Journal of Medical Imaging and Radiation Sciences最新文献

{"title":"For the busy clinical-imaging professional in an AI world: Gaining intuition about deep learning without math","authors":"Dolly Y. Wu ,&nbsp;Dat T. Vo ,&nbsp;Stephen J. Seiler","doi":"10.1016/j.jmir.2024.101762","DOIUrl":"10.1016/j.jmir.2024.101762","url":null,"abstract":"<div><div>Medical diagnostics comprise recognizing patterns in images, tissue slides, and symptoms. Deep learning algorithms (DLs) are well suited to such tasks, but they are black boxes in various ways. To explain DL Computer-Aided Diagnostic (CAD) results and their accuracy to patients, to manage or drive the direction of future medical DLs, to make better decisions with CAD, etc., clinical professionals may benefit from hands-on, under-the-hood lessons about medical DL. For those who already have some high-level knowledge about DL, the next step is to gain a more-fundamental understanding of DLs, which may help illuminate inside the boxes. The objectives of this Continuing Medical Education (CME) article include:<ul><li><span>•</span><span><div>Gain an intuitive understanding of DL</div></span></li><li><span>•</span><span><div>Learn example DL architectures for pattern recognition</div></span></li><li><span>•</span><span><div>Explore optimization of DLs and some factors that affect their accuracy using non-clinical images as input data</div></span></li><li><span>•</span><span><div>Gain insights from simulations to probe DL behavior and options to optimize DLs</div></span></li><li><span>•</span><span><div>Review lessons learned from the simulations</div></span></li></ul>Better understanding can come from relatable medical analogies and personally experiencing quick simulations to observe deep learning in action, akin to the way clinicians are trained to perform other tasks. We developed readily-implementable demonstrations and simulation exercises. We framed the exercises using analogies to breast cancer, malignancy and cancer stage as example diagnostic applications. The simulations revealed a nuanced relationship between DL output accuracy and the quantity and nature of the data. The simulation results provided lessons-learned and implications for the clinical world. Although we focused on DLs for diagnosis, they are similar to DLs for treatment (e.g. radiotherapy) so that treatment providers may also benefit from this tutorial.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101762"},"PeriodicalIF":1.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing CT examination efficiency with ChatGPT-4o for multilingual Hajj pilgrims: A short communication","authors":"Yasser H. Hadi ,&nbsp;Fatimah K. Altalhi ,&nbsp;Hussam M. Ali ,&nbsp;Mohammed A. Shabli ,&nbsp;Abdulrahman I. Abu Aqil ,&nbsp;Andrew England","doi":"10.1016/j.jmir.2024.101781","DOIUrl":"10.1016/j.jmir.2024.101781","url":null,"abstract":"<div><h3>Introduction/background</h3><div>The annual Hajj pilgrimage brings millions of Muslims from diverse linguistic backgrounds to Makkah, Saudi Arabia. This poses significant communication challenges in medical settings, particularly during complex procedures like computed tomography (CT) examinations. In 2024, a tertiary care hospital integrated ChatGPT-4o real-time translation technology to address these challenges. This short communication aims to provide an initial assessment of the effectiveness of ChatGPT-4o in improving communication, procedure quality, and examination efficiency for multilingual Hajj pilgrims.</div></div><div><h3>Methods</h3><div>This quantitative study, conducted in the radiology department, analysed data from two periods: June 20 to July 8, 2023, and June 7 to June 23, 2024. Ethical clearance was obtained, and key variables measured included examination time (in minutes), patient throughput (cases per shift), and the number of scans with artifacts. Feedback on communication and satisfaction was gathered from both patients and radiographers. Paired t-tests were used to compare mean values of examination times, throughput, and artifact occurrence between the two periods, with a significance level set at <em>P</em> &lt; 0.05.</div></div><div><h3>Results</h3><div>A paired t-test revealed a statistically significant (<em>p</em> &lt; 0.01) reduction in mean examination time (from 15.4 (2.1) minutes in 2023 to 11.1 (1.7) minutes in 2024) following the introduction of ChatGPT-4o. This reduction corresponded with an increase in mean (standard deviation) patient throughput from 49.5 (4.8) cases per shift in 2023 to 56.2 (5.3) cases per shift in 2024 (<em>P</em> &lt; 0.01). The number of scans with artifacts also decreased significantly, from 30 out of 748 scans in 2023 to 8 out of 885 scans in 2024 (<em>P</em> &lt; 0.01).