewed the scout images to investigate whether exclusive diagnosis of major diseases involving the femoral head, femoral neck, sacroiliac joint, and kidneys was possible. Readability levels were divided into four categories: definitely, possibly, limited, and non-evaluable. The readability of scout images according to the protocols was compared using Chi-square test. Interobserver agreement for the readability level of scout images was assessed using weighted κ statistics. Results Of 150 patients, “definitely evaluable” cases classified by two readers were 50–62 (33.3–41.3%) for femoral head (κ = 0.63–0.71), 37–66 (24.7–44.0%) for femoral neck (κ = 0.41–0.48), 72–93 (48.0–62.0%) for sacroiliac joint (κ = 0.35–0.37), and 63–73 (42.0–48.7%) for kidneys (κ = 0.45–0.47). More than 50% of femoral heads were classified as readable (definitely or possible evaluable) cases by two readers with excellent interobserver agreement. The readability level of scout images was significantly different according to image protocols including the MRI sequence, number of coronal plane slices, and intersection gap of coronal plane slices (p≤0.015). Conclusion Scout images of lumbar spine MRI may be readable enough to rule out some major diseases of extraspinal organs. Standardization of the protocol will be needed to validate the potential role of scout images for screening extraspinal organs.
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- 2021
27. Overreporting of the disc herniation in lumbar spine MRI scans performed for patients with spondylolisthesis
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Tawfik Obri, Hassan Semaan, Maxwell Cooper, Mazzin Elsamaloty, Hossein Elgafy, Bryan Curnutte, and Joud Obri
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Adult ,Male ,Disc herniation ,Supine position ,Adolescent ,Slip (materials science) ,Diagnosis, Differential ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Diagnostic Errors ,Aged ,Retrospective Studies ,Aged, 80 and over ,030222 orthopedics ,Lumbar Vertebrae ,Radiological and Ultrasound Technology ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Magnetic resonance imaging ,General Medicine ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Spondylolisthesis ,Lumbar spine ,Female ,business ,Nuclear medicine ,030217 neurology & neurosurgery ,Intervertebral Disc Displacement - Abstract
BackgroundSpondylolisthesis is often misdiagnosed on magnetic resonance imaging (MRI) as the slip may reduce to a normal alignment when the patient lies supine. Often, disc herniation is reported at the level of spondylolisthesis.PurposeTo determine the incidence rates of disc herniation at the level of spondylolisthesis.Material and MethodsThis is a retrospective study included 258 consecutive patients with spondylolisthesis who had lumbar spine MRI. The archived reports were collectively put in Group 1. A musculoskeletal radiologist and a spine surgeon reviewed the imaging studies together. Their readings were referred to as Group 2. The findings of both groups were compared to evaluate whether disc herniation was overreported.ResultsGroup 1 reported findings of true disc herniation in 112 (41.6%) cases and pseudo disc herniation or no findings of disc herniation at the level of spondylolisthesis in 157 (58.4%) cases. Group 2 reported findings of a true disc herniation in 25 (9.3%) cases and pseudo disc herniation or no findings of disc herniation in the remaining 244 (90.7%) cases. There was a statistically significant difference in the reporting rates between these two groups ( P ConclusionThe current study showed overreporting of disc herniation in lumbar spine MRI scans performed for patients with established spondylolisthesis. The majority of disc pathology at the level of spondylolisthesis are pseudo disc rather than a true disc herniation. An accurate diagnosis is vital in planning surgical intervention.
- Published
- 2020
28. Extraspinal findings on routine lumbar spinal MR imaging: Prevalence and etiologies in 4012 patients
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Zeliha Cosgun, Emine Dagistan, BAİBÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Dağıstan, Emine, and Coşgun, Zeliha
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Extraspinal Pathologies ,Incidental Findings ,medicine.medical_specialty ,medicine.diagnostic_test ,Sciatalgia ,business.industry ,Lumbar spine MRI ,Magnetic resonance imaging ,Mean age ,Magnetic Resonance Imaging ,Low back pain ,Mr imaging ,Lumbar ,medicine ,Etiology ,Lumbar spine ,Radiology ,medicine.symptom ,business ,Low Back Pain - Abstract
Aim: To investigate the prevalence and reporting rates of incidental findings (IF) in the routine magnetic resonance imaging(MRI) of the lumbar spine, and to emphasize their clinical importance. Methods: A total of 4012 lumbar MRI taken between January 2014 and December 2016 were reevaluated. The low back pain and sciatalgia those suspected for lumbar spinal pathology were chosen for this study. Extra-spinal abnormalities were classified according to a modified CT Colonography Reporting and Data System (C-RADS) and analyzed. Results The mean age of patients was 49, 83 (range 17-87) years. Of the cases, 2472 were women and 1540 were men. In 3834 cases, disk pathology was observed. In 1282 cases extraspinal pathology was detected. The largest group in the study consisted of C-RADS E2 with 1048 patients (82.5%). There were 195 patients (28.3%) in the C-RADS E3 group and 23 (1.8%) patients in the C-RADS E4 group, potentially important. Conclusion: Our results show that random extra-spinal abnormalities in the lumbar spine MRI, are very common and systematic evaluation and proper reporting of MRI are crucial.
