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MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI. Radiology (IF 12.1) Pub Date : 2025-04-01 Yan Zhuang,Tejas Sudharshan Mathai,Pritam Mukherjee,Brandon Khoury,Boah Kim,Benjamin Hou,Nusrat Rabbee,Abhinav Suri,Ronald M Summers
Background There is a pressing demand to develop an automated segmentation tool for abdominal MRI that can provide accurate and robust segmentation in more than 60 abdominal organs and structures. Purpose To develop and evaluate the accuracy and robustness of an automated multiorgan and structure segmentation tool for T1-weighted abdominal MRI. Materials and Methods In this retrospective study, a T1-weighted
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2024 International Expert Consensus on US-guided Thermal Ablation for T1N0M0 Papillary Thyroid Cancer. Radiology (IF 12.1) Pub Date : 2025-04-01 Zhen-Long Zhao,Shu-Rong Wang,Jennifer Kuo,Bülent Çekiç,Lei Liang,Hossam Arafa Ghazi,Shu-Hang Xu,Gerardo Amabile,Song-Song Wu,Ajit Yadav,Gang Dong,Ingo Janssen,Bo-Qiang Fan,Nobuhiro Fukunari,Jun-Feng He,Le Thanh Dung,Song-Yuan Yu,Sum Leong,Jian-Jun Yu,Yi-Hong Chou,Rafael De Cicco,Ying Che,Kai-Lun Cheng,Emad Kandil,Wei-Che Lin,Dong Xu,Jonathon Russell,Man Lu,Ralph Tufano,Lin-Xue Qian,Gregory W Randolph
Thermal ablation has started to gain acceptance as a therapeutic approach for the management of papillary thyroid cancer (PTC), mainly in the T1 stage (tumor size ≤ 2 cm in greatest dimension and limited to the thyroid). Despite its increasing popularity, a lack of uniformity in the technical details persists, and existing guidelines do not fully align with recent research advancements. To standardize
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Multisequence 3-T Image Synthesis from 64-mT Low-Field-Strength MRI Using Generative Adversarial Networks in Multiple Sclerosis. Radiology (IF 12.1) Pub Date : 2025-04-01 Alfredo Lucas,Thomas Campbell Arnold,Serhat V Okar,Chetan Vadali,Karan D Kawatra,Zheng Ren,Quy Cao,Russell T Shinohara,Matthew K Schindler,Kathryn A Davis,Brian Litt,Daniel S Reich,Joel M Stein
Background Portable low-field-strength (64-mT) MRI scanners show promise for increasing access to neuroimaging for clinical and research purposes; however, these devices produce lower-quality images than conventional high-field-strength scanners. Purpose To develop and evaluate a deep learning architecture to generate high-field-strength quality brain images from low-field-strength inputs using paired
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A Pair to Echo: AI Segmentation of CT and MRI. Radiology (IF 12.1) Pub Date : 2025-04-01 Paul M Murphy
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Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study. Radiology (IF 12.1) Pub Date : 2025-04-01 Astrée Lemore,Nora Vogt,Julien Oster,Edouard Germain,Marc Fauvel,Romain Gillet,François Sirveaux,Béatrice Marie,Nicolas Sans,Marie Faruch,Franck Lapègue,François Lafourcade,Sammy Badr,Anne Cotten,Fadila Mihoubi Bouvier,Sisi Yang,Jean-Luc Drapé,Maxime Pastor,Yann Thouvenin,Marie Pierre Baron,Catherine Cyteval,David Fadli,Claire Fournier,Olivier Hauger,Mariem Ben Haj Amor,Nicolas Stacoffe,Sophie Daubie
Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient management. Current systems are based on expert consensus and/or lack multicenter validation. Purpose To evaluate a machine learning-based approach for differentiating between benign and malignant focal bone lesions and to propose a Bone Tumor Imaging Reporting and Data System (BTI-RADS) 2.0 for further risk
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Low-Carbon MRI: Acceleration Strategies to Reduce Emissions and Expand Imaging Capacity. Radiology (IF 12.1) Pub Date : 2025-04-01 Sean A Woolen,Vibhas Deshpande,Amy E Becker,Shuting Dai,Pan Su,Pedro Itriago-Leon,Susie Y Huang,Azadeh Tabari,Kate Hanneman,Jan Vosshenrich,Christopher P Hess,Alastair J Martin