</div></div><div><h3>Discussion</h3><div>The integration of ChatGPT-4o significantly improved communication between healthcare providers and patients, leading to better compliance with procedure instructions and fewer repeat scans. Training programs facilitated efficient use of the technology by radiographers, further improving workflow efficiency. Despite initial integration and acceptance challenges, patients and radiographers reported high satisfaction with the improved communication and reduced stress levels.</div></div><div><h3>Conclusion</h3><div>This study demonstrates that ChatGPT-4o real-time translation improved patient communication, procedure quality, and examination efficiency. The technology reduced examination times and increased patient throughput, with positive feedback from patients and radiographers, indicating its effectiveness in multilingual medical settings.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101781"},"PeriodicalIF":1.3,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current Alberta radiation therapy care practices for patients with obesity and recommendations for improvement","authors":"Kerry Lui ,&nbsp;Alyssa Morin ,&nbsp;Mackenzie Smith ,&nbsp;Graydon Yee ,&nbsp;Amanda Bolderston ,&nbsp;Jacqueline M. Middleton ,&nbsp;Tina Wu ,&nbsp;Winter Dixon","doi":"10.1016/j.jmir.2024.101768","DOIUrl":"10.1016/j.jmir.2024.101768","url":null,"abstract":"<div><h3>Introduction</h3><div>Obesity has been associated with increased incidence of cancer thereby impacting the number of patients with obesity who may require radiation therapy (RT) treatment. Previous studies have detailed the impacts of obesity on RT treatment delivery including considerations when positioning, imaging, and communicating with patients. However, there is limited literature regarding best clinical practices used by Canadian RT departments when treating patients with obesity. This study aimed to answer the following question: How can the current standards of care (SOC) used by Alberta RT departments be improved to ensure safe and quality care of patients with obesity?</div></div><div><h3>Methods</h3><div>Semi-structured interviews were conducted with 19 practitioners including three RT managers, two medical physicists, two clinical educators, two radiation oncologists, a senior practice lead, and nine radiation therapists from five cancer centers across Alberta. Interviews were transcribed and analyzed independently by two researchers and used to inform recommendations for improvement to existing care practices.</div></div><div><h3>Results</h3><div>Four themes emerged as unique considerations for patients with obesity undergoing RT, which included technical factors, interpersonal interactions, patient care factors, and education and training. Recommendations to improve the current SOC in Alberta RT departments included the need for longer appointment times, sufficient staff, accessible mobility equipment, and additional education and training for HCPs tailored towards patients with obesity.</div></div><div><h3>Conclusion</h3><div>SOC in Alberta could be improved for patients with obesity with modified appointment time, increased staff and resources, and more in depth and tailored education. Implementation of these considerations and recommendations for improvement to the current SOC used by Alberta RT departments has the potential to ensure safe and quality care of patients with obesity.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101768"},"PeriodicalIF":1.3,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perceptions of radiographers on reporting chest images at Public Hospitals in Malawi","authors":"George Simwaba ,&nbsp;Lynne Janette Hazell ,&nbsp;Jennifer Motto","doi":"10.1016/j.jmir.2024.101764","DOIUrl":"10.1016/j.jmir.2024.101764","url":null,"abstract":"<div><h3>Introduction</h3><div>Malawi health facilities' major challenge is inequalities in access to reporting services due to a shortage of radiologists to report on radiographic images. Radiographers in the developed world acquire formal training in image reporting, however, there is no postgraduate training programme in Malawi. Thus, there is a need to explore radiographers' perceptions of reporting chest images in Malawi's hospitals. The study aims to explore radiographers’ perceptions of being tasked with the responsibility of reporting on chest images at public hospitals in Malawi.</div></div><div><h3>Method</h3><div>The study was conducted through a quantitative cross-sectional design. Data was collected using a self-developed questionnaire. Data collected was analyzed with the assistance of a statistician using the Statistical Package for Social Scientists (SPSS) version 29. The measurement scales and questions included quantitative 10-point Likert. Statistical analysis used the Mann -Whitney U test.