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- 2020
29. Variability in the size of the retroperitoneal oblique corridor: A magnetic resonance imaging-based analysis
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Sean M. Barber, Jonathan J. Lee, Olumide Sokunbi, Todd Trask, J. Bob Blacklock, Zain Boghani, Paul J. Holman, and William Iii Steele
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Lumbar interbody fusion ,Minimally invasive surgical ,03 medical and health sciences ,0302 clinical medicine ,Magnetic resonance imaging ,medicine.artery ,Disc space ,Medicine ,Fusion ,Oblique lumbar interbody fusion ,Aorta ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Oblique case ,Limiting ,Vertebral body ,030220 oncology & carcinogenesis ,Surgery ,Lumbar spine ,Original Article ,Neurology (clinical) ,business ,Nuclear medicine ,030217 neurology & neurosurgery - Abstract
Background: A minimally invasive approach to the L2-S1 disc spaces through a single, left-sided, retroperitoneal oblique corridor has been previously described. However, the size of this corridor varies, limiting access to the disc space in certain patients. Here, the authors retrospectively reviewed lumbar spine magnetic resonance imaging (MRI) in 300 patients to better define the size and variability of the retroperitoneal oblique corridor. Methods: Lumbar spine MRI from 300 patients was reviewed. The size of the retroperitoneal oblique corridor from L2-S1 was measured. It was defined as the (1) distance between the medial aspect of the aorta and the lateral aspect of the psoas muscle from L2-L5 and (2) the distance between the midpoint of the L5-S1 disc and the medial aspect of the nearest major vessel on the left at L5-S1. In addition, the rostral-caudal location of the iliac bifurcation was measured. Results: The size of the retroperitoneal oblique corridor at L2/3, L3/4, L4/5, and L5/S1 was, respectively, 17.3 ± 6.4 mm, 16.2 ± 6.3 mm, 14.8 ± 7.8 cm, and 13.0 ± 8.3 mm. The incidence of corridor size n = 158, 52.67%) followed by the L4/5 disc space (n = 74, 24.67%). Conclusion: The size of the retroperitoneal oblique corridor diminishes in a rostral-caudal direction, often limiting access to the L4/5 and L5/S1 disc spaces.
- Published
- 2020
30. Precisão do sinal do beijo na RM da coluna lombar em casos de hérnia do disco axial e a correlação cirúrgica: um estudo multicêntrico indiano
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Yash Gulati, Jitendra Parmar, Bhupesh Patel, Chander Mohan, and Maulik Vora
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medicine.medical_specialty ,Disc herniation ,Nerve root ,lcsh:Medicine ,Intervertebral disc displacement ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Magnetic resonance imaging ,0302 clinical medicine ,lcsh:Orthopedic surgery ,Medicine ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,lcsh:R ,Deslocamento do disco intervertebral ,Cauda equina ,General Medicine ,Ressonância magnética ,Coluna/cirurgia ,Spine/surgery ,lcsh:RD701-811 ,medicine.anatomical_structure ,Intervertebral Disc Displacement ,Multi center study ,Original Article ,Radiology ,business ,human activities ,030217 neurology & neurosurgery ,Sign (mathematics) - Abstract
Objectives: Magnetic resonance imaging has proven to be a valuable tool in the assessment of disc abnormalities. Two types of disc extrusion can be described according to the direction of herniated disc material: shoulder type and axillary type. Axillary disc herniation is described when the extruded disc fragment lies in the recess between the lateral border of cauda equina and medial to the nerve roots, while in the shoulder type the disc lies lateral to the nerve roots. It is very important to describe the type of disc herniation, as the surgical approach differs in each type. To the best of the authors' knowledge, no definite signs have been described in literature to date. This study aimed to address the accuracy of the kissing sign on MRI for he diagnosis of axillary disc herniation. Methods: The MRIs of 72 patients undergoing spinal surgery were prospectively evaluated for axillary disc herniation by a senior radiologist and experienced spinal surgeon using the kissing sign on MRI. The kissing sign was considered positive when the herniated disc material was in direct contact with the lamina and/or ligamentum flavum on axial images. Subsequently, all surgeries were performed by two independent surgeons and the actual type of disc herniation was documented. The accuracy of the results was statistically assessed. Results: The kissing sign on MRI was found to be 66.66% sensitive, 92.59% specific, and 76.38% accurate in detecting axillary disc herniation with significant correlation with the surgical findings. Conclusion: The type of disc herniation is an important parameter for patient selection in different surgical approaches. The kissing sign on MRI can be considered as an important tool for diagnosing axillary disc herniation due to its high specificity and accuracy. RESUMO Objetivos: A ressonância magnética provou ser uma ferramenta valiosa na avaliação das anormalidades do disco. Dois tipos de extrusão de disco podem ser descritos de acordo com a direção do disco herniado: lateral e axilar. A hérnia de disco axilar é definida quando o fragmento do disco extruso encontra-se no recesso entre a borda lateral da cauda equina e medial às raízes do nervo, enquanto na hérnia lateral o disco posiciona-se lateralmente às raízes do nervo. A descrição do tipo de hérnia de disco é extremamente importante, pois a abordagem cirúrgica difere em cada tipo. Tanto quanto é do conhecimento dos autores, nenhum sinal definido foi descrito na literatura até o momento. Este estudo teve como objetivo abordar a precisão do sinal do beijo na RM no diagnóstico de herniação de disco axilar. Métodos: As RM de 72 pacientes submetidos à cirurgia da coluna vertebral foram avaliadas prospectivamente em relação à presença de hérnia de disco axilar por um radiologista sênior e cirurgião da coluna experiente com o sinal do beijo na RM. O sinal do beijo foi considerado positivo quando o material do disco herniado estava em contato direto com a lâmina e/ou ligamento amarelo em imagens axiais. Posteriormente, todas as cirurgias foram feitas por dois cirurgiões independentes e o tipo real de hérnia de disco foi documentado. A precisão dos resultados foi avaliada estatisticamente. Resultados: O sinal do beijo na RM apresentou 66,66% de sensibilidade, 92,59% de especificidade e 76,38% de precisão na detecção de hérnia de disco axilar com correlação significativa com os achados cirúrgicos. Conclusão: O tipo de hérnia de disco é um parâmetro importante para a seleção de pacientes em diferentes abordagens cirúrgicas. O sinal do beijo na RM pode ser considerado uma ferramenta importante para o diagnóstico de hérnia de disco axilar devido à sua alta especificidade e precisão.
