Clinical Imaging最新文献_第3页

Diagnostic performance of dual-energy CT in detecting bone marrow edema in lower limb joint injuries: a meta-analysis 双能 CT 检测下肢关节损伤骨髓水肿的诊断性能：荟萃分析

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-09-02 DOI: 10.1016/j.clinimag.2024.110273

{"title":"Diagnostic performance of dual-energy CT in detecting bone marrow edema in lower limb joint injuries: a meta-analysis","authors":"","doi":"10.1016/j.clinimag.2024.110273","DOIUrl":"10.1016/j.clinimag.2024.110273","url":null,"abstract":"<div><h3>Objective</h3><p>We aimed to evaluate the diagnostic performance of dual-energy computed tomography (DECT) in detecting bone marrow edema (BME) in patients with lower limb joint injuries.</p></div><div><h3>Methods</h3><p>A thorough literature search was conducted across the PubMed, Embase, and Web of Science databases to identify relevant studies up to April 2024. Studies examining the diagnostic performance of DECT in detecting BME in lower limb joint injuries patients were included. Sensitivity and specificity were evaluated using the inverse variance method and transformed via the Freeman-Tukey double arcsine transformation. Furthermore, the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was utilized to evaluate the methodological quality of the included studies.</p></div><div><h3>Results</h3><p>This meta-analysis included 17 articles involving 625 patients. The pooled sensitivity, specificity, and AUC for DECT in detecting BME in lower limb joint injuries patients were 0.82 (95 % CI: 0.76–0.87), 0.95 (95 % CI: 0.92–0.97), and 0.95 (95 % CI: 0.93–0.97), respectively. The pooled sensitivity of DECT for detecting BME in knee, hip, and ankle joint injuries was 0.80, 0.84, and 0.80, with no significant difference among these joints (<em>P</em> = 0.55). The pooled specificity for knee, hip, and ankle injuries was 0.95, 0.97, and 0.89. Specificity differed significantly among the joints (<em>P</em> < 0.01), with the highest specificity in hip injuries.</p></div><div><h3>Conclusions</h3><p>Our meta-analysis indicates that DECT demonstrates high diagnostic performance in detecting BME in patients with lower limb joint injuries, with the highest specificity observed in hip joint injuries. To validate these findings, further larger prospective studies are necessary.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of accumulating experience on diagnostic performance of VI-RADS in bladder cancer 经验积累对膀胱癌 VI-RADS 诊断性能的影响。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-09-02 DOI: 10.1016/j.clinimag.2024.110279

{"title":"Effect of accumulating experience on diagnostic performance of VI-RADS in bladder cancer","authors":"","doi":"10.1016/j.clinimag.2024.110279","DOIUrl":"10.1016/j.clinimag.2024.110279","url":null,"abstract":"<div><h3>Purpose</h3><p>MRI-based VI-RADS score aids in differentiating MIBC and NMIBC, but the experience's impact remains unexplored. We aimed to determine the effect of accumulating experience in the diagnostic performance of VI-RADS.</p></div><div><h3>Methods</h3><p>In our previously published series 71 primary bladder cancer patients who underwent multiparametric MRI before the transurethral resection were analyzed. The radiologist who assessed the VI-RADS scores at the time the study was performed, re-evaluated all cases after 3 years, in a blinded fashion. During these three years, more than 300 additional bladder MRIs were performed for VI-RADS assessment. The diagnostic performances of the initial and subsequent VI-RADS analyses were compared. Moreover, VIRADS results obtained by a newly trained abdominal radiologist was also compared with experienced radiologist's results. For this study, VI-RADS ≥3 was accepted for predicting MIBC.</p></div><div><h3>Results</h3><p>Overall 71 patients [62 (87.3 %) males, 67.4 ± 10.2 years] who underwent bladder MRI before TURBT were included. Histopathology revealed MIBC in 16 (26.2 %) cases.</p><p>The initial MRI analysis revealed VI-RADS score ≥ 3 in 36 (50.7 %) cases. The sensitivity and specificity for depicting MIBC were 75 % and 56.4 % respectively. The subsequent MRI analysis revealed VI-RADS score ≥ 3 in 23 (32.4 %) cases. The sensitivity and specificity were 93.8 % and 85.5 % respectively. The MRI analysis performed by the recently trained abdominal radiologist revealed VI-RADS score ≥ 3 in 24 (33.8 %) cases. The sensitivity and specificity were 87.5 % and 56.4 % respectively.</p></div><div><h3>Conclusion</h3><p>The diagnostic performance of VI-RADS for the interpretation of bladder MRI can improve over time by increasing the experience of the urogenital radiologist.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142146780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

