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Investigating synergy between beta-blockers and transarterial chemoembolization in the treatment of hepatocellular carcinoma: preliminary data from a propensity matched analysis Clin. Imaging (IF 1.8) Pub Date : 2024-09-10 Martin B.G. Mutonga, Annabella Shewarega, Moritz Gross, Vinzent H. Kahl, David C. Madoff
Favorable clinical outcomes have been reported with the adjunct use of beta-blockers in cancer treatment, hypothetically secondary to their anti-angiogenic/anti-proliferative effects. Hereby, we investigate whether there is synergy between beta-blockers and TACE in the treatment of HCC. 36 HCC patients on beta-blockers (mean dose of 48 mg daily) at the time of first-line treatment with TACE at our
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AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening Clin. Imaging (IF 1.8) Pub Date : 2024-09-10 Adam E.M. Eltorai, Dominick J. Parris, Mary Jo Tarrant, William W. Mayo-Smith, Katherine P. Andriole
AI adoption requires perceived value by end-users. AI-enabled opportunistic CT screening (OS) detects incidental clinically meaningful imaging risk markers on CT for potential preventative health benefit. This investigation assesses radiologists' perspectives on AI and OS. An online survey was distributed to 7500 practicing radiologists among ACR membership of which 4619 opened the emails. Familiarity
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Central nervous system involvement in Erdheim-Chester disease: a magnetic resonance imaging study Clin. Imaging (IF 1.8) Pub Date : 2024-09-04 Aryan Zahergivar, Fatemeh Dehghani Firouzabadi, Fatemeh Homayounieh, Mahshid Golagha, Fahimul Huda, Nadia Biassou, Ritu Shah, Moozhan Nikpanah, Mojdeh Mirmomen, Faraz Farhadi, Rahul H. Dave, Skand Shekhar, William A. Gahl, Juvianee I. Estrada-Veras, Ashkan A. Malayeri, Kevin O'Brien
To characterize brain MR imaging findings in a cohort of 58 patients with ECD and to evaluate relationship between these findings and the pathogenic variant. ECD patients of any gender and ethnicity, aged 2–80 years, with biopsy-confirmed ECD were eligible to enroll in this study. Two radiologists experienced in evaluating ECD CNS disease activity reviewed MRI studies. Any disagreements were resolved
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Imaging finding of renal masses associated with pathogenic variation in succinate dehydrogenase subunit B gene Clin. Imaging (IF 1.8) Pub Date : 2024-09-03 Aditi Chaurasia, Evrim B. Turkbey, Fatemeh Dehghani Firouzabadi, Shiva Singh, Safa Samimi, Nikhil Gopal, Corina Millo, Mark W. Ball, W. Marston Linehan, Ashkan A. Malayeri
Succinate dehydrogenase (SDH)-deficient renal cell carcinoma (RCC) is a newly defined, rare subtype of renal cancer, associated with pathogenic variations in the Succinate Dehydrogenase Subunit B (SDHB) gene. Our aim is to investigate the imaging findings of SDHB-associated renal tumors, utilizing cross-sectional and FDG-PET imaging in patients with pathogenic variations in SDHB gene, to facilitate
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Effect of accumulating experience on diagnostic performance of VI-RADS in bladder cancer Clin. Imaging (IF 1.8) Pub Date : 2024-09-02 Nesrin Gunduz, Mahmut Bilal Dogan, Huseyin Ozgur Kazan, Meftun Culpan, Asıf Yıldırım, Gulnur Erdem
MRI-based VI-RADS score aids in differentiating MIBC and NMIBC, but the experience's impact remains unexplored. We aimed to determine the effect of accumulating experience in the diagnostic performance of VI-RADS. In our previously published series 71 primary bladder cancer patients who underwent multiparametric MRI before the transurethral resection were analyzed. The radiologist who assessed the
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“Application of CT radiomics in brain metastasis of lung cancer: A systematic review and meta-analysis” Clin. Imaging (IF 1.8) Pub Date : 2024-09-02 Ting Li, Tian Gan, Jingting Wang, Yun Long, Kemeng Zhang, Meiyan Liao
This study aimed to systematically assess the quality and performance of computed tomography (CT) radiomics studies in predicting brain metastasis (BM) among patients with lung cancer. The PubMed, Embase and Web of Science were searched for studies predicting BM in patients with lung cancer using CT-based radiomics features. Information regarding patients, imaging, and radiomics analysis was extracted
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I saw the “hot cross bun” sign: a knead-to-know finding Clin. Imaging (IF 1.8) Pub Date : 2024-09-02 Siddharth Venkatraman, Francis Deng
The “hot cross bun” sign is a rare radiologic sign seen on magnetic resonance imaging that can help direct the diagnosis of the cerebellar subtype of multiple system atrophy. It indicates damage to the transverse pontocerebellar fibers and can be seen in other pathologies including spinocerebellar ataxia.
