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Background: Three‐dimensional gradient‐echo (3D‐GRE) sequences provide isotropic or nearly isotropic 3D images, leading to better visualization of smaller structures, compared to two‐dimensional (2D) sequences. The aim of this study was to prospectively compare 2D and 3D‐GRE sequences in terms of key imaging metrics, including signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), glenohumeral joint space, image quality, artifacts, and acquisition time in shoulder joint images, using 1.5‐T MRI scanner. Methods: Thirty‐five normal volunteers with no history of shoulder disorders prospectively underwent a shoulder MRI examination with conventional 2D sequences, including T1‐ and T2‐weighted fast spin echo (T1/T2w FSE) as well as proton density‐weighted FSE with fat saturation (PD‐FS) followed by 3D‐GRE sequences including VIBE, TRUEFISP, DESS, and MEDIC techniques. Two independent reviewers assessed all images of the shoulder joints. Pearson correlation coefficient and intra‐RR were used for reliability test. Results: Among 3D‐GRE sequences, TRUEFISP showed significantly the best CNR between cartilage‐bone (31.37 ± 2.57, p < 0.05) and cartilage‐muscle (13.51 ± 1.14, p < 0.05). TRUEFISP also showed the highest SNR for cartilage (41.65 ± 2.19, p < 0.01) and muscle (26.71 ± 0.79, p < 0.05). Furthermore, 3D‐GRE sequences showed significantly higher image quality, compared to 2D sequences (p < 0.001). Moreover, the acquisition time of the 3D‐GRE sequences was considerably shorter than the total acquisition time of PD‐FS sequences in three orientations (p < 0.01). Conclusions: 3D‐GRE sequences provide superior image quality and efficiency for evaluating articular joints, particularly in shoulder imaging. The TRUEFISP technique offers the best contrast and signal quality, making it a valuable tool in clinical practice. [ABSTRACT FROM AUTHOR]

In this paper, we examine the methodological possibilities of working with personal textile objects, such as clothes in need of mending, beloved personal blankets, and knotted rag dolls. Our focus is on a transdisciplinary project that sought to collectively explore how the bodies of professionals working for the Colombian Transitional Justice System are affected when engaging with narratives of war and conflict. We contend that textile making in this context serves a dual methodological purpose when facilitating spaces of careful research. Firstly, this material practice enables participants to pause and immerse themselves in their own experiences, something that in turn is generative of personal reflections. Secondly, the created objects become appreciation devices capable of documenting and eliciting memories that continually engage participants and researchers in new inquiries. Consequently, this paper contributes to the understanding of object-oriented methodologies as inherently relational and situated. Moreover, it aims to comprehend textile making practices as capable of unfolding care as a research practice. [ABSTRACT FROM AUTHOR]

Objective: Understanding neural mechanisms underlying cognitive workload is crucial for advancing our knowledge of human cognition and mental processes. In this study, we utilized electroencephalography (EEG) analysis to investigate brain activity associated with varying mental cognitive workloads from a psychological perspective. Method: We employed a publicly accessible EEG dataset consisting of a cohort of 36 healthy volunteers (75% female), aged 18 to 26 years, while the participants were at rest or engaged in an arithmetic task to explore mental cognitive workload. After preprocessing to reduce noise and various artifacts and to obtain a clean signal for every subject, functional connectivity and complexity features were calculated from EEGs through the coherence and permutation entropy algorithms, respectively. Then, repeated measures analysis of variance (ANOVA) was conducted to assess the differences in complexity and connectivity measures across various brain regions between the rest and task states. Results: Brain sites showed significant within-subject effects, and the interaction between states and channels was significant for connectivity values (F = 3.68, P = 0.034). Post hoc comparisons indicated that FP1-F7, FP1-F8 and FP1- Fz connectivity were significantly lower during the task state compared to the rest state (P < 0.05). Moreover, F4-P3, F4- P4, FP1-O1, FP2-O2, F3-O1, F4-O1, F8-O1, C4-O1, F3-O2, F4-O2, F7-O2, F8-O2, Fz-O1, Fz-O2, Cz-O1 and Fz-P4 connectivity were significantly higher during the arithmetic task state (P < 0.05). Furthermore, brain sites showed significant within-subject effects and the interaction between states and channels was significant for entropy values (F = 3.50, P = 0.041). Post hoc comparisons indicated that the permutation entropy was significantly higher in the FP1, T3, T4, P4 and Pz channels during the arithmetic task compared to the rest state (P < 0.05). Conclusion: During arithmetic tasks, the increased connectivity in the frontoparietal and frontooccipital networks and heightened complexity in the prefrontal, temporal and parietal lobes reflect the collaborative engagement of brain areas specialized in numerical processing, attention, working memory, cognitive control, and visual-spatial cognition. These changes in connectivity and complexity facilitate the integration of multiple cognitive processes essential for effective arithmetic problem-solving. [ABSTRACT FROM AUTHOR]

This paper describes name-related literacy practices in a multilingual preschool classroom and their implications for emergent biliteracy. We draw on a translingual framework to understand children's name-writing activities and how bilingual children's early literacy interacts with, and at times disrupts, the written conventions of named languages. Drawing on fieldnotes, observations, and artifacts from a preschool classroom serving Spanish-English bilingual children, we examined how children and teachers used names as resources for early literacy learning. We found that names are (potential) gateways to letter-sound relationships across languages, that names teach that some features of writing are shared across languages and some are different, and finally that names differ from other kinds of words children encounter across languages. We discuss what those instances prompt us to (re)consider about name-related teaching and emergent biliteracy. [ABSTRACT FROM AUTHOR]

The presence of facial jewelry and medical devices within a radiographic field of view may promote the formation of artifacts that challenge diagnostic interpretation. The objective of this article is to describe a previously unreported radiographic anomaly produced by an oral piercing site below the lower lip. This unusual artifact masqueraded as a severe resorptive defect, dental caries, or cervical abfraction and occurred following removal of an extremely large labret below the lower lip and subsequent acquisition of a radiographic image. The radiolucency was ultimately attributed to an extensive aperture below the lower lip created by a series of sequentially larger soft tissue expanders. Clinicians should seek correlation of atypical radiographic presentations with soft tissue defects secondary to injury or intentional oral piercing. [ABSTRACT FROM AUTHOR]

The use of Prostate Imaging Reporting and Data System (PI-RADS) with multiparametric magnetic resonance imaging (MRI) has significantly improved the detection of clinically significant prostate cancer (csPCa), but there are certain challenges that the reader may face. This review provides an overview of the pitfalls associated with the PI-RADS system for multiparametric prostate MRI (mpMRI), with suggestions/pearls to help overcome these pitfalls. PI-RADS assessment is hindered by several causes of false positives (FPs) and false negatives (FNs). In addition, there is wide variability in the positive predictive value (PPV) of the PI-RADS system across different centers, highlighting the need for improvement. While the negative predictive value (NPV) for csPCa is generally high, variations exist. This review discusses the pitfalls contributing to FNs, including MRI artifacts, such as susceptibility and motion artifacts. Techniques to optimize image acquisition, such as switching the phase encoding direction and reducing bowel peristalsis, are suggested to mitigate these artifacts. Improper b -value selection for diffusion-weighted imaging (DWI) is another pitfall, emphasizing the importance of using high b -values (≥1,400 s/mm 2) to optimize neoplasm detection. Similarly, optimizing window settings to visualize csPCa, correctly positioning the endorectal coil, awareness of rare variants like mucinous adenocarcinoma and cribriform adenocarcinoma, and distinguishing central zone tumors from normal central zone are discussed. This article highlights the common pitfalls causing FPs, such as benign pathologies like prostatitis, granulomatous prostatitis, prostatic abscess, stromal BPH nodules, extruded BPH nodules, and prostatic calcifications. It also discusses the pitfalls related to normal anatomical structures, including the central zone, anterior fibromuscular stroma, thickened surgical capsule, neurovascular bundle, and periprostatic venous plexus. Techniques for carefully evaluating these entities' morphology and distribution of signal abnormalities are described to avoid overdiagnosing these as PCa. The article also addresses the pitfalls related to postintervention changes, including postbiopsy hemorrhage and artifacts caused by the UroLift procedure, while providing recommendations for managing these challenges. Finally, the pitfalls that may be encountered during staging, including evaluation for extraprostatic extension, and pelvic nodal and osseous metastases, are highlighted. [ABSTRACT FROM AUTHOR]