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- 2018
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31. Investigation on human lumbar spine MRI image using finite element method and soft computing techniques
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P.K. Suresh and E. Punarselvam
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medicine.diagnostic_test ,Computer Networks and Communications ,Computer science ,Lumbar spine MRI ,020206 networking & telecommunications ,Magnetic resonance imaging ,02 engineering and technology ,medicine.disease ,Low back pain ,Finite element method ,Edge detection ,Degenerative disc disease ,Lumbar ,Human spine ,0202 electrical engineering, electronic engineering, information engineering ,Back pain ,medicine ,020201 artificial intelligence & image processing ,Lumbar spine ,medicine.symptom ,Software ,Biomedical engineering - Abstract
In an overall human population, maximum number of adults suffers from back pain. Low back pain in any individual will greatly affect their daily routine. Recent Developments of Bio Science and the superior availability of Computer Technology enabled abundant active researches combining digital technologies like magnetic resonance imaging (MRI) with finite element analysis (FEA) offer better diagnosis and treatment options. Clinically, lumbar degenerative disc disease (LDDD) is of the main reason for low back pain. Degenerative disc disease in the lumbar region of the lower back is due to a compromised disc leading to low back pain. Aging and overloading factors are also some of the causes for low back pain. Once the chronic disc problem has been diagnosed, the conservative treatments like: specific rest, friction force medical aid or physiotherapy and exercise are followed. When correctly diagnosed, an excessive amount of medical/surgical treatments can be avoided. The aim of the study is to generate a mesh model and numerically simulate the biomechanical characteristics of the human spine, namely two vertebrae (L4 and L5) and inter vertebrae disc using finite element analysis (FEA) technique. In this process the bony areas of every MRI scanned image is segmented and the boundary lines are stacked into a smooth surface. Additionally, the technique generates the quantity mesh exploitation linear unit that is used to process the mesh for agreement. Moreover, L4 and L5 with disc were considered as linear materials with the exception of the ligaments. The contact behaviour of the two bones, simulation of disc and obtained displacements and stress describe about the pre-operation of human lumbar spine. The results depict that the potential fracture of the considered patient with respect to displacements. In this paper the implementation of various filtering techniques like median filter technique, Wiener filter technique and bilateral filter technique have been discussed. Using various edge detection algorithms namely, Canny edge detection, Sobel edge detection, Prewitt edge detection and Roberts edge detection, the results were compared. Among them, spine Canny edge detection algorithm produced effective output using MATLAB estimating the following parameters like total deformation, equivalent elastic strain, maximum and minimum principal elastic strain, normal elastic strain, shear elastic strain, equivalent stress, maximum and minimum principal stress, normal stress and shear stress. With the help of these parameters, the human spine model was analyzed and computed under different conditions at various degree of angles like 30°, 60° and 90° using the simulation software ANSYS and CATIA. The implementation has done with MATLAB, whereas the stress and strain have been found at the plate bone of aspect joint of L4 and L5.
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- 2018
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32. Deep Learning for Lumbar Spine MRI Reporting: A Welcome Tool for Radiologists
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Daichi Hayashi
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medicine.medical_specialty ,business.industry ,Deep learning ,Lumbar spine MRI ,MEDLINE ,Magnetic Resonance Imaging ,Deep Learning ,Text mining ,Radiologists ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Medical physics ,Artificial intelligence ,business - Published
- 2021
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33. Magnetic Susceptibility Artifacts by Air Space in Lumbar MRI Sagittal Fat Suppression
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Youngjin Lee, Yeong-Cheol Heo, Dong-Kyoon Han, Seong-Bong Cho, Hyun-Soo Jeon, and Eun-Bin Chung
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010302 applied physics ,business.industry ,Lumbar spine MRI ,Fat suppression ,020206 networking & telecommunications ,02 engineering and technology ,Condensed Matter Physics ,01 natural sciences ,Magnetic susceptibility ,Sagittal plane ,Electronic, Optical and Magnetic Materials ,Lumbar ,medicine.anatomical_structure ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Medicine ,Air space ,Electrical and Electronic Engineering ,business ,Nuclear medicine - Published
- 2017
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34. Simultaneous Multislice-Based 5-Minute Lumbar Spine MRI Protocol: Initial Experience in a Clinical Setting
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Maria Gabriela Figueiro Longo, Ramon G. Gonzalez, Thomas Witzel, Joana Fagundes, Himanshu Bhat, Susie Y. Huang, Keith Heberlein, Otto Rapalino, Pamela W. Schaefer, William A. Mehan, Bruce R. Rosen, and Daniel I. Rosenthal
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Protocol (science) ,medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,Image quality ,Lumbar spine MRI ,Simultaneous multislice ,Magnetic resonance imaging ,Sagittal plane ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,medicine ,Standard protocol ,Radiology, Nuclear Medicine and imaging ,Neurology (clinical) ,Radiology ,Parallel imaging ,Nuclear medicine ,business ,030217 neurology & neurosurgery - Abstract
BACKGROUND AND PURPOSE Previous studies have used parallel imaging (PI) techniques to decrease spine magnetic resonance imaging (MRI) protocol acquisition times. Recently developed MRI sequences allow even faster acquisitions. Our purpose was to develop a lumbar spine MRI protocol using PI with GRAPPA (generalized autocalibrating partially parallel acquisition) and a simultaneous multislice (SMS)–based sequence and to evaluate its diagnostic performance compared to a standard lumbar spine MRI protocol. METHODS Ten patients were scanned in a 3-Tesla scanner (MAGNETOM Skyra, Siemens Healthcare). Each patient was imaged using a standard protocol and an optimized fast protocol acquiring the same contrasts and planes. The fast protocol included sagittal T1, T2, and fat suppressed T2 sequences accelerated with GRAPPA and an SMS-based axial T2-weighted sequence using a high-density spine coil (Siemens MR, 30 channel spine). Two blinded neuroradiologists independently assessed image quality and diagnostic accuracy for clinically relevant imaging findings. RESULTS The fast protocol acquisition time was 5:28 minutes, compared with 16:30 minutes for the standard protocol. Both protocols had a similar performance for definition of anatomical structures, diagnostic quality, and identification of clinically relevant imaging findings. There were more artifacts in the SMS Turbo Spin Echo (P = .014) sequence without compromising diagnostic performance. Artifacts in the remaining non-SMS sequences were similar in both protocols (P > .180). The sensitivity, specificity, and accuracy of the 5-minute protocol were 92.3%, 100.0%, and 99.6%, respectively, for the clinically relevant findings (P = 1.0, interrater agreement .57). CONCLUSIONS A 5-minute SMS-based MRI protocol for lumbar spine imaging is feasible and can be achieved without significant impact in the overall diagnostic quality.
