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"Approach to Hepatic Tumor Ablation: Choosing the Right Tool for the Job" Acad. Radiol. (IF 4.8) Pub Date : 2024-03-12 Nicholas H. Shaheen MD, Andrew D. Hardie MD
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Unveiling the Link: Minimum Inferior Vena Cava Diameter and Thrombosis Risk Acad. Radiol. (IF 4.8) Pub Date : 2024-03-12 Maofeng Gong, Cheng Qian, Rui Jiang, Xu He, Jianping Gu
This study aimed to investigate the relationship between minimum inferior vena cava (IVC) diameter magnification percentage and in-situ IVC thrombosis (iIVCT) after inferior vena cava filter (IVCF) placement in lower extremity deep vein thrombosis (LEDVT). This was a single center retrospective study. Study sample consisted of patients with LEDVT who received computed tomography venography of IVC both
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Evaluating Efficiency and Adherence in Asian Lung Cancer Screening: Comparing Self-paid and Clinical Study Approaches in Taiwan Acad. Radiol. (IF 4.8) Pub Date : 2024-03-12 Yun-Ju Wu, En-Kuei Tang, Fu-Zong Wu
This study aimed to assess how different screening methods, specifically self-paid screening versus participation in clinical studies, affect screening efficiency and adherence in a real-world Asian lung cancer screening population. This study collected 4166 participants from our hospital imaging database who underwent baseline low-dose computed tomography (LDCT) between January 2014 and August 2021
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Computed Tomography-Based Radiomics to Predict FOXM1 Expression and Overall Survival in Patients with Clear Cell Renal Cell Carcinoma Acad. Radiol. (IF 4.8) Pub Date : 2024-03-12 Jingwei Zhao, Qi Zhang, Yan Chen, Xinming Zhao
To establish a computed tomography (CT)-based radiomics model to predict Fork head box M1(FOXM1) expression levels and develop a combined model for prognostic prediction in patients with clear cell renal cell carcinoma (ccRCC). A total of 529 patients were utilized to assess the prognostic significance of FOXM1 expression and were subsequently categorized into low and high FOXM1 expression groups.
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Yttrium-90 Transarterial Radioembolization: An Effective Primary or Salvage Therapy to Bridge the Patients with Hepatocellular Carcinoma to Liver Transplantation Acad. Radiol. (IF 4.8) Pub Date : 2024-03-11 Xudong Qu MD PhD, Feng Zhang MD PhD
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Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment Acad. Radiol. (IF 4.8) Pub Date : 2024-03-11 Yu Zhang MD, Zixuan Liu BS, Yong Cheng MD, Ziwei Wang MD, Zhenlin Li PhD, Jianying Li PhD, Tao Shuai MD
To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation (TAVI) planning CT. We prospectively enrolled 128 patients referred to TAVI-planning CT. Patients were randomly divided into two groups: DLIR-H group ( = 64) and conventional group
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Value of Dual-Energy CT-Derived Metrics for the Prediction of Bone Non-union in Distal Radius Fractures Acad. Radiol. (IF 4.8) Pub Date : 2024-03-08 Philipp Reschke MD, Jennifer Gotta MD, Adrian Stahl, Vitali Koch MD, Christoph Mader MD, Simon S. Martin MD, Jan-Erik Scholtz MD, Christian Booz MD, Ibrahim Yel MD, Daniel A. Hescheler MD, Tatjana Gruber-Rouh MD, Katrin Eichler MD, Thomas J. Vogl MD, Leon D. Gruenewald MD
Bone non-union is a serious complication of distal radius fractures (DRF) that can result in functional limitations and persistent pain. However, no accepted method has been established to identify patients at risk of developing bone non-union yet. This study aimed to compare various CT-derived metrics for bone mineral density (BMD) assessment to identify predictive values for the development of bone
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Moving Towards Recruitment of LGBTQIA+ Resident Physicians Acad. Radiol. (IF 4.8) Pub Date : 2024-03-08 Siddhi Hegde MBBS, Ayalivis De La Rosa MD
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Chatty GPT: Radiology's New BFF or Just Another Trendy Tool? Acad. Radiol. (IF 4.8) Pub Date : 2024-03-07 Kenneth A. Buckwalter MD MBA
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Super Resolution of Pulmonary Nodules Target Reconstruction Using a Two-Channel GAN Models Acad. Radiol. (IF 4.8) Pub Date : 2024-03-07 Qinling Jiang MD, Hongbiao Sun MD, Wei Deng MS, Lei Chen MS PhD, Qingchu Li MD, Jicai Xie MD, Xianpan Pan MS, Yuxin Cheng MD, Xin Chen MD, Yunmeng Wang MD, Yanran Li MS, Xiang Wang MD, Shiyuan Liu MD PhD, Yi Xiao MD PhD
To develop a Dual generative-adversarial-network (GAN) Cascaded Network (DGCN) for generating super-resolution computed tomography (SRCT) images from normal-resolution CT (NRCT) images and evaluate the performance of DGCN in multi-center datasets. This retrospective study included 278 patients with chest CT from two hospitals between January 2020 and June 2023, and each patient had all three NRCT (512×512
