RadiologyPub Date : 2025-05-01DOI: 10.1148/radiol.250273
Kate Hanneman, Mina S Makary
{"title":"Tackling Moral Distress in Radiology: Root Causes and Systemic Solutions.","authors":"Kate Hanneman, Mina S Makary","doi":"10.1148/radiol.250273","DOIUrl":"https://doi.org/10.1148/radiol.250273","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e250273"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111724","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 : 2025-05-01DOI: 10.1148/radiol.250081
Melissa A Davis
{"title":"Navigating Bias and Fairness in AI.","authors":"Melissa A Davis","doi":"10.1148/radiol.250081","DOIUrl":"https://doi.org/10.1148/radiol.250081","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e250081"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111794","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 : 2025-05-01DOI: 10.1148/radiol.243300
Nikolaos S Avramiotis, Matthias A Mutke, Matthias Mehling, Ramona-Alexandra Todea, Marios-Nikos Psychogios, Urs M Fischer, Joachim Fladt
{"title":"Case 341.","authors":"Nikolaos S Avramiotis, Matthias A Mutke, Matthias Mehling, Ramona-Alexandra Todea, Marios-Nikos Psychogios, Urs M Fischer, Joachim Fladt","doi":"10.1148/radiol.243300","DOIUrl":"https://doi.org/10.1148/radiol.243300","url":null,"abstract":"<p><strong>History: </strong>A 36-year-old man with known history of relapsing multiple sclerosis of 13-year duration who was undergoing continuous treatment with subcutaneous interferon-β (44 µg three times per week) presented to the emergency department of our hospital with blurry vision of 1-week duration. Routine MRI performed 1 month earlier had revealed five new fluid-attenuated inversion recovery (or FLAIR) T2-hyperintense cerebellar lesions without contrast enhancement, suggesting active relapsing multiple sclerosis (Fig 1), albeit without corresponding neurologic deficits. The patient denied any other symptoms, apart from known yet intensified intermittent tension-type headaches. His history was unremarkable for drug use, recent infections, or travel. There was no routine use of other medication. Apart from a markedly elevated blood pressure (214/122 mm Hg), vital signs were within normal ranges (heart rate, 72 beats per minute; temperature, 97.9 °F [36.6 °C]; respiratory rate, 19 breaths per minute; oxygen saturation, 100%). Physical examination findings were unremarkable. Findings of a neurologic examination were normal, except for known saccadic gaze, with an Expanded Disability Status Scale (or EDSS) of 1. Acute ophthalmologic evaluation with fundoscopy showed bilateral hypertensive retinopathy, without signs of optic neuritis. Laboratory analysis revealed known increased liver enzyme levels due to interferon-β treatment (aspartate aminotransferase level, 123 U/L [2.05 µkat/L]; normal range, 11-34 U/L [0.18-0.57 µkat/L]; alanine aminotransferase level, 179 U/L [2.99 µkat/L]; normal range, 9-59 U/L [0.15-0.99 µkat/L]; γ-glutamyl transferase level, 154 U/L [2.57 µkat/L]; normal range, 12-68 U/L [0.20-1.14 µkat/L]). The patient was admitted for further diagnostic evaluation, including new brain (Figs 2, 3) and spinal (not shown) MRI studies. Antihypertensive treatment with perindopril and amlodipine was initiated. Further laboratory examinations revealed microalbuminuria (albumin-to-creatinine ratio in urine, 59.21 mg/mmol; reference range, <3.00 mg/mmol) and hyperlipidemia (low-density lipoprotein cholesterol level, 3.84 mmol/L; reference range, 1.60-3.40 mmol/L). Blood serologic examination and cerebrospinal fluid laboratory analysis were unremarkable, except for positive oligoclonal bands, with a polymerase chain reaction panel that was negative for common meningitis and/or encephalitis pathogens and a polymerase chain reaction test that was negative for human polyomavirus 2 (or JC virus) DNA in the cerebrospinal fluid. The clinical course supported a wait-and-see approach without the use of steroids or antimicrobial therapy. Follow-up contrast-enhanced brain MRI was performed 1 week after presentation (Fig 4).</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e243300"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144151417","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 : 2025-05-01DOI: 10.1148/radiol.241674
Paul H Yi, Preetham Bachina, Beepul Bharti, Sean P Garin, Adway Kanhere, Pranav Kulkarni, David Li, Vishwa S Parekh, Samantha M Santomartino, Linda Moy, Jeremias Sulam
{"title":"Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology.","authors":"Paul H Yi, Preetham Bachina, Beepul Bharti, Sean P Garin, Adway Kanhere, Pranav Kulkarni, David Li, Vishwa S Parekh, Samantha M Santomartino, Linda Moy, Jeremias Sulam","doi":"10.1148/radiol.241674","DOIUrl":"10.1148/radiol.241674","url":null,"abstract":"<p><p>Despite growing awareness of problems with fairness in artificial intelligence (AI) models in radiology, evaluation of algorithmic biases, or AI biases, remains challenging due to various complexities. These include incomplete reporting of demographic information in medical imaging datasets, variability in definitions of demographic categories, and inconsistent statistical definitions of bias. To guide the appropriate evaluation of AI biases in radiology, this article summarizes the pitfalls in the evaluation and measurement of algorithmic biases. These pitfalls span the spectrum from the technical (eg, how different statistical definitions of bias impact conclusions about whether an AI model is biased) to those associated with social context (eg, how different conventions of race and ethnicity impact identification or masking of biases). Actionable best practices and future directions to avoid these pitfalls are summarized across three key areas: <i>(a)</i> medical imaging datasets, <i>(b)</i> demographic definitions, and <i>(c)</i> statistical evaluations of bias. Although AI bias in radiology has been broadly reviewed in the recent literature, this article focuses specifically on underrecognized potential pitfalls related to the three key areas. By providing awareness of these pitfalls along with actionable practices to avoid them, exciting AI technologies can be used in radiology for the good of all people.