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Generative Artificial Intelligence to Improve Ultralow-Field-Strength MRI Scan Quality. Radiology (IF 12.1) Pub Date : 2025-04-01 Shuncong Wang,Greg Zaharchuk
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Framework for Environmentally Sustainable Radiology: Call for Collaborative Action and a Health-Centered Focus. Radiology (IF 12.1) Pub Date : 2025-04-01 Kate Hanneman,Isabelle Redenius,Marc Dewey,Ania Kielar,Julian Dobranowski,Marie-France Bellin,Jean-Pierre Tasu,Noriko Aida,Masahiro Jinzaki,Noryiuki Tomiyama,Katharine Halliday,Stephen Harden,Oliver Reichardt,Carlo Catalano,Konstantin Nikolaou,Christiane Kuhl,Curtis P Langlotz,Umar Mahmood,Nicoletta Gandolfo,Andrea Giovagnoni
"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology. 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. It is imperative that the entire medical imaging sector acts
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AI to Improve Bone Tumor Malignancy Risk Stratification Reporting. Radiology (IF 12.1) Pub Date : 2025-04-01 Mickael Tordjman,Mark D Murphey
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Nomogram for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer Using MRI-based Intratumoral Heterogeneity Quantification. Radiology (IF 12.1) Pub Date : 2025-04-01 Yao Huang,Xiaoxia Wang,Ying Cao,Xiaosong Lan,Xiaofei Hu,Fangsheng Mou,Huifang Chen,Xueqin Gong,Lan Li,Sun Tang,Lu Wang,Jiuquan Zhang
Background Intratumoral heterogeneity (ITH) in breast cancer contributes to treatment failure and relapse. Noninvasive methods to quantify ITH are currently limited. Purpose To quantify ITH in breast cancer using pretreatment MRI, develop a nomogram to predict pathologic complete response (pCR) to neoadjuvant chemotherapy (NAC) and recurrence-free survival (RFS), and investigate biologic pathways associated
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Adrenal Vein Sampling: The Value of Multisampling and Adrenocorticotropic Hormone Stimulation and a Call to Arms. Radiology (IF 12.1) Pub Date : 2025-04-01 Christos Georgiades
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A New Step Forward in the Extraction of Appropriate Radiology Reports. Radiology (IF 12.1) Pub Date : 2025-04-01 Koichiro Yasaka,Osamu Abe
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RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration. Radiology (IF 12.1) Pub Date : 2025-04-01 Cody H Savage,Gunvant Chaudhari,Andrew D Smith,Jae Ho Sohn
Background Current radiology report search tools are limited to keyword searches, which lack semantic understanding of underlying clinical conditions and are prone to false positives. Semantic search models address this issue, but their development requires scalable methods for generating radiology-specific training data. Purpose To develop a scalable method for training semantic search models for
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Intraprotocol Adrenal Vein Sampling Inconsistencies in Primary Aldosteronism Lateralization. Radiology (IF 12.1) Pub Date : 2025-04-01 Livia M Mermejo,Lili Zhao,Chaelin Lee,Zara Salman,David M Manthei,James Shields,Adina F Turcu
Background Primary aldosteronism can arise from one or both adrenal glands. Adrenal vein sampling (AVS) is the standard of care for identifying patients with lateralized primary aldosteronism who would benefit from surgery. Variability in AVS lateralization has been primarily attributed to cosyntropin use and lateralization index thresholds. Data regarding intraprotocol variability are lacking. Purpose
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Artificial Intelligence System for Interval Breast Cancer Detection May Swamp Screening Programs. Radiology (IF 12.1) Pub Date : 2025-04-01 Philippe Autier,Jean-Benoît Burrion,André Grivegnée
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Building the Foundation for AI in Prostate Cancer Imaging. Radiology (IF 12.1) Pub Date : 2025-04-01 Antonio C Westphalen