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Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data Acad. Radiol. (IF 4.8) Pub Date : 2024-03-07 Jiaying Ni, Hongjian Zhang, Qing Yang, Xiao Fan, Junqing Xu, Jianing Sun, Junxia Zhang, Yifang Hu, Zheming Xiao, Yuhong Zhao, Hongli Zhu, Xian Shi, Wei Feng, Junjie Wang, Cheng Wan, Xin Zhang, Yun Liu, Yongping You, Yun Yu
Gliomas are the most common primary brain tumours and constitute approximately half of all malignant glioblastomas. Unfortunately, patients diagnosed with malignant glioblastomas typically survive for less than a year. In light of this circumstance, genotyping is an effective means of categorising gliomas. The Ki67 proliferation index, a widely used marker of cellular proliferation in clinical contexts
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A Comparative Study of Two Radiomics-Based Blood Flow Modes with Thyroid Imaging Reporting and Data System in Predicting Malignancy of Thyroid Nodules and Reducing Unnecessary Fine-Needle Aspiration Rate Acad. Radiol. (IF 4.8) Pub Date : 2024-03-07 Jia-Yu Ren, Jian-Jun Lin, Wen-Zhi Lv, Xian-Ya Zhang, Xue-Qin Li, Tong Xu, Yue-Xiang Peng, Yu Wang, Xin-Wu Cui
We aimed to compare superb microvascular imaging (SMI)-based radiomics methods, and contrast-enhanced ultrasound (CEUS)-based radiomics methods to the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) for classifying thyroid nodules (TNs) and reducing unnecessary fine-needle aspiration biopsy (FNAB) rate. This retrospective study enrolled a dataset of 472 pathologically
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Quantitative and Qualitative Parameters of DCE-MRI Predict CDKN2A/B Homozygous Deletion in Gliomas Acad. Radiol. (IF 4.8) Pub Date : 2024-03-04 Huiquan Yang MD, Zhengyang Zhu MD, Cong Long MM, Fengnan Niu MD, Jianan Zhou MM, Sixuan Chen MD, Meiping Ye MD, Siqi Peng PhD, Xue Zhang MD, Ying Chen MD, Liangpeng Wei PhD, Haoyao Wang PhD, Dongming Liu MD, Mei Yao PhD, Xin Zhang MD, Bing Zhang MD
Homozygous deletion (HD) of CDKN2A/B holds important prognostic value in gliomas. This study aimed to explore the predictive potential of conventional MRI characteristics combined with dynamic contrast-enhanced MRI parameters in predicting CDKN2A/B HD status in gliomas. Preoperative MRI data of 105 patients (69 without CDKN2A/B HD, and 36 with CDKN2A/B homozygous deletion) with gliomas were retrospectively
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Low Field MRI Surveillance 6-24 Months Post-acute COVID-19 Pneumonia: Factors Influencing Severity and Evolution of Lung Opacities Acad. Radiol. (IF 4.8) Pub Date : 2024-03-04 Lea Azour, Hersh Chandarana, Christoph Maier, James Babb, William Moore
To determine factors influencing low-field MRI lung opacity severity 6–24 months after acute Covid-19 pneumonia. 104 post-acute Covid-19 patients with 167 MRI exams were included. 32 patients had more than one exam, and 63 exams were serial exams. Pulmonary findings were graded on a scale of 0–4 by quadrant, total score ranging from 0 (no opacity) to 16 (opacity > 75%), and score >8 considered moderate
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The Value of Dual Time Point 18F-FDG PET/CT Imaging in Differentiating Lymph Node Metastasis From Reactive Hyperplasia in Bladder Urothelial Carcinoma Acad. Radiol. (IF 4.8) Pub Date : 2024-03-01 Xiang Zhou, Zehua Lu, Ruixue Zhang, Ruiyun Zhang, Gang Huang, Kuangyu Shi, Haige Chen, Jianjun Liu
This study explored the clinical value of dual time-point F-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) imaging for differentiating lymph node metastasis from lymph nodes with reactive hyperplasia. 250 lymph nodes from 153 bladder cancer patients who underwent F-FDG PET/computed tomography (CT) delayed diuretic imaging were analyzed. The maximum and mean standardized uptake values
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The Impact of Different Regions of Interest on Shear Wave Elastography Assessment of the Meniscus in the Knee Joint Acad. Radiol. (IF 4.8) Pub Date : 2024-02-29 Ran Ye, Hua-Hua Xiong, Xiao Liu, Jun-Xing Yang, Jian-Dong Guo, Jian-Wen Qiu
To investigate the impact of different regions of interest (ROI) on the assessment of shear wave elastography (SWE) in evaluating the meniscus of the knee joint. After ethical approval, a total of 141 participants were enrolled in this prospective study from February to October 2023. SWE was utilized to evaluate the anterior horn of the lateral meniscus (LM) and medial meniscus (MM), using two different
