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Maternal obesity increases a child’s risk of neurodevelopmental impairment. However, little is known about the impact of maternal obesity on fetal brain development.We prospectively recruited 20 healthy pregnant women across the range of pre-pregnancy or first-trimester body mass index (BMI) and performed fetal brain magnetic resonance imaging (MRI) of their healthy singleton fetuses. We examined correlations between early pregnancy maternal BMI and regional brain volume of living fetuses using volumetric MRI analysis.Of 20 fetuses, there were 8 males and 12 females (median gestational age at MRI acquisition was 24.3 weeks, range: 19.7–33.3 weeks, median maternal age was 33.3 years, range: 22.0–37.4 years). There were no significant differences in clinical demographics between overweight (OW, 25≤BMI<30)/obese (OB, BMI≥30 kg/m2) (n=12) and normal BMI (18.5≤BMI<25) (n=8) groups. Fetuses in the OW/OB group had significantly larger left cortical plate (p=0.0003), right cortical plate (p=0.0002), and whole cerebellum (p=0.049) compared to the normal BMI group. In the OW/OB BMI group, cortical plate volume was larger relative to other brain regions after 28 weeks.This pilot study supports the concept that maternal obesity impacts fetal brain volume, detectable via MRI in living fetuses using quantitative analysis. [ABSTRACT FROM AUTHOR]

Objective: To compare the hippocampal volume between individuals with normal cognitive function (CN) and those with Alzheimer's disease (AD) using the European Alzheimer's Disease Consortium (EADC)-Alzheimer's Disease Neuroimaging Initiative (ADNI) Harmonized Hippocampal Protocol (HarP). Methods: This retrospective study included 84 participants (42 individuals each in the AD and CN groups) from April 30th Hospital (Ho Chi Minh City, Vietnam). The AD diagnosis adhered to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Participants underwent neuropsychological tests and whole brain magnetic resonance scans for cognitive function and hippocampal volume assessments. The AD participants were categorized into four subgroups based on the severity of their cognitive decline, determined using the Mini-Mental State Examination scores (AD1: 5=24, AD2: 20-23, AD3: 14-19, and AD4: 0-13). Qualified radiologists used HarP to measure the whole and sectional hippocampal volumes. Statistical analyses were performed to compare the hippocampal volume differences between the AD and CN groups considering disease severity, sex, and age. A multifactor regression analysis was conducted to explore the predictive factors for hippocampal volume. Results: The neuropsychological test findings (p-value < 0.001), but not demographic data (sex, education, body mass index, medical history), were significantly different among the AD subgroups. The whole (AD: 4.158 ± 0.989 cm3; CN: 5.884 ± 0.517 cm3) and sectional hippocampal volumes were significantly different between the AD and CN groups (p -value < 0.0001). Specifically, the whole and sectional hippocampal volumes were significantly different between the AD2 subgroup and CN group (p -value < 0.05). Besides, multifactor regression analysis showed a minimal impact of the demographic factors on the whole hippocampal volume. Conclusion: Our study highlights the association between AD and reduced hippocampal volume, emphasizing its significance in the disease's pathology. Our data support the effectiveness of the HarP in measuring hippocampal volume. [ABSTRACT FROM AUTHOR]

Background: Intracranial neoplasm, often referred to as a brain tumor, is an abnormal growth or mass of tissues in the brain. The complexity of the brain and the associated diagnostic delays cause significant stress for patients. This study aims to enhance the efficiency of MRI analysis for brain tumors using deep transfer learning. Methods: We developed and evaluated the performance of five pre-trained deep learning models—ResNet50, Xception, EfficientNetV2-S, ResNet152V2, and VGG16—using a publicly available MRI scan dataset to classify images as glioma, meningioma, pituitary, or no tumor. Various classification metrics were used for evaluation. Results: Our findings indicate that these models can improve the accuracy of MRI analysis for brain tumor classification, with the Xception model achieving the highest performance with a test F1 score of 0.9817, followed by EfficientNetV2-S with a test F1 score of 0.9629. Conclusions: Implementing pre-trained deep learning models can enhance MRI accuracy for detecting brain tumors. [ABSTRACT FROM AUTHOR]

Abstract Background Orthodontic and surgical technical advances in recent years have resulted in treatment opportunities for a whole range of craniofacial skeletal disorders either in the adolescent or adult patient. In the growing child, these can include myofunctional orthodontic appliance therapy or distraction osteogenesis procedures, while in the adult, the mainstay approach revolves around orthognathic surgery. The literature agrees that for a change in craniofacial morphology to remain stable, the muscles acting upon the facial skeleton must be capable of adaptation in their structure and, therefore, their function. Failure of the muscles to adapt to the change in their length or orientation will place undesirable forces on the muscle attachments leading to potential instability of the skeleton. Adaptation can occur through various processes including those within the neuromuscular feedback mechanism, through changes within muscle structure or through altered muscle physiology, and through changes at the muscle/bone interface. It is now accepted that because there is no single method of assessing masticatory function, several measures should be taken, and whenever possible, simultaneously. Methods This investigation was designed to apply several, newly developed and more sophisticated methods of measuring muscle structure and function to a situation where adaptation of muscle is pivotal to the success of a therapeutic approach. Patients attending the combined orthodontic/orthognathic surgery clinic at the Clitrofa – Centro Médico, Dentário e Cirúrgico, in Trofa, Portugal, were screened. Ten patients scheduled for a bimaxillary osteotomy involving a combination of maxillary Le Fort I impaction procedure coupled with a sagittal split advancement of the mandible were selected to form the study group. The patients have MRI of the masseter muscle to evaluate the masseter muscle volume and fibre orientation changes. This exam was taken before surgery (T0), 6 to 12 months after surgery (T1), and 3 years after surgery (T2), by two independent observers, according to the protocol jointly developed between the Eastman Dental Institute – University of London and the MRI Centre - Department of Radiology at John Radcliffe Hospital – University of Oxford. Results Significant differences (p

Previous studies indicate an implication of the terminal complement complex (TCC) in disc degeneration (DD). To investigate the functional role of TCC in trauma-induced DD in vivo, the model of endplate (EP) drilling was first applied in rabbits using a C6-deficient rabbit strain in which no TCC formation was possible. In parallel the model of needle puncture was investigated. Using a minimally invasive surgical intervention, lumbar rabbit intervertebral discs (IVDs) were treated with EP drilling or needle puncture. Degenerative effects of both surgical interventions were assessed by Pfirrmann grading and T2 quantification of the IVDs based on high-resolution MRI (11.7 T), as well as radiographic determination of disc height index. Pfirrmann grading indicated significant degenerative effects after EP drilling. Contrary to our assumption, no evidence was found that the absence of TCC formation in C6-deficient rabbits reduces the development of DD compared to C6-sufficient animals. EP drilling was proven to be suitable for application in rabbits. However, results of the present study do not provide clear evidence of a central functional role of TCC within DD and suggest that TCC deposition in DD patients may be primarily considered as a marker of complement activation during DD progression. [ABSTRACT FROM AUTHOR]