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Diagnostic performance of dual-energy CT in detecting bone marrow edema in lower limb joint injuries: a meta-analysis Clin. Imaging (IF 1.8) Pub Date : 2024-09-02 Yong Wang, Kai Huang, Qiaofeng Guo, Hongtao Hou
We aimed to evaluate the diagnostic performance of dual-energy computed tomography (DECT) in detecting bone marrow edema (BME) in patients with lower limb joint injuries. A thorough literature search was conducted across the PubMed, Embase, and Web of Science databases to identify relevant studies up to April 2024. Studies examining the diagnostic performance of DECT in detecting BME in lower limb
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Comment on “Evaluation of responses to cardiac imaging questions by the artificial intelligence large language model ChatGPT” Clin. Imaging (IF 1.8) Pub Date : 2024-09-01 Mohd Rafi Lone, Shahab Saquib Sohail
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Can large language models be new supportive tools in coronary computed tomography angiography reporting? Clin. Imaging (IF 1.8) Pub Date : 2024-08-31 Eren Çamur, Turay Cesur, Yasin Celal Güneş
The advent of large language models (LLMs) marks a transformative leap in natural language processing, offering unprecedented potential in radiology, particularly in enhancing the accuracy and efficiency of coronary artery disease (CAD) diagnosis. While previous studies have explored the capabilities of specific LLMs like ChatGPT in cardiac imaging, a comprehensive evaluation comparing multiple LLMs
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Dr. Carolyn Meltzer: Pioneer, innovator, mentor, and 2023 ACR Gold Medal winner Clin. Imaging (IF 1.8) Pub Date : 2024-08-30 Nina S. Collier, Patrick M. Colletti
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The science and practice of imaging-based screening: What the radiologist needs to know Clin. Imaging (IF 1.8) Pub Date : 2024-08-22 Hannah S. Milch, Linda B. Haramati
Imaging-based screening is an important public health focus and a fundamental part of Diagnostic Radiology. Hence, radiologists should be familiar with the concepts that drive imaging-based screening practice including goals, risks, biases and clinical trials. This review article discusses an array of imaging-based screening exams including the key epidemiology and evidence that drive screening guidelines
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Predictors of discordance between CT-derived fractional flow reserve (CT-FFR) and △CT-FFR in deep coronary myocardial bridging Clin. Imaging (IF 1.8) Pub Date : 2024-08-21 Qingbo Sun, Jing Zhang, Wanbing Wang, Yeqing Qi, Jinhao Lyu, Xinghua Zhang, Tao Li, Xin Lou
To compare the performance between CT-derived fractional flow reserve (CT-FFR) and ΔCT-FFR measurements in patients with deep myocardial bridging (MB) along the left anterior descending artery, and explore the potential predictors of discordance. 175 patients with deep MB who underwent coronary computed tomography angiography (CCTA) and CT-FFR assessment were included. Clinical, anatomical and atherosclerotic
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Commentary on mentorship in residency with novel program: Mentorship Expanded Networking and Teaching to Integrate and Enhance Residency (MEN-TIER) Clin. Imaging (IF 1.8) Pub Date : 2024-08-14 Makayla Kochheiser, Jenny Yan, Nicole A. Lamparello, Kimberly Scherer, Bradley Pua, Benjamin May, Brian Currie
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“One a penny, two a penny”, I saw the hot cross bun sign” Clin. Imaging (IF 1.8) Pub Date : 2024-08-14 Ryan Johnson, John Lausch, Dakota Degenstein, Boris Reznikov
The hot cross bun sign is a radiological sign seen on MRI due to pontocerebellar demyelination and loss of neurons along with preservation of the pontine tegmentum and corticospinal tracts which is classically seen in Multiple System Atrophy (MSA). Hot cross buns have been in existence since as early as the 14th century up until the point when Schrag et al. (1998) coupled the appearance of this age-old
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Differentiation of intrathoracic lymph node histopathology by volumetric dual energy CT radiomic analysis Clin. Imaging (IF 1.8) Pub Date : 2024-08-10 Sophie L. Washer, William H. Moore, Thomas O'Donnell, Jane P. Ko, Priya Bhattacharji, Lea Azour
