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Glioma Radiogenomics for the Reading Room Radiology (IF 19.7) Pub Date : 2024-05-07 Chaitra Badve, Tiffany R. Hodges
Abstract not available
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MRI Scoring Systems for Predicting Isocitrate Dehydrogenase Mutation and Chromosome 1p/19q Codeletion in Adult-type Diffuse Glioma Lacking Contrast Enhancement Radiology (IF 19.7) Pub Date : 2024-05-07 Koung Mi Kang, Jiyoung Song, Yunhee Choi, Chanrim Park, Ji Eun Park, Ho Sung Kim, Sung-Hye Park, Chul-Kee Park, Seung Hong Choi
Background According to 2021 World Health Organization criteria, adult-type diffuse gliomas include glioblastoma, isocitrate dehydrogenase (IDH)–wildtype; oligodendroglioma, IDH-mutant and 1p/19q-codeleted; and astrocytoma, IDH-mutant, even when contrast enhancement is lacking. Purpose To develop and validate simple scoring systems for predicting IDH and subsequent 1p/19q codeletion status in gliomas
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Evaluation of a Cascaded Deep Learning–based Algorithm for Prostate Lesion Detection at Biparametric MRI Radiology (IF 19.7) Pub Date : 2024-05-07 Yue Lin, Enis C. Yilmaz, Mason J. Belue, Stephanie A. Harmon, Jesse Tetreault, Tim E. Phelps, Katie M. Merriman, Lindsey Hazen, Charisse Garcia, Dong Yang, Ziyue Xu, Nathan S. Lay, Antoun Toubaji, Maria J. Merino, Daguang Xu, Yan Mee Law, Sandeep Gurram, Bradford J. Wood, Peter L. Choyke, Peter A. Pinto, Baris Turkbey
Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader variation, which results in performance inconsistency. Artificial intelligence (AI) models can assist in mpMRI interpretation, but large training data sets and extensive model testing are required. Purpose To evaluate a biparametric MRI AI algorithm
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Efficacy and Safety of Radiation Segmentectomy with 90Y Resin Microspheres for Hepatocellular Carcinoma Radiology (IF 19.7) Pub Date : 2024-05-07 Ammar Sarwar, M. Saad Malik, Nhi H. Vo, Leo L. Tsai, Muhammad M. Tahir, Michael P. Curry, Andreea M. Catana, Andrea J. Bullock, John A. Parker, Devin E. Eckhoff, Imad A. Nasser, Jeffrey L. Weinstein, Muneeb Ahmed
Background Limited data are available on radiation segmentectomy (RS) for treatment of hepatocellular carcinoma (HCC) using yttrium 90 (90Y) resin microsphere doses determined by using a single-compartment medical internal radiation dosimetry (MIRD) model. Purpose To evaluate the efficacy and safety of RS treatment of HCC with 90Y resin microspheres using a single-compartment MIRD model and correlate
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Study of a Mammoth Tooth Using CT Radiology (IF 19.7) Pub Date : 2024-05-07 Igor Eduardovich Pamirsky, Kirill Sergeevich Golokhvast
Abstract not available
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Enhancing AI-assisted Interpretation of Chest Radiographs: A Critical Analysis of Methods and Applicability Radiology (IF 19.7) Pub Date : 2024-05-07 Shannon L. Walston , Daiju Ueda
Abstract not available
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Intrathyroid Thymic Tissue in Children with DICER1 Syndrome Radiology (IF 19.7) Pub Date : 2024-05-07 Marek Niedziela, William D. Foulkes
Abstract not available
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Addition of Contrast-enhanced Mammography to Tomosynthesis for Breast Cancer Detection in Women with a Personal History of Breast Cancer: Prospective TOCEM Trial Interim Analysis Radiology (IF 19.7) Pub Date : 2024-04-30 Wendie A. Berg, Jeremy M. Berg, Andriy I. Bandos, Adrienne Vargo, Denise M. Chough, Amy H. Lu, Marie A. Ganott, Amy E. Kelly, Bronwyn E. Nair, Jamie Y. Hartman, Uzma Waheed, Christiane M. Hakim, Kimberly S. Harnist, Ruthane F. Reginella, Dilip D. Shinde, Bea A. Carlin, Cathy S. Cohen, Luisa P. Wallace, Jules H. Sumkin, Margarita L. Zuley
Background Digital breast tomosynthesis (DBT) is often inadequate for screening women with a personal history of breast cancer (PHBC). The ongoing prospective Tomosynthesis or Contrast-Enhanced Mammography, or TOCEM, trial includes three annual screenings with both DBT and contrast-enhanced mammography (CEM). Purpose To perform interim assessment of cancer yield, stage, and recall rate when CEM is