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Sarcopenia, Obesity, and Sarcopenic Obesity: Retrospective Audit of Electronic Health Record Documentation versus Automated CT Analysis in 17 646 Patients. Radiology (IF 12.1) Pub Date : 2025-04-01 Juan M Zambrano Chaves,Jason Hom,Leon Lenchik,Akshay S Chaudhari,Robert D Boutin
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Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0. Radiology (IF 12.1) Pub Date : 2025-04-01 Baris Turkbey,Henkjan Huisman,Andriy Fedorov,Katarzyna J Macura,Daniel J Margolis,Valeria Panebianco,Aytekin Oto,Ivo G Schoots,M Minhaj Siddiqui,Caroline M Moore,Olivier Rouvière,Leonardo K Bittencourt,Anwar R Padhani,Clare M Tempany,Masoom A Haider
This document defines the key considerations for developing and reporting an artificial intelligence (AI) interpretation model for the detection of clinically significant prostate cancer (PCa) at MRI in biopsy-naive men with a positive clinical screening status. Specific data and performance metric requirements and a checklist are provided for this use case. Data requirements emphasize the need for
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Intravenous Thrombolysis before Mechanical Thrombectomy in Patients with Acute Ischemic Stroke Due to Medium Vessel Occlusion. Radiology (IF 12.1) Pub Date : 2025-04-01 Yu Guo,Wenmiao Luo
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How I Do It: Contrast-enhanced US Applications in Children. Radiology (IF 12.1) Pub Date : 2025-04-01 Domen Plut,Edward Y Lee,Harriet J Paltiel
Contrast-enhanced US (CEUS) allows a detailed assessment of the tissue microvasculature after intravenous injection of contrast material. The use of CEUS also allows opacification of nonvascular hollow organs and fluid compartments after intracavitary instillation of dilute contrast material. This capability is far beyond that of grayscale and Doppler US techniques. The advantages of CEUS include its
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Angiofibroma of Soft Tissue in the Liver. Radiology (IF 12.1) Pub Date : 2025-04-01 Xi Jia,Mengsu Zeng
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CT Lymph Node Patterns in MSI-High Colon Cancer: A Potential Solution to a Mystery. Radiology (IF 12.1) Pub Date : 2025-04-01 Naama Lev-Cohain,Jacob Sosna
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Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy. Radiology (IF 12.1) Pub Date : 2025-04-01 Su Min Ha,Janie M Lee,Myoung-Jin Jang,Hong-Kyu Kim,Jung Min Chang
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorithms trained on bilateral mammograms for second breast cancer surveillance in patients with a personal history of breast cancer treated with unilateral mastectomy. Purpose To compare the performance of standalone AI for second breast cancer surveillance on unilateral mammograms with that of radiologists
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The Importance of Imaging Metabolism: A Glimpse into the Future. Radiology (IF 12.1) Pub Date : 2025-04-01 John D Port
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Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary. Radiology (IF 12.1) Pub Date : 2025-04-01 Bin Jiang,Nancy Pham,Eric K van Staalduinen,Yongkai Liu,Sanaz Nazari-Farsani,Amirhossein Sanaat,Henk van Voorst,Ates Fettahoglu,Donghoon Kim,Jiahong Ouyang,Ashwin Kumar,Aditya Srivatsan,Ramy Hussein,Maarten G Lansberg,Fernando Boada,Greg Zaharchuk
Background Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, requiring swift and precise clinical decisions based on neuroimaging. Recent advances in deep learning-based computer vision and language artificial intelligence (AI) models have demonstrated transformative performance for several stroke-related applications. Purpose To evaluate deep learning applications for imaging
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Predicting Regional Lymph Node Metastases at CT in Microsatellite Instability-High Colon Cancer. Radiology (IF 12.1) Pub Date : 2025-04-01 Zhen Guan,Zheng-Hang Wang,Xiao-Yan Zhang,Shuo Yan,Ting Xu,Jian Li,Lin Shen,Ying-Shi Sun