Background: Orthodontic and surgical technical advances in recent years have resulted in treatment opportunities for a whole range of craniofacial skeletal disorders either in the adolescent or adult patient. In the growing child, these can include myofunctional orthodontic appliance therapy or distraction osteogenesis procedures, while in the adult, the mainstay approach revolves around orthognathic surgery. The literature agrees that for a change in craniofacial morphology to remain stable, the muscles acting upon the facial skeleton must be capable of adaptation in their structure and, therefore, their function. Failure of the muscles to adapt to the change in their length or orientation will place undesirable forces on the muscle attachments leading to potential instability of the skeleton. Adaptation can occur through various processes including those within the neuromuscular feedback mechanism, through changes within muscle structure or through altered muscle physiology, and through changes at the muscle/bone interface. It is now accepted that because there is no single method of assessing masticatory function, several measures should be taken, and whenever possible, simultaneously. Methods: This investigation was designed to apply several, newly developed and more sophisticated methods of measuring muscle structure and function to a situation where adaptation of muscle is pivotal to the success of a therapeutic approach. Patients attending the combined orthodontic/orthognathic surgery clinic at the Clitrofa – Centro Médico, Dentário e Cirúrgico, in Trofa, Portugal, were screened. Ten patients scheduled for a bimaxillary osteotomy involving a combination of maxillary Le Fort I impaction procedure coupled with a sagittal split advancement of the mandible were selected to form the study group. The patients have MRI of the masseter muscle to evaluate the masseter muscle volume and fibre orientation changes. This exam was taken before surgery (T0), 6 to 12 months after surgery (T1), and 3 years after surgery (T2), by two independent observers, according to the protocol jointly developed between the Eastman Dental Institute – University of London and the MRI Centre - Department of Radiology at John Radcliffe Hospital – University of Oxford. Results: Significant differences (p < 0.05) have been identified between Time 0 (pre-op) and Time 1 (6–12 months post-op) regarding the masseter area (mm2). The differences against Time 0 (pre-op) seem to disappear at Time 2 (3 years post-op). Conclusions: MRI therefore seems to be a valid tool for measuring differences in the masseter muscle area and volume associated with high-severity occlusal deformities, although showing not to be as efficient in detecting the same differences in cases of low-severity occlusal deformities. [ABSTRACT FROM AUTHOR]

Objective/background: To assess whether cerebral structural alterations in isolated rapid eye movement sleep behavior disorder (iRBD) are progressive and differ from those of normal aging and whether they are related to clinical symptoms. Patients/methods: In a longitudinal study of 18 patients with iRBD (age, 66.1 ± 5.7 years; 13 males; follow-up, 1.6 ± 0.6 years) and 24 age-matched healthy controls (age, 67.0 ± 4.9 years; 12 males; follow-up, 2.0 ± 0.9 years), all participants underwent multiple extensive clinical examinations, neuropsychological tests, and magnetic resonance imaging at baseline and follow-up. Surface-based cortical reconstruction and automated subcortical structural segmentation were performed on T1-weighted images. We used mixed-effects models to examine the differences between the groups and the differences in anatomical changes over time. Results: None of the patients with iRBD demonstrated phenoconversion during the follow-up. Patients with iRBD had thinner cortices in the frontal, occipital, and temporal regions, and more caudate atrophy, compared to that in controls. In similar regions, group-by-age interaction analysis revealed that patients with iRBD demonstrated significantly slower decreases in cortical thickness and caudate volume with aging than that observed in controls. Patients with iRBD had lower scores on the Korean version of the Mini-Mental Status Examination (p = 0.037) and frontal and executive functions (p = 0.049) at baseline than those in controls; however, no significant group-by-age interaction was identified. Conclusion: Patients with iRBD show brain atrophy in the regions that are overlapped with the areas that have been documented to be affected in early stages of Parkinson's disease. Such atrophy in iRBD may not be progressive but may be slower than that in normal aging. Cognitive impairment in iRBD is not progressive. [ABSTRACT FROM AUTHOR]

This study is a post-hoc examination of baseline MRI data from a clinical trial investigating the efficacy of repetitive transcranial magnetic stimulation (rTMS) as a treatment for patients with mild–moderate Alzheimer's disease (AD). Herein, we investigated whether the analysis of baseline MRI data could predict the response of patients to rTMS treatment. Whole-brain T1-weighted MRI scans of 75 participants collected at baseline were analyzed. The analyses were run on the gray matter (GM) and white matter (WM) of the left and right dorsolateral prefrontal cortex (DLPFC), as that was the rTMS application site. The primary outcome measure was the Alzheimer's disease assessment scale—cognitive subscale (ADAS-Cog). The response to treatment was determined based on ADAS-Cog scores and secondary outcome measures. The analysis of covariance showed that responders to active treatment had a significantly lower baseline GM volume in the right DLPFC and a higher GM asymmetry index in the DLPFC region compared to those in non-responders. Logistic regression with a repeated five-fold cross-validated analysis using the MRI-driven features of the initial 75 participants provided a mean accuracy of 0.69 and an area under the receiver operating characteristic curve of 0.74 for separating responders and non-responders. The results suggest that GM volume or asymmetry in the target area of active rTMS treatment (DLPFC region in this study) may be a weak predictor of rTMS treatment efficacy. These results need more data to draw more robust conclusions. [ABSTRACT FROM AUTHOR]

Objective/backgroundTo assess whether cerebral structural alterations in isolated rapid eye movement sleep behavior disorder (iRBD) are progressive and differ from those of normal aging and whether they are related to clinical symptoms.Patients/methodsIn a longitudinal study of 18 patients with iRBD (age, 66.1 ± 5.7 years; 13 males; follow-up, 1.6 ± 0.6 years) and 24 age-matched healthy controls (age, 67.0 ± 4.9 years; 12 males; follow-up, 2.0 ± 0.9 years), all participants underwent multiple extensive clinical examinations, neuropsychological tests, and magnetic resonance imaging at baseline and follow-up. Surface-based cortical reconstruction and automated subcortical structural segmentation were performed on T1-weighted images. We used mixed-effects models to examine the differences between the groups and the differences in anatomical changes over time.ResultsNone of the patients with iRBD demonstrated phenoconversion during the follow-up. Patients with iRBD had thinner cortices in the frontal, occipital, and temporal regions, and more caudate atrophy, compared to that in controls. In similar regions, group-by-age interaction analysis revealed that patients with iRBD demonstrated significantly slower decreases in cortical thickness and caudate volume with aging than that observed in controls. Patients with iRBD had lower scores on the Korean version of the Mini-Mental Status Examination (p = 0.037) and frontal and executive functions (p = 0.049) at baseline than those in controls; however, no significant group-by-age interaction was identified.ConclusionPatients with iRBD show brain atrophy in the regions that are overlapped with the areas that have been documented to be affected in early stages of Parkinson’s disease. Such atrophy in iRBD may not be progressive but may be slower than that in normal aging. Cognitive impairment in iRBD is not progressive.