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Case 324: CHANTER Syndrome Radiology (IF 19.7) Pub Date : 2024-04-30 Pokhraj Prakashchandra Suthar, Kathryn Hughes, Mustafa Mafraji, Melih Akyuz, Miral Jhaveri, Sumeet G. Dua
History A 69-year-old right-handed man with a history of substance use disorder, hypertension, and diabetes presented to the emergency department in an unresponsive state. Upon examination, apart from tachycardia (heart rate, 108 beats per minute), vital signs were within normal ranges (blood pressure, 134/102 mm Hg; temperature, 97.9 ºF (36.6 ºC); respiratory rate, 16 per minute; oxygen saturation
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BI-RADS Category Assignments by GPT-3.5, GPT-4, and Google Bard: A Multilanguage Study Radiology (IF 19.7) Pub Date : 2024-04-30 Andrea Cozzi, Katja Pinker, Andri Hidber, Tianyu Zhang, Luca Bonomo, Roberto Lo Gullo, Blake Christianson, Marco Curti, Stefania Rizzo, Filippo Del Grande, Ritse M. Mann, Simone Schiaffino
Background The performance of publicly available large language models (LLMs) remains unclear for complex clinical tasks. Purpose To evaluate the agreement between human readers and LLMs for Breast Imaging Reporting and Data System (BI-RADS) categories assigned based on breast imaging reports written in three languages and to assess the impact of discordant category assignments on clinical management
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Quantitative Interstitial Abnormality Progression: Association with Acute Respiratory Events and Implications for Clinical Practice Radiology (IF 19.7) Pub Date : 2024-04-30 Brent P. Little
Abstract not available
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Super-Resolution US Imaging of Focal Nodular Hyperplasia Radiology (IF 19.7) Pub Date : 2024-04-30 Qian-qian Zeng, Ping Liang
Abstract not available
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Intracranial Dermoid Cyst Radiology (IF 19.7) Pub Date : 2024-04-30 Dhairya A. Lakhani, Meaghan O. Morris, Francis Deng
Abstract not available
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Lower Extremity Growth according to AI Automated Femorotibial Length Measurement on Slot-Scanning Radiographs in Pediatric Patients Radiology (IF 19.7) Pub Date : 2024-04-30 John R. Zech, Laura Santos, Steven Staffa, David Zurakowski, Katherine A. Rosenwasser, Andy Tsai, Diego Jaramillo
Background Commonly used pediatric lower extremity growth standards are based on small, dated data sets. Artificial intelligence (AI) enables creation of updated growth standards. Purpose To train an AI model using standing slot-scanning radiographs in a racially diverse data set of pediatric patients to measure lower extremity length and to compare expected growth curves derived using AI measurements
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Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking Radiology (IF 19.7) Pub Date : 2024-04-30 Bina Choi, Alejandro A. Díaz, Ruben San José Estépar, Nicholas Enzer, Victor Castro, MeiLan K. Han, George R. Washko, Raúl San José Estépar, Samuel Y. Ash, for the COPDGene Study
Background Acute respiratory disease (ARD) events are often thought to be airway-disease related, but some may be related to quantitative interstitial abnormalities (QIAs), which are subtle parenchymal abnormalities on CT scans associated with morbidity and mortality in individuals with a smoking history. Purpose To determine whether QIA progression at CT is associated with ARD and severe ARD events
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Case 328 Radiology (IF 19.7) Pub Date : 2024-04-30 Cristina Agostinis, Elide Lupi
History A 45-year-old female patient with diffuse osteoarticular pain, particularly low back pain, was referred by a rheumatologist for an updated radiologic evaluation. The patient had experienced these symptoms for many years and was diagnosed with human leukocyte antigen B27–negative spondyloarthritis approximately 11 years prior, based on findings of bilateral erosive sacroiliitis at pelvic radiography