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Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators Acad. Radiol. (IF 4.8) Pub Date : 2024-02-29 Zichun Yan, Zhuowei Shi, Qiyuan Zhu, Jinzhou Feng, Yaou Liu, Yuxin Li, Fuqing Zhou, Zhizheng Zhuo, Shuang Ding, Xiaohua Wang, Feiyue Yin, Yang Tang, Bing Lin, Yongmei Li
To investigate whether clinical and gray matter (GM) atrophy indicators can predict disability in relapsing-remitting multiple sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a predictive machine learning model. 145 and 50 RRMS patients with structural MRI and at least 1-year follow-up Expanded Disability Status Scale (EDSS) results were retrospectively enrolled and placed
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Improving Image Quality and Nodule Characterization in Ultra-low-dose Lung CT with Deep Learning Image Reconstruction Acad. Radiol. (IF 4.8) Pub Date : 2024-02-29 Guangming Ma, Yuequn Dou, Shan Dang, Nan Yu, Yanbing Guo, Dong Han, Qiuju Fan
To investigate the influence of the deep learning image reconstruction (DLIR) on the image quality and quantitative analysis of pulmonary nodules under ultra-low dose lung CT conditions. This was a prospective study with patient consent and included 56 patients with suspected pulmonary nodules. Patients were examined by both standard-dose CT (SDCT) and ultra-low-dose CT (ULDCT). SDCT images were reconstructed
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Qualitative and Quantitative Measures in the Infrapatellar Fat Pad in Older Adults: Associations with Knee Pain, Radiographic Osteoarthritis, Kinematics, and Kinetics of the Knee Acad. Radiol. (IF 4.8) Pub Date : 2024-02-27 Zhengming Wang, Jiehang Lu, Zhengyan Li, Yuanyuan Wang, Haiya Ge, Min Zhang, Rui Wang, Yong Gu, Lipeng Ding, Woxing Ren, Zhibi Shen, Guoqing Du, Yufeng Wu, Hongsheng Zhan
The purpose of this study is to delineate cross-sectional associations between qualitative and quantitative measures of the infrapatellar fat pad (IPFP) and knee symptoms, structure, kinematics, and kinetics in older adults. Ninety eligible subjects (90 knees, mean age 54.0 years, 68.9% female) were examined at our center. We used T2-weighted fat-suppressed magnetic resonance imaging (MRI) to evaluate
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Abbreviated MRI for Hepatocellular Carcinoma Surveillance – A Systematic Review and Meta-analysis Acad. Radiol. (IF 4.8) Pub Date : 2024-02-27 Soe Thiha Maung, Natee Deepan, Pakanat Decharatanachart, Roongruedee Chaiteerakij
Given the limited sensitivity of ultrasound in hepatocellular carcinoma (HCC) surveillance, this systematic review and meta-analysis were aimed to assess the diagnostic performance of non-contrast abbreviated MRI (NC-aMRI) compared to contrast-enhanced abbreviated MRI (CE-aMRI) for HCC surveillance, offering evidence-based guidance for clinical decision-making. A comprehensive search was conducted
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FLAIR Hyperintensities in the Anterior Part of the Callosal Splenium in the Elderly Population: A Large Cohort Study Acad. Radiol. (IF 4.8) Pub Date : 2024-02-26 Sera Kasai, Keita Watanabe, Satoru Ide, Yuka Ishimoto, Miho Sasaki, Yoshihito Umemura, Soichiro Tatsuo, Sachi Kakeda, Tatsuya Mikami, Yoshinori Tamada, Yasuo Miki, Koichi Wakabayashi, Masahiko Tomiyama, Shingo Kakeda
Although hyperintensity in the anterior portion of the callosal splenium on FLAIR (aCS-hyperintensity) is a common finding in elderly adults, no previous studies have examined the clinical significance. In this large elderly population study, we aimed to investigate the associations of aCS-hyperintensity with vascular risk factors, cognitive decline, and other MRI measurements. This cross-sectional
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Research Progress of Artificial Intelligence in the Grading and Classification of Meningiomas Acad. Radiol. (IF 4.8) Pub Date : 2024-02-26 Yuan Gui, Jing Zhang
A meningioma is a common primary central nervous system tumor. The histological features of meningiomas vary significantly depending on the grade and subtype, leading to differences in treatment and prognosis. Therefore, early diagnosis, grading, and typing of meningiomas are crucial for developing comprehensive and individualized diagnosis and treatment plans. The advancement of artificial intelligence
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The Radiology Journal Club: An Update on Best Practices and Lessons Learned From Other Specialties Acad. Radiol. (IF 4.8) Pub Date : 2024-02-24 Lauren F. Alexander, Cedric W. Pluguez-Turull, Jonathan G. Martin, Shahrzad Azizaddini, Vikas Agarwal, Prabhakar Shantha Rajiah, Stuart Cohen, Angela I. Choe
The discussion and critical appraisal of medical literature in a group setting has been incorporated in health care education for over a century and remains one of the structured didactic activities in Accreditation Council for Graduate Medical Education radiology residency educational requirements. The panel members of the “Radiology Journal Club: Best Practice from Across the Country” Task Force
