Current Problems in Diagnostic Radiology最新文献

{"title":"FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review","authors":"Pranav Ajmera ,&nbsp;Ryan Dillard ,&nbsp;Timothy Kline ,&nbsp;Andrew Missert ,&nbsp;Panagiotis Korfiatis ,&nbsp;Ashish Khandelwal","doi":"10.1067/j.cpradiol.2025.04.011","DOIUrl":"10.1067/j.cpradiol.2025.04.011","url":null,"abstract":"<div><h3>Purpose</h3><div>This review aims to provide a comprehensive overview of the transformative impact of FDA-approved artificial intelligence (AI) products in abdominal imaging<span>. It explores the evolution of AI in radiology, its rigorous FDA clearance process, and its role in revolutionizing diagnostic and non-diagnostic tasks across various abdominal organs.</span></div></div><div><h3>Methods</h3><div>Through a review of literature, this study categorizes AI products based on their applications in liver, prostate, bladder, kidney, and overall abdominal imaging. It analyzes the diagnostic and non-diagnostic functionalities of these AI solutions, elucidating their capabilities in enhancing disease detection, image quality, workflow efficiency, and longitudinal comparison standardization.</div></div><div><h3>Results</h3><div>The review identifies numerous FDA-approved AI products tailored for abdominal imaging, showcasing their diverse applications, from lesion detection and characterization to volume estimation and quantification of organ health parameters. These AI solutions have demonstrated their efficacy in improving diagnostic accuracy, streamlining radiological workflows, and ultimately optimizing patient care across various abdominal pathologies.</div></div><div><h3>Conclusion</h3><div>In conclusion, the integration of AI into abdominal imaging represents a paradigm shift in modern radiology. By empowering radiologists with advanced tools for timely diagnosis, precise treatment planning, and improved patient outcomes, FDA-approved AI products herald a new era of innovation in abdominal imaging. Collaboration between developers, regulatory bodies, and the medical community will be paramount in harnessing the full potential of AI to reshape the future of abdominal radiology.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 258-267"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060409","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":"Diagnostic performance of diffusion weighted imaging for early response assessment after Y-90 transarterial radioembolization of Hepatocellular Carcinoma (HCC) – A systematic review and meta-analysis","authors":"Liang Meng Loy ,&nbsp;Sanchalika Acharyya ,&nbsp;Hsien Min Low ,&nbsp;Uei Pua ,&nbsp;Cher Heng Tan","doi":"10.1067/j.cpradiol.2025.08.006","DOIUrl":"10.1067/j.cpradiol.2025.08.006","url":null,"abstract":"<div><h3>Objective</h3><div>To systematically determine the diagnostic performance of diffusion weighted imaging (DWI) in early imaging assessment following Y-90 transarterial radioembolization (TARE) of HCC.</div></div><div><h3>Materials and methods</h3><div>Searches were conducted in PubMed and Cochrane library electronic databases up to July 2024 to identify original studies that reported the diagnostic performance of DWI/apparent diffusion coefficient (DWI/ADC) for assessing early treatment response following TARE. The summary measures of diagnostic accuracy were estimated using bivariate random effect meta-analysis.</div></div><div><h3>Results</h3><div>Our search identified 194 titles, of which 5 studies with data from 104 patients were included in the meta-analysis. The pooled sensitivity and specificity were 0.90 (95%-confidence interval [CI] 0.75,0.96) and 0.81 (95%-CI 0.58,0.92) with a diagnostic odds ratio (DOR) of 45.4 (95% CI 10.2, 132). The area under the summary receiver-operating characteristic curve was 0.919 (95%-CI 0.708,0.924). Exploratory analysis of predictive values projected DWI/ADC to have a NPV of 46.4% (95%-CI 26.8%,69.4%) and projected PPV of 97.6% (95%-CI 95.1%,99.0%), assuming a 90% treatment response rate. The diagnostic performance for early response assessment was comparable with that of traditional imaging criteria reported in literature.</div></div><div><h3>Conclusion</h3><div>Restricted diffusion has high diagnostic accuracy in early response assessment after TARE. Our study validates the inclusion of restricted diffusion as an ancillary criterion in the LI-RADS TR 2024 algorithm for radiation-based treatment.