Background: Magnetic resonance imaging (MRI) has become an important diagnostic tool for paediatric patients. The association between dental restorations and MRI artefacts/distortions, however, is unclear. Aim: To investigate the association between dental restorations and artefacts in head MRI in children. Design: This retrospective analysis included patients who underwent head MRI and dental examination at Ramathibodi Hospital from January 2015 to March 2021. From dental records and dental radiographs, a dentist reviewed the amount and type of restorative materials used. Two radiologists examined the MRI scans in five sequences for the presence of distortions and quantified the magnitude and grading of any artefacts. Results: Ninety‐four patients aged 3–15 years were included. Twenty‐four patients who received preformed metal crowns (PMCs) had MRI distortions. Subjects with no restorations or with tooth‐coloured material or amalgam restorations or both did not exhibit distortions. The number of PMCs was related to the size of an artefact. Almost all distortions were confined to the oral cavity and maxillary sinus and did not affect the diagnostic brain area. Conclusion: Among the commonly used dental restorative materials for children, only PMCs were associated with artefacts on head MRI scans. [ABSTRACT FROM AUTHOR]

Myocardial perfusion imaging (MPI) with single photon emission computed tomography is an established non-invasive technique for assessing myocardial ischemia. This method involves the intravenous administration of a radiopharmaceutical that accumulates in the heart muscle proportional to regional blood flow. However, image quality and diagnostic accuracy can be compromised by various technical and patient-related factors, including high non-specific radiopharmaceutical uptake in abdominal organs such as the stomach, intestines, liver, and gall-bladder, leading to subdiaphragmatic artifacts. These artifacts are particularly problematic for evaluating inferior wall perfusion and often necessitate repeated imaging, which decreases gamma camera availability and prolongs imaging times. Despite numerous investigated techniques to reduce interfering gastrointestinal activity, results have been inconsistent, and current MPI guidelines provide scant information on effective procedures to mitigate this issue. Based on our experience, some possible approaches to reducing artifacts include choosing stress testing with an exercise stress test, when possible, late imaging, fluid intake, and consuming carbonated water immediately before imaging. [ABSTRACT FROM AUTHOR]

Background: Whole-body magnetic resonance imaging (WB-MRI) has shown its accuracy in the diagnosis of skeletal metastases in patients with known primary solid cancers. The standard protocol was a combination of T1 and short tau inversion recovery (STIR) sequences. Herein, this study was conducted to elucidate the role of the T2-Dixon sequence as a rapid alternative to the standard protocol with the assessment of its diagnostic accuracy and comparability to the established methodology. Methods: This prospective study included 30 patients with primary solid malignancies who underwent WB-MRI. The sequences obtained were T1WI, STIR, and T2-Dixon (fat-only and water-only images). Skeletal metastases were evaluated in each sequence. Results were compared between the T1-STIR combination and T2-Dixon fat and water reconstructions. Results: The sensitivity of fat and water reconstructions from a single T2-Dixon in the detection of lytic skeletal metastases was marginally superior to a combination of T1WI and STIR sequences (0–7%). Detection of mixed lesions demonstrated equally high sensitivity in both protocols. Sclerotic metastases detection in WB-MRI showed low sensitivity in both protocols. However, specificity surpassed 95% for all lesion types in both protocols. Overall image quality was favored (in 87–90% of patients) in T2-Dixon images. The overall estimated acquisition timing using T2-Dixon appeared to be approximately half that of the standard T1-STIR combination. Conclusions: WB-MRI using T2-Dixon fat and water reconstructions showed similar accuracy to T1WI and STIR combination in the evaluation of skeletal metastases in patients with primary solid cancers with significantly shorter acquisition time. [ABSTRACT FROM AUTHOR]

Low-dose computed tomography (LDCT) has been widely used in medical diagnosis. In practice, doctors often zoom in on LDCT slices for clearer lesions and issues, while, a simple zooming operation fails to suppress low-dose artifacts, leading to distorted details. Therefore, numerous LDCT super-resolution (SR) methods have been proposed to promote the quality of zooming without the increase of the dose in CT scanning. However, there are still some drawbacks that need to be addressed in existing methods. First, the region of interest (ROI) is not emphasized due to the lack of guidance in the reconstruction process. Second, the convolutional blocks extracting fix-resolution features fail to concentrate on the essential multi-scale features. Third, a single SR head cannot suppress the residual artifacts. To address these issues, we propose an LDCT CT joint SR and denoising reconstruction network. Our proposed network consists of global dual-guidance attention fusion modules (GDAFMs) and multi-scale anastomosis blocks (MABs). The GDAFM directs the network to focus on ROI by fusing the extra mask guidance and average CT image guidance, while the MAB introduces hierarchical features through anastomosis connections to leverage multi-scale features and promote the feature representation ability. To suppress radial residual artifacts, we optimize our network using the feedback feature distillation mechanism (FFDM) which shares the backbone to learn features corresponding to the denoising task. We apply the proposed method to the 3D-IRCADB and PANCREAS datasets to evaluate its ability on LDCT image SR reconstruction. The experimental results compared with state-of-the-art methods illustrate the superiority of our approach with respect to peak signal-to-noise (PSNR), structural similarity (SSIM), and qualitative observations. Our proposed LDCT joint SR and denoising reconstruction network has been extensively evaluated through ablation, quantitative, and qualitative experiments. The results demonstrate that our method can recover noise-free and detail-sharp images, resulting in better reconstruction results. Code is available at https://github.com/neu-szy/ldct_sr_dn_w_ffdm. [ABSTRACT FROM AUTHOR]

Coronary computed tomography angiography (CCTA) is an essential part of the diagnosis of chronic coronary syndrome (CCS) in patients with low-to-intermediate pre-test probability. The minimum technical requirement is 64-row multidetector CT (64-MDCT), which is still frequently used, although it is prone to motion artifacts because of its limited temporal resolution and z-coverage. In this study, we evaluate the potential of a deep-learning-based motion correction algorithm (MCA) to eliminate these motion artifacts. 124 64-MDCT-acquired CCTA examinations with at least minor motion artifacts were included. Images were reconstructed using a conventional reconstruction algorithm (CA) and a MCA. Image quality (IQ), according to a 5-point Likert score, was evaluated per-segment, per-artery, and per-patient and was correlated with potentially disturbing factors (heart rate (HR), intra-cycle HR changes, BMI, age, and sex). Comparison was done by Wilcoxon-Signed-Rank test, and correlation by Spearman's Rho. Per-patient, insufficient IQ decreased by 5.26%, and sufficient IQ increased by 9.66% with MCA. Per-artery, insufficient IQ of the right coronary artery (RCA) decreased by 18.18%, and sufficient IQ increased by 27.27%. Per-segment, insufficient IQ in segments 1 and 2 decreased by 11.51% and 24.78%, respectively, and sufficient IQ increased by 10.62% and 18.58%, respectively. Total artifacts per-artery decreased in the RCA from 3.11 ± 1.65 to 2.26 ± 1.52. HR dependence of RCA IQ decreased to intermediate correlation in images with MCA reconstruction. The applied MCA improves the IQ of 64-MDCT-acquired images and reduces the influence of HR on IQ, increasing 64-MDCT validity in the diagnosis of CCS. [ABSTRACT FROM AUTHOR]