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Photon-Counting Detector CT Angiography Versus Digital Subtraction Angiography in Patients with Peripheral Arterial Disease Acad. Radiol. (IF 4.8) Pub Date : 2024-02-24 Anne Marie Augustin, Viktor Hartung, Jan-Peter Grunz, Jan-Lucca Hennes, Henner Huflage, Thorsten Alexander Bley, Bernhard Petritsch, Philipp Gruschwitz
This study aims to compare the diagnostic confidence of photon-counting detector CT angiography (PCD-CTA) depending on the used vascular reformatting kernels with digital subtraction angiography (DSA) as diagnostic reference standard in peripheral arterial occlusive disease (PAOD). In 39 patients, 45 lower extremity PCD-CTA with subsequent DSA were analyzed. Advanced PAOD (Fontaine stage 4) was ascertained
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Prognostic Value and Pathological Correlation of Peritumoral Radiomics in Surgically Resected Non-Small Cell Lung Cancer Acad. Radiol. (IF 4.8) Pub Date : 2024-02-23 Masaki Tominaga, Motohiko Yamazaki, Hajime Umezu, Hideaki Sugino, Yuma Fuzawa, Takuya Yagi, Hiroyuki Ishikawa
To determine the additional value of peritumoral radiomics in predicting overall survival (OS) in surgically resected non-small cell lung cancer (NSCLC) and its correlation with pathological findings. A total of 526 patients with surgically resected NSCLC were included (191 training, 160 internal validation, and 175 external validation cohorts). CT images were used to segment the gross tumor volume
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Learning How to Teach with Drawings and Comics Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Stefan Tigges
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Nine Steps in the Entrepreneurial Journey for Academic Radiologists Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Srini Tridandapani, Andrew Smith, Pamela Bhatti
In this article, we explore the nine steps that we have found to be critical for success in our journeys in taking ideas in imaging to commercial products. These nine steps include 1) findings ideas that resonate, 2) protecting your intellectual property, 3) developing a great team that shares in the vision for the product, 4) building a low-fidelity prototype, 5) customer discovery to test your business
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Rad Path in a Flash: Creation of the First AMSER Sponsored Digital Flashcard Deck and a Review of Digital Flashcard Use among Medical Students Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Matthew Hartman, Nicholas Debiec, Esther Kim, Hamid Syed, Julie Adhya, Angela Giardino, Jeanne Hill
Digital flashcards are an increasingly popular study method for medical students today. The purpose of this study is to assess students’ opinions on digital flashcards and to evaluate the need for radiology-focused digital flashcards. We created the first official Radiology-Pathology (Rad-Path) Correlation course digital flashcard deck sponsored by the Alliance of Medical Student Educators in Radiology
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What’s in the Shadows? Formal Analysis: Art History Method to Improve Interpretation Skills for Mammography and Chest Radiographs in Resident Education Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Angela I. Choe, Siobhan Conaty, Jason Ha, Julie Mack, Emel K. Aumann, Emily Wasserman, Kathryn McGillen
To assess the feasibility of using an art history tool of formal analysis in resident education for interpretations of mammography and chest radiographs In a pre-post study design, residents were shown pre-selected 10 mammograms and 10 chest radiographs for a total of 20 unique anonymized patient cases. After the pretest, residents attended four formal analysis art history lessons. The formal elements
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A Novel Design-Thinking, Hospital Innovation Core Certificate Curriculum for Radiologists and Trainees: Creation, Implementation, and Multiyear Results Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 David S. Liu, Mercy H. Mazurek, David C. Whitehead, Michael C. Hood, Peter Choi, Anu Gupte, Mark P. Ottensmeyer, Florian J. Fintelmann, Raul N. Uppot, Katherine P. Andriole, Michael S. Gee, James A. Brink, Marc D. Succi
Innovation is a crucial skill for physicians and researchers, yet traditional medical education does not provide instruction or experience to cultivate an innovative mindset. This study evaluates the effectiveness of a novel course implemented in an academic radiology department training program over a 5-year period designed to educate future radiologists on the fundamentals of medical innovation.
