Radiology最新文献

{"title":"Pediatric Thyroid Nodules: K-TIRADS/ACR TI-RADS Pediatric-Specific Biopsy Cutoff Incorporating Clinical Risk Factors.","authors":"Da Hye Lee, Yeon Jin Cho, Jae-Kyung Won, Seul Bi Lee, Young Hun Choi, Kyeong Cheon Jung, Young Joo Park, Yun Jeong Lee, Choong Ho Shin, Young Ah Lee","doi":"10.1148/radiol.241015","DOIUrl":"https://doi.org/10.1148/radiol.241015","url":null,"abstract":"<p><p>Background Pediatric thyroid nodules have a higher malignancy rate than adult nodules; yet, a pediatric-specific biopsy cutoff is lacking. Purpose To investigate the usefulness of repeat biopsy and a pediatric-specific biopsy cutoff incorporating risk factors to improve the diagnostic performance of the 2021 Korean Thyroid Imaging Reporting and Data System (K-TIRADS) and American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS). Materials and Methods US images of biopsy-confirmed pediatric thyroid nodules obtained at Seoul National University Hospital between January 2010 and December 2021 were retrospectively analyzed. The diagnostic performance of the aforementioned systems with the incorporation of risk factors (Hashimoto thyroiditis, previous radiation therapy, family history of thyroid cancer, or hereditary tumor syndrome) was evaluated. The McNemar test and the weighted generalized score statistic were used. Results Two hundred patients (median age, 16 years [IQR, 13-18 years]; 153 female; 17 children [age, <10 years] and 183 adolescents [age, 10-19 years]; 92 with risk factors) with 223 nodules (142 malignant nodules [64% of total nodules; 86% of 166 resected nodules]) were analyzed. Repeat biopsies owing to large size, interval growth, or category 4 and 5 revealed that six of 21 nodules (29%) initially categorized as benign were malignant postoperatively. Compared with the current guidelines, a modified K-TIRADS/ACR TI-RADS pediatric-specific biopsy cutoff (0.5 cm and 1.5 cm for category 4 nodules with and without risk factors, respectively, and 0.5 cm for all category 5 nodules) improved the sensitivity (85% [121 of 142] vs 78% [111 of 142] for K-TIRADS; 84% [119 of 142] vs 60% [85 of 142] for ACR TI-RADS; both <i>P</i> < .005) and missed malignancy rate (33% [21 of 64] vs 39% [31 of 79]; 30% [23 of 76] vs 46% [57 of 122]; both <i>P</i> < .05) for both systems and accuracy for ACR TI-RADS (74% [164 of 223] vs 71% [159 of 223]; 77% [172 of 223] vs 67% [150 of 223]; <i>P</i> = .30 and <i>P</i> = .002, respectively). Conclusion Applying a 0.5-cm biopsy cutoff in pediatric patients improved diagnostic performance for both category 4 nodules with risk factors and category 5 nodules. Repeat biopsy was required for pediatric thyroid nodules with discordant clinical and US findings. © RSNA, 2025 <i>Supplemental material is available for this article</i>.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e241015"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144317800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the AI Landscape in Medical Imaging: A Critical Analysis of Technologies, Implementation, and Implications.","authors":"Jacob Sosna, Leo Joskowicz, Mor Saban","doi":"10.1148/radiol.240982","DOIUrl":"10.1148/radiol.240982","url":null,"abstract":"<p><p>The growing volume and complexity of medical imaging outpaces the available radiologist workforce, risking timely diagnosis. Comprehensive artificial intelligence (AI) that integrates multimodal imaging data, clinical notes, and large language models has the potential to support radiologists. Accordingly, the U.S. Food and Drug Administration has cleared more than 770 AI medical devices that focus on radiology, primarily based on deep learning. However, algorithm development and validation remain challenging. Limitations include sparse expert-annotated data and regulatory hurdles. Clinical implementation and the adaptation of the radiologic community is also lagging behind. Additionally, technical barriers exist regarding data availability, large language model explainability, deep learning model generalization, and clinical integration. Advances in few-shot learning, self-supervised models, and centralized platforms may support consolidated AI ecosystems. Although progress has been made, much work is still needed on data infrastructure, responsible clinical translation, and workflow integration. Continuous multidisciplinary efforts are required to optimize AI safety and truly augment radiologists' work through comprehensive solutions. By overcoming the remaining challenges, AI may strengthen health care systems through improved diagnosis. This review addresses integration challenges, pathways for responsible progress, and the viewpoints of all stakeholders.