To determine the performance of volumetric dual energy low kV and iodine radiomic features for the differentiation of intrathoracic lymph node histopathology, and influence of contrast protocol. Intrathoracic lymph nodes with histopathologic correlation (neoplastic, granulomatous sarcoid, benign) within 90 days of DECT chest imaging were volumetrically segmented. 1691 volumetric radiomic features were
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Development of a multi-modal learning-based lymph node metastasis prediction model for lung cancer Clin. Imaging (IF 1.8) Pub Date : 2024-08-09 Jeongmin Park, Seonhwa Kim, June Hyuck Lim, Chul-Ho Kim, Seulgi You, Jeong-Seok Choi, Jun Hyeok Lim, Jae Won Chang, Dongil Park, Myung-won Lee, Byung-Joo Lee, Sung-Chan Shin, Yong-Il Cheon, Il-Seok Park, Seung Hoon Han, Daemyung Youn, Hye Sang Lee, Jaesung Heo
This study proposed a three-dimensional (3D) multi-modal learning-based model for the automated prediction and classification of lymph node metastasis in patients with non-small cell lung cancer (NSCLC) using computed tomography (CT) images and clinical information. We utilized clinical information and CT image data from 4239 patients with NSCLC across multiple institutions. Four deep learning algorithm-based
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Imaging for breast pain: A useful paradigm to promote breast cancer screening and reduce unnecessary breast imaging Clin. Imaging (IF 1.8) Pub Date : 2024-08-09 Nina Capiro, James Sayre, Cheryce Fischer, Gelareh Sadigh
Identify the proportion of patients presenting for diagnostic breast imaging with clinically insignificant breast pain who are eligible for screening mammography and analyze the impact of routing these patients to screening on resource utilization, healthcare spending and cancer detection. We retrospectively reviewed 100 consecutive women ≥40 years old without a history of breast cancer who underwent
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A roadmap to success: Securing a radiology residency through a research fellowship – Insights from a former international fellow Clin. Imaging (IF 1.8) Pub Date : 2024-08-09 Mohamed M. Elsingergy, Savvas Andronikou
Given the increasing competitiveness of matching into radiology residency programs in the U.S., especially for international medical graduates (IMGs), many IMGs opt to join research fellowships to boost their academic productivity and expand their research portfolios. This strategy helps them become as competitive as their national peers. This paper provides insights from the personal experience of
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I saw the “hook” sign of median arcuate ligament syndrome Clin. Imaging (IF 1.8) Pub Date : 2024-08-02 Josh Greaser, Ayesha Nasrullah, Cody Thornburgh
The hook sign is a radiologic finding best appreciated on a sagittal view of the celiac artery with computed tomography (CT) that indicates compression of the celiac artery. It refers to the hooked-shape of the proximal celiac artery caused by extrinsic compression by the median arcuate ligament. When seen in a patient with concurrent abdominal symptoms, it suggests median arcuate ligament syndrome
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Comparing the diagnostic performance of [18F]FDG PET/CT and [18F]FDG PET/MRI for detecting cardiac sarcoidosis: A meta-analysis Clin. Imaging (IF 1.8) Pub Date : 2024-08-02 Yuanliang Shen, Ying Yang
This meta-analysis aimed to evaluate the comparative diagnostic efficacy of [F]FDG PET/CT and [F]FDG PET/MRI in detecting cardiac sarcoidosis. An extensive search was conducted in the PubMed and Embase databases to identify available publications up to November 2023. Studies were included if they evaluated the diagnostic efficacy of [F]FDG PET/CT and [F]FDG PET/MRI in patients with cardiac sarcoidosis
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Letter to the editor regarding assessing breast arterial calcification in mammograms and its implications for atherosclerotic cardiovascular disease risk Clin. Imaging (IF 1.8) Pub Date : 2024-07-31 Roberto M. Mendonça, Ingrid N.A. Queiroz, Ana Katherine Gonçalves