Background: The human brain is a remarkably intricate organ, and comprehensive knowledge of its anatomy is paramount for various medical and scientific endeavors. Magnetic Resonance Imaging (MRI) has emerged as a potent tool for investigating brain structure. This study sets out to present a thorough examination of human brain anatomy. Methodology: In this research endeavor, we meticulously collected high-resolution MRI scans from a diverse cohort of 300 individuals. Our methodology encompassed advanced image processing techniques, allowing us to precisely segment and scrutinize an array of brain regions. This diverse sample size was chosen to ensure robust representation and to account for potential variations related to age, gender, and other demographic factors. Results: Through a comprehensive cross-sectional MRI analysis of the human brain in a sample of 300 participants, we have gained profound insights into its structural intricacies. Our study unveiled variations in brain size and morphology across age groups and genders, as showcased in Tables 2 and 3. Notably, Table 1 highlighted specific gender-related differences in various brain regions. These findings, such as the subtle differences in gray and white matter volumes, subcortical structures, and the regional variations, contribute significantly to our understanding of brain development and aging. Moreover, these insights hold potential implications for clinical diagnoses, neuroimaging research, and treatment planning, emphasizing the value of this research in the broader context of brain anatomy and its correlates. Conclusion: This cross-sectional MRI analysis provides an all-encompassing portrayal of human brain anatomy, elucidating essential structural nuances. These findings bear significance in unraveling the intricacies of brain development, aging, and interindividual variations. Moreover, this research has immediate practical implications in guiding clinical diagnosis and treatment strategies, particularly within the fields of neurology and psychiatry. [ABSTRACT FROM AUTHOR]

Previous studies indicate an implication of the terminal complement complex (TCC) in disc degeneration (DD). To investigate the functional role of TCC in trauma-induced DD in vivo, the model of endplate (EP) drilling was first applied in rabbits using a C6-deficient rabbit strain in which no TCC formation was possible. In parallel the model of needle puncture was investigated. Using a minimally invasive surgical intervention, lumbar rabbit intervertebral discs (IVDs) were treated with EP drilling or needle puncture. Degenerative effects of both surgical interventions were assessed by Pfirrmann grading and T2 quantification of the IVDs based on high-resolution MRI (11.7 T), as well as radiographic determination of disc height index. Pfirrmann grading indicated significant degenerative effects after EP drilling. Contrary to our assumption, no evidence was found that the absence of TCC formation in C6-deficient rabbits reduces the development of DD compared to C6-sufficient animals. EP drilling was proven to be suitable for application in rabbits. However, results of the present study do not provide clear evidence of a central functional role of TCC within DD and suggest that TCC deposition in DD patients may be primarily considered as a marker of complement activation during DD progression.

Magnetic Resonance Imaging (MRI) plays a pivotal role in non-invasively diagnosing knee injuries. This research focuses on cost-effective, efficient solutions for enhancing automated knee injury detection in MRI scans. The study aims to boost diagnostic accuracy for abnormalities, Anterior Cruciate Ligament (ACL) tears, and meniscal tears using advanced deep learning techniques. Transfer learning is employed, combining pretrained neural networks with transfer models. AlexNet and SqueezeNet are explored as feature extraction architectures, assessing the attention mechanism and max-pooling for sequence reduction. This yields four models, MRNet, MRNet-Squeeze, MRNet-Attend, and MRNet-Squeeze Attend. The primary evaluation metric is the Area Under the ROC Curve (AUC), providing a comprehensive assessment by averaging AUC scores for abnormal, ACL tear, and meniscus tear labels. The initial MRNet achieves the highest AUC (0.940) for anomaly detection, while MRNet-Squeeze excels in diagnosing ACL damage. MRNet-SqueezeAttend achieves the highest AUC (0.885) for meniscus tears. The ensemble of all four models outperforms individual models with an outstanding average AUC of 0.931. Each model exhibits unique strengths. MRNet excels at spotting anomalies, MRNet-Squeeze accurately detects ACL tears, and MRNet-SqueezeAttend excels in identifying meniscal tears. Notably, the ensemble leverages these diverse strengths to deliver cutting-edge results for all injury types. Further investigation reveals varying correlations between model-specific predictions and different diagnosis or sequence combinations. Scrutinizing the MRI sequence frames capturing the models' attention identifies key contributors to the diagnosis. [ABSTRACT FROM AUTHOR]

Hydrogen sulfide (H2S) is a gaseous molecule found naturally in the environment, and as an industrial byproduct, and is known to cause acute death and induces long-term neurological disorders following acute high dose exposures. Currently, there is no drug approved for treatment of acute H2S-induced neurotoxicity and/or neurological sequelae. Lack of a deep understanding of pathogenesis of H2S-induced neurotoxicity has delayed the development of appropriate therapeutic drugs that target H2S-induced neuropathology. RNA sequencing analysis was performed to elucidate the cellular and molecular mechanisms of H2S-induced neurodegeneration, and to identify key molecular elements and pathways that contribute to H2S-induced neurotoxicity. C57BL/6J mice were exposed by whole body inhalation to 700 ppm of H2S for either one day, two consecutive days or 4 consecutive days. Magnetic resonance imaging (MRI) scan analyses showed H2S exposure induced lesions in the inferior colliculus (IC) and thalamus (TH). This mechanistic study focused on the IC. RNA Sequencing analysis revealed that mice exposed once, twice, or 4 times had 283, 193 and 296 differentially expressed genes (DEG), respectively (q-value < 0.05, fold-change> 1.5). Hydrogen sulfide exposure modulated multiple biological pathways including unfolded protein response, neurotransmitters, oxidative stress, hypoxia, calcium signaling, and inflammatory response in the IC. Hydrogen sulfide exposure activated PI3K/Akt and MAPK signaling pathways. Pro-inflammatory cytokines were shown to be potential initiators of the modulated signaling pathways following H2S exposure. Furthermore, microglia were shown to release IL-18 and astrocytes released both IL-1β and IL-18 in response to H2S. This transcriptomic analysis data revealed complex signaling pathways involved in H2S-induced neurotoxicity and may provide important associated mechanistic insights.