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- 2017
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35. Capsule Commentary on Nevedal et al. 'Factors Influencing Primary Care Providers' Unneeded Lumbar Spine MRI Orders for Acute, Uncomplicated Low-Back Pain: a Qualitative Study Use of Patient Decision'
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Amir Mohammad
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medicine.medical_specialty ,Lumbar Vertebrae ,Primary Health Care ,business.industry ,Lumbar spine MRI ,MEDLINE ,Capsule Commentary ,de-implementation ,Primary care ,Low back pain ,Acute Pain ,primary care providers ,low-back pain ,Internal Medicine ,Physical therapy ,Medicine ,Humans ,magnetic resonance imaging ,medicine.symptom ,business ,Low Back Pain ,qualitative research ,Qualitative research ,Original Research - Abstract
Background Clinical practice guidelines suggest that magnetic resonance imaging of the lumbar spine (LS-MRI) is unneeded during the first 6 weeks of acute, uncomplicated low-back pain. Unneeded LS-MRIs do not improve patient outcomes, lead to unnecessary surgeries and procedures, and cost the US healthcare system about $300 million dollars per year. However, why primary care providers (PCPs) order unneeded LS-MRI for acute, uncomplicated low-back pain is poorly understood. Objective To characterize and explain the factors contributing to PCPs ordering unneeded LS-MRI for acute, uncomplicated low-back pain. Design Qualitative study using semi-structured interviews. Participants Veterans Affairs PCPs identified from administrative data as having high or low rates of guideline-concordant LS-MRI ordering in 2016. Approach Providers were interviewed about their use of LS-MRI for acute, uncomplicated low-back pain and factors contributing to their decision-making. Directed content analysis of transcripts was conducted to identify and compare environmental-, patient-, and provider-level factors contributing to unneeded LS-MRI. Key Results Fifty-five PCPs participated (8.6% response rate). Both low (n = 33) and high (n = 22) guideline-concordant providers reported that LS-MRIs were required for specialty care referrals, but they differed in how other environmental factors (stringency of radiology utilization review, management of patient travel burden, and time constraints) contributed to LS-MRI ordering patterns. Low- and high-guideline-concordant providers reported similar patient factors (beliefs in value of imaging and pressure on providers). However, provider groups differed in how provider-level factors (guideline familiarity and agreement, the extent to which they acquiesced to patients, and belief in the value of LS-MRI) contributed to LS-MRI ordering patterns. Conclusions Results describe how diverse environmental, patient, and provider factors contribute to unneeded LS-MRI for acute, uncomplicated low-back pain. Prior research using a single intervention to reduce unneeded LS-MRI has been ineffective. Results suggest that multifaceted de-implementation strategies may be required to reduce unneeded LS-MRI. Electronic supplementary material The online version of this article (10.1007/s11606-019-05410-y) contains supplementary material, which is available to authorized users.
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- 2020
36. Incidental findings in lumbar spine MRI: their prevalence and potential impact on patient management
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Momena Essam Elsadawy and Heba Ibrahim
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musculoskeletal diseases ,lcsh:Medical physics. Medical radiology. Nuclear medicine ,Potential impact ,medicine.medical_specialty ,Spinal ,business.industry ,lcsh:R895-920 ,Lumbar spine MRI ,Back pain ,Patient management ,Lumbar ,medicine ,Radiology, Nuclear Medicine and imaging ,Radiology ,business ,MRI - Abstract
Background To document the prevalence of extra spinal findings in lumbar MRI Results Among the scanned 400 patients, 90 cases had incidental non-spinal findings, and in 30 out of these 90 patients, the finding was the only reason for their complaint. Conclusions Radiologists should give attention to the non-spinal findings in lumbar spine MRI, as the detected pathology could be the source of pain or could potential life-threatening conditions.
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- 2019
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37. Follow-Up of Incidental Renal Lesions on Lumbar Spine MRI
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Vimal Patel, Gavin Low, and Rishi Philip Mathew
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medicine.medical_specialty ,Lumbar Vertebrae ,business.industry ,Lumbar spine MRI ,medicine ,Radiology, Nuclear Medicine and imaging ,General Medicine ,Radiology ,business ,Kidney ,Magnetic Resonance Imaging ,Follow-Up Studies - Published
- 2019
38. Methodology to Determine Important-Points Location for Automated Lumbar Spine Stenosis Diagnosis Procedure
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Ala S. Al-Kafri, Nunik Afriliana, Sud Sudirman, Friska Natalia, and Hira Meidia
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medicine.medical_specialty ,business.industry ,Lumbar spine MRI ,medicine ,Lumbar spinal stenosis ,Chronic lower back pain ,Radiology ,medicine.disease ,business ,Lumbar spine stenosis - Abstract
Chronic Lower Back Pain (CLBP) is one of the major types of pain that is affecting many people around the world. Lumbar Spine Stenosis (LSS), a major cause of CLBP, requires experienced neuroradiologists to detect and diagnose. It has been reported that the number of MRI examinations around the world is increasing but the number of specialist neuroradiologists to examine and analyse them has not. This paper presents a continuation of our methodology to automatically detect the presence of LSS by analyzing lumbar spine MRI images. It details important points location-determination algorithm that can be further processed in the LSS diagnosis procedure. We use the results of our, previously developed, boundary delineation method to supply boundary points to the algorithm. The algorithm is applied to the best cut axial-view images of the intervertebral discs of 515 patients contained in the Lumbar Spine MRI dataset. The results of the important points locations are presented.