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Left atrial appendage thrombus is associated with a higher fractal dimension in patients with atrial fibrillation Clin. Imaging (IF 1.8) Pub Date : 2024-07-30 Mengyuan Jing, Huaze Xi, Jianying Li, Qing Liu, Hao Zhu, Qiu Sun, Yuting Zhang, Xuehui Liu, Wei Ren, Bin Zhang, Liangna Deng, Tao Han, Junlin Zhou
To assess the anatomical complexity of the left atrial appendage (LAA) using fractal dimension (FD) based on cardiac computed tomography angiography (CTA) and the association between LAA FD and LAA thrombosis. Patients with atrial fibrillation (AF) who underwent both cardiac CTA and transesophageal echocardiography (TEE) between December 2018 and December 2022 were retrospectively analyzed. Patients
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A cost-free approach to evaluating vertebral body bone density and height loss in lung transplant recipients using routine chest CT Clin. Imaging (IF 1.8) Pub Date : 2024-07-30 Seyed Ali Nabipoorashrafi, Negar Firoozeh, Arash Azhideh, Firoozeh Shomal Zadeh, Arash Mahdavi, Atefe Pooyan, Ehsan Alipour, Arash Bedayat, Majid Chalian, Hamid Chalian
To assess changes in bone density and vertebral body height of patients undergoing lung transplant surgery using computed tomography (CT). This institutional review board (IRB) approved retrospective observational study enrolled patients with a history of lung transplant who had at least two chest CT scans. Vertebral body bone density (superior, middle, and inferior sections) and height (anterior,
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Performance and clinical utility of an artificial intelligence-enabled tool for pulmonary embolism detection Clin. Imaging (IF 1.8) Pub Date : 2024-07-30 Angela Ayobi, Peter D. Chang, Daniel S. Chow, Brent D. Weinberg, Maxime Tassy, Angelo Franciosini, Marlene Scudeler, Sarah Quenet, Christophe Avare, Yasmina Chaibi
Diagnosing pulmonary embolism (PE) is still challenging due to other conditions that can mimic its appearance, leading to incomplete or delayed management and several inter-observer variabilities. This study evaluated the performance and clinical utility of an artificial intelligence (AI)-based application designed to assist clinicians in the detection of PE on CT pulmonary angiography (CTPA). CTPAs
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The impact of high-order features on performance of radiomics studies in CT non-small cell lung cancer Clin. Imaging (IF 1.8) Pub Date : 2024-07-30 Gary Ge, Jason Z Zhang, Jie Zhang
High-order radiomic features have been shown to produce high performance models in a variety of scenarios. However, models trained without high-order features have shown similar performance, raising the question of whether high-order features are worth including given their increased computational burden. This comparative study investigates the impact of high-order features on model performance in
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Evaluating acute nipple inversion, imaging findings and outcomes Clin. Imaging (IF 1.8) Pub Date : 2024-07-29 Kyle M. Hatcher, Amie Leon, Lauren F. Cornell, James W. Jakub, Sarah A. McLaughlin, Santo Maimone
Acute nipple inversion can be unsettling for patients and is sometimes associated with an underlying breast malignancy. It also poses a diagnostic challenge with lack of consensus management guidelines. This study reviewed institutional experience with new nipple inversion, including malignant association, imaging utilization, and outcomes, in an effort to improve management. A multisite institutional
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Evolving trends in CT colonography: A 10-year analysis of use and associated factors Clin. Imaging (IF 1.8) Pub Date : 2024-07-27 Ali Abbas, Po-Hong Liu, Amit G. Singal, Cecelia Brewington
Computed tomographic colonography (CTC) is a non-invasive screening test for colorectal cancer (CRC) with high sensitivity and low risk of complications. We used a nationally representative sample of screening-eligible adults to examine trends in and factors associated with CTC use. We examined CTC use among 58,058 adults in the National Health Interview Survey in 2010, 2015, 2018, 2019, and 2021.