Bariah Mohd-Ali,1 Yu Chen Low,1 Mizhanim Mohamad Shahimin,1 Norlaili Arif,1 Hamzaini Abdul Hamid,2 Wan Haslina Wan Abdul Halim,3 Siti Salasiah Mokri,4 Aqilah Baseri Huddin,4 Norhani Mohidin5 1Optometry and Vision Science Program, Research Centre for Community Health, Faculty of Health Science, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; 2Department of Radiology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; 3Department of Ophthalmology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; 4Department of Electrical, Electronics and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia; 5Optometry Centre, Faculty of Health Science, Universiti Teknologi Mara, Kuala Lumpur, MalaysiaCorrespondence: Bariah Mohd-Ali, Optometry and Vision Science Program & Research Centre for Community Health (REACH), Faculty of Health Science, Universiti Kebangsaan Malaysia, Kuala Lumpur, 50300, Malaysia, Tel +6019-3296835, Email bariah@ukm.edu.myPurpose: Eyeball shape varies with refraction and body stature. Nevertheless, there are few reports on three-dimensional measurements of eyeball shape in children. The aim of this cross-sectional observational study was to investigate the associations between three-dimensional measurements of ocular dimensions, refractive error, and body stature in young Chinese children with myopia in Kuala Lumpur.Materials and Methods: Thirty-five female and 35 male school children aged 8– 9 years old were recruited in this study. Cycloplegic spherical equivalent (SE) and visual acuity (VA) were determined using a logarithm of the minimum angle of resolution (logMAR) chart. Body mass index (BMI), body height, and head circumference were ascertained. Three ocular dimensions, that is, longitudinal axial length (LAL), horizontal width (HW), and vertical height (VH), were determined using magnetic resonance imaging (MRI).Results: There were significant differences among the ocular dimensions in the myopic children. Bonferroni-corrected pairwise t-tests showed that LAL was significantly longer (mean difference, 0.318 mm) than VH, which was in turn significantly longer (mean difference, 0.245 mm) than HW. Body height was significantly correlated with LAL (p < 0.001) and SE (p < 0.001), and multivariate linear regression confirmed that longer LAL and more myopic SE were associated with increased body height (p < 0.001 for both) but not BMI (p = 0.894 and p = 0.413) or head circumference (p = 0.305 and p = 0.226).Conclusion: This study confirms previous reports that changes in ocular dimensions are associated with body height in young children. Axial elongation (forming a prolate profile) occurs in myopic children of both genders at a young age.Keywords: height, BMI, ocular shape, MRI analysis, axial length

In multiple sclerosis (MS), the transition from relapsing-remitting to the secondary-progressive phase is characterized by a progression independent of relapse activity (PIRA), resulting in physical disability accumulation and invisible symptoms, i.e., fatigue and cognitive impairment (CI). These symptoms are related to neurodegenerative processes and have been correlated with MRI measures of brain atrophy only at a group level; however, the application in clinical practice of atrophy-based measurements for single-patient evaluation is yet to be fully investigated. In the present study, we aimed to evaluate the association between brain atrophy, measured with easy-to-use automatic software, and the "invisible" MS symptoms of cognition and fatigue. A total of 69 MS patients were included in the study; cognitive impairment and fatigue (FSS) (in addition to neurological disability, EDSS) were assessed and correlated with brain volumes calculated using the automated software QyScore® which is validated for single-patient use in the clinical setting. Results showed that the cognitive status was accurately reflected by measures of atrophy, with a sensitivity of up to 90%. CI patients showed a lower volume compared to cognitively normal patients in the whole brain (p = 0.017), gray matter (p = 0.042), insula (p = 0.035), cerebellum (p = 0.008), and limbic lobe (p = 0.049). FSS was associated with temporal lobe (r = −0.37, p = 0.013) and insular (r = −0.36, p = 0.019) volumes. The volumes of the same regions were also associated with EDSS. The global/regional atrophy results, assessed with automatic and easy-to-use software, correlated with cognitive and fatigue symptoms, thus supporting the clinical application in routine patient management. [ABSTRACT FROM AUTHOR]

Background: This study aimed to develop an automated algorithm to noninvasively distinguish gliomas from other intracranial pathologies, preventing misdiagnosis and ensuring accurate analysis before further glioma assessment., Methods: A cohort of 1280 patients with a variety of intracranial pathologies was included. It comprised 218 gliomas (mean age 54.76 ± 13.74 years; 136 males, 82 females), 514 patients with brain metastases (mean age 59.28 ± 12.36 years; 228 males, 286 females), 366 patients with inflammatory lesions (mean age 41.94 ± 14.57 years; 142 males, 224 females), 99 intracerebral hemorrhages (mean age 62.68 ± 16.64 years; 56 males, 43 females), and 83 meningiomas (mean age 63.99 ± 13.31 years; 25 males, 58 females). Radiomic features were extracted from fluid-attenuated inversion recovery (FLAIR), contrast-enhanced, and noncontrast T1-weighted MR sequences. Subcohorts, with 80% for training and 20% for testing, were established for model validation. Machine learning models, primarily XGBoost, were trained to distinguish gliomas from other pathologies., Results: The study demonstrated promising results in distinguishing gliomas from various intracranial pathologies. The best-performing model consistently achieved high area-under-the-curve (AUC) values, indicating strong discriminatory power across multiple distinctions, including gliomas versus metastases (AUC = 0.96), gliomas versus inflammatory lesions (AUC = 1.0), gliomas versus intracerebral hemorrhages (AUC = 0.99), gliomas versus meningiomas (AUC = 0.98). Additionally, across all these entities, gliomas had an AUC of 0.94., Conclusions: The study presents an automated approach that effectively distinguishes gliomas from common intracranial pathologies. This can serve as a quality control upstream to further artificial-intelligence-based genetic analysis of cerebral gliomas., Competing Interests: The authors declare no potential conflicts of interest., (© The Author(s) 2025. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Multi–parametric prostate MRI (mpMRI) is a powerful tool to diagnose prostate cancer, though difficult to interpret even for experienced radiologists. A common radiological procedure is to compare a magnetic resonance image with similarly diagnosed cases. To assist the radiological image interpretation process, computerized Content–Based Image Retrieval systems (CBIRs) can therefore be employed to improve the reporting workflow and increase its accuracy. In this article, we propose a new, supervised siamese deep learning architecture able to handle multi–modal and multi–view MR images with similar PIRADS score. An experimental comparison with well–established deep learning–based CBIRs (namely standard siamese networks and autoencoders) showed significantly improved performance with respect to both diagnostic (ROC–AUC), and information retrieval metrics (Precision–Recall, Discounted Cumulative Gain and Mean Average Precision). Finally, the new proposed multi–view siamese network is general in design, facilitating a broad use in diagnostic medical imaging retrieval. [ABSTRACT FROM AUTHOR]