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Erratum for: Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs Radiology (IF 19.7) Pub Date : 2024-04-30 Souhail Bennani, Nor-Eddine Regnard, Jeanne Ventre, Louis Lassalle, Toan Nguyen, Alexis Ducarouge, Lucas Dargent, Enora Guillo, Elodie Gouhier, Sophie-Hélène Zaimi, Emma Canniff, Cécile Malandrin, Philippe Khafagy, Hasmik Koulakian, Marie-Pierre Revel, Guillaume Chassagnon
Abstract not available
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B-mode US and Deep Learning Rivals Shear-Wave Elastography in Screening for Fibrosis Radiology (IF 19.7) Pub Date : 2024-04-23 Adarsh Ghosh
Abstract not available
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Planetary Health and Radiology: Why We Should Care and What We Can Do Radiology (IF 19.7) Pub Date : 2024-04-23 Hayley McKee, Maura J. Brown, Helen H. R. Kim, Florence X. Doo, Hayley Panet, Andrea G. Rockall, Reed A. Omary, Kate Hanneman
Climate change adversely affects the well-being of humans and the entire planet. A planetary health framework recognizes that sustaining a healthy planet is essential to achieving individual, community, and global health. Radiology contributes to the climate crisis by generating greenhouse gas (GHG) emissions during the production and use of medical imaging equipment and supplies. To promote planetary
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Energy and Greenhouse Gas Emission Savings Associated with Implementation of an Abbreviated Cardiac MRI Protocol Radiology (IF 19.7) Pub Date : 2024-04-23 Fadi Ibrahim, Farah Cadour, Adrienne E. Campbell-Washburn, Bradley D. Allen, Jan Vosshenrich, Maura J. Brown, Paaladinesh Thavendiranathan, Kate Hanneman
Supplemental material is available for this article. See also the article by Lenkinski and Rofsky in this issue. See also the article by McKee et al in this issue.
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US-based Sequential Algorithm Integrating an AI Model for Advanced Liver Fibrosis Screening Radiology (IF 19.7) Pub Date : 2024-04-23 Li-Da Chen, Ze-Rong Huang, Hong Yang, Mei-Qing Cheng, Hang-Tong Hu, Xiao-Zhou Lu, Ming-De Li, Rui-Fang Lu, Dan-Ni He, Peng Lin, Qiu-Ping Ma, Hui Huang, Si-Min Ruan, Wei-Ping Ke, Bing Liao, Bi-Hui Zhong, Jie Ren, Ming-De Lu, Xiao-Yan Xie, Wei Wang
Background Noninvasive tests can be used to screen patients with chronic liver disease for advanced liver fibrosis; however, the use of single tests may not be adequate. Purpose To construct sequential clinical algorithms that include a US deep learning (DL) model and compare their ability to predict advanced liver fibrosis with that of other noninvasive tests. Materials and Methods This retrospective
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MRI in the Evaluation of Cryptogenic Stroke and Embolic Stroke of Undetermined Source Radiology (IF 19.7) Pub Date : 2024-04-23 Jiayu Xiao, Roy A. Poblete, Alexander Lerner, Peggy L. Nguyen, Jae W. Song, Nerses Sanossian, Alison G. Wilcox, Shlee S. Song, Patrick D. Lyden, Jeffrey L. Saver, Bruce A. Wasserman, Zhaoyang Fan
Cryptogenic stroke refers to a stroke of undetermined etiology. It accounts for approximately one-fifth of ischemic strokes and has a higher prevalence in younger patients. Embolic stroke of undetermined source (ESUS) refers to a subgroup of patients with nonlacunar cryptogenic strokes in whom embolism is the suspected stroke mechanism. Under the classifications of cryptogenic stroke or ESUS, there
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Contrast Media–driven Anthropogenic Gadolinium: Knowns and Unknowns Radiology (IF 19.7) Pub Date : 2024-04-23 Robert E. Lenkinski, Neil M. Rofsky
Gadolinium-based contrast agents (GBCAs) have augmented the capabilities of MRI, which has led to their widespread and increasing use in radiology practice. GBCAs are introduced into the environment through disposal of unused product and elimination after intravenous injection, both primarily via liquid dispersion into the environment. This human introduction of gadolinium into the environment, referred