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Impact of a department-sponsored portable breast pump initiative at a single institution Clin. Imaging (IF 1.8) Pub Date : 2024-07-23 Juliana Atallah, Shreena Shah, Ella Atzil, Katerina Dodelzon
Many barriers to breastfeeding upon return to the workplace are reported by female radiologists, which have implications on maternal/infant health and physician burnout. The Department of Radiology at our institution piloted an initiative to provide a free portable breast pump to address these barriers. An anonymous voluntary 32-question survey assessing the impact of the portable pump on postpartum
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Websites, mobile apps, and social media: Premier online educational tools for radiology Clin. Imaging (IF 1.8) Pub Date : 2024-07-23 Sara Raminpour, Edmund M. Weisberg, Lilly Kauffman, Elliot K. Fishman
Demand for online educational tools has risen steadily as technological innovations have evolved over the past several decades. Websites were the first platform to be introduced, and eventually used for online schooling, soon after the advent of the World Wide Web. Access to information and updated content in a short period of time on a wide-screen device such as a computer made websites popular early
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Proportion of industry payment value by category in radiology relative to other specialties Clin. Imaging (IF 1.8) Pub Date : 2024-07-20 Mihir Khunte, Anthony Zhong, Chris Lee, Dheeman Futela, Seyedmehdi Payabvash, Dheeraj Gandhi, Ajay Malhotra
Industry payments to physicians are common, but it is unknown how the payments in different categories to radiologists compare to other specialties. The aim of this study is to assess the proportion of industry payments to physicians in radiology in certain categories relative to other specialties. The Open Payments Database was analyzed from January 1, 2017 to December 31, 2021 for industry payments
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CT guided versus non-image guided bone marrow aspiration and biopsy: Comparison of indications, specimen quality and cost Clin. Imaging (IF 1.8) Pub Date : 2024-07-20 Yousef Alshumrani, Daniel Droukas, Brian J. Carney, Robert Willim, Alexander Brook, Jim S. Wu
To compare the indications, specimen quality, and cost of CT versus non-image guided bone marrow aspirate and biopsy (BMAB). All CT and non-image guided BMAB performed from January 2013–July 2022 were studied. Body-mass-index (BMI), skin-to-bone distance, aspirate, and core specimen quality, and core sample length were documented. Indications for CT guided BMAB were recorded. Categorical variables
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United States newspaper and online media coverage of artificial intelligence and radiology from 1998 to 2023 Clin. Imaging (IF 1.8) Pub Date : 2024-07-20 Zachary D. Zippi, Isabel O. Cortopassi, Rolf A. Grage, Elizabeth M. Johnson, Matthew R. McCann, Patricia J. Mergo, Sushilkumar K. Sonavane, Justin T. Stowell, Richard D. White, Brent P. Little
To evaluate the frequency and content of media coverage pertaining to artificial intelligence (AI) and radiology in the United States from 1998 to 2023. The ProQuest US Newsstream database was queried for print and online articles mentioning AI and radiology published between January 1, 1998, and March 30, 2023. A Boolean search using terms related to radiology and AI was used to retrieve full text
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Polyenergetic reconstruction mitigates streak artifacts by dual source imaging in chest photon counting detector computed tomography Clin. Imaging (IF 1.8) Pub Date : 2024-07-20 Dhruw Maisuria, Jordan H. Chamberlin, Dhiraj Baruah, Shaun Hinen, Jim O'Doherty, Aaron McGuire, Heather Knight, U. Joseph Schoepf, Reginald F. Munden, Ismail M. Kabakus
This study aims to assess the efficacy of polyenergetic reconstruction methods in reducing streak artifacts caused by dual source imaging in Photon Counting Detector Computed Tomography (PCD-CT) imaging, thereby improving image quality and diagnostic accuracy. A retrospective cohort study was conducted, involving 50 patients who underwent chest Computed Tomography Angiography with PCD-CT, focusing
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Reliability assessment of leg length and angular alignment on manual reads versus artificial intelligence-generated lower extremity radiographic measurements Clin. Imaging (IF 1.8) Pub Date : 2024-07-14 Holden Archer, Seth Reine, Shuda Xia, Louis Camilo Vazquez, Oganes Ashikyan, Parham Pezeshk, Ajay Kohli, Yin Xi, Joel E. Wells, Allan Hummer, Matthew Difranco, Avneesh Chhabra
Leg length discrepancy (LLD) and lower extremity malalignment can lead to pain and osteoarthritis. A variety of radiographic parameters are used to assess LLD and alignment. A 510(k) FDA approved artificial intelligence (AI) software locates landmarks on full leg standing radiographs and performs several measurements. The objective of this study was to assess the reliability of this AI tool compared