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Radiology Resident Ownership Scale (RROS): Adapting a Validated Measure of Patient Care Ownership to the Radiology Context Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Peter R. Gunderman, David J. Gunderman, Reid Fisher, Sara Kendrick, Arya Iranmanesh, Joseph Mansour, Lauren Harry, Nicholas Koontz, Richard B. Gunderman, Brandon P. Brown
The aim of this study was to develop a validated instrument to measure radiology residents’ sense of psychological ownership of patient care. A previously validated measure of patient care ownership was adapted through a two-step process of expert review and revision by six academic radiology faculty. An online, anonymous survey was distributed to 64 residents and fellows at the end of three consecutive
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Liberating Structures in Strategic Planning: Methods to Foster Engagement Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Hanna M. Zafar, James V. Rawson
This paper describes the innovative approach of using liberating structures to the development of the AUR 2023 strategic plan, and lessons learned in their application. The 2023 strategic plan built on the results and approach of the prior 2015 plan. Similar to the 2015 strategic plan, traditional tools such as a SWOT analysis and strategic retreat were used. In addition, the 2023 process included
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Mandatory Wellness Lectures and Exercises: Helpful or Harmful? Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Tyler Morgan, Pooya Torkian, Omer A. Awan
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Perspectives From the RadDiscord Annual Survey: Overview of the Top Study Tools and Evaluation of Study Time and Various Resources Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Grace G. Zhu, Alexander Y. Xie, Fatima Elahi, Hazel Asumu, Amit Chakraborty, Gregory J. Stoddard, Ragheed Al-Dulaimi, Richard H. Wiggins
Each year, senior radiology residents take the American Board of Radiology Qualifying (Core) exam to evaluate competency. Approximately 10% of first-time examinees will fail this exam (1). Understanding factors that contribute to success will help residency program directors and trainees prepare for future exams. RadDiscord (), an international radiology educational community, is in the unique position
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Night and Day, Why Radiologists Need Play Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Sarah L. Averill, Erin N. Gomez, Lily M. Belfi, Jessica Hui, Nadine Mallak, Alison Chetlen
What is play and why does it matter for radiologists? Play can take many forms in the workplace, including organic, managed, task-related, diversionary, and resistive forms of play, and play may also take the form of authentic self-expression and creation. In this review article, we will discuss the benefits of play including improved problem solving, gaining perspective, and stress reduction, and
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Evaluating the Impact of Annual Resident Retreats on Radiology Resident Wellbeing Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Michio Taya, Marina J. Corines, Vishal Sinha, Andrew D. Schweitzer, Grace K. Lo, Katerina Dodelzon, Robert J. Min, Lily Belfi
To investigate the effect of resident-run wellness retreats on measures of stress, resilience, and cohesion amongst radiology residents. All diagnostic and interventional radiology residents in a single academic medical center were invited to participate in a wellness-focused off-campus retreat. Three retreats were held on an annual basis from 2018 to 2022 and included physical exercises, nutritional
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Creativity, Connection, and Community: Reimagining the Radiology Society Meeting Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Lily M. Belfi, Priscilla J. Slanetz, Erin A. Cooke, Stephen Chan, Katherine Frederick- Dyer, Dana Ataya, Angela I. Choe, Lori A. Deitte
With the shifting needs of radiologists due to escalating healthcare demands, the impetus for an increased focus on wellness and the benefits of the humanities in medicine inspired a novel approach to curricular planning of the 2023 Association of University Radiologists (AUR) annual meeting. In this manuscript, we describe the creative process behind planning and executing this innovative meeting