The left ventricle segmentation (LVS) is crucial to the assessment of cardiac function. Globally, cardiovascular disease accounts for the majority of deaths, posing a significant health threat. In recent years, LVS has gained important attention due to its ability to measure vital parameters such as myocardial mass, end-diastolic volume, and ejection fraction. Medical professionals realize that manually segmenting data to evaluate these processes takes a lot of time, effort when diagnosing heart diseases. Yet, manually segmenting these images is labour-intensive and may reduce diagnostic accuracy.This paper, propose a combination of different deep neural networks for semantic segmentation of the left ventricle based on Tri-Convolutional Networks (Tri-ConvNets) to obtain highly accurate segmentation. CMRI images are initially pre-processed to remove noise artefacts and enhance image quality, then ROI-based extraction is done in three stages to accurately identify the LV. The extracted features are given as input to three different deep learning structures for segmenting the LV in an efficient way. The contour edges are processed in the standard ConvNet, the contour points are processed using Fully ConvNet and finally the noise free images are converted into patches to perform pixel-wise operations in ConvNets. The proposed Tri-ConvNets model achieves the Jaccard indices of 0.9491 ± 0.0188 for the sunny brook dataset and 0.9497 ± 0.0237 for the York dataset, and the dice index of 0.9419 ± 0.0178 for the ACDC dataset and 0.9414 ± 0.0247 for LVSC dataset respectively. The experimental results also reveal that the proposed Tri-ConvNets model is faster and requires minimal resources compared to state-of-the-art models. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify and quantify artifacts produced by commonly used dental restorative materials in both standard and high-resolution cone beam computed tomographic imaging. In this in vitro study, 25 different dental materials were placed in holes (3 mm in diameter x 2 mm thick) prepared in the center of 10 x 10-mm polymethyl methacrylate plates. The specimens, along with a control plate prepared with an unfilled hole, were scanned at standard and high resolutions. The gray values (GVs) of the specimens were measured at 1-, 2-, 4-, and 8-mm distances from the material surfaces, and in 8 different directions, resulting in 32 measurements per specimen. The absolute value of the difference (AGV) between the GV of each measurement point on the specimen disc and the GV of the corresponding point on the control disc was considered to be the number of artifacts at that point. The median AGV of each material was calculated, and the materials were then ranked in terms of artifact formation using the Kruskal-Wallis test. At standard resolution, the greatest numbers of artifacts were caused by AH 26 root canal sealer and Heraenium S nickel-chromium alloy, and the fewest were caused by Whitepost DC #3 glass fiber post and ChemFil Superior glass ionomer cement. At high resolution, the greatest numbers of artifacts were found in amalgam (admix; SDI) and Heraenium S, and the fewest in Whitepost DC and GC Initial enamel porcelain. The median AGV values at standard and high resolutions were 46.0 and 57.0, respectively. High and standard resolutions were significantly different in terms of artifact formation (P = 0.001; Wilcoxon test). AH 26 sealer was the only material that demonstrated a statistically significant reduction in artifact formation at high resolution compared with standard resolution (P = 0.05; Wilcoxon test). The number of artifacts produced by dental materials at both resolutions decreased with an increasing distance from the surface of the material. [ABSTRACT FROM AUTHOR]

Artifacts and foreign bodies can mimic microcalcifications. We report a series of 17 postsurgical women in whom mammograms showed fine linear radiodensities at the surgical bed. Vacuum-assisted biopsy histopathology of one of the lesions showed foreign bodies of different sizes with macrophage reaction. After discussion with the surgeons, we ascertained that a particular type of gauze was used that had fragmented, and we reproduced the mammographic appearance in a chicken breast. Furthermore, we showed the same pathology was reproduced in mice implanted with the gauze threads. It is important to be aware of this entity to avoid unnecessary examinations and even biopsy. The presence of foreign body linear gauze fragments at the surgical site can pose challenges in the mammographic follow-up of these patients. [ABSTRACT FROM AUTHOR]

Traumatic peripheral nerve injuries (PNI), present with symptoms ranging from pain to loss of motor and sensory function. Difficulties in intraoperative visual assessment of nerve functional status necessitate intraoperative nerve conduction studies (INCSs) by neurosurgeons and neurologists to determine the presence of functioning axons in the zone of a PNI. This process, also referred to as nerve "inching", uses a set of stimulating and recording electrode hooks to lift the injured nerve from the surrounding surgical field and to determine whether an electrical stimulus can travel through the zone of injury. However, confounding electrical signal artifacts can arise from the current workflow and electrode design, particularly from the mandatory lifting of the nerve, complicating the definitive assessment of nerve function and neurosurgical treatment decision-making. The objective of this study is to describe the design process and verification testing of our group's newly designed stimulating and recording electrodes that do not require the lifting or displacement of the injured nerve during INCSs. Ergonomic in vivo analysis of the device within a porcine model demonstrated successful intraoperative manipulation of the device, while quantitative nerve action potential (NAP) signal analysis with an ex vivo simulated "inching" procedure on healthy non-human primate nerve tissue demonstrated excellent reproducible recorded NAP fidelity and the absence of NAP signal artifacts at all points of recording. Lastly, electrode pullout force testing determined maximum forces of 0.43 N, 1.57 N, and 3.61 N required to remove the device from 2 mm, 5 mm, and 1 cm nerve models, respectively, which are well within established thresholds for nerve safety. These results suggest that these new electrodes can safely and successfully perform accurate PNI assessment without the presence of artifacts, with the potential to improve the INCS standard of care while remaining compatible with currently used neurosurgical technology, infrastructure, and clinical workflows. [ABSTRACT FROM AUTHOR]

Purpose: People with aphasia have been shown to experience higher rates of depression and mental health issues than stroke survivors without aphasia. Narrative-based counseling approaches to therapy in communication disorders have shown promise in several areas, such as stuttering. Little is known regarding how these approaches can be implemented with individuals with aphasia. This study sought to uncover what therapeutic processes could be utilized to overcome barriers to utilizing this approach with people with aphasia. Method: A qualitative case study design was utilized. The primary data source included audio-recorded intervention sessions of a narrative-based counseling approach. Secondary data sources included reflection journals produced by the clinician and artifacts created by the client, including letter written as a part of the therapeutic process and other documents co-constructed by the clinician and client that detailed the client's journey. Data were analyzed inductively, in which transcripts were coded by the researchers and compared across the data set until patterns were apparent in the data that were later defined as themes. Results: Analysis of data suggests that adapting narrative counseling techniques for success with people with aphasia consists of allowing adequate time for client response, building a therapeutic alliance, reiteration and saturation of solution-focused language and narratives, and maintaining a topic of conversation centered around aphasia. Conclusion: This study argues for further consideration of how narrative-based counseling techniques can be adapted and flexibly used in aphasia intervention. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the influence of the milliamperage and artifact reduction (AR) tool on the diagnosis of buccal and lingual peri-implant dehiscences related to titanium-zirconia (Ti-Zr) and zirconia (Zr) implants using CBCT images. Materials and Methods: Ti-Zr and Zr implants were alternately inserted in 20 sites in the posterior region of three human mandibles that presented intact cortical (control) bones or simulated buccal and/or lingual peri-implant dehiscences. CBCT images were acquired with an OP300 Maxio unit, varied milliamperage (5 and 8 mA), and the use of AR tool. Three oral radiologists assessed the presence of dehiscences using a 5-point scale. The area under the receiver operator characteristic curve (Az), sensitivity, and specificity of each group (control and dehiscence) were obtained and compared using multiway ANOVA (α = .05). Results: The milliamperage and the AR tool did not influence the diagnosis of dehiscences, and there were no differences between the buccal and lingual cortices (P > .05). However, Zr implants showed a higher sensitivity (0.67 to 0.89) and lower specificity (0.26 to 0.44) than Ti-Zr implants (0.19 to 0.44 and 0.93 to 1.00, respectively; P < .05). Az values did not differ between the implant types (P > .05). Conclusions: Dehiscences were more detectable when related to Zr implants, while the absence of dehiscences was more correctly visualized adjacent to Ti-Zr implants. The use of varied milliamperages and the AR tool did not affect the diagnosis of peri-implant dehiscences, regardless of the involved cortical (buccal or lingual) bones. [ABSTRACT FROM AUTHOR]