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Prevalence of financial hardship and health-related social needs among patients with missed radiology appointments Clin. Imaging (IF 1.8) Pub Date : 2024-07-10 Andrew Cuyegkeng, Zuxian Hao, Ali Rashidi, Riya Bansal, Jasmine Dhillon, Gelareh Sadigh
We aimed to evaluate the prevalence of financial hardship and Health-Related Social Needs (HRSN) among patients who missed their radiology appointment. English-speaking adult patients, with a missed outpatient imaging appointment at any of a tertiary care imaging centers between 11/2022 and 05/2023 were eligible. We measured self-reported general financial worry using Comprehensive Score for Financial
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Machine learning methods in automated detection of CT enterography findings in Crohn's disease: A feasibility study Clin. Imaging (IF 1.8) Pub Date : 2024-07-01 Ashish P. Wasnik, Mahmoud M. Al-Hawary, Binu Enchakalody, Stewart C. Wang, Grace L. Su, Ryan W. Stidham
Qualitative findings in Crohn's disease (CD) can be challenging to reliably report and quantify. We evaluated machine learning methodologies to both standardize the detection of common qualitative findings of ileal CD and determine finding spatial localization on CT enterography (CTE). Subjects with ileal CD and a CTE from a single center retrospective study between 2016 and 2021 were included. 165
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Unsolicited scam invitations from predatory publications and fraudulent conferences: Radiology-in-training experience Clin. Imaging (IF 1.8) Pub Date : 2024-06-26 Dhairya A. Lakhani, Mahla Radmard, Mina Hesami, Armin Tafazolimoghadam, David M. Yousem
Radiology faculty across various specialties have been reported to receive an average of 20.7 invitations to submit manuscripts to bogus journals and 4.1 invitations to speak at unsuitable events over a two-week span. Radiology trainees also receive a fair number of unsolicited invitations from unknown senders to submit manuscripts and speak at meetings. Trainees can be more vulnerable to predatory
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Lung cancer screening updates: Impact of 2023 American Cancer Society's guidelines for lung cancer screening Clin. Imaging (IF 1.8) Pub Date : 2024-06-21 Ali Rashidi, Raymond Kao, Richard Echeverria, Gelareh Sadigh
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The effect of retroaortic left renal vein on lumbar osteophytes formation Clin. Imaging (IF 1.8) Pub Date : 2024-06-20 Matan Kraus, Johnatan Nissan, Olga Saukhat, Noam Tau, Iris Eshed, Daniel Raskin
Assess whether a Retroaortic left renal vein (RLRV) affects vertebral osteophyte formation in the lumbar spine, compared to normal anatomy left renal vein. We conducted a retrospective case-control study. Computed tomography (CT) scans of individuals with a RLRV (study group) were compared to age- and gender-matched normal anatomy CT scans (control group). A total of 240 patients were included in the
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I saw the “female prostate” Clin. Imaging (IF 1.8) Pub Date : 2024-06-20 Sitthipong Srisajjakul, Patcharin Prapaisilp, Sirikan Bangchokdee
This article delves into the diagnostic implications of the female prostate sign, a distinctive radiological sign observed in magnetic resonance imaging of female patients with substantial urethral diverticula. We discuss the association of this sign with urethral diverticula, emphasizing its mimetic resemblance to prostatic hypertrophy observed in older males. Through a comprehensive review of clinical
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Sarcopenia in patients with breast arterial calcification Clin. Imaging (IF 1.8) Pub Date : 2024-06-19 Ahmad J. Abdulsalam, Diaa Shehab
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Diagnostic accuracy of CT-based radiomics and deep learning for predicting lymph node metastasis in esophageal cancer Clin. Imaging (IF 1.8) Pub Date : 2024-06-16 Payam Jannatdoust, Parya Valizadeh, Mohammad-Taha Pahlevan-Fallahy, Amir Hassankhani, Melika Amoukhteh, Sadra Behrouzieh, Delaram J. Ghadimi, Cem Bilgin, Ali Gholamrezanezhad
Esophageal cancer remains a global challenge due to late diagnoses and limited treatments. Lymph node metastasis (LNM) is crucial for prognosis, yet traditional diagnostics fall short. Integrating radiomics and deep learning (DL) with CT imaging for LNM diagnosis could revolutionize prognostic assessment and treatment planning. A systematic review and meta-analysis were conducted by searching PubMed
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Immobilization during infant fluoroscopy: Pros and cons Clin. Imaging (IF 1.8) Pub Date : 2024-06-11 Cory M. Pfeifer, Sammar Ghannam, Brynn Weakley, Ami Gokli