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Left Ventricular Rupture after Acute Myocardial Infarction Radiology (IF 19.7) Pub Date : 2024-04-23 Ashley Elizabeth Prosper, Cameron Hassani
Abstract not available
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Large Language Models as an Inexpensive and Effective Extra Set of Eyes in Radiology Reporting Radiology (IF 19.7) Pub Date : 2024-04-16 Howard P. Forman
Abstract not available
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US-guided Percutaneous Radiofrequency Ablation for Secondary Hyperparathyroidism: Long-term Outcomes and Prognostic Factors Radiology (IF 19.7) Pub Date : 2024-04-16 Wenwen Yue, Tingting Jiang, Zisheng Ai, Erya Deng, Huihui Chai, Xiaolong Li, Hongfeng He, Zhengxian Zhang, Ning Weng, Xiachuan Qin, Jing Fan, Xiaoqing Tang, Wei Heng, Yong Li, Liping Sun, Chengzhong Peng, Huixiong Xu
Background Although favorable outcomes have been reported with radiofrequency ablation (RFA) for secondary hyperparathyroidism (SHPT), the long-term efficacy remains insufficiently investigated. Purpose To evaluate the long-term efficacy and safety of US-guided percutaneous RFA in patients with SHPT undergoing dialysis and to identify possible predictors associated with treatment failure. Materials
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Data Extraction from Free-Text Reports on Mechanical Thrombectomy in Acute Ischemic Stroke Using ChatGPT: A Retrospective Analysis Radiology (IF 19.7) Pub Date : 2024-04-16 Nils C. Lehnen, Franziska Dorn, Isabella C. Wiest, Hanna Zimmermann, Alexander Radbruch, Jakob Nikolas Kather, Daniel Paech
Background Procedural details of mechanical thrombectomy in patients with ischemic stroke are important predictors of clinical outcome and are collected for prospective studies or national stroke registries. To date, these data are collected manually by human readers, a labor-intensive task that is prone to errors. Purpose To evaluate the use of the large language models (LLMs) GPT-4 and GPT-3.5 to
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Chronic Nonspinal Osteomyelitis in Adults: Consensus Recommendations on Percutaneous Bone Biopsies from the Society of Academic Bone Radiologists Radiology (IF 19.7) Pub Date : 2024-04-16 Patrick Debs, Robert D. Boutin, Stacy E. Smith, Maja Babic, Donna Blankenbaker, Venita Chandra, Mark Murphey, Elizabeth Thottacherry, Christopher Kreulen, Laura M. Fayad
The diagnosis and management of chronic nonspinal osteomyelitis can be challenging, and guidelines regarding the appropriateness of performing percutaneous image-guided biopsies to acquire bone samples for microbiological analysis remain limited. An expert panel convened by the Society of Academic Bone Radiologists developed and endorsed consensus statements on the various indications for percutaneous
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Clinical Utility of a CT-based AI Prognostic Model for Segmentectomy in Non–Small Cell Lung Cancer Radiology (IF 19.7) Pub Date : 2024-04-16 Kwon Joong Na, Young Tae Kim, Jin Mo Goo, Hyungjin Kim
Background Currently, no tool exists for risk stratification in patients undergoing segmentectomy for non–small cell lung cancer (NSCLC). Purpose To develop and validate a deep learning (DL) prognostic model using preoperative CT scans and clinical and radiologic information for risk stratification in patients with clinical stage IA NSCLC undergoing segmentectomy. Materials and Methods In this single-center
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Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy Radiology (IF 19.7) Pub Date : 2024-04-16 Roman Johannes Gertz, Thomas Dratsch, Alexander Christian Bunck, Simon Lennartz, Andra-Iza Iuga, Martin Gunnar Hellmich, Thorsten Persigehl, Lenhard Pennig, Carsten Herbert Gietzen, Philipp Fervers, David Maintz, Robert Hahnfeldt, Jonathan Kottlors
Background Errors in radiology reports may occur because of resident-to-attending discrepancies, speech recognition inaccuracies, and large workload. Large language models, such as GPT-4 (ChatGPT; OpenAI), may assist in generating reports. Purpose To assess effectiveness of GPT-4 in identifying common errors in radiology reports, focusing on performance, time, and cost-efficiency. Materials and Methods