Background: Musculoskeletal cone-beam computed tomography (CBCT) is an imaging technique for wrist assessment. In this study, we compared image quality and patient satisfaction between CBCT and multidetector computed tomography (MDCT) in traumatic wrist patients in a dose-matched setting. Methods: We prospectively enrolled traumatic patients who were scheduled for CT of the wrist. Patients were randomly assigned to CBCT or MDCT. Radiation dose was kept identical between both modalities. Subsequently, patients were asked to complete a questionnaire regarding the examination. Measurements of contrast-to-noise ratio (CNR) were performed. Three blinded readers independently rated image quality on Likert scales. Results: A total of 125 patients (mean age 35 years [standard deviation 16]; 91 men) were included. A total of 108 patients returned the questionnaire. With equivalent dose, CNRs were higher in CBCT compared to MDCT (p < 0.001) and the median ratings of image quality were better for CBCT compared to MDCT (p ≤ 0.04). Patients only rated positioning in CBCT as more comfortable than in MDCT (p < 0.001), while there were no further differences regarding satisfaction with both modalities. Conclusions: At equivalent dose settings to MDCT, CBCT showed a high image quality for the depiction of bony structures, soft tissue and artifacts in wrist examinations of trauma patients. Overall, patients were equally satisfied with both methods. Altogether, CBCT might be a promising alternative for wrist imaging. However, further studies with more different devices are needed. [ABSTRACT FROM AUTHOR]

Background: CBCT is widely used in dentistry and is used for a variety of purposes. The presence of different artifacts can reduce the quality of images. Since the implants mainly contain metals, they can cause many artifacts in CBCT images. Due to the importance of CBCT and the effects of artifacts on the final image quality, this study was conducted to investigate the effect of FOV size on the artifacts. Methods: Three human skulls with unbroken mandible and maxilla were selected. CBCT images were prepared under normal exposure conditions and with three ranges of FOV (4 × 5 cm2, 5 × 8 cm2, 8 × 8 cm2). Then an implant was placed in the empty dental sockets in the incisor, canine, and premolar areas, and CBCT images were taken with similar conditions. The Hounsfield Unit obtained before and after implant placement was compared, and their difference was considered as metal artifact. Data were analyzed using two-factor variance analysis. Results: In this study, the mean difference of artifacts with a large FOV in both jaws and in the mandible for medium and small radiation ranges from the central to the premolar side was always decreasing. However, in the maxilla for the medium and small radiation ranges, the mean difference increased from the central side to the canine, but again decreased relatively significantly from the canine to the premolar. The mean interaction between the dental areas and the FOV sizes was not significant (p = 0.997), and it was found that the amount of artifacts in the studied areas does not change with changing the size of the FOV. Also there was no significant difference of artifacts between the three types of FOV size (p = 0.730), but there was a significant difference between the dental areas (p = 0.020). Conclusions: According to the findings of this study, it can be concluded that the amount of metal artifacts is not related to the size of FOV. However, it is related to the position of the implant in the jaws and the density of the surrounding tissues. [ABSTRACT FROM AUTHOR]

We present a deep learning-based method that corrects motion artifacts and thus accelerates data acquisition and reconstruction of magnetic resonance images. The novel model, the Motion Artifact Correction by Swin Network (MACS-Net), uses a Swin transformer layer as the fundamental block and the Unet architecture as the neural network backbone. We employ a hierarchical transformer with shifted windows to extract multiscale contextual features during encoding. A new dual upsampling technique is employed to enhance the spatial resolutions of feature maps in the Swin transformer-based decoder layer. A raw magnetic resonance imaging dataset is used for network training and testing; the data contain various motion artifacts with ground truth images of the same subjects. The results were compared to six state-of-the-art MRI image motion correction methods using two types of motions. When motions were brief (within 5 s), the method reduced the average normalized root mean square error (NRMSE) from 45.25% to 17.51%, increased the mean structural similarity index measure (SSIM) from 79.43% to 91.72%, and increased the peak signal-to-noise ratio (PSNR) from 18.24 to 26.57 dB. Similarly, when motions were extended from 5 to 10 s, our approach decreased the average NRMSE from 60.30% to 21.04%, improved the mean SSIM from 33.86% to 90.33%, and increased the PSNR from 15.64 to 24.99 dB. The anatomical structures of the corrected images and the motion-free brain data were similar. [ABSTRACT FROM AUTHOR]

Background Lung ultrasound (LUS) is a promising tool for detecting SSc-associated interstitial lung disease (SSc-ILD). Currently, consensus on the best LUS findings and execution technique is lacking. Objectives To compare qualitative and quantitative assessment of B-lines and pleural line (PL) alterations in SSc-ILD with chest CT analysis. Methods During 2021–2022, consecutive SSc patients according to 2013 ACR/EULAR classification criteria underwent pulmonary functional tests (PFTs). On the same day, if a CT was performed over a ± 6 months period, LUS was performed by two certified blinded operators using a 14-scans method. The ≥10 B-lines cut-off proposed by Tardella and the Fairchild's PL criteria fulfilment were selected as qualitative findings. As quantitative assessment, total B-lines number and the quantitative PL score adapted from the semi-quantitative Pinal-Fernande z score were collected. CT scans were evaluated by two thoracic radiologists for ILD presence, with further processing by automated texture analysis software (QCT). Results Twenty-nine SSc patients were enrolled. Both qualitative LUS scores were significantly associated to ILD presence on CT, with Fairchild's PL criteria resulting in slightly more accuracy. Results were confirmed on multivariate analysis. All qualitative and quantitative LUS findings were found to be significantly associated with QCT ILD extension and radiological abnormalities. Mid and basal PL quantitative score correlated with mid and basal QCT ILD extents. Both B-lines and PL alterations differently correlated with PFTs and clinical variables. Conclusion This preliminary study suggests the utility of a comprehensive LUS assessment for SSc-ILD detection compared with CT and QCT. [ABSTRACT FROM AUTHOR]

Purpose: Optical properties of commonly used multifocal and extended-depth-of-focus (EDOF) intraocular lenses (IOLs) can induce artifacts or changes in optical coherence tomography (OCT) measurements. Our purpose was to investigate the possible effects of different IOLs on peripapillary and macular OCT parameters. Methods: The preoperative and postoperative third-month peripapillary OCT and ganglion cell analysis (GCA) parameters of patients having monofocal (Alcon IQ), multifocal (PanOptix), or EDOF (Vivity) IOL implanted during cataract surgery were compared. Results: Sixty-four eyes of 64 patients were included (21 monofocal, 24 multifocal, and 19 EDOF). Although all OCT image qualities increased postoperatively, only GCA image quality changes in the monofocal and multifocal groups reached statistical significance. Most peripapillary retinal nerve fiber layer (RNFL) and GCA parameters were similar preoperatively and postoperatively. The superior RNFL thickness in the monofocal group and the temporal RNFL thickness in the EDOF group were higher postoperatively (P = 0.04 and P = 0.02, respectively). Most GCA and RNFL value changes between preoperative and postoperative measurements were similar between groups. In the parameters that changed, postoperative values were higher in the monofocal group (P = 0.02 for minimum ganglion cell layer and inner plexiform layer, P = 0.04 for average RNFL). Conclusion: Trifocal and EDOF IOLs do not seem to have a negative effect on OCT parameters. [ABSTRACT FROM AUTHOR]

After emergent assessment of potentially limb-threatening injuries in knee dislocation or multi-ligament knee injury patients, magnetic resonance imaging is necessary to visualize ligamentous structures and plan for soft tissue repair. However, the application of a knee-spanning external fixator may introduce artifact and reduce overall image quality, which can limit the evaluation of soft tissue injury. As a result, the utility of MRI in the context of a knee-spanning external fixator has been called into question. Signal-to-noise ratio, contrast-to-noise ratio, and qualitative scales have been used to assess image quality of MRI in the context of a knee-spanning external fixator. Despite the potential for artifact, studies have demonstrated that useful diagnostic information may be obtained from MRI in the presence of an external fixator. This review examines the general principles of anatomical assessment, magnetic field strength, device composition and design, radiofrequency coil use, and MRI sequences and artifact reduction as they pertain to MRI in the presence of a knee-spanning external fixator. [ABSTRACT FROM AUTHOR]