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Teaching the Future Radiologist: TED-Inspired Radiology Didactics Acad. Radiol. (IF 4.8) Pub Date : 2024-02-22 Apeksha Chaturvedi, Aadya Chaturvedi, Shehanaz Ellika, Petra J. Lewis
TED () conferences are an astonishingly successful modern-day platform for “ideas worth spreading”. These continue to engage, enlighten and entertain an ever-expanding audience base. TED speakers highlight simple yet relevant ideas, often challenging entrenched perspectives and proposing hitherto unexplored solutions. In this perspective, the authors propose modeling some aspects of Radiology didactics
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Combining Potential Strain Elastography and Radiomics for Diagnosing Breast Lesions in BI-RADS 4: Construction and Validation a Predictive Nomogram Acad. Radiol. (IF 4.8) Pub Date : 2024-02-20 Hailing Zha, Tingting Wu, Manqi Zhang, Mengjun Cai, Xuehong Diao, Fang Li, Rong Wu, Yu Du
To develop a nomogram by integrating B-mode ultrasound (US), strain ratio (SR), and radiomics signature (RS) effectively differentiating between benign and malignant lesions in the Breast Imaging Reporting and Data System (BI-RADS) 4. We retrospectively recruited 709 consecutive patients who were assigned a BI-RADS 4 and underwent curative resection or biopsy between 2017 and 2022. US images were collected
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Comparison of In Vivo Stiffness of Tendons Commonly Used for Anterior Cruciate Ligament Reconstruction – A Shear Wave Elastography Study Acad. Radiol. (IF 4.8) Pub Date : 2024-02-19 Mario Pasurka, Theo Falck, Joshua Kubach, Michael Simon, Stefan Söllner, Deike Strobel, Mario Perl, Marcel Betsch
There are currently no studies investigating the in vivo stiffness of the most commonly used autografts for anterior cruciate ligament reconstruction (ACLR) using Shear wave elastography (SWE). We hypothesize that there are differences regarding the elastic properties between the three tendons commonly used for ACLR and that they are influenced by patient-related factors. 80 healthy subjects (25 females
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Phase-Resolved Functional Lung (PREFUL) MRI to Quantify Ventilation: Feasibility and Physiological Relevance in Severe Asthma Acad. Radiol. (IF 4.8) Pub Date : 2024-02-19 Yonni Friedlander, Samal Munidasa, Ashutosh Thakar, Nandhitha Ragunayakam, Carmen Venegas, Melanie Kjarsgaard, Brandon Zanette, Dante P.I. Capaldi, Giles Santyr, Parameswaran Nair, Sarah Svenningsen
Emergent evidence in several respiratory diseases supports translational potential for Phase-Resolved Functional Lung (PREFUL) MRI to spatially quantify ventilation but its feasibility and physiological relevance have not been demonstrated in patients with asthma. This study compares PREFUL-derived ventilation defect percent (VDP) in severe asthma patients to healthy controls and measures its responsiveness
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Automated Patient Registration in Magnetic Resonance Imaging Using Deep Learning-Based Height and Weight Estimation with 3D Camera: A Feasibility Study Acad. Radiol. (IF 4.8) Pub Date : 2024-02-16 Iram Shahzadi, Birgi Tamersoy, Lynn Johann Frohwein, Sesha Subramanian, Christoph Moenninghoff, Julius Henning Niehoff, Jan Robert Kroeger, Alexey Surov, Jan Borggrefe
Accurate and efficient estimation of patient height and weight is crucial to ensure patient safety and optimize the quality of magnetic resonance imaging (MRI) procedures. Several height and weight estimation methods have been proposed for use in adult patient management, but none is widely established. Estimation by the medical technologists for radiology (MTR) based on personal experience remains
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Evolving Diagnostic Interpretation: How Automated Algorithms for Autosomal Dominant Polycystic Kidney Disease (ADPKD) Address Inter-Reader Variability and Physician Burnout Acad. Radiol. (IF 4.8) Pub Date : 2024-02-16 Quincy A. Hathaway
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Hepatic Arterial Infusion Chemotherapy for Unresectable HCC: Ready for Primetime? Acad. Radiol. (IF 4.8) Pub Date : 2024-02-16 Qian Yu, Osman Ahmed
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A Lesser Recognized Coalition to Add to the Search Pattern: An Anatomy Review and Clinical Implications of Cubonavicular Coalition Acad. Radiol. (IF 4.8) Pub Date : 2024-02-15 Rachel Zimmerman Bass