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- 2019
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39. Diffusion Tensor Imaging with Quantitative Evaluation of Sciatic Nerve within the Pelvis in Patients with Noncontributory Lumbar Spine MRI in Radiculopathy
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G. Carbognin, E. Demozzi, L. Romano, M. Catania, G. Foti, G. Mansueto, and S. Caia
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medicine.anatomical_structure ,business.industry ,Lumbar spine MRI ,Medicine ,In patient ,Sciatic nerve ,business ,Nuclear medicine ,Pelvis ,Diffusion MRI - Published
- 2019
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40. Does elite swimming accelerate lumbar intervertebral disc degeneration and increase low back pain? A cross-sectional comparison
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Erland Magnussen, Tom Bendix, Christian Wong, Jaro Karppinen, Rasmus Hertzum Larsen, Steffen Folkvardsen, and Juha Auvinen
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Adult ,Male ,musculoskeletal diseases ,medicine.medical_specialty ,Adolescent ,Lumbar disc degeneration ,Intervertebral Disc Degeneration ,Degeneration (medical) ,03 medical and health sciences ,0302 clinical medicine ,Finnish population ,Prevalence ,Humans ,Medicine ,Orthopedics and Sports Medicine ,Lumbar intervertebral disc ,Swimming ,030222 orthopedics ,Lumbar Vertebrae ,business.industry ,Lumbar spine MRI ,Mean age ,030229 sport sciences ,Anatomy ,Magnetic Resonance Imaging ,Low back pain ,Cross-Sectional Studies ,Case-Control Studies ,Physical therapy ,Female ,Surgery ,Lumbar spine ,medicine.symptom ,business ,Low Back Pain - Abstract
The aim was to elucidate elite swimming’s possible influence on lumbar disc degeneration (DD) and low back pain (LBP). Lumbar spine MRI was performed on a group of elite swimmers and compared to a matched Finnish population-based no-sport group. One hundred elite swimmers and 96 no-sport adults, mean age 18.7/20.8, respectively, participated. Overall, the two groups had similar prevalence of DD. Swimmers had more DD in the upper lumbar spine but tended to have less DD at the lowest level. Prevalence of bulges and disc herniations were similar, but swimmers had significantly more bulges at L4–5. The swimmers reported less LBP, although not significantly (N.S.). If degenerative findings were present, the association between them and LBP was stronger in the no-sport group. Elite swimmers and controls had similar prevalence of DD and LBP, although the pattern of DD differed between the groups. In case of DD, swimmers reported less LBP, although N.S.
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- 2016
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41. Lumbar spine MRI versus non-lumbar imaging modalities in the diagnosis of sacral insufficiency fracture: a retrospective observational study
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Kim, Yoon Yi, Chung, Bo Mi, and Kim, Wan Tae
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- 2018
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42. Deep learning pipeline for automated detection and classification of central canal, lateral recess and neural foraminal stenosis on lumbar spine MRI
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Diyaa Abdul Rauf Algazwi, Naresh Kumar, Andrew Makmur, Kaiyuan Yang, Sterling Ellis Eide, Jiong Hao Tan, Yun Song Choo, Lei Zhu, Qai Ven Yap, Yee Liang Thian, Beng Chin Ooi, Yiong Huak Chan, James Thomas Patrick Decourcy, Swee T Quek, and Hiroshi Yoshioka
- Subjects
Lateral recess ,Foraminal stenosis ,business.industry ,Lumbar spine MRI ,Pipeline (computing) ,Deep learning ,Medicine ,Neurology. Diseases of the nervous system ,Artificial intelligence ,Anatomy ,RC346-429 ,business - Published
- 2021
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43. Incidental findings in the lumbar spine MRI
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Ajay Sahu and Bisher Ghazal-Aswad
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medicine.medical_specialty ,business.industry ,Lumbar spine MRI ,medicine ,Radiology, Nuclear Medicine and imaging ,General Medicine ,Radiology ,business - Published
- 2020
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44. Readability of Lumbar Spine MRI Reports: Will Patients Understand?
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Paul H. Yi, Mark A. Kliewer, John B. Harringa, and Sean K. Golden
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Adult ,medicine.medical_specialty ,media_common.quotation_subject ,education ,Reading level ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Reading (process) ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Medical physics ,Grade level ,media_common ,Lumbar Vertebrae ,business.industry ,Medical record ,Lumbar spine MRI ,General Medicine ,Magnetic Resonance Imaging ,Readability ,Medical documents ,Health Literacy ,030220 oncology & carcinogenesis ,Spinal Diseases ,business ,Comprehension ,Patient education - Abstract
Objective Radiology reports have traditionally been written for referring clinical providers. However, as patients increasingly access their radiology reports through online medical records, concerns have been raised about their ability to comprehend these complex documents. The purpose of this study was to assess the readability of lumbar spine MRI reports. Materials and methods We reviewed 110 lumbar spine MRI reports dictated by 11 fellowship-trained radiologists (eight musculoskeletal radiologists and three neuroradiologists) at a single academic medical center. We evaluated each article for readability using five quantitative readability tests: the Flesch-Kincaid Grade Level, Flesch Reading Ease, Gunning Fog Index, Coleman-Liau Index, and the Simple Measure of Gobbledygook. The number of reports with readability at or below eighth-grade level (average reading ability of U.S. adults) and at or below sixth-grade level (level recommended by the National Institutes of Health and the American Medical Association for patient education materials) were determined. Results The mean readability grade level of the lumbar spine MRI reports was greater than the 12th-grade reading level for all readability scales. Only one report was written at or below eighth-grade level; no reports were written at or below sixth-grade level. Conclusion Lumbar spine MRI reports are written at a level too high for the average patient to comprehend. As patients increasingly read their radiology reports through online portals, consideration should be made of patients' ability to read and comprehend these complex medical documents.