The purposes of this study were to determine whether acromial morphology (1) could be measured accurately on magnetic resonance images (MRIs) as compared to computed tomographs (CTs) as a gold standard, (2) could be measured reliably on MRIs, (3) differed between patients with rotator cuff tears (RCTs) and those without evidence of RCTs or glenohumeral osteoarthritis, and (4) differed between patients with rotator cuff repairs (RCRs) that healed and those that did not. This is a retrospective comparative study. We measured coronal, axial, and sagittal acromial tilt; acromial width, acromial anterior and posterior coverage, and glenoid version and inclination on MRI corrected into the plane of the glenoid. We determined accuracy by comparison with CT via intraclass correlation coefficients (ICCs). To determine reliability, these same measurements were made on MRI by 2 observers and ICCs calculated. We compared these measurements between patients with a full-thickness RCT and patients aged >50 years without evidence of an RCT or glenohumeral osteoarthritis. We then compared these measurements between those patients with healed RCRs and those with a retorn rotator cuff on MRI. In this portion, we only included patients with both a preoperative MRI and a postoperative MRI at least 1 year from RCR. Only those patients without tendon defects on postoperative MRIs were considered to be healed. In these patients, we also radiographically measured the critical shoulder angle. In a validation cohort of 30 patients with MRI and CT, all ICCs were greater than 0.86. In these patients, the inter-rater ICCs of the MRI measurements were >0.53. In our RCT group of 110 patients, there was greater acromial width [mean difference (95% confidence interval) = 0.1 (0, 0.2) mm, P =.012] and significantly less sagittal acromial tilt [9° (5°-12°), P <.001] than in our comparison group of 107 patients. A total of 110 RCRs were included. Postoperative MRI scans were obtained at a mean follow-up of 24.2 ± 15.8 months, showing 84 patients (76%) had healed RCRs. Aside from acromial width, which was 0.2 mm different and thus did not have clinical significance, there was no association between healing and any of the measured morphologic characteristics. Patients with healed repairs had significantly smaller tears in terms of both width (P <.001) and retraction (P <.001). Although the acromion is wider in RCTs, the difference of 0.1 mm likely has no clinical significance. The acromion is more steeply sloped from posteroinferior to anterosuperior in those with RCTs. These findings call into question subacromial impingement due to native acromial morphology as a cause of rotator cuff tearing. Acromial morphology, critical shoulder angle, and glenoid inclination were not associated with healing after RCR. This study does not support lateral acromioplasty. [ABSTRACT FROM AUTHOR]

Background: To ascertain whether volumetric measurements to characterize lesion size in osteonecrosis of the femoral head using magnetic resonance imaging (MRI) and 3D software are more precise than other previously described methods.Methods: Twenty-four patients were included in the study. Two musculoskeletal radiologists independently analyzed radiographs and MRIs using the methods described by Kerboul et al [9], Koo and Kim [10], and Cherian et al [11]. Volumetric measurements were calculated from the MRIs using 3D imaging software. Inter-rater reliability was calculated for all 4 methods using the interclass correlation coefficient (ICC). Levene's test was used to compare the variance across methods, serving as a measure of precision of each method.Results: An ICC value of 0.81 was calculated for the volumetric measurements. The ICC values of the Kerboul et al, Koo and Kim, and Cherian et al methods were 0.94, 0.61, and 0.49, respectively. Levene's test for homogeneity of variance using absolute deviations showed the variance was not equal across methods (P < .01). The variance and the corresponding 95% confidence interval were calculated showing that the variance for the volumetric measurements was the smallest among the 4 methods examined, indicating that the volumetric measurements are more precise in characterizing lesion size as compared to the other methods.Conclusion: Volumetric measurements of lesion size using 3D MRI imaging software to assess osteonecrosis of the femoral head are more precise than previously described methods and have excellent interobserver reliability. A 3D MRI assessment of volume of osteonecrosis in the femoral head may be useful in clinical decision-making. [ABSTRACT FROM AUTHOR]

Abstract The muscular dystrophies are made up of a diverse group of rare genetic diseases characterized by progressive loss of muscle strength and muscle damage. Since there is no cure for muscular dystrophy and clinical outcome measures are limited, it is critical to assess the progression of MD objectively. Imaging muscle replacement by fibrofatty tissue has been shown to be a robust biomarker to monitor disease progression in DMD. In magnetic resonance imaging (MRI) data, specific texture patterns are found to correlate to certain MD subtypes and thus present a potential way for automatic assessment. In this paper, we first apply state-of-the-art convolutional neural networks (CNNs) to perform accurate MD image classification and then propose an effective visualization method to highlight the important image textures. With a dystrophic MRI dataset, we found that the best CNN model delivers an 91.7% classification accuracy, which significantly outperforms non-deep learning methods, e.g., > 40% improvement has been found over the traditional mean fat fraction (MFF) criterion for DMD and CMD classification. After investigating every single neuron at the top layer of CNN model, we found the superior classification ability of CNN can be explained by its 91 and 118 neurons were performing better than the MFF criterion under the measurements of Euclidean and Chi-square distance, respectively. In order to further interpret CNNs predictions, we tested an improved class activation mapping (ICAM) method to visualize the important regions in the MRI images. With this ICAM, CNNs are able to locate the most discriminative texture patterns of DMD in soleus, lateral gastrocnemius, and medial gastrocnemius; for CMD, the critical texture patterns are highlighted in soleus, tibialis posterior, and peroneus. [ABSTRACT FROM AUTHOR]

This study investigates the use of fractal algorithms to analyse MRI of meat products, specifically loin, in order to determine sensory parameters of loin. For that, the capability of different fractal algorithms was evaluated (Classical Fractal Algorithm, CFA; Fractal Texture Algorithm, FTA and One Point Fractal Texture Algorithm, OPFTA). Moreover, the influence of the acquisition sequence of MRI (Gradient echo, GE; Spin Echo, SE and Turbo 3D, T3D) and the predictive technique of data mining (Isotonic regression, IR and Multiple Linear regression, MLR) on the accuracy of the prediction was analysed. Results on this study firstly demonstrate the capability of fractal algorithms to analyse MRI from meat product. Different combinations of the analysed techniques can be applied for predicting most sensory attributes of loins adequately (R > 0.5). However, the combination of SE, OPFTA and MLR offered the most appropriate results. Thus, it could be proposed as an alternative to the traditional food technology methods. [ABSTRACT FROM AUTHOR]

A personalized thermal environment is an effective way to ensure a good thermal sensation for individuals. Since local thermal sensation and temperature distribution are affected by individual physiological differences, it is necessary to study the effects of physiological parameters. The purpose of this study was to investigate the effects of internal structures and tissue composition on head temperature distribution and thermal sensation. A new mathematical model based on fuzzy logic control was established, the internal structure and tissue composition of the head were obtained by magnetic resonance imaging (MRI), and the local thermal sensation (LTS) index was used to evaluate the thermal sensation. Based on the mathematical model and the real physiological data, the head temperature and local sensation changes under different parameters were investigated, and the sensitivity of thermal sensation relative to the differences in tissue thickness was analyzed. The results show that skin tissue had the highest influence ( C s k i n = 0.0180 ) on head temperature, followed by muscle tissue ( C m u s c l e = 0.0127 ), and the influence of adipose tissue ( C f a t = 0.0097 ) was the lowest. LTS was most sensitive to skin thickness variation, with an average sensitivity coefficient of 1.58, while the muscle tissue had an average sensitivity coefficient of 0.2, and the sensitivity coefficient of fat was relatively small, at a value of 0.04.