Background Early identification of lymph node metastasis is crucial for microsatellite instability-high (MSI-H) colon cancer caused by deficient mismatch repair, but accuracy of CT is poor. Purpose To determine whether CT-detected lymph node distribution patterns can improve lymph node evaluation in MSI-H colon cancer. Materials and Methods This two-center retrospective study included patients with
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Evaluating Whether Standalone AI Really Stands Up. Radiology (IF 12.1) Pub Date : 2025-04-01 Liane E Philpotts
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Comparison of Deuterium Metabolic Imaging with FDG PET in Alzheimer Disease. Radiology (IF 12.1) Pub Date : 2025-04-01 Nikolaj Bøgh,Malene Aastrup,Janne K Mortensen,Hanne Gottrup,Jakob U Blicher,Per Borghammer,Mattias H Kristensen,Esben S S Hansen,Michael Vaeggemose,Christoffer Laustsen
Background The approval of amyloid-targeting therapies has made it increasingly important to differentiate Alzheimer disease (AD) from other causes of dementia. Dysfunctional glucose metabolism is a recognized pathophysiological element in AD that may be visualized with spectroscopic MRI of deuterated glucose and its metabolites, also known as deuterium metabolic imaging (DMI). Purpose To explore the
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MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial). Radiology (IF 12.1) Pub Date : 2025-04-01 Kalina P Slavkova,Ruya Kang,Anum S Kazerouni,Debosmita Biswas,Vivian Belenky,Rhea Chitalia,Hannah Horng,Michael Hirano,Jennifer Xiao,Ralph L Corsetti,Sara H Javid,Derrick W Spell,Antonio C Wolff,Joseph A Sparano,Seema A Khan,Christopher E Comstock,Justin Romanoff,Constantine Gatsonis,Constance D Lehman,Savannah C Partridge,Jon Steingrimsson,Despina Kontos,Habib Rahbar
Background Ductal carcinoma in situ (DCIS) is a nonlethal, preinvasive breast cancer for which breast MRI is best suited for accurate disease extent characterization. DCIS is often overtreated, necessitating robust models for improved risk stratification. Purpose To develop logistic regression models using clinical and MRI-based radiomic features of DCIS and to evaluate the performance of such models
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Distinct Functional MRI Connectivity Patterns and Cortical Volume Variations Associated with Repetitive Blast Exposure in Special Operations Forces Members. Radiology (IF 12.1) Pub Date : 2025-04-01 Andrea Diociasi,Mary A Iaccarino,Scott Sorg,Emily J Lubin,Caroline Wisialowski,Amol Dua,Can Ozan Tan,Rajiv Gupta
Background Special operations forces members often face multiple blast injuries and have a higher risk of traumatic brain injury. However, the relationship between neuroimaging markers, the cumulative severity of injury, and long-term symptoms has not previously been well-established in the literature. Purpose To determine the relationship between the frequency of blast injuries, persistent clinical
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Three-Dimensional Vector MR Elastography for Evaluating Tissue Mechanical Heterogeneity to Assess Liver Disease Progression. Radiology (IF 12.1) Pub Date : 2025-04-01 Hao Wu,Zheng Zhu,Jiahui Li,Caixin Qiu,Peng Xu,Kevin J Glaser,Matthew C Murphy,Sudhakar K Venkatesh,Usman Yaqoob,Rondell Graham,Taofic Mounajjed,Armando Manduca,Christopher T Winkelmann,Hiroaki Yashiro,Rohan Manohar,Alina M Allen,Vijay H Shah,Richard L Ehman,Meng Yin
Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health challenge, with evidence indicating that hepatic inflammation and fibrosis are heterogeneous processes. Purpose To measure liver mechanical property heterogeneity using MR elastography (MRE) and evaluate its potential as a biomarker for tissue inflammation and fibrosis in patients with MASLD. Materials
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The Updated ACR Manual on MR Safety and How It Will Affect Your Practice. Radiology (IF 12.1) Pub Date : 2025-04-01 Emanuel Kanal