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 234-241"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144983585","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":"Can CT esophagogram replace fluoroscopic assessment of suspected esophageal leaks after hours without compromising patient safety? Our 6 year multicenter experience","authors":"Minal Jagtiani,&nbsp;Rajat Bhargava,&nbsp;Christopher Mejias,&nbsp;Charles Watt,&nbsp;Puneet Bhargava","doi":"10.1067/j.cpradiol.2025.10.010","DOIUrl":"10.1067/j.cpradiol.2025.10.010","url":null,"abstract":"<div><div>Modality of choice for imaging diagnosis of esophageal leaks out of hours has been a dilemma with increasing backlogs and workflow logistics. We highlight our review of current institutional practice and describe the challenges encountered, assessing interchangeability of CT with fluoroscopy to accurately assess for esophageal perforation in recent times.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 185-187"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145427245","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":"Integrating programmable mice to improve ergonomics and workflow in radiology residency: A quality improvement initiative","authors":"Jay Yu MD MS,&nbsp;Jacob Elam MD,&nbsp;Alden Wyland MD,&nbsp;Ramandeep Singh MD,&nbsp;Theodore Donta MD PhD,&nbsp;Catherine Metz MD","doi":"10.1067/j.cpradiol.2025.10.009","DOIUrl":"10.1067/j.cpradiol.2025.10.009","url":null,"abstract":"<div><h3>Rationale and Objectives</h3><div>Radiology residents spend prolonged hours at computer workstations, often leading to ergonomic strain and workflow inefficiency. Programmable mice, commonly used in high-performance computing, may enhance ergonomics and support learning. This study evaluated their perceived impact in graduate medical education.</div></div><div><h3>Materials and Methods</h3><div>As part of a quality-improvement initiative at a large academic radiology residency program, 16 residents (primarily PGY-2 and PGY-3, with one PGY-4) received programmable mice. Pre- and post-intervention surveys (September 2024, April 2025) assessed usage, adaptation, ergonomics, workflow, and perceived learning support. Institutional exam-volume data were reviewed to provide contextual information on resident workload during the study period.</div></div><div><h3>Results</h3><div>All residents completed both surveys (100 % follow-up). Nearly all (94 %) used the mouse daily and adapted within four weeks. Residents reported perceived improvements in ergonomics (88 %), workflow (88 %), and learning (88 %). Reported learning support significantly exceeded initial expectations (50 % vs. 88 %, p = 0.02). All participants preferred the programmable mouse over the standard model. Call-taking residents completed approximately 4.9 % more on-call exams than the prior-year cohort, indicating stable or modestly improved throughput during the intervention period.</div></div><div><h3>Conclusion</h3><div>Programmable mice were rapidly adopted and perceived to improve comfort, workflow, and learning support among radiology residents. These findings suggest that programmable mice represent a low-cost, scalable intervention to enhance ergonomics and support the educational transition in radiology training.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 206-209"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423678","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":"CT imaging of pulmonary artery aneurysms in the emergency department – What you need to know","authors":"Mohammad Yasrab MD,&nbsp;Charles K. Crawford BS,&nbsp;Elliot K. Fishman MD,&nbsp;Satomi Kawamoto MD","doi":"10.1067/j.cpradiol.2025.05.004","DOIUrl":"10.1067/j.cpradiol.2025.05.004","url":null,"abstract":"<div><div>Pulmonary artery (PA) aneurysms are rare vascular abnormalities with potentially life-threatening complications such as rupture, massive hemoptysis, and pulmonary infarction. These conditions are often asymptomatic and incidentally detected but can present with nonspecific symptoms like cough, dyspnea, or hemoptysis in an emergency setting. Multidetector CT pulmonary angiography (CTPA) has outshone traditional angiography, supplemented by advanced 3D post-processing techniques such as maximum intensity projection (MIP), volumetric rendering (VR), and cinematic rendering (CR) techniques, playing a pivotal role in diagnosis and management of PA aneurysms. This pictorial essay reviews eight cases of PA aneurysms and pseudoaneurysms, exploring their diverse etiologies, imaging findings, and the application of 3D imaging to enhance diagnostic confidence and procedural planning. Through these cases, we highlight the critical role of advanced imaging and post-processing reconstructions in the timely identification and treatment of these rare but high-risk vascular entities in the emergency setting.