Introduction: Trans arterial embolization (TAE) can stem uncontrolled bleeding associated with pelvic fractures, but is associated with potential complications. This study investigated and compared the early to midterm complications in two patient cohorts: one who did and one who did not undergo TAE.Methodology: The results of 14 patients who underwent TAE in the resuscitation phase, and then had their pelvic fractures managed non-operatively, the study group (Group 1), were compared with those of a control group (Group 2) of 14 patients matched for age, sex, injury and management, that did not undergo TAE. All patients were examined clinically and answered a questionnaire on bowel and urinary function, pain and limp. Gluteus medius structure and volume were assessed on MRI. The hip girdle muscle function was assessed using a hand held dynamometer, surface electromyography as well as quantitative gait analysis.Results: Seven patients in Group 1 (50%), but none in Group 2, had persistent urological dysfunctions, in the absence of any recognized previous pathology or urologic trauma at the time of injury. No gluteal muscle demonstrated fibrosis or fatty infiltration. The median gluteal muscle volume was not significantly decreased compared with the uninjured side in either group (P=0.421). The muscle strengths of gluteus maximus, gluteus medius, tensor fasciae latae and iliopsoas when compared to the uninjured side were significantly less in Group 1 compared to Group 2. However, no patient had a discernable limp and gait analysis showed no significant differences between the left and right sides in the study and control groups in the gluteal activation timing (p=0.171 and 0.354) and duration (p=0.622 and 0.435). There were no skin complications, and no patient reported any persistent bowel dysfunction.Conclusion: TAE was associated with a high rate of persistent urological dysfunction. TAE could lead to decreased hip muscles strength, however this does not seem to affect gait. [ABSTRACT FROM AUTHOR]

The objective of this work is to automatically produce radiological gradings of spinal lumbar MRIs and also localize the predicted pathologies. We show that this can be achieved via a Convolutional Neural Network (CNN) framework that takes intervertebral disc volumes as inputs and is trained only on disc-specific class labels. Our contributions are: (i) a CNN architecture that predicts multiple gradings at once, and we propose variants of the architecture including using 3D convolutions; (ii) showing that this architecture can be trained using a multi-task loss function without requiring segmentation level annotation; and (iii) a localization method that clearly shows pathological regions in the disc volumes. We compare three visualization methods for the localization. The network is applied to a large corpus of MRI T2 sagittal spinal MRIs (using a standard clinical scan protocol) acquired from multiple machines, and is used to automatically compute disk and vertebra gradings for each MRI. These are: Pfirrmann grading, disc narrowing, upper/lower endplate defects, upper/lower marrow changes, spondylolisthesis, and central canal stenosis. We report near human performances across the eight gradings, and also visualize the evidence for these gradings localized on the original scans. [ABSTRACT FROM AUTHOR]

Purpose The main cause of diplopia induced by orbital floor fracture is strangulation or damage of the extraocular muscles, and the outcome varies depending on the severity of trauma. In this study, we evaluated the dynamics of the eyeball and inferior rectus muscle based on cine magnetic resonance (MR) images acquired before surgery. The preoperative images and outcomes were retrospectively investigated. Material and methods The subjects were 20 patients with orbital floor fracture. The patients repeated upgaze and downgaze, and images of these were acquired using cine mode magnetic resonance imaging (MRI). Image series were obtained in the sagittal direction including the eyeball and long axis of the optic nerve. The eyeball rotation angle, strangulation, and morphology of the inferior rectus muscle were evaluated in each phase. Results On cine mode MRI, the outcome was poor in cases with a maximal inferior rectus muscle thickness of 5 mm or greater on extension (two or more times thicker than on the healthy side). Conclusions Our results suggest that the development of sequelae can be predicted by preoperative image analysis using cine MRI, which may be beneficial to help surgeons understand the mechanism of contracture. [ABSTRACT FROM AUTHOR]

Background Rapidly destructive arthrosis of the humeral head is a rare condition with an elusive pathophysiologic mechanism. In this study, radiographic and histopathologic findings were analyzed to determine the clinical characteristics of this rare condition. Methods We retrospectively analyzed 189 patients who underwent total shoulder arthroplasty from January 2001 to August 2012. Among them, 9 patients showed a particular pattern of rapid collapse of the humeral head on plain radiography and magnetic resonance imaging (MRI) within 12 months from symptom onset. Patients with trauma, rheumatoid arthritis, steroid intake, neurologic osteoarthropathy, osteonecrosis, renal osteoarthropathy, or gout were excluded. Results All patients were women, with a mean age of 72.0 years (range, 63-85 years). The right side was involved in 7 cases and the left in 2 cases. The mean duration of humeral head collapse was 5.6 months (range, 2-11 months) from the onset of shoulder pain. Plain radiographs of all patients showed a unique pattern of humeral head flattening, which appeared like a clean surgical cut with bone debris around the humeral head. MRI findings revealed significant joint effusion and bone marrow edema in the humeral head, without involvement of the glenoid. Pathologic findings showed both fragmentation and regeneration of bone matrix, representing fracture healing. Conclusion The important features of rapidly destructive shoulder arthrosis are unique flattened humeral head collapse with MRI showing massive joint effusion and bone marrow edema in the remnant humeral head. This condition should be considered in the differential diagnosis of elderly women with insidious shoulder pain. [ABSTRACT FROM AUTHOR]

In this work we present a Grid‐based optimization approach performed on a set of parameters that affects both the geometric and grey‐level appearance properties of a three‐dimensional model‐based algorithm for cardiac MRI segmentation. The search for optimal values was assessed by a Monte Carlo procedure using computational Grid technology. A series of segmentation runs were conducted on an evaluation database comprising 30 studies at two phases of the cardiac cycle (60 datasets), using three shape models constructed by different methods. For each of these model‐patient combinations, six parameters were optimized in two steps: those which affect the grey‐level properties of the algorithm first and those relating to the geometrical properties, secondly. Two post‐processing tasks (one for each stage) collected and processed (in total) more than 70000 retrieved result files. Qualitative and quantitative validation of the fitting results indicates that the segmentation performance was greatly improved with the tuning. Based on the experienced benefits with the use of our middleware, and foreseeing the advent of large‐scale tests and applications in cardiovascular imaging, we strongly believe that the use of Grid computing technology in medical image analysis constitutes a real necessity. [ABSTRACT FROM AUTHOR]