I saw the “hot cross bun” sign: a knead-to-know finding 我看到了 "热十字包 "的标志：一个揉捏后的发现

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-09-02 DOI: 10.1016/j.clinimag.2024.110274

引用次数: 0

Use of a radiology tool for the diagnosis of pulmonary fibrosis 使用放射学工具诊断肺纤维化

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-09-02 DOI: 10.1016/j.clinimag.2024.110277

{"title":"Use of a radiology tool for the diagnosis of pulmonary fibrosis","authors":"","doi":"10.1016/j.clinimag.2024.110277","DOIUrl":"10.1016/j.clinimag.2024.110277","url":null,"abstract":"<div><h3>Objective</h3><p>The purpose of this paper was to perform an exploratory reader study to assess the utility of a web-based application in assisting non-chest radiologist in correctly diagnosing the radiographic pattern of pulmonary fibrosis.</p></div><div><h3>Methods</h3><p>Three non-chest radiologists with 5 to 20 years of experience individually reviewed 3 rounds of randomly chosen chest CT scans (round 1: 100 scans, round 2: 50 scans, round 3: 25 scans) from a list of patients with established diagnosis of pulmonary fibrosis. In round 1, radiologists were asked to directly record their diagnosis for the pattern of fibrosis. In round 2 and 3 they were asked to review for features provided in a web-based application and provide diagnosis based on the most likely predicted diagnosis from the application. There was an approximate 1-month interval and relevant tutorials were provided between each round. Diagnosis accuracy is reported by readers at each round.</p></div><div><h3>Results</h3><p>The overall accuracy increased from 63 % (<em>n</em> = 188/299) in round 1 to 74 % in round 3 (<em>n</em> = 52/70) (<em>p</em> = 0.0265). Difficulty in recognition of mosaic attenuation and homogeneous has led to misdiagnosis. Refining the definition for feature homogeneous increased the diagnosis accuracy of NSIP from 42 % (<em>n</em> = 20/48) in round 2 to 65 % (<em>n</em> = 24/37) in round 3(<em>p</em> = 0.0179). The Fleiss Kappa across readers varied from Round 1 to Round 3 with values <em>0.36 to 0.42</em>.</p></div><div><h3>Conclusions</h3><p>Using the web-based application with refined definition for feature homogeneous helps to improve the non-subspecialty radiologist's accuracy in diagnosing different types of fibrosis.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comment on “Evaluation of responses to cardiac imaging questions by the artificial intelligence large language model ChatGPT” 关于 "人工智能大型语言模型 ChatGPT 对心脏成像问题回答的评估 "的评论。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-09-01 DOI: 10.1016/j.clinimag.2024.110272

引用次数: 0

Can large language models be new supportive tools in coronary computed tomography angiography reporting? 大型语言模型能否成为冠状动脉计算机断层扫描血管造影报告的新辅助工具？

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-31 DOI: 10.1016/j.clinimag.2024.110271

{"title":"Can large language models be new supportive tools in coronary computed tomography angiography reporting?","authors":"","doi":"10.1016/j.clinimag.2024.110271","DOIUrl":"10.1016/j.clinimag.2024.110271","url":null,"abstract":"<div><p>The advent of large language models (LLMs) marks a transformative leap in natural language processing, offering unprecedented potential in radiology, particularly in enhancing the accuracy and efficiency of coronary artery disease (CAD) diagnosis. While previous studies have explored the capabilities of specific LLMs like ChatGPT in cardiac imaging, a comprehensive evaluation comparing multiple LLMs in the context of CAD-RADS 2.0 has been lacking. This study addresses this gap by assessing the performance of various LLMs, including ChatGPT 4, ChatGPT 4o, Claude 3 Opus, Gemini 1.5 Pro, Mistral Large, Meta Llama 3 70B, and Perplexity Pro, in answering 30 multiple-choice questions derived from the CAD-RADS 2.0 guidelines. Our findings reveal that ChatGPT 4o achieved the highest accuracy at 100 %, with ChatGPT 4 and Claude 3 Opus closely following at 96.6 %. Other models, including Mistral Large, Perplexity Pro, Meta Llama 3 70B, and Gemini 1.5 Pro, also demonstrated commendable performance, though with slightly lower accuracy ranging from 90 % to 93.3 %. This study underscores the proficiency of current LLMs in understanding and applying CAD-RADS 2.0, suggesting their potential to significantly enhance radiological reporting and patient care in coronary artery disease. The variations in model performance highlight the need for further research, particularly in evaluating the visual diagnostic capabilities of LLMs—a critical component of radiology practice. This study provides a foundational comparison of LLMs in CAD-RADS 2.0 and sets the stage for future investigations into their broader applications in radiology, emphasizing the importance of integrating both text-based and visual knowledge for optimal clinical outcomes.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dr. Carolyn Meltzer: Pioneer, innovator, mentor, and 2023 ACR Gold Medal winner 卡罗琳-梅尔策博士：先驱者、创新者、导师和 2023 年 ACR 金奖得主。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-30 DOI: 10.1016/j.clinimag.2024.110270