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 290-297"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144145131","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 contrast enhanced mammography: A comprehensive review of artefacts, causes, and remedies","authors":"Dr. Veenu Singla MD,&nbsp;Dr. Dollphy Garg MD,&nbsp;Bhavith N P, MBBS","doi":"10.1067/j.cpradiol.2025.05.001","DOIUrl":"10.1067/j.cpradiol.2025.05.001","url":null,"abstract":"<div><div>Contrast enhanced mammography (CEM) is a promising imaging technique in breast imaging, combining efficiency and cost-effectiveness with the ability to provide structural as well as functional information. However, like all imaging modalities, CEM is prone to artifacts that can occur at various stages of the process, including patient preparation, image acquisition, equipment calibration, and digital subtraction. Recognising and rectifying these artifacts is essential for achieving optimal image quality and accurate diagnosis. The purpose of this article is to familiarise the readers with common artifacts encountered during CEM and minimise their impact on image interpretation, with a focus on strategies for optimising CEM imaging. We have also described a few previously uncharted CEM-specific artifacts observed in our clinical experience. Additionally, this review highlights major pitfalls encountered during CEM reporting and measures to improve diagnostic accuracy.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 273-289"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144027750","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":"Socioeconomic and demographic predictors of transarterial chemoembolization outcomes for hepatic malignancies","authors":"Aaron Chafitz MD ,&nbsp;Rohan Makhiani MD ,&nbsp;Erin Niederkohr BS ,&nbsp;Ian Tarnovsky BS ,&nbsp;Noah Takacs BS ,&nbsp;Xualing Pan PhD ,&nbsp;Mina S. Makary MD","doi":"10.1067/j.cpradiol.2025.08.009","DOIUrl":"10.1067/j.cpradiol.2025.08.009","url":null,"abstract":"<div><h3>Rationale and Objectives</h3><div>This study aimed to evaluate the socioeconomic and demographic factors that predict overall survival (OS) and progression-free survival (PFS) of patients undergoing transarterial chemoembolization (TACE) for primary and metastatic hepatic disease.</div></div><div><h3>Materials and Methods</h3><div>Retrospective review from 2016 to 2022 identified 322 patients with hepatocellular carcinoma (HCC) (<em>n</em> = 234) and metastatic liver lesions (<em>n</em> = 98), treated with TACE. Patients were stratified by demographic factors, including mean income, insurance status, race, and social vulnerability index (SVI), a Center for Disease control (CDC) composite measure from geographic census data. Primary outcomes measures included OS and PFS. Correlation, multivariate regression<u>,</u> and Kaplan Meier analyses were performed.</div></div><div><h3>Results</h3><div>Of the studied population, 67 % were male, 85 % were White, and 62 % had Medicare coverage, with a mean age of 64 years. Mean OS was 25.6 months<u>,</u> and PFS was 19.9 months. The liver-specific disease progression rate and overall mortality rate were 71.7 % and 56.9 %, respectively. Lower SVI group, indicating less social vulnerability, was positively correlated with OS (<em>p</em> = 0.033)<u>,</u> and a similar trend was observed for PFS (<em>p</em> = 0.0676) in the overall population. Co-variate analysis demonstrated statistically significant relationship between SVI and OS (HR=3.880, <em>p</em> = 0.01), controlling for underlying disease (HCC vs. metastatic disease) and baseline health characteristics.</div></div><div><h3>Conclusions</h3><div>Findings highlight underexplored relationships between social factors and treatment outcomes, revealing SVI as a predictive factor of OS following TACE. Further work is warranted to better understand disparities associated with procedural interventions to target mitigation strategies.