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US Screening for Liver Lesions in Patients at Risk for HCC: How Well Does LI-RADS US Scoring System Perform?
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.250596
Richard G Barr
{"title":"US Screening for Liver Lesions in Patients at Risk for HCC: How Well Does LI-RADS US Scoring System Perform?","authors":"Richard G Barr","doi":"10.1148/radiol.250596","DOIUrl":"https://doi.org/10.1148/radiol.250596","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e250596"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701352","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}
引用次数: 0
High-Resolution US vs MR Neurography for Diagnosis of Upper Extremity Peripheral Nerve Disorders.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.232063
Olivia Foesleitner, Marietta Kirchner, Fabian Preisner, Moritz Kronlage, Tim Godel, Johann M E Jende, Tim Hilgenfeld, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Daniel Schwarz
{"title":"High-Resolution US vs MR Neurography for Diagnosis of Upper Extremity Peripheral Nerve Disorders.","authors":"Olivia Foesleitner, Marietta Kirchner, Fabian Preisner, Moritz Kronlage, Tim Godel, Johann M E Jende, Tim Hilgenfeld, Sabine Heiland, Wolfgang Wick, Martin Bendszus, Daniel Schwarz","doi":"10.1148/radiol.232063","DOIUrl":"https://doi.org/10.1148/radiol.232063","url":null,"abstract":"<p><p><i>\"Just Accepted\" papers have undergone full peer review and have been accepted for publication in <i>Radiology</i>. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content.</i> Background High-resolution imaging methods contribute important pathomorphological information in diagnosing peripheral nerve disorders, but their diagnostic roles remain unclear due to limited clinical evidence. Purpose To investigate the diagnostic performance of high-resolution nerve US (HRUS) and MR neurography (MRN). Materials and Methods This prospective observational, single-center cohort study included 800 patients referred for clinically suspected peripheral neuropathy of the upper extremity from November 2015 to February 2022. All patients underwent both HRUS and MRN, performed and interpreted independently by experienced neuroradiologists. Accuracy, sensitivity, and specificity of HRUS and MRN in diagnosing peripheral neuropathy correctly were calculated in reference to the final diagnosis, based on compound results of clinical, electrophysiological, imaging, and surgical/histopathological findings and compared by means of the McNemar's test and X<sup>2</sup>-Testing. Results In total 800 patients (431 male, 369 female; mean age 47.8 ± 16.5 years) were included. Overall, MRN provided higher accuracy (85.4% [95%CI: 82.7%, 87.8%] vs. 70.6% [95%CI: 67.3%, 73.8%], <i>P</i><.001) and sensitivity (91.6% [95%CI: 89.1%,93.7%] vs. 68.7% [95%CI: 64.8%,72.3%], <i>P</i><.001), while HRUS achieved higher specificity (76.0% [95%CI: 69.4%,81.9%] vs. 66.2% [95%CI: 59.1%,72.8%], <i>P</i><.001) for diagnosing peripheral neuropathy correctly. Conclusion For diagnosing peripheral neuropathies of the upper extremity, MRN achieved higher accuracy and sensitivity while HRUS achieved higher specificity. See also the editorial by Deshmukh in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e232063"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543186","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}
引用次数: 0
LI-RADS for Diagnosing Hepatocellular Carcinoma in Patients with Noncirrhotic Chronic Hepatitis C.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.241856
Jihyun An, Rohee Park, Euichang Kim, Seong Kyun Na, Ha Il Kim, In-Hye Song, Young Seo Cho, Ji Hun Kang, Han Chu Lee, Seungbong Han, Jean-Charles Nault, Sang Hyun Choi, Ju Hyun Shim
{"title":"LI-RADS for Diagnosing Hepatocellular Carcinoma in Patients with Noncirrhotic Chronic Hepatitis C.","authors":"Jihyun An, Rohee Park, Euichang Kim, Seong Kyun Na, Ha Il Kim, In-Hye Song, Young Seo Cho, Ji Hun Kang, Han Chu Lee, Seungbong Han, Jean-Charles Nault, Sang Hyun Choi, Ju Hyun Shim","doi":"10.1148/radiol.241856","DOIUrl":"https://doi.org/10.1148/radiol.241856","url":null,"abstract":"<p><p>Background The Liver Imaging Reporting and Data System (LI-RADS) criteria have not been validated for patients with noncirrhotic chronic hepatitis C (CHC), who are at a greater risk for hepatocellular carcinoma (HCC) than the general population. Purpose To evaluate the diagnostic performance of LI-RADS category 5 (LR-5, indicating definite HCC) observations for HCC using CT and MRI in patients with noncirrhotic CHC and to compare these findings with those in patients with cirrhotic CHC. Materials and Methods This retrospective study included patients without cirrhosis with CHC with focal hepatic nodules of 1 cm or greater on dynamic CT or MRI scans who underwent pathologic confirmation at two university hospitals from August 2002 to February 2022. This group served as the test dataset. The primary outcome was the diagnostic performance of LR-5 for HCC using CT and MRI. When LI-RADS categorization differed between CT and MRI, the MRI-based classification was used as the definitive category. Results were validated using a dataset of patients with CHC from two additional hospitals based on the clinical composite reference standard. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated. Results The test dataset comprised 458 patients (mean age, 64 years ± 9 [SD]; 350 male; 219 without cirrhosis, 239 with cirrhosis). For noncirrhotic livers, the LR-5 criteria achieved an AUC, accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 0.90 (95% CI: 0.86, 0.93), 85.1% (95% CI: 80.6, 89.7), 82.4% (95% CI: 77.0, 87.8), 97.6% (95% CI: 93.0, 100.0), 99.4% (95% CI: 98.2, 100.0), and 54.7% (95% CI: 43.4, 65.9), respectively. The AUC for LR-5 observations in diagnosing HCC was higher in the noncirrhotic liver group compared with the cirrhotic liver group (AUC, 0.90 [95% CI: 0.86, 0.93] vs 0.79 [95% CI: 0.74, 0.84]; <i>P</i> = .002). The diagnostic performance of the LR-5 criteria for diagnosing HCC was also excellent in patients with noncirrhotic CHC in the validation dataset, which included 155 lesions from 103 patients (mean age, 68 years ± 12; 146 male). The AUC, accuracy, sensitivity, specificity, PPV, and NPV in the validation dataset were 0.91 (95% CI: 0.84, 0.97), 96.1% (95% CI: 93.1, 99.2), 82.9% (95% CI: 70.4, 95.3), 100%, 100%, and 95.2% (95% CI: 91.5, 99.0), respectively. Conclusion The diagnostic performance of LR-5 for HCC in patients with noncirrhotic CHC was comparable to that in patients with cirrhosis across various clinical settings. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Schöllnast in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e241856"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701349","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}
引用次数: 0
The Growing Nationwide Radiologist Shortage: Current Opportunities and Ongoing Challenges for International Medical Graduate Radiologists. 全国放射科医生日益短缺:国际放射医学研究生的当前机遇和持续挑战。
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.232625
Sohrab Afshari Mirak, Sree Harsha Tirumani, Nikhil Ramaiya, Inas Mohamed
{"title":"The Growing Nationwide Radiologist Shortage: Current Opportunities and Ongoing Challenges for International Medical Graduate Radiologists.","authors":"Sohrab Afshari Mirak, Sree Harsha Tirumani, Nikhil Ramaiya, Inas Mohamed","doi":"10.1148/radiol.232625","DOIUrl":"10.1148/radiol.232625","url":null,"abstract":"<p><p>The United States is facing shortages in a myriad of medical fields, including diagnostic radiology (DR). The increasing number of imaging studies, owing to advancing technology and an aging population, is outgrowing the capacity of radiologists. However, there have not been effective long-term solutions to manage this issue, which could have a looming effect on patient care and radiology residents' education. The alternate pathway introduced by the American Board of Radiology (ABR) allows international medical graduates (IMGs) who have completed DR residency outside the U.S. and Canada to be eligible for board certification after 4 additional years of training in the U.S. This eligibility requirement can be met by a combination of fellowships, up to 3 years of residency, and/or faculty appointments at the same time. The criteria were updated in 2022, facilitating the certification process for applicants. The changes included completing the 4 years of training within 8 years instead of the preapproved 4 consecutive years, omitting the obligatory 4 months of nuclear radiology training, and the ability to retrospectively include 2 years of training before the date of application. Considering the lack of reliable, up-to-date data in the literature and to highlight the importance of this pathway for the radiology community, this special report discusses the contribution of IMGs to the different aspects of the health care system in the U.S., with a focus on DR, as well as the newly updated alternate pathway criteria. Potential critical logistic challenges the IMG applicants may face are reviewed. Finally, the report proposes actions that could facilitate the ABR certification process and help integrate these highly qualified IMG radiologists into the American health care system.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e232625"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11950870/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543192","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}