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Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports. Radiology (IF 12.1) Pub Date : 2025-04-01 Rajesh Bhayana,Ankush Jajodia,Tanya Chawla,Yangqing Deng,Genevieve Bouchard-Fortier,Masoom Haider,Satheesh Krishna
Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, but radiologist adoption is inconsistent. Automatic assignment of O-RADS scores from reports could increase adoption and accuracy. Purpose To evaluate the accuracy of large language models (LLMs), after strategic optimization, for automatically calculating O-RADS scores from reports. Materials and Methods
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Spatial Viscoelastic Information in Metabolic Dysfunction-associated Steatotic Liver Disease. Radiology (IF 12.1) Pub Date : 2025-04-01 Guilherme Moura Cunha
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US Markers for Differentiating Hepatic Inflammation in Chronic Liver Disease: Still a Long Way to Go. Radiology (IF 12.1) Pub Date : 2025-04-01 Caixin Qiu
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Agenesis of the Intrahepatic Inferior Vena Cava with Pulmonary Venous Fistula. Radiology (IF 12.1) Pub Date : 2025-04-01 Xiaoxu Guo,Yuhan Zhou
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MRI-based Radiomics for Ductal Carcinoma in Situ: Enhancing Its Role in Risk Stratification. Radiology (IF 12.1) Pub Date : 2025-04-01 Soo-Yeon Kim,Ok Hee Woo
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American College of Radiology Manual on MR Safety: 2024 Update and Revisions. Radiology (IF 12.1) Pub Date : 2025-04-01 Ivan Pedrosa,David A Altman,Jonathan R Dillman,Michael N Hoff,Alexander M McKinney,Scott B Reeder,Jeffrey M Rogg,R Jason Stafford,James A Webb,Dina L Hernandez,Robert E Watson
Since the introduction of the American College of Radiology (ACR) MRI safety guidelines in 2002, the indications for use of MRI in clinical care and research have continued to expand. Similarly, MRI technologies have evolved, with multiple field strengths now available for human imaging. While several publications have updated the ACR recommendations since the first guidelines, a single source in a
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Accuracy of Dual-Energy CT-derived Fat Maps and Bone Marrow Edema Maps in Pedal Osteomyelitis Diagnosis. Radiology (IF 12.1) Pub Date : 2025-04-01 Christoph Stern,Andrea B Rosskopf,Adrian A Marth,Georg C Feuerriegel,Martin C Berli,Benjamin Fritz,Reto Sutter
"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology. 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. Background In patients who cannot undergo MRI, dual-energy
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Beyond Proprietary Models: The Potential of Open-Source Large Language Models in Radiology. Radiology (IF 12.1) Pub Date : 2025-04-01 Satvik Tripathi,Ali S Tejani,Tessa S Cook
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US Screening for Liver Lesions in Patients at Risk for HCC: How Well Does LI-RADS US Scoring System Perform? Radiology (IF 12.1) Pub Date : 2025-03-01 Richard G Barr
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AI in Prostate Cancer Diagnosis with MRI: A Friend Not a Foe. Radiology (IF 12.1) Pub Date : 2025-03-01 Carla Harmath
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LI-RADS for Diagnosing Hepatocellular Carcinoma in Patients with Noncirrhotic Chronic Hepatitis C. Radiology (IF 12.1) Pub Date : 2025-03-01 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
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
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Case 335: Accidental Intra-Arterial Injection of Contrast Material. Radiology (IF 12.1) Pub Date : 2025-03-01 Thomas Saliba,Olivier Cappeliez,Sanjiva Pather,Henri Maisonnier