Objectives: The single-energy metal artifact reduction (SEMAR) algorithm effectively reduces metal artifacts in computed tomography (CT). The study aimed to evaluate the effect of the occlusal plane angle on metal artifacts caused by dental implants and zirconia upper structures, and the effectiveness of SEMAR for CT prognostic evaluation. Methods: Part of a bovine rib was used as the mandibular implant phantom. First, the phantom immersed in a water tank was scanned using CT to obtain the control image under certain conditions. Subsequently, three titanium implant bodies were implanted in a straight line into the phantom, and a zirconia superstructure was attached. CT scans were performed. The CT-reconstructed images were obtained with and without SEMAR processing. Twelve regions of interest (ROIs) were set at the same site on each sagittal image, and the CT values were measured at all the ROIs. The CT values of the ROIs in the control images and those of the ROIs with and without SEMAR were compared. Results: The variations in the occlusal plane angle during CT imaging negligibly affected the number of regions in which metal artifacts appeared. SEMAR improved the CT value of the trabecular bone, which was affected by metal artifacts. Conclusion: This study showed that the occlusal plane angle occasionally did not affect the area of metal artifacts caused by dental implants or zirconia upper structures. Other results indicate that SEMAR is effective for accurately evaluating the alveolar bone around the implant body by reducing metal artifacts. [ABSTRACT FROM AUTHOR]

Objectives: This systematic review on generative adversarial network (GAN) architectures for dental image analysis provides a comprehensive overview to readers regarding current GAN trends in dental imagery and potential future applications. Methods: Electronic databases (PubMed/MEDLINE, Scopus, Embase, and Cochrane Library) were searched to identify studies involving GANs for dental image analysis. Eighteen full-text articles describing the applications of GANs in dental imagery were reviewed. Risk of bias and applicability concerns were assessed using the QUADAS-2 tool. Results: GANs were used for various imaging modalities, including two-dimensional and three-dimensional images. In dental imaging, GANs were utilized for tasks such as artifact reduction, denoising, and super-resolution, domain transfer, image generation for augmentation, outcome prediction, and identification. The generated images were incorporated into tasks such as landmark detection, object detection and classification. Because of heterogeneity among the studies, a meta-analysis could not be conducted. Most studies (72%) had a low risk of bias in all four domains. However, only three (17%) studies had a low risk of applicability concerns. Conclusions: This extensive analysis of GANs in dental imaging highlighted their broad application potential within the dental field. Future studies should address limitations related to the stability, repeatability, and overall interpretability of GAN architectures. By overcoming these challenges, the applicability of GANs in dentistry can be enhanced, ultimately benefiting the dental field in its use of GANs and artificial intelligence. [ABSTRACT FROM AUTHOR]

Background: an unknown dead body always becomes a challenge to the Investigating officer and forensic expert. However, the problem of determining the identity gets aggravated and taxes for the experts, when the dead body is recovered in decomposed/ skeletonized and mutilated form. Materials and Methods: A standard proforma was designed to collect the information to ensure consistency for the whole sample. All dead bodies that were brought as unidentified were included however identified dead bodies were excluded from the study. Results: A total of 407 post-mortem examinations were conducted at the mortuary of the department during under study and amongst them, 56 cases (13.75%) were found unidentified. Of these unidentified cases, 69.64% (39 cases) were in decomposed and 30.35% (17 cases) were in fresh state. Unidentified cases comprised 80.35% males (45 cases) and 19.64% females (11 cases). Conclusion: Unidentified dead bodies were only 13.75% of the total dead bodies coming to the autopsy in the mortuary of the Department of Forensic Medicine and Toxicology, VCSGGIMS & R, Srikot, Srinagar, Pauri Garhwal, UTTARAKHAND during the study period of 5 years. [ABSTRACT FROM AUTHOR]

Objective: To identify factors influencing volume change in non-osseous oral free flap reconstruction using postoperative cross-sectional imaging and 3-dimensional segmentation of the free flap's muscular and adipose tissue content. Methods: Oral tongue free flap reconstruction cases (2014-2019) were reviewed with inclusion of patients with 3 postoperative, cross-sectional imaging studies with 1 within 6 months, 1 within 1 year, and 1 that spanned 2 years post-reconstruction. Exclusion criteria included recurrence, significant dental artifact, bony reconstruction, and flap failure. Demographics, risk factors, and surgical/clinical treatments were identified. Flap volumes were measured using Materialise MIMICS. Results: Twenty-two patients met strict inclusion criteria. Four flaps were anterolateral thighs and 18 radial forearms. Median percent volume loss greater than 2 years post-reconstruction was 53.2% overall, 58.1% for radial forearms, and 45.4% for ALTs (21.4% for adipose tissue and 57.4% for muscular tissue). Univariate analysis revealed glossectomy amount was associated with percent volume loss (P =.0417). Each successive postoperative month, the flap decreased by 1.54% (P <.0001). Checking for the interaction effect, the percent of flap loss across time was different for glossectomy amount (P =.0093), obesity status (P =.0431), and base of tongue involvement (P =.0472). Conclusion: Glossectomy type, and thus flap size, is a positive predictor for flap atrophy. Obesity and base of tongue involvement are negative predictors for flap atrophy. The amount of tissue loss may differ from classical teachings with median atrophy 53.2% greater than 2 years post-reconstruction. [ABSTRACT FROM AUTHOR]

Simple Summary: Amide proton transfer weighted (APTw) imaging is a contrast-free molecular imaging method based on the chemical exchange saturation transfer (CEST) technique, initially applied and explored in brain cancers. Previous studies of APTw imaging in the head and neck area have applied APTw protocols in the brain, and hyperintensity artifacts remain a problem to solve. A total of 32 lesions and 30 parotid glands were involved in this research to address the effect of B1 power modification on improving APTw imaging quality in parotid tumor identification, aiming to minimize hyperintensity artifacts. We found that hyperintensity artifacts declined with B1 power decreasing, and combinations of different APTw sequences could improve tumor detection feasibility compared to one APTw sequence. Our findings in this research could give an insight into APTw imaging quality improvement in the head and neck area, which might help the noninvasive diagnosis of parotid tumors in the future. Background: In the application of APTw protocols for evaluating tumors and parotid glands, inhomogeneity and hyperintensity artifacts have remained an obstacle. This study aimed to improve APTw imaging quality and evaluate the feasibility of difference B1 values to detect parotid tumors. Methods: A total of 31 patients received three APTw sequences to acquire 32 lesions and 30 parotid glands (one patient had lesions on both sides). Patients received T2WI and 3D turbo-spin-echo (TSE) APTw imaging on a 3.0 T scanner for three sequences (B1 = 2 μT, 1 μT, and 0.7 μT in APTw 1, 2, and 3, respectively). APTw image quality was evaluated using four-point Likert scales in terms of integrity and hyperintensity artifacts. Image quality was compared between the three sequences. An evaluable group and a trustable group were obtained for APTmean value comparison. Results: Tumors in both APT2 and APT3 had fewer hyperintensity artifacts than in APT1. With B1 values decreasing, tumors had less integrity in APTw imaging. APTmean values of tumors were higher than parotid glands in traditional APT1 sequence though not significant, while the APTmean subtraction value was significantly different. Conclusions: Applying a lower B1 value could remove hyperintensity but could also compromise its integrity. Combing different APTw sequences might increase the feasibility of tumor detection. [ABSTRACT FROM AUTHOR]

BACKGROUND: Tracheobronchial foreign body (FB) aspiration (FBA) is a life-threatening emergency mostly observed in childhood and advanced age. With early diagnosis, the FB can be removed using bronchoscopic methods without causing irreversible damage. METHODS: This was a single-center, retrospective observational study. Subjects diagnosed with FBA via either bronchoscopic methods and/or radiological findings, having no medical history of aspirated FB, and who were detected to have aspirated FB for longer than 30 days were included in the study. Medical records and radiological and bronchoscopic findings of the subjects were investigated from the hospital information database system. RESULTS: Of the 255 patients with FBA, 17.6% (N 5 45) were diagnosed late. The mean age was 53 y; 28% were female, and 60% of the subjects had a history of ever smoking. The estimated residence time of the FB in the bronchial system was 22.8 months. The most common complaints were cough and shortness of breath. Fortytwo percent of the aspirated FBs were organic material. FB artifact could be observed in 6.7% of posteroanterior chest radiographs and 65% of thorax computed tomography (CT) scans. Rigid bronchoscopy had been primarily preferred as therapeutic interventional procedure. It was also found that the artifact most frequently resided in the right bronchial system and was most commonly found in the right lower lobe, while granulation tissue was formed in 85% of the subjects. CONCLUSIONS: The findings of the present study demonstrate that subjects tended to forget the FBA, leading to insidious respiratory system symptoms, with recurrent infections. In cases with an endobronchial mass lesion image on thorax CT, clinicians should consider the possibility of FBA. Delayed diagnosis of both organic and inorganic FB may cause granulation tissue. [ABSTRACT FROM AUTHOR]