Abstract: Background context: Serial analysis of gene expression during the course of intervertebral disc degeneration (IDD) could elucidate valuable insight into pathophysiology and provide a basis for identification of potential targets for the development of novel cellular- and gene-based therapies. However, very few previous studies described the changes in gene expression through the process of IDD using a suitable animal model. Purpose: To use a recently developed rabbit annular stab model and the technique of real-time reverse transcriptase–polymerase chain reaction (RT-PCR) to quantify the change in expression of key rabbit-specific mRNA sequences encoding for selected extracellular matrix (ECM) products, catabolic, anabolic, and anti-catabolic factors in normal and stabbed discs. Study design: Gene expression analyses were performed to characterize a slowly progressive and reproducible animal model of IDD using real-time RT-PCR. Methods: Twelve rabbits underwent an annular stab with a 16-guage needle to the L2–L3, L3–L4, and L4–L5 discs, and three rabbits served as sham controls. Nucleus pulposus tissues were harvested from the stabbed discs at 3, 6, 12 and 24 weeks after confirmation of degenerative changes by magnetic resonance imaging (MRI) scan. Real-time RT-PCR was performed with the use of rabbit-specific primers for 1) extracellular matrix (ECM) component genes: collagen type Ia and IIa, and aggrecan; 2) catabolic genes: matrix metalloprotease-3 (MMP-3), inducible nitric oxide synthase (iNOS), and interleukin-1β (IL-1β); 3) anabolic growth genes: bone morphogenic protein-2, and -7 (BMP-2, -7), transforming growth factor-β1 (TGF-β1), and insulin-like growth factor-1 (IGF-1); and 4) anti-catabolic gene: tissue inhibitor of metalloprotease-1 (TIMP-1). These data were normalized to mRNA levels of glyceraldehyde phosphate dehydrogenase (GAPDH), a constitutively expressed gene. Results: The MRI images confirmed progressive decline in the nucleus pulposus area of high T2 signal and in the signal intensity of the stabbed discs over the 24-week study period consistent with IDD. The ECM components, aggrecan and collagen type IIa mRNA levels had decreased markedly by week 3 and never recovered, whereas type Ia collagen mRNA gradually increased throughout course of degeneration. BMP-2, BMP-7 and IGF-1 mRNA were relatively decreased from weeks 3 to 6 but then increased at weeks 12 and 24 to end at a level near the preoperative level. The TIMP-1 expression fell dramatically to approximately one tenth of the preoperative level by week 3 and remained low throughout the degenerative process. The remaining results, including those from TGF-β1 and the catabolic genes (MMP-3, IL-1β, iNOS) demonstrated a double peak characteristic. The gene expression increased by week 3, decreased to a low level at weeks 6 and 12 and then had a second, late peak at 24 weeks. Conclusions: The gene expression profiles of ECM components and anabolic, catabolic, and anti-catabolic factors demonstrate many characteristics similar to the findings in human disc degeneration and suggest an inability of the intervertebral disc (IVD) to mount an early anabolic response to injury, thereby offering a possible explanation for the disc''s lack of reparative capabilities. Catabolic genes are strongly up-regulated both early and late in degeneration, lending strong support to the hypothesis that an anabolic or catabolic imbalance plays a primary role in IDD. According to the resultant patterns, augmenting early production of BMP-2, BMP-7, IGF-1 or TIMP-1 by gene transfer techniques might possibly alter the progressive course of degeneration as seen in the stab model. The next step will be to transfer these therapeutic genes to regulate the biologic processes and ideally alter the progressive course of disc degeneration. [Copyright &y& Elsevier]

SUMMARY: Introduction: This study aimed to investigate by MRI examination the degree of deviation of the cartilaginous septum in relation to cleft size in patients with cleft lip, alveolus and palate. Material and methods: Six children with cleft lip, alveolus and palate at age 5–20 days were examined with a 1.0 Tesla scanner using a head coil. The following parameters were evaluated: maximal cleft size (millimeter) and degree of the nasal septum deviation from the median-sagittal plane (degrees). Results: Two children with bilateral clefts had no deviation; 3 children with unilateral (left-sided) cleft had a deviation to the right and 1 patient with a unilateral right-sided cleft a deviation to the left side. In all 4 patients, the degree of the nasal septum deviation increased with cleft size. Conclusion: Cartilaginous nasal septum deviation was noticed only in patients with unilateral cleft lip and palate toward the non-cleft side and was greater with increasing cleft sizes. [Copyright &y& Elsevier]

Background: The purpose of this study was to determine whether greater tuberosity morphology (1) could be measured reliably on magnetic resonance imaging (MRI), (2) differed between patients with rotator cuff tears (RCTs) compared with those without tears or glenohumeral osteoarthritis, or (3) differed between patients with rotator cuff repairs (RCR) who healed and those that did not., Methods: This is a retrospective comparative study. (1) We measured greater tuberosity width (coronal and sagittal), lateral offset, and angle on MRI corrected into the plane of the humerus. To determine reliability, these measurements were made by two observers and intraclass correlation coefficients were calculated. (2) We compared these measurements between patients with a full-thickness RCT and patients aged >50 years without evidence of a RCT or glenohumeral osteoarthritis. (3) We then compared these measurements between those patients with healed RCRs and those with evidence of retear on MRI. In this portion, we only included patients with both a preoperative and postoperative MRI at least 1 year from RCR. Postoperative MRIs were obtained to assess healing rates, not because of concern for failure. Those without tendon defects were considered healed., Results: (1) In a validation cohort of 50 patients with MRI, all inter-rater intraclass correlation coefficients were greater than 0.75. (2) There were no differences between our RCT group of 110 patients and our comparison group of 100 patients in tuberosity coronal width, sagittal width, or lateral offset. The RCT group had a significantly smaller greater tuberosity angle (63 ± 4° vs 65 ± 5°, P  = .003). (3) In our group of 110 RCRs, postoperative MRI scans were obtained at a mean follow-up of 23.6 ± 15.7 months showing 84 (76%) patients had healed RCRs. Larger coronal tuberosity width was associated with healing (1.3 ± 0.2 vs 1.2 ± 0.2 cm, P  = .032), as was smaller tear width ( P  < .001), and retraction ( P  < .001). When coronal width was dichotomized, there was a significantly higher healing rate with a width over 1.2 cm (85 vs 66%, P  = .02). No other greater tuberosity morphological characteristics were associated with RCR or postoperative healing., Conclusion: RCTs do not appear to be associated with greater tuberosity morphology. Postoperative rotator cuff healing based on MRI is 76%. Higher rates of healing occur with a wider coronal tuberosity width (ie, rotator cuff tendon footprint). Consideration could be given to widening the footprint intraoperatively in an effort to improve healing rates although this remains to be validated., (© 2021 The Authors.)