引用次数: 0
Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.242566
Karin E Dembrower, Alessio Crippa, Martin Eklund, Fredrik Strand
{"title":"Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader.","authors":"Karin E Dembrower, Alessio Crippa, Martin Eklund, Fredrik Strand","doi":"10.1148/radiol.242566","DOIUrl":"https://doi.org/10.1148/radiol.242566","url":null,"abstract":"<p><p>Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rates for combinations of artificial intelligence (AI) computer-aided detection (CAD) and two radiologists. The results raised concerns about the tendency of radiologists to agree with AI CAD too much (when AI CAD made an erroneous flagging) or too little (when AI CAD made a correct flagging). Purpose To evaluate differences in recall proportion and positive predictive value (PPV) related to which reader flagged the mammogram for consensus discussion: AI CAD and/or radiologists. Materials and Methods Participants were enrolled from April 2021 to June 2022, and each examination was interpreted by three independent readers: two radiologists and AI CAD, after which positive findings were forwarded to the consensus discussion. For each combination of readers flagging an examination, the proportion recalled and the PPV were calculated by dividing the number of pathologic evaluation-verified cancers by the number of positive examinations. Results The study included 54 991 women (median age, 55 years [IQR, 46-65 years]), among whom 5489 were flagged for consensus discussion and 1348 were recalled. For examinations flagged by one reader, the proportion recalled after flagging by one radiologist was larger (14.2% [263 of 1858]) compared with flagging by AI CAD (4.6% [86 of 1886]) (<i>P</i> < .001), whereas the PPV of breast cancer was lower (3.4% [nine of 263] vs 22% [19 of 86]) (<i>P</i> < .001). For examinations flagged by two readers, the proportion recalled after flagging by two radiologists was larger (57.2% [360 of 629]) compared with flagging by AI CAD and one radiologist (38.6% [244 of 632]) (<i>P</i> < .001), whereas the PPV was lower (2.5% [nine of 360] vs 25.0% [61 of 244]) (<i>P</i> < .001). For examinations flagged by all three readers, the proportion recalled was 82.6% (400 of 484) and the PPV was 34.2 (137 of 400). Conclusion A larger proportion of participants were recalled after initial flagging by radiologists compared with those flagged by AI CAD, with a lower proportion of cancer. ClinicalTrials.gov Identifier: NCT04778670 © RSNA, 2025 See also the editorial by Grimm in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e242566"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657195","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}
引用次数: 0
Visualization of Bony Union after Discectomy and Fusion Using Photon-Counting Detector CT. 使用光子计数探测器 CT 观察椎间盘切除术和融合术后的骨结合。
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.242514
Stephan Rau, Jakob Weiss
{"title":"Visualization of Bony Union after Discectomy and Fusion Using Photon-Counting Detector CT.","authors":"Stephan Rau, Jakob Weiss","doi":"10.1148/radiol.242514","DOIUrl":"https://doi.org/10.1148/radiol.242514","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e242514"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143605496","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}
引用次数: 0
Enhancing Practices for Multiparametric MRI in Gastric Cancer: Addressing Clear Criteria for T and N Stage.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.242222
Yan Chen, Quan-Meng Liu
{"title":"Enhancing Practices for Multiparametric MRI in Gastric Cancer: Addressing Clear Criteria for T and N Stage.","authors":"Yan Chen, Quan-Meng Liu","doi":"10.1148/radiol.242222","DOIUrl":"https://doi.org/10.1148/radiol.242222","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e242222"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606265","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}