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- 2019
45. Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms
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Nedelcho Georgiev and Asen Asenov
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medicine.anatomical_structure ,Modalities ,Computer science ,Lumbar spine MRI ,medicine ,Automatic segmentation ,Soft tissue ,Lumbar spine ,Field of view ,Gold standard (test) ,Algorithm ,Sagittal plane - Abstract
MRI is considered the gold standard in soft tissue diagnostic of the lumbar spine. Number of protocols and modalities are used – from one hand 2D sagittal, 2D angulated axial, 2D consecutive axial and 3D image types; from the other hand different sequences and contrasts are used: T1w, T2w; fat suppression, water suppression etc. Images of different modalities are not always aligned. Resolutions and field of view also vary. SNR is also different for different MRI equipment. So the goal should be to create an algorithm that covers great variety of imaging techniques.
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- 2019
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46. Effect of Clinical Decision Support-Generated Report Cards Versus Real-Time Alerts on Primary Care Provider Guideline Adherence for Low Back Pain Outpatient Lumbar Spine MRI Orders
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Curtis P. Langlotz, Ali S. Raja, Hanna M. Zafar, Ivan K. Ip, Ramin Khorasani, and Angela M. Mills
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musculoskeletal diseases ,Male ,medicine.medical_specialty ,Clinical Decision-Making ,Primary care ,Clinical decision support system ,Feedback ,Ambulatory care ,Computer Systems ,medicine ,Ambulatory Care ,Humans ,Radiology, Nuclear Medicine and imaging ,Medical prescription ,Practice Patterns, Physicians' ,medicine.diagnostic_test ,Primary Health Care ,business.industry ,Guideline adherence ,Lumbar spine MRI ,Magnetic resonance imaging ,General Medicine ,Middle Aged ,Decision Support Systems, Clinical ,Low back pain ,Magnetic Resonance Imaging ,Spine ,Prescriptions ,Physical therapy ,Female ,Guideline Adherence ,medicine.symptom ,business ,Low Back Pain - Abstract
The purpose of this study is to determine whether the type of feedback on evidence-based guideline adherence influences adult primary care provider (PCP) lumbar spine (LS) MRI orders for low back pain (LBP).Four types of guideline adherence feedback were tested on eight tertiary health care system outpatient PCP practices: no feedback during baseline (March 1, 2012-October 4, 2012), randomization by practice to either clinical decision support (CDS)-generated report cards comparing providers to peers only or real-time CDS alerts at order entry during intervention 1 (February 6, 2013-December 31, 2013), and both feedback types for all practices during intervention 2 (January 14, 2014-June 20, 2014, and September 4, 2014-January 21, 2015). International Classification of Disease codes identified LBP visits (excluding Medicare fee-for-service). The primary outcome of the likelihood of LS MRI order being made on the day of or 1-30 days after the outpatient LBP visit was adjusted by feedback type (none, report cards only, real-time alerts only, or both); patient age, sex, race, and insurance status; and provider sex and experience.Half of PCPs (54/108) remained for all three periods, conducting 9394 of 107,938 (8.7%) outpatient LBP visits. The proportion of LBP visits increased over the course of the study (p = 0.0001). In multilevel hierarchic regression, report cards resulted in a lower likelihood of LS MRI orders made the day of and 1-30 days after the visit versus baseline: 38% (p = 0.009) and 37% (p = 0.006) for report cards alone, and 27% (p = 0.020) and 27% (p = 0.016) with alerts, respectively. Real-time alerts alone did not affect MRI orders made the day of (p = 0.585) or 1-30 days after (p = 0.650) the visit. No patient or provider variables were associated with LS MRI orders being generated on the day of or 1-30 days after the LBP visit.CDS-generated evidence-based report cards can substantially reduce outpatient PCP LS MRI orders on the day of and 1-30 days after the LBP visit. Real-time CDS alerts do not.