An 84-year-old female patient presented for routine CT angiography (CTA) of the arteries of the neck following right carotid endarterectomy for 75% stenosis, which had been performed without incident 2 months prior. The patient had also been diagnosed with 72% stenosis of the left carotid artery, although it was asymptomatic and thus endarterectomy was not required. The medical history included arterial
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"Fill States": PET-derived Markers of the Spatial Extent of Alzheimer Disease Pathology. Radiology (IF 12.1) Pub Date : 2025-03-01 Elena Doering,Merle C Hoenig,Kathrin Giehl,Verena Dzialas,Grégory Andrassy,Abdelmajid Bader,Andreas Bauer,David Elmenhorst,Johannes Ermert,Silke Frensch,Elena Jäger,Frank Jessen,Philipp Krapf,Tina Kroll,Christoph Lerche,Julia Lothmann,Andreas Matusch,Bernd Neumaier,Oezguer A Onur,Alfredo Ramirez,Nils Richter,Frederik Sand,Lutz Tellmann,Hendrik Theis,Philip Zeyen,Thilo van Eimeren,Alexander Drzezga
Background Alzheimer disease (AD) progression can be monitored by tracking intensity changes in PET standardized uptake value (SUV) ratios of amyloid, tau, and neurodegeneration. The spatial extent ("fill state") of these three hallmark pathologic abnormalities may serve as critical pathophysiologic information, pending further investigation. Purpose To examine the clinical utility and increase the
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Generative AI Reporting of Chest Radiographs: Promise and Perspectives. Radiology (IF 12.1) Pub Date : 2025-03-01 Brent P Little
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Efficacy of Traditional Epidural Patching versus Patching within Spinal Longitudinal Extradural Collections for Ventral Dural Cerebrospinal Fluid Leaks. Radiology (IF 12.1) Pub Date : 2025-03-01 Andrew L Callen,Samantha L Pisani Petrucci,Peter Lennarson,Mark F Sedrak,Adriana Gutierrez,Mark D Mamlouk
Background Epidural blood patching is frequently used to treat spontaneous intracranial hypotension (SIH) due to cerebrospinal fluid leaks. However, its effectiveness in sealing ventral dural tears, particularly in chronic cases with organized spinal longitudinal extradural collections (SLECs), is not well documented. Purpose To assess the efficacy of intra-SLEC patching compared with traditional patching
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Dysplasia Epiphysealis Hemimelica of Humerus and Glenoid. Radiology (IF 12.1) Pub Date : 2025-03-01 Chia-Hui Chen,Chien-Kuo Wang
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Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation. Radiology (IF 12.1) Pub Date : 2025-03-01 Eun Kyoung Hong,Jiyeon Ham,Byungseok Roh,Jawook Gu,Beomhee Park,Sunghun Kang,Kihyun You,Jihwan Eom,Byeonguk Bae,Jae-Bock Jo,Ok Kyu Song,Woong Bae,Ro Woon Lee,Chong Hyun Suh,Chan Ho Park,Seong Jun Choi,Jai Soung Park,Jae-Hyeong Park,Hyun Jeong Jeon,Jeong-Ho Hong,Dosang Cho,Han Seok Choi,Tae Hee Kim
Background Generative artificial intelligence (AI) is anticipated to alter radiology workflows, requiring a clinical value assessment for frequent examinations like chest radiograph interpretation. Purpose To develop and evaluate the diagnostic accuracy and clinical value of a domain-specific multimodal generative AI model for providing preliminary interpretations of chest radiographs. Materials and
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Revisiting the Diagnostic Criteria for Interstitial Pneumonia with Autoimmune Features. Radiology (IF 12.1) Pub Date : 2025-03-01 Jeanne B Ackman
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Evaluation of Autoimmune Features in Patients with Idiopathic Pulmonary Fibrosis and Pathologic Usual Interstitial Pneumonia: Implications for CT Patterns and Prognosis. Radiology (IF 12.1) Pub Date : 2025-03-01 Sohee Park,Jooae Choe,Ho Cheol Kim,Hye Jeon Hwang,Eun Jin Chae,Joon Beom Seo
Background The clinical, radiologic, and prognostic implications of interstitial pneumonia with autoimmune features (IPAF) in patients with idiopathic interstitial pneumonia and pathologic usual interstitial pneumonia (UIP) have not been fully evaluated. Purpose To compare autoimmune features according to CT patterns for the diagnosis of idiopathic pulmonary fibrosis (IPF) and to assess the diagnostic