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Hepatic CT Perfusion in Budd-Chiari Syndrome before and after Intervention Radiology (IF 19.7) Pub Date : 2024-04-16 Lulu Lyu, Peng Xu
Abstract not available
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Validation of Diagnostic Thresholds for Compensated Advanced Chronic Liver Disease Using Supersonic Shear Imaging Radiology (IF 19.7) Pub Date : 2024-04-09 Yeri Lee, Nam Hee Kim, Ji Hun Kang, Young Seo Cho, Yongsoo Kim, Jihyun An, Joo Hyun Sohn
Background The Society of Radiologists in Ultrasound (SRU) has proposed thresholds for acoustic radiation force impulse techniques to diagnose compensated advanced chronic liver disease (cACLD). However, the diagnostic performance of these thresholds has not been extensively validated. Purpose To validate the SRU thresholds in patients with chronic liver disease who underwent supersonic shear imaging
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Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening Radiology (IF 19.7) Pub Date : 2024-04-09 Yue Liu, Moein Sorkhei, Karin Dembrower, Hossein Azizpour, Fredrik Strand, Kevin Smith
Background Mammographic density measurements are used to identify patients who should undergo supplemental imaging for breast cancer detection, but artificial intelligence (AI) image analysis may be more effective. Purpose To assess whether AISmartDensity—an AI-based score integrating cancer signs, masking, and risk—surpasses measurements of mammographic density in identifying patients for supplemental
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Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models Radiology (IF 19.7) Pub Date : 2024-04-09 Zhengsong Pan, Ge Hu, Zhenchen Zhu, Weixiong Tan, Wei Han, Zhen Zhou, Wei Song, Yizhou Yu, Lan Song, Zhengyu Jin
Background Preoperative discrimination of preinvasive, minimally invasive, and invasive adenocarcinoma at CT informs clinical management decisions but may be challenging for classifying pure ground-glass nodules (pGGNs). Deep learning (DL) may improve ternary classification. Purpose To determine whether a strategy that includes an adjudication approach can enhance the performance of DL ternary classification
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Diffuse Cavernous Hemangioma Radiology (IF 19.7) Pub Date : 2024-04-09 Zongli Han, Yanli Du
Abstract not available
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Society of Radiologists in Ultrasound Consensus on Routine Pelvic US for Endometriosis Radiology (IF 19.7) Pub Date : 2024-04-09 Scott W. Young, Priyanka Jha, Luciana Chamié, Shuchi Rodgers, Rosanne M. Kho, Mindy M. Horrow, Phyllis Glanc, Myra Feldman, Yvette Groszmann, Zaraq Khan, Steven L. Young, Liina Poder, Tatnai L. Burnett, Eric M. Hu, Susan Egan, Wendaline VanBuren
Endometriosis is a prevalent and potentially debilitating condition that mostly affects individuals of reproductive age, and often has a substantial diagnostic delay. US is usually the first-line imaging modality used when patients report chronic pelvic pain or have issues of infertility, both common symptoms of endometriosis. Other than the visualization of an endometrioma, sonologists frequently
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Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT Radiology (IF 19.7) Pub Date : 2024-04-09 Jae Ho Sohn, Brandon K. K. Fields
Abstract not available
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Evaluation of Liver Stiffness Values Requires Consideration of Many Factors Radiology (IF 19.7) Pub Date : 2024-04-09 Richard G. Barr
Abstract not available
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AI-driven Selection of Candidates for Supplemental Breast Cancer Screening Radiology (IF 19.7) Pub Date : 2024-04-09 Myoung Kyoung Kim, Jung Min Chang
Abstract not available
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Caution on the CONTRRAST Trial Radiology (IF 19.7) Pub Date : 2024-04-09 Sarah Eskreis-Winkler, Maxine S. Jochelson, Katja Pinker, Janice S. Sung, Christopher Comstock
Abstract not available