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e241674"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12127964/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144111803","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}
RadiologyPub Date : 2025-05-01DOI: 10.1148/radiol.250622
Benoît Mesurolle, Mona El Khoury
{"title":"Breast Cancer Risk Prediction with Radiomic Tissue Characterization on Mammograms Takes Shape.","authors":"Benoît Mesurolle, Mona El Khoury","doi":"10.1148/radiol.250622","DOIUrl":"https://doi.org/10.1148/radiol.250622","url":null,"abstract":"","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e250622"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144009663","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 : 2025-05-01DOI: 10.1148/radiol.241252
Masahiro Yanagawa, Joungho Han, Noriaki Wada, Jin Woo Song, Jiwon Hwang, Ho Yun Lee, Akinori Hata, Tomás Franquet, Man Pyo Chung, Noriyuki Tomiyama, Hiroto Hatabu, Kyung Soo Lee
{"title":"Advances in Concept and Imaging of Interstitial Lung Disease.","authors":"Masahiro Yanagawa, Joungho Han, Noriaki Wada, Jin Woo Song, Jiwon Hwang, Ho Yun Lee, Akinori Hata, Tomás Franquet, Man Pyo Chung, Noriyuki Tomiyama, Hiroto Hatabu, Kyung Soo Lee","doi":"10.1148/radiol.241252","DOIUrl":"https://doi.org/10.1148/radiol.241252","url":null,"abstract":"<p><p>Although idiopathic pulmonary fibrosis (IPF) is a type of idiopathic interstitial pneumonia (IIP), it is different from other IIPs. IPF also differs from interstitial lung disease (ILD) with known causes, including connective tissue disease, exposure, cysts and/or airspace filling disease, and sarcoidosis. More than 90% of IPFs demonstrate progressive disease. Non-IPF ILD has been classified as progressive pulmonary fibrosis on the basis of disease behavior (progressive disease that gets worse over time) as opposed to classification based on cause and/or morphologic characteristics. Progressive fibrosis predictors in ILD include demographic characteristics, underlying connective tissue disease, more extensive disease at CT, honeycombing and usual interstitial pneumonia (UIP) pattern at CT, and greater impairment of lung function. Hypersensitivity pneumonitis (HP), a type of ILD, is separated into fibrotic and nonfibrotic types. Extensive peribronchiolar metaplasia supports the diagnosis of fibrotic HP over UIP, as does predominantly peribronchiolar disease with relative subpleural sparing at CT. Interstitial lung abnormality (ILA) is incidentally identified at CT; thus, ILA is under radiologist purview. Subpleural fibrotic ILA is a prognostic imaging biomarker, predictive of worse prognosis. Photon-counting CT can provide high spatial resolutions of up to 125 μm (in-plane) and 200 μm (through-plane) for improved evaluation of abnormalities.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e241252"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144005835","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 : 2025-05-01DOI: 10.1148/radiol.241911
Claudio Silva, Jared D Christensen
{"title":"How I Do It: Evaluating Cardiac Implantable Devices and Noncardiac Mimics on Chest Radiographs.","authors":"Claudio Silva, Jared D Christensen","doi":"10.1148/radiol.241911","DOIUrl":"https://doi.org/10.1148/radiol.241911","url":null,"abstract":"<p><p>Cardiac implantable electronic devices (CIEDs), including pacemakers and defibrillators, are increasingly used to manage various cardiac conditions. This article reviews the radiographic appearance, typical components, and placement of CIEDs, including newer technologies like leadless pacemakers and MRI-conditional devices. The article also highlights the imaging findings of common complications such as lead dislodgement, fracture, and perforation, emphasizing the role of imaging in early detection and intervention. Additionally, the radiographic identification of other cardiac and noncardiac devices with similar-appearing imaging features is addressed. Other cardiac devices covered in this article include those for cardiac monitoring, ventricular assistance, and cardiac repair. Noncardiac mimics include deep brain, vagal nerve, and phrenic nerve stimulators as well as breast implant radiofrequency markers. Accurately identifying these devices and their positioning on chest radiographs facilitates the early detection of complications and directs appropriate patient care.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"315 2","pages":"e241911"},"PeriodicalIF":12.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044954","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}