</div></div><div><h3>Results</h3><div>Seventy-one (71) radiographers representing 81 % of the total population from five public hospitals participated in the study. The results from this study found that most radiographers (97.2 %) agreed that radiographers needed to report on chest images in the department. Findings demonstrated that the majority of radiographers (80.3 %) supported ongoing professional development, and of the radiographers (78.9 %) also agreed that reporting on chest images required post-graduate training. Overall confidence in reporting chest images was 81.6 % with no difference by years worked as a qualified radiographer (p=0.196) with the less than 10 years were as confident to report chest images as 10 years or more . Confidence in detecting abnormality on chest images (78.8 %) demonstrated no variation by years worked as qualified radiographer (p=0. 196) or level in department (junior of senior radiographer (p =0.323). Perceived impact of radiographer's involvement in chest image reporting to improved cost effective service delivery, work efficiently, and potential impact on patient care and safety.</div></div><div><h3>Conclusion</h3><div>Based on the findings of this study, there were positive perceptions among the majority of radiographers about the reporting of chest images in Malawi. It was recommended that policymakers change Malawi's health care policy, especially the radiological sector to allow radiographers to report on chest images.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"56 1","pages":"Article 101764"},"PeriodicalIF":1.3,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142484374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of Stroke Onset Time Based on DINOv2 Visual Features","authors":"Dr Jin-jin Wang","doi":"10.1016/j.jmir.2024.101479","DOIUrl":"10.1016/j.jmir.2024.101479","url":null,"abstract":"<div><h3>Background</h3><div>Currently, the thrombolytic treatment for acute ischemic stroke (AIS) strictly depends on the time since stroke onset (TSS) being less than 4.5 hours. However, some patients are excluded from thrombolytic treatment due to uncertain TSS. Clinically, diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) mismatch are commonly used to roughly determine TSS.</div></div><div><h3>Methods</h3><div>In this paper, we propose a method based on DINOv2 to classify the TSS as less than or more than 4.5 hours. We conducted model training and external testing using case data from two hospitals. These hospitals respectively included 226 and 85 cases of TSS less than 4.5 hours, along with an equal number of cases with TSS greater than 4.5 hours. Firstly, we utilized DINOv2 for automatic segmentation of lesions and extraction of visual features from DWI and FLAIR images. Then, the visual features of the lesion area were input into four different machine learning models. Finally, a conclusion on whether the patient's onset time is more or less than 4.5 hours is reached through a weighted voting method.</div></div><div><h3>Results</h3><div>The results from the external test set show that in lesion segmentation from DWI and FLAIR images, the Dice coefficients were as high as 0.872 and 0.823, respectively. In the judgment of TTS less than 4.5 hours, our approach achieved an accuracy of 0.865, sensitivity of 0.843, and specificity of 0.902.</div></div><div><h3>Conclusion</h3><div>The assessment of TTS based on DINOv2 visual features demonstrates excellent performance. The results of this approach significantly surpass those of human doctors using the DWI-FLAIR mismatch method. Moreover, it achieves a fully automated process for rapid and efficient handling. This approach is expected to play a key role in treatment decision-making for patients with unknown TSS.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 3","pages":"Article 101479"},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Signal Power Estimation and its Novel Applications in Radiology as two birds with one stone","authors":"Dr. Motohiro Tabuchi","doi":"10.1016/j.jmir.2024.101480","DOIUrl":"10.1016/j.jmir.2024.101480","url":null,"abstract":"<div><h3>Background/Purpose</h3><div>In radiology, MTF and SNR (or CNR) are known as established methods for evaluating the quality of phantom images. However, due to their complexity caused by multiple procedures involved in measuring of multiple ROI statistics such as mean, variance, etc., this study proposes a simplified signal power estimation method calculated directly from a pair of observed images. Then, in this research, MTF* and SNR* utilizing this proposed method are introduced as novel applications.</div></div><div><h3>Methods</h3><div>First, two observed phantom images are prepared by using the same imaging condition. Then, a signal power of the image is estimated from a covariance of a pair of the observed images using the following equation. V(<strong><em>x</em></strong>) = Cov(<strong><em>y</em></strong>₁, <strong><em>y</em></strong>₂) where V(<strong>·</strong>) and Cov(<strong>·</strong>) denote a variance and a covariance of <strong>·</strong> respectively. Here, <strong><em>x</em></strong> is a signal image vector, and <strong><em>y</em></strong>₁ and <strong><em>y</em></strong>₂ are observed image vectors obtained under the same imaging conditions, where <strong><em>y</em></strong> is constructed from the signal vector <strong><em>x</em></strong> summated the additive noise vector <strong><em>n</em></strong>, namely <strong><em>y</em></strong> = <strong><em>x</em></strong> + <strong><em>n</em></strong>. Finally, MTF* and SNR* are calculated using the estimated signal power V(<strong><em>x</em></strong>). The proposed methods are then compared with the conventional methods.