This article explores the practice of immobilization during fluoroscopy procedures for infants, discussing its advantages and disadvantages. The authors examine contrasting policies and thoughts on immobilization across different medical institutions. While some advocate for its routine use to minimize patient motion, enhance imaging quality, and decrease radiation exposure, others question its necessity
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Current diversity in radiology: A comparative study Clin. Imaging (IF 1.8) Pub Date : 2024-06-11 Amir Hassankhani, Melika Amoukhteh, Parya Valizadeh, Payam Jannatdoust, Delaram J. Ghadimi, Jennifer H. Johnston, Pauravi S. Vasavada, Daphne K. Walker, Ali Gholamrezanezhad
To compare the demographic characteristics of active physicians, trainees, medical school clinical sciences faculty, and department chairs in radiology with those in other medical specialties. An analysis was conducted using publicly available deidentified aggregate data from the Association of American Medical Colleges (AAMC). Our data collection included information from the 2022 AAMC Physician Specialty
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The impact of the radiology career on family planning: A survey of practicing radiologists and trainees Clin. Imaging (IF 1.8) Pub Date : 2024-06-06 Lauren E. Burkard-Mandel, Malaak Saadah, Lauren R. Hahn, Michael A. Wien, Upma Hemal
As the field of medicine witnesses evolving attitudes towards work-life balance, barriers to family planning emerge as an important theme. Though these challenges have been investigated in many fields, there has been little work done on this subject within radiology. Here we present the first formal survey of radiologists on topics related to family planning. In this single-institution prospective
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Brief communication: The current status of contrast-enhanced mammography in breast imaging Clin. Imaging (IF 1.8) Pub Date : 2024-06-05 Daniel Savaria, Chhavi Kaushik
Improvising and developing state of the art techniques for breast cancer detection have always been an area of great interest in the field of imaging. Adding intravenous contrast to any imaging study, is well-known to increase the sensitivity and specificity of detection of a pathological process, especially in the setting of neoplasia secondary to tumor neoangiogenesis. Contrast enhanced MRI is known
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Sex distribution in clinical trials of radiologic contrast agents: A 27-year review Clin. Imaging (IF 1.8) Pub Date : 2024-06-04 David McEvoy, Ahmad Abu-Omar, Mehwish Hussain, Maham Vaqar, Carol Dong, Quratulain Sahi, Faisal Khosa
Clinical trials play a pivotal role in assessing the safety and efficacy of medical therapies. Addressing sex distribution among enrollees in clinical trials of radiologic contrast agents is essential for ensuring the generalizability of trial outcomes. Previous research has highlighted the influence of demographic factors, particularly sex, on treatment responses, emphasizing the need for equitable
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What makes a good scientific presentation on artificial intelligence in medical imaging? Clin. Imaging (IF 1.8) Pub Date : 2024-06-01 Stefan J. Fransen, Quintin van Lohuizen, Christian Roest, Derya Yakar, Thomas C. Kwee
Adequate communication of scientific findings is crucial to enhance knowledge transfer. This study aimed to determine the key features of a good scientific oral presentation on artificial intelligence (AI) in medical imaging. A total of 26 oral presentations dealing with original research on AI studies in medical imaging at the 2023 RSNA annual meeting were included and systematically assessed by three
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Women in radiology (WiR) and the turning of the tide Clin. Imaging (IF 1.8) Pub Date : 2024-06-01 Avani Pathak, Arif Musa, Anicia Mirchandani, Gulcin Altinok, Evita Singh, Natasha Robinette, Ali Harb
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Primary care provider perspectives on the value of opportunistic CT screening Clin. Imaging (IF 1.8) Pub Date : 2024-06-01 Adam E.M. Eltorai, Suzannah E. McKinney, Marcio A.B.C. Rockenbach, Saby Karuppiah, Bernardo C. Bizzo, Katherine P. Andriole
Clinical adoption of AI applications requires stakeholders see value in their use. AI-enabled opportunistic-CT-screening (OS) capitalizes on incidentally-detected findings within CTs for potential health benefit. This study evaluates primary care providers' (PCP) perspectives on OS. A survey was distributed to US Internal and Family Medicine residencies. Assessed were familiarity with AI and OS, perspectives