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e240982"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144476525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Breast MRI Scanning Using AI.","authors":"Sarah Eskreis-Winkler, Arka Bhowmik, Lori H Kelly, Roberto Lo Gullo, Donna D'Alessio, Kristin Belen, Molly P Hogan, Nicole B Saphier, Varadan Sevilimedu, Janice S Sung, Christopher E Comstock, Elizabeth J Sutton, Katja Pinker","doi":"10.1148/radiol.242924","DOIUrl":"10.1148/radiol.242924","url":null,"abstract":"<p><p>Background MRI protocols typically involve many imaging sequences and often require too much time. Purpose To simulate artificial intelligence (AI)-directed stratified scanning for screening breast MRI with various triage thresholds and evaluate its diagnostic performance against that of the full breast MRI protocol. Materials and Methods This retrospective reader study included consecutive contrast-enhanced screening breast MRI examinations performed between January 2013 and January 2019 at three regional cancer sites. In this simulation study, an in-house AI tool generated a suspicion score for subtraction maximum intensity projection images during a given MRI examination, and the score was used to determine whether to proceed with the full MRI protocol or end the examination early (abbreviated breast MRI [AB-MRI] protocol). Examinations with suspicion scores under the 50th percentile were read using both the AB-MRI protocol (ie, dynamic contrast-enhanced MRI scans only) and the full MRI protocol. Diagnostic performance metrics for screening with various AI triage thresholds were compared with those for screening without AI triage. Results Of 863 women (mean age, 52 years ± 10 [SD]; 1423 MRI examinations), 51 received a cancer diagnosis within 12 months of screening. The diagnostic performance metrics for AI-directed stratified scanning that triaged 50% of examinations to AB-MRI versus full MRI protocol scanning were as follows: sensitivity, 88.2% (45 of 51; 95% CI: 79.4, 97.1) versus 86.3% (44 of 51; 95% CI: 76.8, 95.7); specificity, 80.8% (1108 of 1372; 95% CI: 78.7, 82.8) versus 81.4% (1117 of 1372; 95% CI: 79.4, 83.5); positive predictive value 3 (ie, percent of biopsies yielding cancer), 23.6% (43 of 182; 95% CI: 17.5, 29.8) versus 24.7% (42 of 170; 95% CI: 18.2, 31.2); cancer detection rate (per 1000 examinations), 31.6 (95% CI: 22.5, 40.7) versus 30.9 (95% CI: 21.9, 39.9); and interval cancer rate (per 1000 examinations), 4.2 (95% CI: 0.9, 7.6) versus 4.9 (95% CI: 1.3, 8.6). Specificity decreased by no more than 2.7 percentage points with AI triage. There were no AI-triaged examinations for which conducting the full MRI protocol would have resulted in additional cancer detection. Conclusion AI-directed stratified MRI decreased simulated scan times while maintaining diagnostic performance. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Strand in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e242924"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12207643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal Approach to Performing and Reporting Computed Tomography Angiography for Suspected Acute Pulmonary Embolism: A Clinical Consensus Statement of the ESC Working Group on Pulmonary Circulation & Right Ventricular Function, the Fleischner Society, the Association for Acute Cardiovascular Care (ACVC) and the European Association of Cardiovascular Imaging (EACVI) of the ESC, Endorsed by European Respiratory Society (ERS), Asian Society of Thoracic Radiology (ASTR), European Society of Thoracic Imaging (ESTI), and Society of Thoracic Radiology (STR).","authors":"Frederikus A Klok, Stefano Barco, Laurent Bertoletti, Sanjeev Bhalla, Suzanne Dubois, Grégorie Le Gal, L B Haramati, Erica van Hooidonk, Marc Humbert, Stavros V Konstantinides, Irene M Lang, William S Murphy, Yoshiharu Ohno, Susanna Price, Mathias Prokop, Piotr Pruszczyk, Alexia Rossi, Patricia A Thistlethwaite, Carol West, Martine Remy-Jardin","doi":"10.1148/radiol.243833","DOIUrl":"10.1148/radiol.243833","url":null,"abstract":"<p><p>CT angiography (CTA) is the modality used most frequently for diagnosing acute pulmonary embolism (PE). Given the vast amount of information that can be extracted from CTA, the CTA report should be written in a way that conveys all relevant findings using standardized nomenclature and definitions. Broad consensus on a core set of CTA findings that are relevant for all PE patients is not currently available. This clinical consensus statement written by the European Society of Cardiology (ESC) Working Group on Pulmonary Circulation & Right Ventricular Function, the Fleischner Society, and the Association for Acute Cardiovascular Care and the European Association of Cardiovascular Imaging of the ESC provides a current update of CTA techniques, a definition of often-used nomenclature and recommendations on the proposed content of CTA reports along with a detailed image atlas with instructions on how to assess all relevant CTA findings and a lay language guidance on the meaning of these findings. Ultimately, upon implementation, this document is expected to standardize CTA radiology reports with respect to diagnostic and prognostic CT imaging findings to guide and harmonize management decisions, ultimately improving outcomes of care for PE patients. This article has been co-published with permission in the <i>European Heart Journal - Cardiovascular Imaging</i> and <i>Radiology</i>. All rights reserved. © The European Society of Cardiology and the Fleischner Society 2025. The articles are identical except for minor stylistic and spelling differences in keeping with each journal's style. Either citation can be used when citing this article. <i>Supplemental material is available for this article.