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Patching within Spinal Longitudinal Extradural Collections for Ventral Dural Tears. Radiology (IF 12.1) Pub Date : 2025-03-01 Horst Urbach
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From SUV Ratio to Fill States: Advancing PET Quantification of Alzheimer Disease through Spatial Extent. Radiology (IF 12.1) Pub Date : 2025-03-01 Mijin Yun,Daesung Kim
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Imaging-based Hepatocellular Carcinoma Diagnosis: An Extension of LI-RADS to Patients with Noncirrhotic Hepatitis C. Radiology (IF 12.1) Pub Date : 2025-03-01 Helmut Schöllnast
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Photon-counting CT-derived Quantification of Hepatic Fat Fraction: A Clinical Validation Study. Radiology (IF 12.1) Pub Date : 2025-03-01 Tatjana Dell,Narine Mesropyan,Yannik Layer,Verena Tischler,Leonie Weinhold,Johannes Chang,Christian Jansen,Bernhard Schmidt,Markus Jürgens,Alexander Isaak,Patrick Kupczyk,Claus Christian Pieper,Carsten Meyer,Julian Luetkens,Daniel Kuetting
Background Steatosis is a critical health problem, creating a growing need for opportunistic screening. Early detection may allow for effective treatment and prevention of further liver complications. Purpose To evaluate photon-counting CT (PCCT) fat quantification on contrast-enhanced scans and validate the results against fat quantification via histopathologic assessment, controlled attenuation parameter
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In Pursuit of KI-RADS: Toward a Single, Evidence-based Imaging Classification of Renal Masses. Radiology (IF 12.1) Pub Date : 2025-03-01 Stuart G Silverman,Ivan Pedrosa,Nicola Schieda,Vitaly Margulis,Payal Kapur,Matthew S Davenport
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
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Guided Antiplatelet Therapy for Stent-Treated Intracranial Aneurysms: A Cluster-Randomized Trial. Radiology (IF 12.1) Pub Date : 2025-03-01 Yangyang Zhou,Jun Wang,Wenqiang Li,Jian Liu,Anxin Wang,Yisen Zhang,Shiqing Mu,Ruhang Xie,Qichen Peng,Limin Zhang,Bin Luo,Yuanli Zhao,Yang Wang,Ziqing Zhang,Yixin Lin,Pinyuan Zhang,Jiren Zhang,Liang Li,Xiangdong Yin,Fushun Xiao,Yunpeng Lin,Xiaoning Liu,Yang Bian,Simin Wang,Jingwei Li,Xiaoli Zhang,David M Hasan,Timo Krings,Hongqi Zhang,Xinjian Yang
Background During neurointerventional treatment of intracranial aneurysms (IAs), poor antiplatelet drug response increases the risk of a cerebral ischemic event (IE). Replacing clopidogrel with ticagrelor may reduce this risk. Purpose To determine whether platelet function test (PFT)-guided antiplatelet therapy reduces incidence of IEs compared with standard dual antiplatelet therapy (SDAT; daily oral
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Personalized Platelet Protocols: Progress, Pitfalls, and Potential. Radiology (IF 12.1) Pub Date : 2025-03-01 David F Kallmes,Dorothea Altschul
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CT-guided Percutaneous Ethanol Sympatholysis for Hyperhidrosis: How I Do It. Radiology (IF 12.1) Pub Date : 2025-03-01 Christos Georgiades
Hyperhidrosis, excessive sweating from the eccrine sweat glands, is caused by overactivity of the sympathetic nerves. Facial, axillary, and/or palmar hyperhidrosis (excessive sweating of the face, armpits, and hands) has a reported prevalence of 1%-1.6%. This condition is initially treated conservatively using a combination of topical and pharmacologic treatments. Surgical sympathectomy or percutaneous
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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. Radiology (IF 12.1) Pub Date : 2025-03-01 Karin E Dembrower,Alessio Crippa,Martin Eklund,Fredrik Strand
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