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World Health Organization (WHO) 2022 Classification Update: Radiologic and Pathologic Features of Papillary Renal Cell Carcinomas Acad. Radiol. (IF 4.8) Pub Date : 2024-02-15 Luyao Shen, Luke Yoon, Patrick C. Mullane, Tie Liang, Justin R. Tse
To describe imaging and pathology features of newly defined papillary renal cell carcinoma (pRCC) based on the WHO 2022 update. This retrospective study included 87 patients with 93 pathologically proven papillary renal cell carcinomas who underwent pre-treatment renal mass protocol CT or MRI. Baseline and post-treatment follow-up imaging was evaluated by two radiologists systematically based on established
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A Tale of Two Hospitals: Effect of Access to Care Through a Safety Net Hospital on Adjuvant Therapy, Imaging Compliance and 5-Year Survival Rates Compared to the University Hospital Served by the Same Breast Cancer Clinical Teams Acad. Radiol. (IF 4.8) Pub Date : 2024-02-15 Ann R. Mootz, B. Bersu Ozcan, Dogan S. Polat, Zachary Acevedo, Yin Xi, Nisha Unni, Chika Nwachukwu, Basak E. Dogan
To compare rates of guideline-concordant care, imaging surveillance, recurrence and survival outcomes between a safety-net (SNH) and tertiary-care University Hospital (UH) served by the same breast cancer clinical teams. 647 women with newly diagnosed breast cancer treated in affiliated SNH and UH between 11.1.2014 and 3.31.2017 were reviewed. Patient demographics, completion of guideline-concordant
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New Perspectives for Estimating Body Composition From Computed Tomography: Clothing Associated Artifacts Acad. Radiol. (IF 4.8) Pub Date : 2024-02-13 Lauren E. Rentz, Briauna M. Malone, Beth Vettiyil, Erik A. Sillaste, Alan D. Mizener, Stuart A. Clayton, Emidio E. Pistilli
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Altered White-Matter Functional Network in Children with Idiopathic Generalized Epilepsy Acad. Radiol. (IF 4.8) Pub Date : 2024-02-12 Haifeng Ran, Guiqin Chen, Chunyan Ran, Yulun He, Yuxin Xie, Qiane Yu, Junwei Liu, Jie Hu, Tijiang Zhang
The white matter (WM) functional network changes offers insights into the potential pathological mechanisms of certain diseases, the alterations of WM functional network in idiopathic generalized epilepsy (IGE) remain unclear. We aimed to explore the topological characteristics changes of WM functional network in childhood IGE using resting-state functional Magnetic resonance imaging (MRI) and T-weighted
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nnU-Net-Based Pancreas Segmentation and Volume Measurement on CT Imaging in Patients with Pancreatic Cancer Acad. Radiol. (IF 4.8) Pub Date : 2024-02-12 Ehwa Yang, Jae-Hun Kim, Ji Hye Min, Woo Kyoung Jeong, Jeong Ah Hwang, Jeong Hyun Lee, Jaeseung Shin, Honsoul Kim, Seol Eui Lee, Sun-Young Baek
To develop and validate a deep learning (DL)-based method for pancreas segmentation on CT and automatic measurement of pancreatic volume in pancreatic cancer. This retrospective study used 3D nnU-net architecture for fully automated pancreatic segmentation in patients with pancreatic cancer. The study used 851 portal venous phase CT images (499 pancreatic cancer and 352 normal pancreas). This dataset
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Abdominal MRI on a Commercial 0.55T System: Initial Evaluation and Comparison to Higher Field Strengths Acad. Radiol. (IF 4.8) Pub Date : 2024-02-06 Anupama Ramachandran, Hero K. Hussain, Vikas Gulani, Lauren Kelsey, Mishal Mendiratta-Lala, Jacob Richardson, Maria Masotti, Nancy Dudek, Joel Morehouse, Kathleen Ropella Panagis, Katherine Wright, Nicole Seiberlich
This study aims to assess the quality of abdominal MR images acquired on a commercial 0.55T scanner and compare these images with those acquired on conventional 1.5T/3T scanners in both healthy subjects and patients. Fifteen healthy subjects and 52 patients underwent abdominal Magnetic Resonance Imaging at 0.55T. Images were also collected in healthy subjects at 1.5T, and comparison 1.5/3T images identified
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Diversity Patterns in Radiology Residency Applicants: A Comparative Study of Demographics (2013-2022) Acad. Radiol. (IF 4.8) Pub Date : 2024-02-05 Amir Hassankhani, Melika Amoukhteh, Parya Valizadeh, Payam Jannatdoust, Daphne K. Walker, Ali Gholamrezanezhad