</i> <b>Keywords:</b> Pulmonary embolism • Computed tomography • Reference standards • Outcome • Prognosis • Diagnosis.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e243833"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Case 342.","authors":"Shehbaz Ansari, Brian H Mu, John Findley, Sudeep H Bhabad, Miral D Jhaveri","doi":"10.1148/radiol.243263","DOIUrl":"10.1148/radiol.243263","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;History: &lt;/strong&gt;A 70-year-old woman presented with progressively worsening midback pain over 2 months, radiating in a wraparound distribution to the lower ribs. Initially, the pain was confined to the night but eventually began to persist during the day, worsening with sitting and lying down. The pain was severe and unresponsive to paracetamol and nonsteroidal anti-inflammatory drugs. She reported no bowel or bladder issues and no weakness, numbness, or history of trauma. There was no radiculopathy in either lower extremity. She had no fever, weight loss, or history of using blood thinners. She was a former smoker with a prior transbronchial biopsy for a pulmonary nodule that was negative for malignancy or infection. She had a sister diagnosed with ovarian cancer. Physical examination demonstrated normal vital signs; preserved orientation to person, place, and time; and intact short-term and long-term memory. She had normal gait and coordination. Muscle strength was rated five of five for all four extremities, with intact sensation. Deep tendon reflexes were rated two or higher throughout. No clonus was present, and Hoffmann sign was negative. A lumbar puncture was performed at the bedside. Cerebrospinal fluid (CSF) analysis (Table) revealed an increased protein level (379 mg/dL [3790 mg/L]; reference range: 7-35 mg/dL [70-350 mg/L]) and a mildly decreased glucose level (41 mg/dL [2.3 mmol/L]; reference range, 45-70 mg/dL [2.5-3.9 mmol/L]). There was an elevated CSF lymphocyte count (94 cells/µL; reference range, 0-10 cells/µL). CSF cytologic examination and flow cytometry revealed small lymphoid cells without immunophenotypic abnormalities, suggesting an absence of clonal proliferation. Two oligoclonal bands were present in the CSF (absent in the concurrent serum sample), which was below the threshold for oligoclonal band positivity (four bands). CSF culture, DNA tests for cytomegalovirus and Epstein-Barr virus, polymerase chain reaction tests for herpes simplex virus 1 and 2 and varicella-zoster virus, and autoimmune encephalopathy panels were negative. Both serum and CSF angiotensin-converting enzyme levels were within normal limits. At initial presentation, imaging of the spine and spinal canal included unenhanced CT of the thoracic spine (Fig 1) and contrast-enhanced MRI of the thoracic spine (Fig 2). Contrast-enhanced MRI of the brain was also performed (not shown), which was unremarkable aside from chronic microvascular ischemic changes. Specifically, no dural thickening or intracranial enhancing lesion was identified. Contrast-enhanced CT of the chest, abdomen, and pelvis (not shown) was unremarkable, showing no pulmonary nodules, features of primary malignancy, or lymphadenopathy. Incidental findings included emphysema, likely related to the patient's smoking history. The patient subsequently underwent T6 laminectomy followed by treatment with glucocorticoids and rituximab. Follow-up thoracic spine MRI (Fig 3) was performed ","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e243263"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144476495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-directed Adaptive Breast MRI: A Paradigm Shift in Screening Protocols.","authors":"Fredrik Strand","doi":"10.1148/radiol.250903","DOIUrl":"https://doi.org/10.1148/radiol.250903","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e250903"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144209335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screening for Breast Cancer with Contrast-enhanced Mammography as an Alternative to MRI: SCEMAM Trial Results.","authors":"Wendie A Berg, Adrienne Vargo, Amy H Lu, Jeremy M Berg, Andriy I Bandos, Jamie Y Hartman, Margarita L Zuley, Marie A Ganott, Amy E Kelly, Bronwyn E Nair, Denise M Chough, Ruthane F Reginella, Luisa P Wallace, Kimberly S Harnist, Beatrice A Carlin, Cathy S Cohen, Christiane M Hakim, Jules H Sumkin","doi":"10.1148/radiol.242634","DOIUrl":"https://doi.org/10.1148/radiol.242634","url":null,"abstract":"<p><p>Background Many state laws require insurance coverage for supplemental screening MRI in women at elevated risk for breast cancer, but MRI capacity is limited. Purpose To