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[18F]FDG PET/CT versus [18F]FDG PET/MRI in the evaluation of liver metastasis in patients with primary cancer: A head-to-head comparative meta-analysis Clin. Imaging (IF 1.8) Pub Date : 2024-05-31 Yige Shi, Hanxiang Yu, Xiaoyang Zhang, Xing Xu, Hongfang Tuo
This meta-analysis aimed to compare the diagnostic effectiveness of [F]FDG PET/CT with that of [F]FDG PET/MRI in terms of identifying liver metastasis in patients with primary cancer. PubMed, Embase, Web of Science, and the Cochrane Library were searched, and studies evaluating the diagnostic efficacy of [F]FDG PET/CT and [F]FDG PET/MRI in patients with liver metastasis of primary cancer were included
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No code machine learning: validating the approach on use-case for classifying clavicle fractures Clin. Imaging (IF 1.8) Pub Date : 2024-05-31 Giridhar Dasegowda, James Yuichi Sato, Daniel C. Elton, Emiliano Garza-Frias, Thomas Schultz, Christopher P. Bridge, Bernardo C. Bizzo, Mannudeep K. Kalra, Keith J. Dreyer
We created an infrastructure for no code machine learning (NML) platform for non-programming physicians to create NML model. We tested the platform by creating an NML model for classifying radiographs for the presence and absence of clavicle fractures. Our IRB-approved retrospective study included 4135 clavicle radiographs from 2039 patients (mean age 52 ± 20 years, F:M 1022:1017) from 13 hospitals
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I saw the swirl sign: Acute extravasation of blood within a hematoma Clin. Imaging (IF 1.8) Pub Date : 2024-05-25 Mina B. Botros, Ajit S. Puri, Jasmeet Singh, Anna Luisa Kuhn
The swirl sign is a finding on non-contrast computed tomography (CT) scans that represents an acute extravasation of blood into a hematoma filled with clotted blood. In it, a “swirl” of active bleeding within a body of acutely clotted blood is noted as a hypodense accumulation within a hyperdense fluid collection. Here, we describe a case in which a 35-year-old female presents unresponsive with a Glasgow
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Evaluation of responses to cardiac imaging questions by the artificial intelligence large language model ChatGPT Clin. Imaging (IF 1.8) Pub Date : 2024-05-23 Cynthia L. Monroe, Yasser G. Abdelhafez, Kwame Atsina, Edris Aman, Lorenzo Nardo, Mohammad H. Madani
To assess ChatGPT's ability as a resource for educating patients on various aspects of cardiac imaging, including diagnosis, imaging modalities, indications, interpretation of radiology reports, and management. 30 questions were posed to ChatGPT-3.5 and ChatGPT-4 three times in three separate chat sessions. Responses were scored as correct, incorrect, or clinically misleading categories by three observers—two
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Evaluation of radiology resident well-being at a single institution with a dedicated wellness curriculum Clin. Imaging (IF 1.8) Pub Date : 2024-05-16 Jenifer Pitman, Juliana Atallah, Connie Lu, Zoe Verzani, Andrew Schweitzer, Robert J. Min, Lily Belfi
Increasing rates of physician burnout over recent years have resulted in the need for formal tools and programming dedicated to physician well-being. The Accreditation Council for Graduate Medical Education (ACGME) has taken measures to prioritize trainee well-being by revising its common program requirements. Widespread departmental initiatives have been developed in line with these changes. At the
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More is missed by not looking – incidental findings on FDG-PET Clin. Imaging (IF 1.8) Pub Date : 2024-05-16 Joseph C. Lee, Jia Wen Chong, Gemma F. Hartnett
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Image-guided percutaneous strategies to improve the resectability of HCC: Portal vein embolization, liver venous deprivation, or radiation lobectomy? Clin. Imaging (IF 1.8) Pub Date : 2024-05-13 Shin Mei Chan, Joshua Cornman-Homonoff, Pierleone Lucatelli, David C. Madoff
Despite considerable advances in surgical technique, many patients with hepatic malignancies are not operative candidates due to projected inadequate hepatic function following resection. Consequently, the size of the future liver remnant (FLR) is an essential consideration when predicting a patient's likelihood of liver insufficiency following hepatectomy. Since its initial description 30 years ago
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I saw the ‘puff of smoke’ sign before it vanished into thin air Clin. Imaging (IF 1.8) Pub Date : 2024-05-10 Lyle Suh, Ajit S. Puri, Jasmeet Singh, Anna Luisa Kuhn
Moyamoya is characterized as a non-atherosclerotic and non-inflammatory vasculopathy that leads to progressive stenosis of the intracranial internal carotid arteries as well as the Circle of Willis. While it can be idiopathic (Moyamoya disease) or associated with another condition (Moyamoya syndrome), there is a characteristic ‘puff of smoke’ sign that can be appreciated on cerebral angiography.