引用次数: 0

The science and practice of imaging-based screening: What the radiologist needs to know 影像筛查的科学与实践：放射科医生须知

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-22 DOI: 10.1016/j.clinimag.2024.110266

{"title":"The science and practice of imaging-based screening: What the radiologist needs to know","authors":"","doi":"10.1016/j.clinimag.2024.110266","DOIUrl":"10.1016/j.clinimag.2024.110266","url":null,"abstract":"<div><p>Imaging-based screening is an important public health focus and a fundamental part of Diagnostic Radiology. Hence, radiologists should be familiar with the concepts that drive imaging-based screening practice including goals, risks, biases and clinical trials. This review article discusses an array of imaging-based screening exams including the key epidemiology and evidence that drive screening guidelines for abdominal aortic aneurysm, breast cancer, carotid artery disease, colorectal cancer, coronary artery disease, lung cancer, osteoporosis, and thyroid cancer. We will provide an overview on societal interests in screening, screening-related inequities, and opportunities to address them. Emerging evidence for opportunistic screening and the role of AI in imaging-based screening will be explored. In-depth knowledge and formalized training in imaging-based screening strengthens radiologists as clinician scientists and has the potential to broaden our public health leadership opportunities.</p></div><div><h3>Summary sentence</h3><p>An overview of key screening concepts, the evidence that drives today's imaging-based screening practices, and the need for radiologist leadership in screening policies and evidence development.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictors of discordance between CT-derived fractional flow reserve (CT-FFR) and △CT-FFR in deep coronary myocardial bridging 冠状动脉深层心肌桥接中 CT 导出的分数血流储备（CT-FFR）与△CT-FFR 不一致的预测因素

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-21 DOI: 10.1016/j.clinimag.2024.110264

{"title":"Predictors of discordance between CT-derived fractional flow reserve (CT-FFR) and △CT-FFR in deep coronary myocardial bridging","authors":"","doi":"10.1016/j.clinimag.2024.110264","DOIUrl":"10.1016/j.clinimag.2024.110264","url":null,"abstract":"<div><h3>Objective</h3><p>To compare the performance between CT-derived fractional flow reserve (CT-FFR) and ΔCT-FFR measurements in patients with deep myocardial bridging (MB) along the left anterior descending artery, and explore the potential predictors of discordance.</p></div><div><h3>Methods</h3><p>175 patients with deep MB who underwent coronary computed tomography angiography (CCTA) and CT-FFR assessment were included. Clinical, anatomical and atherosclerotic variables were compared between patients with concordant and discordant CT-FFR and ΔCT-FFR.</p></div><div><h3>Results</h3><p>30.9 % patients were discordantly classified, in which 94.4 % patients were classified as CT-FFR+/△CT-FFR-. The discordant group showed significantly higher upstream stenosis degree, distance from MB to the aorta, △CT-FFR (<em>P</em> 0.007, 0.009 and 0.002, respectively), and lower CT-FFR (<em>P</em> < 0.001). In multivariate analysis, upstream stenosis degree (<em>P</em> 0.023, OR 1.628, 95 % CI: 1.068–2.481) and distance from MB to the aorta (<em>P</em> 0.001, OR 1.04, 95 % CI: 1.016–1.064) were independent predictors for discordance between CT-FFR and ΔCT-FFR.</p></div><div><h3>Conclusion</h3><p>The discordance between CT-FFR and ΔCT-FFR measurements underscores the challenges in clinical decision-making, necessitating tailored approaches for MB evaluation.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

“One a penny, two a penny”, I saw the hot cross bun sign” "一分钱，两分钱"，我看到了热十字包的标志"

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-14 DOI: 10.1016/j.clinimag.2024.110251

引用次数: 0