evaluate the impact of contrast-enhanced mammography (CEM) on incremental cancer detection rate (ICDR), false-positive rate (FPR) due to recall, and positive predictive value of biopsies performed (PPV3) when added to digital breast tomosynthesis (DBT) in women eligible for screening MRI. Materials and Methods From March 2021 to December 2022, 615 eligible women were prospectively recruited and consented to a single screening CEM examination with clinical DBT. Two radiologists interpreted each imaging study: Reader 1 recorded DBT findings first, and reader 2 recorded CEM findings first. Incremental cancer detection rate, cancer type and/or nodal status, FPR, PPV3, interval cancer rate, and areas under receiver operating characteristic curve (AUCs) based on forced Breast Imaging Reporting and Data System assessments were evaluated. Results Six hundred one women (mean age, 56 years [range: 30-75 years]) completed CEM. Twelve of the 601 women (2.0%) were diagnosed with 16 malignant lesions; cancers in five of the 12 women (42%) were detected by reader 1 at DBT, and one was detected at DBT by reader 2 (also seen on CEM by both observers). Cancers in the other six women were identified only with CEM (ICDR, six per 601 or 10.0 per 1000 women [95% CI: 3.3, 18.3]): five had invasive disease, all node negative, with a median lesion size of 0.7 cm (range: 0.4-1.1 cm); three were lobular. The FPR of combined DBT plus CEM was 127 of 589 (21.6%) for reader 1, which was an increase of 13.4% (95% CI: 10.8, 16.4) over DBT alone at 48 of 589 (8.1%). Despite increased FPR, the addition of CEM improved the overall AUC for reader 1 to 0.92 versus 0.73 for DBT alone (<i>P</i> = .016). Among the 601 women, 50 (8.3%) were recommended for biopsy according to CEM by reader 1, and six of the 50 (12%) were diagnosed with cancer. At the lesion level, the PPV3 was seven of 62 (11%) for biopsies prompted only with CEM by reader 1. There were no interval cancers at 1 year. Conclusion A significant increase in the detection of early-stage breast cancer was achieved using CEM after DBT. Despite substantially increasing the FPR, adding CEM to DBT improved the overall AUC by 0.19. ClinicalTrials.gov registration no.: NCT04764292 © RSNA, 2025 <i>Supplemental material is available for this article</i>.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e242634"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144317802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shift to the Right: Cardiac MRI-Derived Right Ventricular Strain May Be Prognostic in Heart Failure with Preserved Ejection Fraction.","authors":"David J Murphy, Sean Quinn","doi":"10.1148/radiol.251568","DOIUrl":"https://doi.org/10.1148/radiol.251568","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e251568"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144317803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future Applications of Cardiothoracic CT.","authors":"Mark L Schiebler, Masahiro Jinzaki, Masahiro Yanagawa, Amir Pourmorteza, Yoshitake Yamada, Yoko Kato, Noriaki Wada, Cornelia Schaefer-Prokop, Vincent Dousset, Noriyuki Tomiyama, Mathias Prokop, João A Lima, Hiroto Hatabu","doi":"10.1148/radiol.240085","DOIUrl":"10.1148/radiol.240085","url":null,"abstract":"<p><p>Radiologists are witnessing astonishing innovation and advancement of CT technologies and their clinical applications. This review highlights how photon-counting CT (PCCT), upright CT, and artificial intelligence (AI) may impact cardiothoracic CT applications for imaging and diagnosis. PCCT relies on new detectors that can bin the separate photon energies and allow for lower radiation dose and better spatial resolution. The clinical applications of PCCT in the coronary arteries are becoming the new standard for cardiac CT imaging. New upright CT has shown the benefits of imaging in the upright position and offers new insight into how the upright position affects biomechanics and physiology. Four-dimensional CT, which can be used to directly image perfusion, is challenging MRI and MR angiography for primacy in this area. The burgeoning role of AI and informatics is changing the way radiologists interpret and report many imaging examinations. The future is bright and promises lower radiation and intravenous contrast agent doses and higher spatial resolution, and will further incorporate deep learning to improve the effectiveness of CT.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e240085"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12207641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144258899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative Diffusion-weighted Imaging to Reduce the Burden on Patients with Breast Cancer.","authors":"Maya Honda, Mami Iima","doi":"10.1148/radiol.250964","DOIUrl":"https://doi.org/10.1148/radiol.250964","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 3","pages":"e250964"},"PeriodicalIF":12.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144258901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}