RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.240331
Eric Wehrenberg-Klee, Thomas An, Pedram Heidari, Carlos Huesa-Berral, Matthew R Dreher, Amanda Eldridge, Kirk Fowers, Jan Schuemann, Alejandro Bertolet
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.242202
Edward I Bluth
{"title":"Questions about Radiologist Workforce Attrition.","authors":"Edward I Bluth","doi":"10.1148/radiol.242202","DOIUrl":"https://doi.org/10.1148/radiol.242202","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 2","pages":"e242202"},"PeriodicalIF":12.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391642","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}
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.259001
Terence Gade
{"title":"Umar Mahmood, MD, PhD, President, Radiological Society of North America, 2025.","authors":"Terence Gade","doi":"10.1148/radiol.259001","DOIUrl":"https://doi.org/10.1148/radiol.259001","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 2","pages":"e259001"},"PeriodicalIF":12.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391645","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}
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.240473
Isabel L Langenbach, Ibrahim Hadzic, Roman Zeleznik, Marcel C Langenbach, David Maintz, Thomas Mayrhofer, Michael T Lu, Hugo J W L Aerts, Borek Foldyna
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.240621
Maria L Brun-Vergara, Nader Zakhari, Carlos H Torres
{"title":"Case 334: Cryptococcal Meningitis.","authors":"Maria L Brun-Vergara, Nader Zakhari, Carlos H Torres","doi":"10.1148/radiol.240621","DOIUrl":"https://doi.org/10.1148/radiol.240621","url":null,"abstract":"<p><strong>History: </strong>A 30-year-old female patient who was 25 weeks pregnant presented to the emergency department with a 1-month history of mild headache and 2 weeks of progressive somnolence and photophobia accompanied by binocular horizontal diplopia and right gaze deviation. The patient also described new neck pain with passive head movements, without neck stiffness. Overall, the pregnancy was uncomplicated, with no high-risk features. Fever, chills, cough, shortness of breath, and abdominal or chest pain were denied. The patient had no history of rash, intravenous drug use, immunosuppressive medication use, or documented congenital abnormalities. She had not traveled recently, although she lived in Vancouver, British Columbia, Canada, 2 years prior to presentation. There was no recent or recurrent bacterial or viral illness. At clinical examination, the patient exhibited a decreased level of alertness and appeared tired. Vital signs were unremarkable, with a normal temperature (37.1 °C). Cranial nerve assessment revealed mild right abducens nerve palsy; neurologic examination was otherwise normal. Fundoscopic examination showed moderate grade 3 papilledema, left greater than right, with obscuration of some of the vessels leaving the disk. A CT scan of the head at admission was interpreted as normal. MRI of the brain performed 5 days later, due to persistent symptoms, revealed infratentorial and supratentorial imaging abnormalities. Lumbar puncture revealed high cerebral spinal fluid (CSF) opening pressure (32 cm H<sub>2</sub>O; upper limit of normal, 25 cm H<sub>2</sub>O). The CSF was clear, and analysis revealed an elevated total nucleated cell count (136 ×10<sup>6</sup>/L; reference range, 0-5 ×10<sup>6</sup>/L), with predominant lymphocytic moderate pleocytosis (100 ×10<sup>6</sup>/L; reference range, 0-5 ×10<sup>6</sup>/L) (59% lymphocytes) and normal glucose (3.3 mmol/L; reference range, 2.2-3.9 mmol/L) and normal total protein (0.27 g/L; reference range, 0.16-0.49 g/L) levels. Blood culture results for mycobacteria and anaerobic and aerobic microorganisms showed no growth. Findings from extensive additional diagnostic workup, including serologic testing for herpes simplex virus, varicella-zoster virus, enterovirus, <i>Brucella, Coccidioides, Histoplasma</i>, and mycobacteria, were negative. The HIV test result was negative, and the CD4 lymphocyte count and complement and immunoglobulin levels were within normal range. Autoimmune screening results were also negative.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 2","pages":"e240621"},"PeriodicalIF":12.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143493274","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}
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.259003
Moritz C Halfmann, Stefanie Bockius, Tilman Emrich, Michaela Hell, U Joseph Schoepf, Gerald S Laux, Larissa Kavermann, Dirk Graafen, Tomasso Gori, Yang Yang, Roman Kloeckner, Pál Maurovich-Horvat, Jens Ricke, Lukas Müller, Akos Varga-Szemes, Nicola Fink
{"title":"Erratum for: Ultrahigh-Spatial-Resolution Photon-counting Detector CT Angiography of Coronary Artery Disease for Stenosis Assessment.","authors":"Moritz C Halfmann, Stefanie Bockius, Tilman Emrich, Michaela Hell, U Joseph Schoepf, Gerald S Laux, Larissa Kavermann, Dirk Graafen, Tomasso Gori, Yang Yang, Roman Kloeckner, Pál Maurovich-Horvat, Jens Ricke, Lukas Müller, Akos Varga-Szemes, Nicola Fink","doi":"10.1148/radiol.259003","DOIUrl":"https://doi.org/10.1148/radiol.259003","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 2","pages":"e259003"},"PeriodicalIF":12.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143493382","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}
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.241673
Marissa B Lawson, Weiwei Zhu, Diana L Miglioretti, Tracy Onega, Louise M Henderson, Garth H Rauscher, Karla Kerlikowske, Brian L Sprague, Erin J A Bowles, Ellen S O'Meara, Anna N A Tosteson, Roberta M diFlorio-Alexander, Rebecca A Hubbard, Janie M Lee, Christoph I Lee
RadiologyPub Date : 2025-02-01DOI: 10.1148/radiol.240597
Magdalini Paschali, Zhihong Chen, Louis Blankemeier, Maya Varma, Alaa Youssef, Christian Bluethgen, Curtis Langlotz, Sergios Gatidis, Akshay Chaudhari
{"title":"Foundation Models in Radiology: What, How, Why, and Why Not.","authors":"Magdalini Paschali, Zhihong Chen, Louis Blankemeier, Maya Varma, Alaa Youssef, Christian Bluethgen, Curtis Langlotz, Sergios Gatidis, Akshay Chaudhari","doi":"10.1148/radiol.240597","DOIUrl":"10.1148/radiol.240597","url":null,"abstract":"<p><p>Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models (FMs), are trained on extensive corpora of unlabeled data and demonstrate high performance across various tasks. FMs have recently received extensive attention from academic, industry, and regulatory bodies. Given the potentially transformative impact that FMs can have on the field of radiology, radiologists must be aware of potential pathways to train these radiology-specific FMs, including understanding both the benefits and challenges. Thus, this review aims to explain the fundamental concepts and terms of FMs in radiology, with a specific focus on the requirements of training data, model training paradigms, model capabilities, and evaluation strategies. Overall, the goal of this review is to unify technical advances and clinical needs for safe and responsible training of FMs in radiology to ultimately benefit patients, providers, and radiologists.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"314 2","pages":"e240597"},"PeriodicalIF":12.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143190102","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}