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Mentoring Radiologists and Imaging Scientists in the Postpandemic Digital Era: A Student’s Perspective Radiology (IF 19.7) Pub Date : 2024-04-09 Tom Batan, Shane C. Davis
Abstract not available
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Left Ventricular Trabeculations at Cardiac MRI: Reference Ranges and Association with Cardiovascular Risk Factors in UK Biobank Radiology (IF 19.7) Pub Date : 2024-04-02 Nay Aung, Axel Bartoli, Elisa Rauseo, Sebastien Cortaredona, Mihir M. Sanghvi, Joris Fournel, Badih Ghattas, Mohammed Y. Khanji, Steffen E. Petersen, Alexis Jacquier
Background The extent of left ventricular (LV) trabeculation and its relationship with cardiovascular (CV) risk factors is unclear. Purpose To apply automated segmentation to UK Biobank cardiac MRI scans to (a) assess the association between individual characteristics and CV risk factors and trabeculated LV mass (LVM) and (b) establish normal reference ranges in a selected group of healthy UK Biobank
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Comparison of Four Diagnostic Guidelines for Hepatocellular Carcinoma Using Gadoxetic Acid–enhanced Liver MRI Radiology (IF 19.7) Pub Date : 2024-04-02 Jeong Hee Yoon, Young Kon Kim, Jeong Woo Kim, Won Chang, Joon-Il Choi, Beom Jin Park, Jin-Young Choi, Seung-seob Kim, Hee Sun Park, Eun Sun Lee, Jeong-Sik Yu, Seong Jin Park, Myung-Won You, Chang Hee Lee, Jeong Min Lee
Background Noninvasive diagnostic guidelines for hepatocellular carcinoma (HCC) vary across different global geographic areas, especially regarding criteria about gadoxetic acid–enhanced MRI. Purpose To compare the diagnostic performance of four different international HCC diagnosis guidelines and readers’ judgment in diagnosing HCC using gadoxetic acid–enhanced MRI in patients at high risk for HCC
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Microwave Ablation versus Surgical Resection for US-detected Multifocal T1N0M0 Papillary Thyroid Carcinoma: A 10-Center Study Radiology (IF 19.7) Pub Date : 2024-04-02 Zhen-Long Zhao, Shu-Rong Wang, Gang Dong, Ying Liu, Jun-Feng He, Li-Li Shi, Jian-Qin Guo, Zhong-Hua Wang, Zhi-Bin Cong, Li-Hong Liu, Bei-Bei Yang, Chun-Ping Qu, Wen-Quan Niu, Ying Wei, Li-Li Peng, Yan Li, Nai-Cong Lu, Jie Wu, Ming-An Yu
Background Microwave ablation (MWA) is currently under preliminary investigation for the treatment of multifocal papillary thyroid carcinoma (PTC) and has shown promising treatment efficacy. Compared with surgical resection (SR), MWA is minimally invasive and could preserve thyroid function. However, a comparative analysis between MWA and SR is warranted to draw definitive conclusions. Purpose To compare
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Assessing Left Ventricular Trabeculation with Cardiac MRI in the World’s Largest Population-based Cohort Study Radiology (IF 19.7) Pub Date : 2024-04-02 Nadine Kawel-Boehm
Abstract not available
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Rapid Onset of Intestinal Lymphoma in Crohn Disease Radiology (IF 19.7) Pub Date : 2024-04-02 Xin-yue Wang, Xue-hua Li
Abstract not available
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Emerging Theranostics for Prostate Cancer and a Model of Prostate-specific Membrane Antigen Therapy Radiology (IF 19.7) Pub Date : 2024-04-02 Kerry Jewell, Michael S. Hofman, Jeremy S. L. Ong, Sidney Levy
There is increasing demand worldwide to develop diagnostic and therapeutic (theranostic) markers for prostate cancer. One target of interest is prostate-specific membrane antigen (PSMA), a protein which is overexpressed in prostate cancer cells. Over the past decade, a growing body of literature has demonstrated that radiolabeled ligands that target PSMA show favorable clinical response and survival
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Malpractice From Afar: Teleradiology May Increase Malpractice Risk Radiology (IF 19.7) Pub Date : 2024-04-02 Jonathan L. Mezrich
Abstract not available
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Neurofibroma of the Ascending Aorta Combined with Aortic Dissection Radiology (IF 19.7) Pub Date : 2024-04-02 Lan Shang, Weifang Kong