引用次数: 0
Case 339.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.242717
Benjamin Rea, Anthony Blakeborough
{"title":"Case 339.","authors":"Benjamin Rea, Anthony Blakeborough","doi":"10.1148/radiol.242717","DOIUrl":"https://doi.org/10.1148/radiol.242717","url":null,"abstract":"<p><strong>History: </strong>A 66-year-old male patient with a background history of hypertension and no history of liver disease was found to have mildly deranged liver function test results as part of his annual hypertension review. Clinical examination findings were unremarkable, the patient was afebrile (36.8 °C), and other vital observations were within normal limits. Full blood count and urea and creatinine levels were within normal limits; however, liver function tests revealed a mildly elevated alanine aminotransferase level of 61 IU/L (1.02 µkat/L) (reference range, 0-40 IU/L [0-0.67 µkat/L]), and a mildly elevated γ-glutamyltransferase level of 52 IU/L (0.88 µkat/L) (reference range, 0-50 IU/L [0-0.83 µkat/L]). The patient subsequently underwent US examination of the abdomen, which revealed a large liver lesion in an otherwise normal liver with no imaging features of cirrhosis. MRI of the liver was performed for further characterization (Fig 1). The patient subsequently underwent resection of the large mass and surgical pathology. Surveillance MRI was performed 4 months after surgery (Fig 2).</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e242717"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143701303","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}
引用次数: 0
In Pursuit of KI-RADS: Toward a Single, Evidence-based Imaging Classification of Renal Masses.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.240308
Stuart G Silverman, Ivan Pedrosa, Nicola Schieda, Vitaly Margulis, Payal Kapur, Matthew S Davenport
{"title":"In Pursuit of KI-RADS: Toward a Single, Evidence-based Imaging Classification of Renal Masses.","authors":"Stuart G Silverman, Ivan Pedrosa, Nicola Schieda, Vitaly Margulis, Payal Kapur, Matthew S Davenport","doi":"10.1148/radiol.240308","DOIUrl":"10.1148/radiol.240308","url":null,"abstract":"<p><p>Despite the successful application of Imaging Reporting and Data Systems to improve the radiologic description and management of disease in many organs, one does not yet exist for the kidney. Instead, the radiologic approach to the kidney has focused on the Bosniak classification system, which is based on imaging characteristics for cystic renal masses, and detecting macroscopic fat within solid renal masses. Radiologically, cystic and solid renal masses are categorized and evaluated separately because of historical precedent, differences in appearance at imaging, and differences in biologic behavior. However, the World Health Organization classification of renal neoplasms does not support such separation. Further, the primary goal has been cancer diagnosis. Differentiating benign from malignant masses is important, but data show that many renal cancers, particularly when small, will not cause harm. Therefore, a critical goal of any unifying, single, imaging-based classification of kidney masses (ie, a Kidney Imaging Reporting and Data System) should be predicting the biologic behavior or aggressiveness of suspected kidney cancer. This system could inform the need for treatment or active surveillance and reduce prevalent overdiagnosis and overtreatment. This review describes the rationale for and challenges in creating such a system and the research needed for it to be developed.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e240308"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11950888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657901","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}
引用次数: 0
Personalized Platelet Protocols: Progress, Pitfalls, and Potential.
IF 12.1 1区 医学
Radiology Pub Date : 2025-03-01 DOI: 10.1148/radiol.250488
David F Kallmes, Dorothea Altschul
{"title":"Personalized Platelet Protocols: Progress, Pitfalls, and Potential.","authors":"David F Kallmes, Dorothea Altschul","doi":"10.1148/radiol.250488","DOIUrl":"https://doi.org/10.1148/radiol.250488","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 3","pages":"e250488"},"PeriodicalIF":12.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657947","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}
引用次数: 0
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