- Published
- 2018
47. Preoperative assessment of idiopathic scoliosis in adolescent and young adult with three-dimensional T2-weighted spin-echo MRI
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J. Decaudain, T. Duchaussoy, Laurène Norberciak, Sébastien Verclytte, M. Lacoste, Jean-François Budzik, Marrow Adiposity & Bone Lab - Adiposité Médullaire et Os - ULR 4490 (MABLab (ex-pmoi)), and Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
- Subjects
Male ,Adolescent ,[SDV]Life Sciences [q-bio] ,Idiopathic scoliosis ,Scoliosis ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Imaging, Three-Dimensional ,Multidetector computed tomography ,Preoperative Care ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Young adult ,Child ,Retrospective Studies ,Radiological and Ultrasound Technology ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Magnetic resonance imaging ,Mean age ,General Medicine ,medicine.disease ,Magnetic Resonance Imaging ,030220 oncology & carcinogenesis ,Female ,business ,Nuclear medicine ,T2 weighted ,Tomography, X-Ray Computed - Abstract
Purpose To compare tridimensional (3D) T2-weighted spin-echo MRI and CT for minimal pedicle width measurements in the preoperative assessment of adolescent idiopathic scoliosis (AIS) in adolescent and young patients. Materials and methods A total of 22 adolescents/young patients suffering from AIS were retrospectively included. There were 18 females and 4 males with a mean age of 15.3 ± 2.3 (SD) years (range: 11–21 years). Preoperative lumbar spine MRI and CT examinations of the 22 patients were reviewed by two independent readers who measured the minimal width of 259 pedicles. Inter-reader agreement for CT and MRI was assessed using intra-class correlation coefficient (ICC). Intra-reader agreement and relative differences in measurements between MRI and CT were also assessed for each reader. Results Inter-reader agreement was excellent (ICC ≥ 0.8) for both CT and MRI. Relative differences in measurements between CT and MRI was 10.3% for reader 1 and 9.4% for reader 2. Conclusion 3D T2-weighted spin-echo MRI underestimates minimal pedicle width by only 9.4 - 10.3% compared to CT. 3D T2-weighted MRI appears as a valuable alternative to CT for preoperative measurements of vertebral pedicles in AIS.
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- 2018
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48. Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network
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Paul Fergus, Dhiya Al-Jumeily, Nunik Afriliana, Friska Natalia, Ala S. Al Kafri, Hira Meidia, Ali Sophian, Sud Sudirman, Abir Hussain, Mohammad Bashtawi, Mohammed Al-Jumaily, and Wasfi Al-Rashdan
- Subjects
QA75 ,Computer science ,02 engineering and technology ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Chronic lower back pain ,Segmentation ,Artificial neural network ,Pixel ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Lumbar spinal stenosis ,Magnetic resonance imaging ,Pattern recognition ,Image segmentation ,medicine.disease ,R1 ,Stenosis ,020201 artificial intelligence & image processing ,Lumbar spine ,Artificial intelligence ,business - Abstract
This paper addresses the central problem of automatic segmentation of lumbar spine Magnetic Resonance Imaging (MRI) images to delineate boundaries between the anterior arch and posterior arch of the lumbar spine. This is necessary to efficiently detect the occurrence of lumbar spinal stenosis as a leading cause of Chronic Lower Back Pain. A patch-based classification neural network consisting of convolutional and fully connected layers is used to classify and label pixels in MRI images. The classifier is trained using overlapping patches of size 25x25 pixels taken from a set of cropped axial-view T2-weighted MRI images of the bottom three intervertebral discs. A set of experiment is conducted to measure the performance of the classification network in segmenting the images when either all or each of the discs separately is used. Using pixel accuracy, mean accuracy, mean Intersection over Union (IoU), and frequency weighted IoU as the performance metrics we have shown that our approach produces better segmentation results than eleven other pixel classifiers. Furthermore, our experiment result also indicates that our approach produces more accurate delineation of all important boundaries and making it best suited for the subsequent stage of lumbar spinal stenosis detection.
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- 2018
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49. Herniation of Cartilaginous Endplates in the Lumbar Spine: MRI Findings
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Heung Sik Kang, Eugene Lee, Kun Woo Park, Guen Young Lee, Jin S. Yeom, Eugene Joe, and Joon Woo Lee
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Adult ,Male ,Dorsum ,medicine.medical_specialty ,Spinal mri ,Disability Evaluation ,Lumbar ,Image Interpretation, Computer-Assisted ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Aged ,Pain Measurement ,Retrospective Studies ,Aged, 80 and over ,Lumbar Vertebrae ,business.industry ,Cartilage ,Lumbar spine MRI ,Modic changes ,General Medicine ,Anatomy ,Middle Aged ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Female ,Lumbar spine ,Radiology ,business ,Intervertebral Disc Displacement ,Mri findings ,Diskectomy - Abstract
The purpose of this study was to determine reliable MRI findings suggesting disk herniation with cartilage endplate herniation in the lumbar spine.The records of 73 patients who underwent lumbar spinal MRI and lumbar microdiskectomy between March 2005 and January 2009 were searched to find those with the diagnosis of disk herniation with cartilage endplate herniation confirmed during surgery. The following morphologic features were assessed: posterior corners (posterior marginal nodes, dorsal corner defects, Modic changes, and posterior osteophytes), mid endplates (endplate irregularities, Modic changes), and heterogeneous low signal intensity of extruded material. The chi-square test and multiple logistic regression analysis with age, body mass index, and sex as covariates were used for the analysis. The ROC curve was obtained with scores of the statistically significant MRI findings.Posterior marginal nodes, posterior osteophytes, Modic changes in posterior corners, mid endplate irregularities, Modic changes in mid endplates, and heterogeneous low signal intensity of extruded material were significantly more frequent in patients with disk herniation with cartilage endplate herniation (0.000p0.009). The AUC for diagnosing disk herniation with cartilage endplate herniation with our scoring system of the six MRI findings (0-6) was 0.888.The presence of disk herniation with cartilage endplate herniation could be ascertained with the following MRI findings: posterior marginal nodes, posterior osteophytes, mid endplate irregularities, heterogeneous low signal intensity of extruded material, and Modic changes in posterior corners and mid endplates.