Abstract not available
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The Importance of Cohen κ Coefficients in Clinical Research: Can We Ignore It? Radiology (IF 19.7) Pub Date : 2024-04-02 Yong Xie, Jian Wang, Yinghua Zou
Abstract not available
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Assessment of Claimant, Clinical, and Financial Characteristics of Teleradiology Medical Malpractice Cases Radiology (IF 19.7) Pub Date : 2024-04-02 Adam C. Schaffer, Tarek Zawi, Jonathan S. Einbinder, Luke Sato, Aaron D. Sodickson
Background The increasing use of teleradiology has been accompanied by concerns relating to risk management and patient safety. Purpose To compare characteristics of teleradiology and nonteleradiology radiology malpractice cases and identify contributing factors underlying these cases. Materials and Methods In this retrospective analysis, a national database of medical malpractice cases was queried
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AI as a Secondary Reader in Mammography Radiology (IF 19.7) Pub Date : 2024-04-02 Tom Batan
Abstract not available
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Slow Growth, Excellent Prognosis: The Treatment and Overtreatment of Papillary Thyroid Cancer Radiology (IF 19.7) Pub Date : 2024-04-02 Christos Georgiades
Abstract not available
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Erratum for: Direct and Indirect Chimeric Antigen Receptor T-Cell Imaging with PET/MRI in a Tumor Xenograft Model Radiology (IF 19.7) Pub Date : 2024-03-26 Seog-Young Kim, Hyunsu Soh, Jin Hwa Jung, Eun Hye Cho, Hyori Kim, Ji-Min Ju, Joong Hyuk Sheen, Sang Ju Lee, Seung Jun Oh, Sang-Jin Lee, Junho Chung, Jin-Sook Ryu
Abstract not available
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Voriconazole-Induced Periostitis in a Patient after Orthotopic Liver Transplantation Radiology (IF 19.7) Pub Date : 2024-03-26 Pokhraj Prakashchandra Suthar, Sumeet Virmani
Abstract not available
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Abbreviated Breast MRI: State of the Art Radiology (IF 19.7) Pub Date : 2024-03-26 Christiane K. Kuhl
Abbreviated MRI is an umbrella term, defined as a focused MRI examination tailored to answer a single specific clinical question. For abbreviated breast MRI, this question is: “Is there evidence of breast cancer?” Abbreviated MRI of the breast makes maximum use of the fact that the kinetics of breast cancers and of benign tissue differ most in the very early postcontrast phase; therefore, abbreviated
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Detection of Extranodal Extension at Pretreatment Rectal Cancer MRI: Promising for Staging and Prognosis Radiology (IF 19.7) Pub Date : 2024-03-26 Steven C. Eberhardt
Abstract not available
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Deep Learning to Differentiate Benign and Malignant Vertebral Fractures at Multidetector CT Radiology (IF 19.7) Pub Date : 2024-03-26 Sarah C. Foreman, David Schinz, Malek El Husseini, Sophia S. Goller, Jürgen Weißinger, Anna-Sophia Dietrich, Martin Renz, Marie-Christin Metz, Georg C. Feuerriegel, Benedikt Wiestler, Robert Stahl, Benedikt J. Schwaiger, Marcus R. Makowski, Jan S. Kirschke, Alexandra S. Gersing
Background Differentiating between benign and malignant vertebral fractures poses diagnostic challenges. Purpose To investigate the reliability of CT-based deep learning models to differentiate between benign and malignant vertebral fractures. Materials and Methods CT scans acquired in patients with benign or malignant vertebral fractures from June 2005 to December 2022 at two university hospitals
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Erratum for: It Is Time to Use Apparent Diffusion Coefficient in Breast MRI Diagnostics Radiology (IF 19.7) Pub Date : 2024-03-26 Maya Honda, Mami Iima
Abstract not available
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Speaking the Same Language: The Fleischner Society Glossary for Thoracic Imaging Radiology (IF 19.7) Pub Date : 2024-03-26 Lida P. Hariri, Mary Beth Beasley, Lynette M. Sholl, Kathryn A. Wikenheiser-Brokamp
Abstract not available