Aims: Dual plating of distal femoral fractures with medial and lateral implants has been performed to improve construct mechanics and alignment, in cases where isolated lateral plating would be insufficient. This may potentially compromise vascularity, paradoxically impairing healing. This study investigates effects of single versus dual plating on distal femoral vascularity., Methods: A total of eight cadaveric lower limb pairs were arbitrarily assigned to either 1) isolated lateral plating, or 2) lateral and medial plating of the distal femur, with four specimens per group. Contralateral limbs served as matched controls. Pre- and post-contrast MRI was performed to quantify signal intensity enhancement in the distal femur. Further evaluation of intraosseous vascularity was done with barium sulphate infusion with CT scan imaging. Specimens were then injected with latex medium and dissection was completed to assess extraosseous vasculature., Results: Quantitative MRI revealed a mean reduction of 21.2% (SD 1.3%) of arterial contribution in the lateral plating group and 25.4% (SD 3.2%) in the dual plating group (p = 0.051); representing a mean decrease in arterial contribution of 4.2%. The only significant difference found between both experimental groups was regionally, at the lateral aspect of the distal femur with a mean drop in arterial contribution in the lateral plating group of 18.9% (SD 2.6%) versus 24.0% (SD 3.2%) in the dual plating group (p = 0.048), representing a mean decrease in arterial contribution of 5.1%. Gross dissection revealed complete destruction of periosteal vessels underneath either medial or lateral plates in both groups. The network of genicular branches contributing to the posterior and distal femoral condyles was preserved in all specimens. A medial vascular pedicle was found dividing from the superficial femoral artery at a mean 12.7 cm (SD 1.7) proximal to the medial epicondyle and was undisrupted in the dual plating group., Conclusion: Lateral locking-plate application resulted in mean 21.2% reduction in distal femur vascularity. Addition of medial plates did not further markedly decrease vascularity. As such, the majority of the vascular insult occurred with lateral plating alone. Supplemental medially based fixation did not lead to marked devascularization of the distal femur, and should therefore be considered in the setting of comminution and poor bone stock in distal femoral fractures. Further clinical research is required to confirm the results of this study. Cite this article: Bone Joint J 2020;102-B(4):530-538.

A personalized thermal environment is an effective way to ensure a good thermal sensation for individuals. Since local thermal sensation and temperature distribution are affected by individual physiological differences, it is necessary to study the effects of physiological parameters. The purpose of this study was to investigate the effects of internal structures and tissue composition on head temperature distribution and thermal sensation. A new mathematical model based on fuzzy logic control was established, the internal structure and tissue composition of the head were obtained by magnetic resonance imaging (MRI), and the local thermal sensation (LTS) index was used to evaluate the thermal sensation. Based on the mathematical model and the real physiological data, the head temperature and local sensation changes under different parameters were investigated, and the sensitivity of thermal sensation relative to the differences in tissue thickness was analyzed. The results show that skin tissue had the highest influence ( C s k i n = 0.0180 ) on head temperature, followed by muscle tissue ( C m u s c l e = 0.0127 ), and the influence of adipose tissue ( C f a t = 0.0097 ) was the lowest. LTS was most sensitive to skin thickness variation, with an average sensitivity coefficient of 1.58, while the muscle tissue had an average sensitivity coefficient of 0.2, and the sensitivity coefficient of fat was relatively small, at a value of 0.04. [ABSTRACT FROM AUTHOR]

Chronic stress can impair the health of human brains. An important strategy that may prevent the accumulation of stress may be the consumption of functional foods. When senescence-accelerated mice prone 10 (SAMP10), a stress-sensitive strain, were loaded with stress using imposed male mouse territoriality, brain volume decreased. However, in mice that ingested theanine (6 mg/kg), the main amino acid in tea leaves, brain atrophy was suppressed, even under stress. On the other hand, brain atrophy was not clearly observed in a mouse strain that aged normally (Slc:ddY). The expression level of the transcription factor Npas4 (neuronal PAS domain protein 4), which regulates the formation and maintenance of inhibitory synapses in response to excitatory synaptic activity, decreased in the hippocampus and prefrontal cortex of stressed SAMP10 mice, but increased in mice that ingested theanine. Lipocalin 2 (Lcn2), the expression of which increased in response to stress, was significantly high in the hippocampus and prefrontal cortex of stressed SAMP10 mice, but not in mice that ingested theanine. These data suggest that Npas4 and Lcn2 are involved in the brain atrophy and stress vulnerability of SAMP10 mice, which are prevented by the consumption of theanine, causing changes in the expression of these genes. [ABSTRACT FROM AUTHOR]

Background & Aims Polycystic liver disease (PLD), the most common extrarenal manifestation of autosomal-dominant polycystic kidney disease (ADPKD), has become more prevalent as a result of increased life expectancy, improved renal survival, reduced cardiovascular mortality, and renal replacement therapy. No studies have fully characterized PLD in large cohorts. We investigated whether liver and cyst volumes are associated with volume of the hepatic parenchyma, results from liver laboratory tests, and patient-reported outcomes. Methods We performed a cross-sectional analysis of baseline liver volumes, measured by magnetic resonance imaging, and their association with demographics, results from liver laboratory and other tests, and quality of life. The data were collected from a randomized, placebo-controlled trial underway at 7 tertiary-care medical centers to determine whether the combination of an angiotensin I–converting enzyme inhibitor and angiotensin II–receptor blocker was superior to the inhibitor alone, and whether low blood pressure (<110/75 mm Hg) was superior to standard blood pressure (120–130/70–80 mm Hg), in delaying renal cystic progression in 558 patients with ADPKD, stages 1 and 2 chronic kidney disease, and hypertension (age, 15–49 y). Results We found hepatomegaly to be common among patients with ADPKD. Cysts and parenchyma contributed to hepatomegaly. Cysts were more common and liver and cyst volumes were greater in women, increasing with age. Patients with advanced disease had a relative loss of liver parenchyma. We observed small abnormalities in results from liver laboratory tests, and that splenomegaly and hypersplenism were associated with PLD severity. Higher liver volumes were associated with a lower quality of life. Conclusions Hepatomegaly is common even in early stage ADPKD and is not accounted for by cysts alone. Parenchymal volumes were larger, compared with liver volumes of patients without ADPKD or with those predicted by standardized equations, even among patients without cysts. The severity of PLD was associated with altered biochemical and hematologic features, as well as quality of life. ClinicalTrials.gov identifier: NCT00283686 . [ABSTRACT FROM AUTHOR]