Traditional blood flow mapping algorithms are not effective enough when the region of interest contains the sources of artifacts. This paper examines the signatures of blood flow signals, as well as noise and artifact signals. Mathematical rules are proposed on the basis of these features to discriminate the blood flow signal from other signals, including the Doppler twinkling artifact. The diagnostic efficiency of the proposed decision rules is assessed using the previously collected database of raw ultrasound Doppler signals. The study results showed that taking account of the spatial stability of blood flow velocity can increase diagnostic efficiency to 91.6%. [ABSTRACT FROM AUTHOR]

Specific participant characteristics may be leveraged to dictate marker placements which reduce soft tissue artifact; however, a better understanding of the relationships between participant characteristics and soft tissue artifact are first required. The purpose of this study was to assess the accuracy in which measures of whole-body and thigh anthropometry could predict mislocation error of the hip joint center, tracked using skin-mounted marker clusters. Fifty participants completed squatting and kneeling, while pelvis and lower limb motion were recorded. The effect of soft tissue artifact was estimated from 6 rigid thigh marker clusters by evaluating their ability to track the position of the hip joint center most like the pelvis cluster. Eighteen backward stepwise linear regressions were performed using 10 anthropometric measures as independent variables and the mean of the peak difference between the thigh and pelvis cluster-tracked hip joint centers. Fourteen models significantly predicted error with low to moderate fit (R = .38-.67), explaining 14% to 45% of variation. Partial correlations indicated that soft tissue artifact may increase with soft tissue volume and be altered by local soft tissue composition. However, it is not recommended that marker placement be adjusted based on anthropometry alone. [ABSTRACT FROM AUTHOR]

Purpose: Cone beam computed tomography (CBCT) image quality is known to be affected by artifacts produced by metal restorations, causing image deterioration via bright streaks and loss of gray values in the vicinity of the metallic structure. The aim of the study was to determine the impact of progressively increasing metal artifacts on the measurement accuracy of commonly evaluated points in implant treatment planning. Materials and Methods: Holes were drilled into porcine mandibles at known distances from the alveolar crest on the buccal and lingual surfaces and filled with gutta-percha. Repeated CBCT images were taken, with progressively increasing amalgam restorations and stainless steel crowns (up to a total of eight restorations per jaw). The imaging field of view (FOV) was of a single site (5 × 5 cm2) in two different locations in the mandible, as well as a full-arch FOV (10 × 5 cm2). Images were taken using clinical settings, and with increased kVp and exposure time, without metal artifact reduction (MAR) corrections. Measurements between the buccal and lingual gutta-percha points on the mandible were performed using a digital caliper and compared to the same measurements taken digitally on the CBCT images. Measurements were obtained with no restorations (baseline) and compared with increasing number of restorations. Results: Comparison between caliper measurements and baseline CBCT with no metal artifact demonstrated differences ranging from 0 to 1.7 mm, with no clear detectable pattern of change related to the restorations. Compared to baseline measurements, scans with amalgam and stainless steel restorations showed a maximum difference of 0.54 ± 0.64 mm and 0.62 ± 0.64 mm, respectively, with no significant differences with increasing metal restorations. Conclusion: There may be a variation of up to 1.7 mm between measured anatomical points and CBCT imaging under commonly used settings. While this result may be clinically important, it does not appear to be affected by increasing metal artifact due to amalgam restorations or stainless steel crowns. The findings of this study support current clinical practices accounting for a safety margin of up to 2 mm with any CBCT image, and not limiting CBCT scans for patients with multiple metal restorations. [ABSTRACT FROM AUTHOR]

Background: The routine application of dental implants for replacing missing teeth has revolutionized restorative and prosthetic dentistry. However, cone beam computed tomography (CBCT) evaluations of structures adjacent to the implants are limited by metal artifacts. There are several methods for reducing metal artifacts, but this remains a challenging task. This study aimed to examine the effectiveness of metal artifact reduction (MAR) algorithms in identifying injuries of implants to the inferior alveolar canal in CBCT images. Method: In this in vitro study, mono-cortical bone windows were created and the inferior alveolar canal was revealed. Using 36 implants, pilot drill and penetration damage of the implant tip into the canal was simulated and compared to the control implants with distance from the canal. CBCT images were evaluated by four experienced observers with and without the MAR algorithm and compared to direct vision as the gold standard. The values of accuracy, sensitivity, and specificity were obtained and compared by receiver operating characteristic (ROC) curve (α = 0.05). Result: The area under the ROC curve values for detection of pilot drill injuries varied between 0.840–0.917 and 0.639–0.854 in the active and inactive MAR conditions, respectively. The increase in ROC area was only significant for one of the observers (P = 0.010). For diagnosing penetrative injuries, the area under the ROC curve values was between 0.990–1.000 and 0.722–1.000 in the active and inactive MAR conditions, respectively. The improvement of ROC curve values in active MAR mode was only significant for one of the observers (P = 0.006). Conclusion: Activation of MAR improved the diagnostic values of CBCT images in detecting both types of implant-related injuries to the inferior alveolar canal. However, for most observers, this increase was not statistically significant. [ABSTRACT FROM AUTHOR]

Simple Summary: External-beam radiotherapy (EBRT) is the standard of care for prostate cancer (PCa). Precision is critical to target the intraprostatic dominant lesion(s) and limit treatment-related toxicity from unnecessary irradiation of surrounding normal tissues. Currently, to achieve this goal, fiducial markers (FMs) are used in EBRT planning and treatment delivery. However, some of the features of current FMs (e.g., poor visibility on MRI, substantial CT and MR artifacts, radiation dose perturbations) affect treatment accuracy. The aim of our study was to evaluate the performance of a novel FM (NOVA) in phantoms and in a patient. We found that NOVA FMs were positively visualized on ultrasound (US), kV X-ray, CT, and MR images, had reduced CT and MR artifacts, and caused less proton dose perturbations than Gold Anchor and BiomarC (carbon) FMs. Our findings indicate the value of NOVA FMs in daily treatment positioning, MRI/CT co-image registration, and MRI-based treatment-plan generation for patients with PCa undergoing EBRT. Background: Current fiducial markers (FMs) in external-beam radiotherapy (EBRT) for prostate cancer (PCa) cannot be positively visualized on magnetic resonance imaging (MRI) and create dose perturbation and significant imaging artifacts on computed tomography (CT) and MRI. We report our initial experience with clinical imaging of a novel multimodality FM, NOVA. Methods: We tested Gold Anchor [G-FM], BiomarC [carbon, C-FM], and NOVA FMs in phantoms imaged with kilovoltage (kV) X-rays, transrectal ultrasound (TRUS), CT, and MRI. Artifacts of the FMs on CT were quantified by the relative streak artifacts level (rSAL) metric. Proton dose perturbations (PDPs) were measured with Gafchromic EBT3 film, with FMs oriented either perpendicular to or parallel with the beam axis. We also tested the performance of NOVA-FMs in a patient. Results: NOVA-FMs were positively visualized on all 4 imaging modalities tested. The rSAL on CT was 0.750 ± 0.335 for 2-mm reconstructed slices. In F-tests, PDP was associated with marker type and depth of measurement (p < 10−6); at 5-mm depth, PDP was significantly greater for the G-FM (12.9%, p = 10−6) and C-FM (6.0%, p = 0.011) than NOVA (4.5%). EBRT planning with MRI/CT image co-registration and daily alignments using NOVA-FMs in a patient was feasible and reproducible. Conclusions: NOVA-FMs were positively visible and produced less PDP than G-FMs or C-FMs. NOVA-FMs facilitated MRI/CT fusion and identification of regions of interest. [ABSTRACT FROM AUTHOR]