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- 2015
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50. Modic Type 1 Changes: Detection Performance of Fat-Suppressed Fluid-Sensitive MRI Sequences
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Johann Steurer, Sebastian Winklhofer, Orpheus Kolokythas, Filippo Del Grande, Nicolae Bolog, Gustav Andreisek, Tim Finkenstaedt, Nils H. Ulrich, and Sina Tok
- Subjects
Male ,Osteoarthritis ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Mri image ,0302 clinical medicine ,McNemar's test ,Spinal Stenosis ,Bone Marrow ,medicine ,Edema ,Humans ,Radiology, Nuclear Medicine and imaging ,Spinal canal ,Aged ,Retrospective Studies ,Aged, 80 and over ,Observer Variation ,Lumbar Vertebrae ,medicine.diagnostic_test ,business.industry ,Lumbar spine MRI ,Magnetic resonance imaging ,Mean age ,Middle Aged ,medicine.disease ,Image Enhancement ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Detection performance ,Female ,Osteoarthritis, Spine ,Spinal Diseases ,Guideline Adherence ,Nuclear medicine ,business ,Low Back Pain ,030217 neurology & neurosurgery - Abstract
To assess the performance of fat-suppressed fluid-sensitive MRI sequences compared to T1-weighted (T1w) / T2w sequences for the detection of Modic 1 end-plate changes on lumbar spine MRI.Sagittal T1w, T2w, and fat-suppressed fluid-sensitive MRI images of 100 consecutive patients (consequently 500 vertebral segments; 52 female, mean age 74 ± 7.4 years; 48 male, mean age 71 ± 6.3 years) were retrospectively evaluated. We recorded the presence (yes/no) and extension (i. e., Likert-scale of height, volume, and end-plate extension) of Modic I changes in T1w/T2w sequences and compared the results to fat-suppressed fluid-sensitive sequences (McNemar/Wilcoxon-signed-rank test).Fat-suppressed fluid-sensitive sequences revealed significantly more Modic I changes compared to T1w/T2w sequences (156 vs. 93 segments, respectively; p 0.001). The extension of Modic I changes in fat-suppressed fluid-sensitive sequences was significantly larger compared to T1w/T2w sequences (height: 2.53 ± 0.82 vs. 2.27 ± 0.79, volume: 2.35 ± 0.76 vs. 2.1 ± 0.65, end-plate: 2.46 ± 0.76 vs. 2.19 ± 0.81), (p 0.05). Modic I changes that were only visible in fat-suppressed fluid-sensitive sequences but not in T1w/T2w sequences were significantly smaller compared to Modic I changes that were also visible in T1w/T2w sequences (p 0.05).In conclusion, fat-suppressed fluid-sensitive MRI sequences revealed significantly more Modic I end-plate changes and demonstrated a greater extent compared to standard T1w/T2w imaging.· When the Modic classification was defined in 1988, T2w sequences were heavily T2-weighted and thus virtually fat-suppressed.. · Nowadays, the bright fat signal in T2w images masks edema-like changes.. · The conventional definition of Modic I changes is not fully applicable anymore.. · Fat-suppressed fluid-sensitive MRI sequences revealed more/greater extent of Modic I changes..· Finkenstaedt T, Del Grande F, Bolog N et al. Modic Type 1 Changes: Detection Performance of Fat-Suppressed Fluid-Sensitive MRI Sequences. Fortschr Röntgenstr 2018; 190: 152 - 160.ZIEL: Ziel der Studie ist es, die Detektionsrate von Modic-Typ-1-Endplattenveränderungen mittels fettgesättigten, flüssigkeitssensitiven MRT-Sequenzen gegenüber Standard T1- und T2-gewichteten Sequenzen an der Lendenwirbelsäule zu vergleichen.Sagittale T1, T2 und fettgesättigte, flüssigkeitssensitive MRT-Sequenzen von 100 Patienten (gesamt 500 Wirbelsegmente; 52 weiblich, Durchschnittsalter 74 ± 7,4 Jahre; 48 männlich, Durchschnittsalter 71 ± 6,3 Jahre) wurden retrospektiv untersucht. Das Vorhandensein (ja/nein) und die Ausdehnung (Likert-skalierte Höhen-, Volumen- und anteroposteriore Endplattenausdehnung) von Modic-1-Veränderungen auf T1/T2 gegenüber fettgesättigten, flüssigkeitssensitiven MRT-Sequenzen wurden analysiert (McNemar/Wilcoxon-signed-rank test).Mittels fettgesättigter, flüssigkeitssensitiver MRT-Sequenzen konnten signifikant mehr Modic-1-Veränderungen detektiert werden als mittels T1-/T2-Sequenzen (156 vs. 93 Segmente; p 0,001). Die Ausdehnung von Modic-1-Veränderungen auf fettgesättigten, flüssigkeitssensitiven MRT-Sequenzen war signifikant größer gegenüber T1-/T2-Sequenzen (Höhe: 2,53 ± 0,82 vs. 2,27 ± 0,79, Volumen: 2,35 ± 0,76 vs. 2,1 ± 0,65, Endplattenausdehnung: 2,46 ± 0,76 vs. 2,19 ± 0,81), (p 0,05). Modic-1-Veränderungen, die nur auf fettgesättigten, flüssigkeitssensitiven Sequenzen, aber nicht auf T1-/T2-Sequenzen detektiert werden konnten, waren signifikant kleiner im Vergleich zu Modic-1-Veränderungen, die auch auf T1-/T2-Sequenzen sichtbar waren (p 0,05).Fettgesättigte, flüssigkeitssensitive Sequenzen haben nicht nur signifikant häufiger Modic-1-Veränderungen, sondern auch eine größere Ausdehnung ebendieser gegenüber Standard T1-/T2-Sequenzen nachweisen können.· Als die Modic-Klassifikation 1988 definiert wurde, waren T2-Sequenzen technisch bedingt nahezu fettgesättigt. · Fettsignal aktueller T2-Sequenzen ist deutlich heller, wodurch zusätzliches Knochenmarksödem maskiert werden kann. · Die ursprüngliche Definition von Modic-1-Veränderungen ist daher heutzutage nicht mehr zutreffend. · Fettgesättigte, flüssigkeitssensitive Sequenzen haben häufiger/größere Ausdehnung von Modic-1-Veränderungen gegenüber T1-/T2-Sequenzen nachweisen können.
- Published
- 2017
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