</div></div><div><h3>Results</h3><div>While a direct comparison between conventional SNR and SNR* proved difficult due to differences in definition, both methods showed similar trends. On the other hand, the conventional MTF by Droege's method and the MTF* were almost in agreement with two significant figures as expected.</div></div><div><h3>Conclusion</h3><div>This investigation proposed simplified method for estimating signal power derived from the covariance of a pair of observed images. And this proposed method produced novel applications termed MTF* and SNR*, and has an more practical than the conventional method in terms of simplified procedure as two birds with one stone.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 3","pages":"Article 101480"},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of image-guidance in proton and photon radiation therapy: Preliminary clinical experience","authors":"Miss Semaya Natalia Chen,&nbsp;Miss Sze Yarn Sin","doi":"10.1016/j.jmir.2024.101541","DOIUrl":"10.1016/j.jmir.2024.101541","url":null,"abstract":"<div><div>Proton therapy (PT) has a unique depth dose profile (Bragg peak), where it is more superior than IMRT in target volume dose coverage and lower OARs doses. Proton is more sensitive to density and contour changes along the traversed beam as these would affect Bragg peak dose deposition and overall dosimetry. Geometrical uncertainties are crucial in affecting dosimetry for both IMRT and PT, however more detrimental for the latter as they affect proton's penetration range. To minimize these uncertainties, image-guidance in PT is essential. Hence, we aim to compare PT and IMRT image-guidance based on our early PT clinical experiences. From June 2023 to January 2024, 74 patients (7 brain, 32 head-and-neck (HN), 10 thorax-abdo, 18 prostate and 7 paediatrics) received PT in our centre. PT clinical imaging experiences were compared with departmental IMRT imaging protocols. IMRT (orthogonal kV and/or CBCT) used bone-based and soft-tissue-based registration. Soft-tissue-based registration is inevitable in PT (CBCT) due to additional need to focus on overall contours. Thus, low-dose contours acting as beam shape surrogates are also implemented in PT image registration for evaluation of overall contour match along individual beam path. In brain and HN cases, matching criteria and correction strategies are similar for IMRT and PT. However, additional attention is given to shoulder positions, sinuses filling and contour variations in PT HN image verification. Prostate and liver cases used CBCT matching for both treatment techniques. Furthermore in PT, additional real-time fiducial tracking is utilised to reduce intra-fractional motion. Image-guidance enables accurate target-alignment and monitoring of anatomical/contour changes to trigger adaptive replanning if required. To achieve proton's superior robust plan, surrounding anatomical structures must constantly be in the same position as planned in addition to precise target-alignment. Thus, 3D-volumetric imaging and 6D correction strategies are highly relevant in PT compared to IMRT.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 3","pages":"Article 101541"},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the usefulness of the MV3D RECON technique with Bone Removal in CT Brain Angiography","authors":"Ms. Seunghui Lee","doi":"10.1016/j.jmir.2024.101530","DOIUrl":"10.1016/j.jmir.2024.101530","url":null,"abstract":"<div><h3>Purpose</h3><div>The reproducibility of blood vessels in MIP 3D reconstruction of DSA images in CT brain angiography may be limited due to various factors. This study aims to analyze the factors causing image quality degradation and to evaluate the usefulness of Modified Vascular 3D Reconstruction (MV3D Reconstruction) using the bone removal technique.</div></div><div><h3>Subjects and Methods</h3><div>This study analyzed a total of 115 patients (52 men and 53 women) who underwent CT brain angiography at our hospital from January 23, 2023, to December 31, 2023, and experienced reduced image quality due to artifact occurrence. The Somatom Definition Force (Siemens Healthcare, Forchheim, Germany) was used as the examination device, and Syngovia (Siemens Healthcare, Germany) for image post-processing and reconstruction. Patients were divided into two groups based on the artifact type: Group A (motion) and Group B (vein reflux). The vascular reproducibility of DSA 3D reconstruction images and MV3D reconstruction images was qualitatively evaluated using a 5-point Likert scale.