Removal of motion artifacts from medical images is essential, because the respiration by patient causes degradation in artifact removal. Therefore, getting an MRI without any artifacts and noise is challenging. Previous techniques failed to preserve the image quality during denoising, thereby affecting the classification accuracy. To overcome such challenges, two modules are considered in this work: classification and denoising. The classification process is successfully performed by Hybrid Deep autoencoder-convolutional neural network (DAE-CNN). It classifies the original images into motion artifacts, available and normal images. Then, the available artifacts are removed using cross guided bilateral filter (CGBF). The optimal parameters required to improve the CGBF performance are selected using the hybrid optimization algorithm. The filter's performance relies on the optimal spatial and range kernels selection. Finally, the classification and denoising-based results are evaluated using the BRATS 2015 dataset and achieved 95.84% accuracy and PSNR – 46.4, which is better than existing methods. [ABSTRACT FROM AUTHOR]

Purpose: We investigated the effect of deep learning reconstruction (DLR) plus single-energy metal artifact reduction (SEMAR) on neck CT in patients with dental metals, comparing it with DLR and with hybrid iterative reconstruction (Hybrid IR)–SEMAR. Methods: In this retrospective study, 32 patients (25 men, 7 women; mean age: 63 ± 15 years) with dental metals underwent contrast-enhanced CT of the oral and oropharyngeal regions. Axial images were reconstructed using DLR, Hybrid IR–SEMAR, and DLR-SEMAR. In quantitative analyses, degrees of image noise and artifacts were evaluated. In one-by-one qualitative analyses, 2 radiologists evaluated metal artifacts, the depiction of structures, and noise on five-point scales. In side-by-side qualitative analyses, artifacts and overall image quality were evaluated by comparing Hybrid IR–SEMAR with DLR-SEMAR. Results: Artifacts were significantly less with DLR-SEMAR than with DLR in quantitative (P <.001) and one-by-one qualitative (P <.001) analyses, which resulted in significantly better depiction of most structures (P <.004). Artifacts in side-by-side analysis and image noise in quantitative and one-by-one qualitative analyses (P <.001) were significantly less with DLR-SEMAR than with Hybrid IR–SEMAR, resulting in significantly better overall quality of DLR-SEMAR. Conclusions: Compared with DLR and Hybrid IR–SEMAR, DLR-SEMAR provided significantly better supra hyoid neck CT images in patients with dental metals. [ABSTRACT FROM AUTHOR]

Purpose: The use of magnetic resonance angiography (MRA) for assessing CNS fetal vasculature has been limited. The aim of this study was to determine the feasibility and added value of 2D time-of-flight (TOF) MRA of the fetal brain vasculature with a 1.5 T scanner. Methods: We conducted a prospective study (September 2018 to October 2022) by consecutively selecting pregnant women (≥ 18 years) with clinical indication to fetal brain MRI. On a 1.5 T scanner, a 2D TOF MRA acquisition was obtained at the end of the clinical protocol. Two neuroradiologists independently reviewed all MRIs; a qualitative scale of motion artifacts was applied to MRA images; represented vessels in MRA and T2 images were registered. Results: Thirty-five fetal brain MRIs. Mean maternal age: 32 years; mean fetal gestational age (GA): 31 weeks. Artifacts were found in 74% of MRA. The number of MRAs performed without artifacts increased with GA. On MRA, the identification of the majority of vessels increased with GA; statistical significance was reached in the identification of torcular Herophili (p = 0.026), vein of Galen (p < 0.001), internal cerebral veins (p = 0.002), basilar artery (p = 0.027), vertebral arteries (p = 0.025), and middle cerebral arteries (p = 0.044). Significantly, MRA depicted the sigmoid sinuses and internal jugular veins more frequently. Vascular pathology was found in 3/35 fetal brain MRIs. Conclusion: Although artifacts were found in 74% of cases, MRA acquisitions were informative and of sufficient diagnostic quality in most studies. This technique may represent a valuable complimentary tool in CNS prenatal vascular studies. [ABSTRACT FROM AUTHOR]

Dermatoscopy is a non-invasive and cost-efficient imaging technique augmenting clinical examination in neoplastic and non-neoplastic dermatoses. Recently, novel dermatoscopic techniques based on principles of reflectance/absorption and excited fluorescence have been developed. However, comprehensive data on their applications are sparse, and terminology is inconsistent. In this systematic review, we addressed the principles of ultraviolet (UV) imaging and proposed categorization based on spectral characteristics and signal acquisition, as well as discussed documented and potential clinical applications, safety measures during examination, and limitations associated with reflectance and fluorescence dermatoscopy. A literature search was conducted in the PubMed medical database until 2 December 2023 according to PRISMA guidelines, and 28 papers fit the scope of this review, whereas additional relevant articles were included to provide broader context regarding the chosen terminology, chromophores described, safety of sub-UV/UV, and regulations for light-emitting devices. UV and sub-UV dermatoscopy, categorized into different methods on the basis of the emitted wavelength and signal acquisition process (reflectance versus fluorescence), augment conventional dermatoscopy by optimizing safety margins in melanoma, facilitating early detection of tumor recurrence, and enhancing visualization in non-neoplastic conditions, including pigmentation disorders, intertrigo, papulo-desquamative dermatoses, and beyond. The review highlights the limitations of these techniques, including difficulty in differentiating melanin from hemoglobin, challenges in evaluating uneven surfaces, and artifacts. Although UV dermatoscopy complements conventional dermatoscopy, clinicians should be aware of their peculiarities, artifacts, limitations, and safety concerns to optimize their diagnostic accuracy and ensure patient's safety. [ABSTRACT FROM AUTHOR]

While systems engineers and philosophers of technology have analysed failure in artefacts, the nature of failure in sociotechnical systems has been largely underdeveloped. Sociotechnical systems differ from artefacts in that they are made up of relationships between people and technologies, and this difference means that failure needs a different analysis. In this article, we provide an account of two kinds of malfunctioning in sociotechnical systems. To accomplish this, we draw on resources from the disciplines of Human Factors, Systems Engineering, and Philosophy of Technology. We offer an account of two kinds of malfunction that are not only dependent on functions but also on roles of people involved in the functioning of sociotechnical systems. Hence, we aim to broaden the discourse of malfunctions in sociotechnical systems in terms of relations (relational roles). Primarily, we address two roles of users and operators and show how these different roles involve different kinds of malfunctions. Specifically, we highlight that two kinds of malfunctions can occur in sociotechnical systems: ambiguity-based failure and expectation-based failure. [ABSTRACT FROM AUTHOR]

Artifacts in nuclear medicine imaging are not uncommon. We are aware of some of these, for which we follow necessary protocols to avoid them. However, there are some unusual and unavoidable artifacts that we come across in daily imaging, which may be of concern and need to be detected and corrected on time. Hence, sharing a few such unusual artifacts we encountered while performing routine studies on positron emission tomography-computed tomography and gamma cameras, evaluating the cause and possible precautions. [ABSTRACT FROM AUTHOR]

The Artifacts of Culture Change (ACC) was funded by the Centers for Medicare & Medicaid Services (CMS) in 2006 as an implementation tool to support person-directed living in nursing homes; however, the original tool was never validated. The aim of this study was to develop and qualitatively validate a revised Artifacts of Culture Change 2.0 version. First, a qualitative method using semi-structured interviews of national experts and users of the original tool garnered suggestions for revisions, followed by a pilot-testing process with six organizations across the long-term care continuum to validate respondents' understanding of terminology and concepts and to examine the process of completing the tool. Interpretation of certain items of the ACC 2.0 did vary resulting in clarifying revisions to the tool. The process also resulted in an additional version of the tool – the Artifacts of Culture Change for Assisted Living. [ABSTRACT FROM AUTHOR]