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 242-246"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144983741","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":"Patient decision aids (PDA): An opportunity in radiology","authors":"Nadja Kadom MD, FACR ,&nbsp;Julia E. Goldberg MD, MBA ,&nbsp;Matthew D. Cham MD ,&nbsp;Robin E. Wyatt ,&nbsp;Kerry L Thomas MD, FSAR ,&nbsp;Karen E Gerlach MD. MS. MBA ,&nbsp;Erin Gomez MD ,&nbsp;Nina S. Vincoff MD","doi":"10.1067/j.cpradiol.2025.10.006","DOIUrl":"10.1067/j.cpradiol.2025.10.006","url":null,"abstract":"","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 200-205"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145533838","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":"A cross-sectional review on the demographics and characteristics of interventional radiology residency program directors in the United States","authors":"John Cacciatore ,&nbsp;Levi Travis ,&nbsp;Emilio Roig ,&nbsp;Stephanie Gonzalez ,&nbsp;Lindsay Thornton ,&nbsp;Shree Venkat","doi":"10.1067/j.cpradiol.2025.10.015","DOIUrl":"10.1067/j.cpradiol.2025.10.015","url":null,"abstract":"<div><div>Program directors (PDs) oversee training and generously provide their time to mentorship. Cultural competency and diverse mentorship may better prepare doctors while increasing student interest. This study examines PD demographic data in IR, noting changes from 2020 to 2023. A list of IR PDs for IR programs was obtained from the ACGME. Duplicates were removed. Public websites were searched to collect age, sex, ethnicity, training, and research metrics (RM). Descriptive statistics were made for demographic data and analyzed. There were 114 unique IR PDs. By sex, 18.4 % were female. Mean age was 42.7. Of the 114, 79 had ethnic data, the most common being non-Hispanic white (54.5 %) and the least common were Hispanic (2.5 %) and Black (3.5 %). Only 2.6 % held DO degrees. In 2020, 12 % of PDs were female. In 2019, 17.8 % of trainees were female and 11.3 % were ethnicities under-represented in medicine (3.1 % Black, 8.2 % Hispanic). From 2020 to 2023, the proportion of women PDs increased by 6.4 % surpassing 2019′s 17.8 % of female trainees. Strictly comparing URM, the 7.7 % PDs has not yet met 2019′s 11.3 % of URM IR trainees. However, diversity has increased as Asian and Middle Eastern PDs account for 37.2 %, a greater than 10 % increase from 2019′s trainees. PD diversity may reflect trends in overall IR diversity. The increase in diverse PDs thus far is promising. Increased PD diversity may garner diverse student interest and provide better trained physicians.</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 247-252"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145403036","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":"Manuscript title: Impact of vessel suppression AI on reading efficiency and nodule detection in CT chest","authors":"Kevin T. Chorath MD ,&nbsp;Evan Jacobs ,&nbsp;Ken Tharp MD ,&nbsp;Charles Watt MS ,&nbsp;Brian W. Bresnahan PhD ,&nbsp;Jonathan R. Medverd MD ,&nbsp;Nathan M. Cross MD ,&nbsp;Hamid Chalian MD","doi":"10.1067/j.cpradiol.2025.11.003","DOIUrl":"10.1067/j.cpradiol.2025.11.003","url":null,"abstract":"<div><h3>Background</h3><div>Vessel suppression (VS) software enhances pulmonary nodule conspicuity by attenuating vascular and fissural structures, but real-world impact on clinical workflows remains uncertain.</div></div><div><h3>Methods</h3><div>We retrospectively analyzed 8,835 chest CT examinations (January 2023–February 2024) interpreted at a single academic institution, comparing pre- and post-VS implementation. Reads by residents and faculty were assessed separately. Outcomes included interpretation time and pulmonary nodule detection, extracted using natural language processing with manual validation.</div></div><div><h3>Results</h3><div>Among residents, mean read time decreased from 19.1 to 12.2 minutes (p&lt;0.001), with improved detection of punctate nodules (13.0% vs 24.2%, p&lt;0.001). Faculty showed reduced mean read time (6.6 vs 5.2 minutes, p&lt;0.001) and modest improvement in punctate nodule detection (26.0% vs 29.5%, p=0.042).</div></div><div><h3>Conclusion</h3><div>VS improved reading efficiency for both trainees and faculty and substantially increased small-nodule detection among residents and attending radiologists. While the clinical significance of detecting sub-2 mm nodules remains uncertain, efficiency gains support the value of VS in high-volume and training environments. Further study is warranted to define downstream clinical impact and guide management of incidentally detected small nodules</div></div>","PeriodicalId":51617,"journal":{"name":"Current Problems in Diagnostic Radiology","volume":"55 2","pages":"Pages 178-180"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145752448","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}