</div></div><div><h3>Results</h3><div>As a result, when MV3D Reconstruction is applied, the reproducibility of group A is 35% and group B is more than 50%. (P&lt;0.01*)</div></div><div><h3>Conclusion</h3><div>Various factors contribute to the degradation of vascular image quality in CT brain angiography. The MV3D reconstruction method, incorporating the bone removal technique, improves the reproducibility of head and neck vascular images in cases of motion or venous reflux.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 3","pages":"Article 101530"},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiac magnetic resonance evaluation of epicardial adipose tissue in hemodialysis patients","authors":"Miss Qian Pu","doi":"10.1016/j.jmir.2024.101532","DOIUrl":"10.1016/j.jmir.2024.101532","url":null,"abstract":"<div><h3>Background</h3><div>Epicardial adipose tissue (EAT) is a predictor of cardiovascular risk in the general population. However, the value of EAT in hemodialysis patients has not been fully validated. The aim of this study was to evaluate the correlation between EAT and cardiac structure and function parameters in hemodialysis patients, and to explore the relationship between EAT and dialysis age.</div></div><div><h3>Methods</h3><div>Forty patients with chronic kidney disease undergoing regular hemodialysis and five healthy volunteers were enrolled prospectively. All participants underwent cardiac magnetic resonance scanning using balanced steady-state free precession sequence. Images included continuous short-axis views covering the entire left ventricle, two-, three- and four-chamber views. Ventricular function parameters and epicardial fat volume were obtained by post-processing software. On the short-axis cine stack, EAT was delineated from the most apical to basal level of left ventricle at end-diastole. Fat volume was calculated by modified Simpson's rule, with body surface area corrected for individual differences.</div></div><div><h3>Results</h3><div>Compared with healthy volunteers, EAT in hemodialysis patients was significantly higher (40.7 ± 5.5 ml/m² vs. 62.8 ± 17.3 ml/m², <em>P</em> &lt; 0.001). EAT was positively correlated with left ventricular end-systolic myocardial mass index (r = 0.59, <em>P</em> &lt; 0.001) and left ventricular end-diastolic myocardial mass index (r = 0.61, <em>P</em> &lt; 0.001). There was a negative correlation between EAT and left ventricular global radial strain (r = −0.33, <em>P</em> = 0.038). There was no significant correlation between EAT and hemodialysis age (<em>P</em> = 0.587), left ventricular ejection fraction (<em>P</em> = 0.086), right ventricular ejection fraction (<em>P</em> = 0.331).</div></div><div><h3>Conclusions</h3><div>Hemodialysis patients have more EAT. EAT was significantly correlated with myocardial mass and global radial strain. Further studies are needed to evaluate the value of EAT in predicting cardiovascular events in hemodialysis patients.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 3","pages":"Article 101532"},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Imaging Practices for ECMO-Supported Patients: Experiential Insights from Interdisciplinary Collaboration in Intensive Care","authors":"Mr. Benjamin Thiriat","doi":"10.1016/j.jmir.2024.101524","DOIUrl":"10.1016/j.jmir.2024.101524","url":null,"abstract":"<div><h3>Background/Purpose</h3><div>The utilization of ECMO (Extracorporeal Membrane Oxygenation) has surged in intensive care units, particularly amid the COVID-19 pandemic, presenting unique challenges for imaging services. This work aims to optimize practices and consolidate solutions based on experiential insights to address the complexities associated with ECMO patient care and imaging procedures.</div></div><div><h3>Methods</h3><div>Drawing from experiential knowledge and interdisciplinary collaboration, this retrospective analysis explores adaptations in patient handling and imaging protocol for individuals undergoing ECMO support. Insights were derived from multidisciplinary discussions and feedback, focusing on ECMO-specific considerations and scan acquisition nuances.</div></div><div><h3>Results</h3><div>Collaborative efforts between imaging and intensive care teams identified crucial adjustments in patient management to mitigate risks effectively. Furthermore, insights into ECMO configurations and their implications on imaging procedures contributed to a reduction in non-diagnostic scans, thereby enhancing patient care, albeit persistent challenges.</div></div><div><h3>Conclusion</h3><div>Through experiential learning and interdisciplinary collaboration, practices can be optimized to minimize non-diagnostic scans and associated risks in ECMO-supported patients. Continual refinement of protocols based on experiential insights is essential for improving patient outcomes in this complex clinical setting.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":"55 3","pages":"Article 101524"},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}