Purpose: Artifacts in magnetic resonance imaging (MRI) scans degrade image quality and thus negatively affect the outcome measures of clinical and research scanning. Considering the time-consuming and subjective nature of visual quality control (QC), multiple (semi-)automatic QC algorithms have been developed. This systematic review presents an overview of the available (semi-)automatic QC algorithms and software packages designed for raw, structural T1-weighted (T1w) MRI datasets. The objective of this review was to identify the differences among these algorithms in terms of their features of interest, performance, and benchmarks. Methods: We queried PubMed, EMBASE (Ovid), and Web of Science databases on the fifth of January 2023, and cross-checked reference lists of retrieved papers. Bias assessment was performed using PROBAST (Prediction model Risk Of Bias ASsessment Tool). Results: A total of 18 distinct algorithms were identified, demonstrating significant variations in methods, features, datasets, and benchmarks. The algorithms were categorized into rule-based, classical machine learning-based, and deep learning-based approaches. Numerous unique features were defined, which can be roughly divided into features capturing entropy, contrast, and normative measures. Conclusion: Due to dataset-specific optimization, it is challenging to draw broad conclusions about comparative performance. Additionally, large variations exist in the used datasets and benchmarks, further hindering direct algorithm comparison. The findings emphasize the need for standardization and comparative studies for advancing QC in MR imaging. Efforts should focus on identifying a dataset-independent measure as well as algorithm-independent methods for assessing the relative performance of different approaches. [ABSTRACT FROM AUTHOR]

We developed a high‐resolution and noninvasive multichannel urodynamic system combined with a novel signal‐processing algorithm tailored to extract electromyographic (EMG) activity from the urinary bladder. We utilized a flexible noninvasive biopotential recording system to collect an array of EMG signals from the urinary bladder of human subjects. This study also presents the use of an existing artifact rejection methodology to autonomously extract an EMG signal from an environment prone to motion artifacts. [ABSTRACT FROM AUTHOR]

Background: Intraoperative 3D imaging using cone-beam CT (CBCT) provides improved assessment of implant position and reduction in spine surgery, is used for navigated surgical techniques, and therefore leads to improved quality of care. However, in some cases the image quality is not sufficient to correctly assess pedicle screw position and reduction, especially due to metal artifacts. The aim of this study was to investigate whether changing the acquisition trajectory of the CBCT in relation to the pedicle screw position during dorsal instrumentation of the spine can reduce metal artifacts and consequently improve image quality as well as clinical assessability on the artificial bone model. Methods: An artificial bone model was instrumented with pedicle screws in the thoracic and lumbar spine region (Th10 to L5). Then, the acquisition trajectory of the CBCT (Cios Spin, Siemens, Germany) to the pedicle screws was systematically changed in 5° steps in angulation (− 30° to + 30°) and swivel (− 30° to + 30°). Subsequently, radiological evaluation was performed by three blinded, qualified raters on image quality using 9 questions (including anatomical structures, implant position, appearance of artifacts) with a score (1–5 points). For statistical evaluation, the image quality of the different acquisition trajectories was compared to the standard acquisition trajectory and checked for significant differences. Results: The angulated acquisition trajectory increased the score for subjective image quality (p < 0.001) as well as the clinical assessability of pedicle screw position (p < 0.001) highly significant with particularly strong effects on subjective image quality in the vertebral pedicle region (d = 1.06). Swivel of the acquisition trajectory significantly improved all queried domains of subjective image quality (p < 0.001) as well as clinical assessability of pedicle screw position (p < 0.001). The data show that maximizing the angulation or swivel angle toward 30° provides the best tested subjective image quality. Summary: Angulation and swivel of the acquisition trajectory result in a clinically relevant improvement in image quality in intraoperative 3D imaging (CBCT) during dorsal instrumentation of the spine. [ABSTRACT FROM AUTHOR]

Objective: It has recently been discussed whether hearing screening and hearing threshold assessment can accurately be completed using automated ASSR methods for children with auditory neuropathy spectrum disorder (ANSD). Possible causes for the claimed potential failures were investigated here. Design: The study is based on the analysis of stored ASSR raw data. Study sample: This study reviewed raw ASSR data from 274 patients with a total of 5809 individual recordings. Results: Cochlear microphonics (CM) were found in 18 of the 274 patient records. Four of these 18 were obtained from patients with ANSD. One patient with ANSD without click auditory brainstem responses up to 100 dBnHL demonstrated clear ASSR responses from 65 dBnHL upwards. Where click stimulation suggests an auditory nerve defect, narrow-band chirps were shown to evoke ASSR in certain patients. CMs are elicited by narrow-band chirps in the same way as by broadband stimuli. CM residuals as well as a presumed enlarged wave I with absent neural responses, always accompanied by CM, were found as possible causes of misinterpretation at high stimulus levels. A CM detector was created. Conclusions: The CM detector, indicating the presence of CM, will prevent misinterpretation of clinical ASSR results. [ABSTRACT FROM AUTHOR]

The article describes the case of an adult male with a history of developmental delay and seizure disorder who was admitted to the intensive care unit for continuous electroencephalogram (EEG) monitoring for progressive altered mental status and was undergoing airway clearance therapy via a Hillrom Progressa bed. The remote monitoring technologists observed rhythmic movements in the patient's upper body and the head of the bed with simultaneous EEG changes.

Purpose: Medialization procedures for unilateral vocal fold (VF) paralysis generally improve voice but do not fully replace dynamic VF adduction. Paralyzed VFs typically experience synkinetic reinnervation, which makes it feasible to elicit movement through electrical stimulation. We tested a novel laryngeal pacing implant capable of providing closed-loop (automatic) stimulation of a VF triggered by electromyography (EMG) potentials from the contralateral VF. Method: A custom, battery-powered, microprocessor-based stimulator was tested in eight dogs with bipolar electrodes implanted for recording EMG from the left VF and stimulating adduction of the right VF. A cuff electrode on the left recurrent laryngeal nerve (RLN) stimulated unilateral VF adduction, modeling voluntary control in anesthetized animals. Closed-loop stimulation was tested in both acute and chronic experiments. Synkinetic reinnervation was created in two animals by right RLN transection and suture repair to model unilateral VF paralysis. Results: In all animals, left VF activation through RLN stimulation generated a robust EMG response that rapidly triggered stimulation of contralateral thyroarytenoid and lateral cricoarytenoid muscles, causing nearly simultaneous bilateral adduction. Optimal triggering of VF stimulation from elicited EMG was achieved using independent onset and offset thresholds. Real-time artifact blanking allowed closed-loop stimulation without self-perpetuating feedback, despite the proximity of recording and stimulation electrodes. Conclusions: Using a custom implant system, we demonstrated real-time closed-loop stimulation of one VF triggered by the activation of the contralateral VF. This approach could potentially restore dynamic glottic closure for reflexive behaviors or phonation in cases of unilateral VF paralysis with synkinetic reinnervation. Supplemental Material: https://doi.org/10.23641/asha.24492133 [ABSTRACT FROM AUTHOR]

Breast cancer is the most prevalent cancerous tumor in women, characterized by different subtypes and varying responses to treatment. The continued evolution of breast cancer diagnosis and management has resulted in a transition from a one‐size‐fits‐all approach to a new era of personalized treatment plans. Therefore, it is essential to accurately identify the biological characteristics of breast tissue in order to minimize unnecessary biopsies of benign lesions and improve the overall clinical process, leading to reduced expenses and complications associated with invasive biopsy procedures. Challenges for future research include finding ways to predict the response of breast cancer patients to adjuvant systemic treatment. Dual‐energy CT (DECT) is a new imaging technology integrating functional imaging and molecular imaging. Over the past decade, DECT has gained relevancy, especially in oncological radiology. This article proposed a literature review of the application and research status of DECT in breast cancer treatment strategy determination and prognosis prediction. [ABSTRACT FROM AUTHOR]

Purpose: The objective of this study was to identify the highly cited references that drove the research on implant dentistry with CBCT. Materials and Methods: The literature database Web of Science Core Collection was accessed to identify a collection of papers on this theme. Cited reference analysis was conducted with the aid of CRExplorer, dedicated bibliometric software. Results: The analysis succeeded in identifying the papers that introduced the very first CBCT machines in the Asian and European markets, respectively; papers that proved the CBCT measurement accuracy, its ability to visualize sinus floor penetration, and its reduced metal artifact relative to conventional CT; papers that gave imaging guidelines for implant cases; and papers reporting bone remodeling at extraction sockets and the possibility of grafting at sites with inadequate bone. Conclusion: These publications together provided solid evidence to support subsequent dental implant research and evaluation by CBCT. [ABSTRACT FROM AUTHOR]