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Histogram Analysis of Apparent Diffusion Coefficient Maps Provides Genotypic and Pretreatment Phenotypic Information in Pediatric and Young Adult Rhabdomyosarcoma Acad. Radiol. (IF 4.8) Pub Date : 2024-01-30 Adarsh Ghosh, Hailong Li, Alexander J. Towbin, Brian K. Turpin, Andrew T. Trout
Introduction We evaluate the role of apparent diffusion coefficient (ADC) histogram metrics in stratifying pediatric and young adult rhabdomyosarcomas. Methods We retrospectively evaluated baseline diffusion-weighted imaging (DWI) from 38 patients with rhabdomyosarcomas (Not otherwise specified: 2; Embryonal: 21; Spindle Cell: 2; Alveolar: 13, mean ± std dev age: 8.1 ± 7.76 years). The diffusion images
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CTA-Based Radiomics and Area Change Rate Predict Infrarenal Abdominal Aortic Aneurysms Patients Events: A Multicenter Study Acad. Radiol. (IF 4.8) Pub Date : 2024-02-01 Ying Wang, Fangyuan Liu, Siyu Wu, Kui Sun, Hui Gu, Ximing Wang
Rationale and Objectives Clinical assessment of abdominal aortic aneurysm (AAA) intervention and rupture risk relies primarily on maximum diameter, but studies have shown that sole dependence on diameter has limitations. CTA-based radiomics, aneurysm and lumen area change rates (AACR, LACR) are measured to predict potential AAA events. Materials and Methods Between January 2017 and November 2022, 260
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The Emergence of the Potential Therapeutic Targets: Ultrasound-Based Radiomics in the Prediction of Human Epidermal Growth Factor Receptor 2-Low Breast Cancer Acad. Radiol. (IF 4.8) Pub Date : 2024-02-02 Yu Du, Fang Li, Manqi Zhang, Jiazhen Pan, Tingting Wu, Yi Zheng, Jing Chen, Minghua Yao, Yi Kuang, Rong Wu, Xuehong Diao
To evaluate whether ultrasound-based radiomics features can effectively predict HER2-low expression in patients with breast cancer (BC). Between January 2021 and June 2023, patients who received US scans with pathologically confirmed BC in this multicenter study were included. In total, 383 patients from institution 1 were comprised of training set, 233 patients from institution 2 were comprised of
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Risk Factors for Contrast Media Extravasation in Intravenous Contrast-Enhanced Computed Tomography: An Observational Cohort Study Acad. Radiol. (IF 4.8) Pub Date : 2024-02-02 Wanli Liu, Pinghu Wang, Hui Zhu, Hui Tang, Xiaoying Wang, Hongmei Guan, Chengxiang Wang, Yao Qiu, An Peng, Lianxiang He
To identify the risk factors for contrast media (CM) extravasation and provide effective guidance for reducing its incidence. We observed adult inpatients ( = 38 281) who underwent intravenous contrast-enhanced computed tomography between January 1, 2018, and December 31, 2022. Risk factors for CM extravasation were evaluated using univariate and multivariate logistic regression. Among the 38 281 inpatients
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Prediction of HER2 Expression in Gastric Adenocarcinoma Based On Preoperative Noninvasive Multimodal 18F-FDG PET/CT Imaging Acad. Radiol. (IF 4.8) Pub Date : 2024-02-02 Lilin Qin, Wujie Chen, Yuanxin Ye, Heqing Yi, Weiqiang Pang, Bin Long, Yun Wang, Ting Ye, Linfa Li
This study aims to investigate the role of a flourine-18 fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) multimodal radiomics model in predicting the status of human epidermal growth factor receptor 2 (HER2) expression preoperatively in cases of gastric adenocarcinoma. This retrospective study included 133 patients with gastric adenocarcinoma who were classified into
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CT-Based Radiomics Analysis of Different Machine Learning Models for Discriminating the Risk Stratification of Pheochromocytoma and Paraganglioma: A Multicenter Study Acad. Radiol. (IF 4.8) Pub Date : 2024-02-01 Yongjie Zhou, Yuan Zhan, Jinhong Zhao, Linhua Zhong, Yongming Tan, Wei Zeng, Qiao Zeng, Mingxian Gong, Aihua Li, Lianggeng Gong, Lan Liu
Using different machine learning models CT-based radiomics to integrate clinical radiological features to discriminating the risk stratification of pheochromocytoma/paragangliomas (PPGLs). The present study included 201 patients with PPGLs from three hospitals (training set: = 125; external validation set: = 45; external test set: = 31). Patients were divided into low-risk and high-risk groups using
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Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions Acad. Radiol. (IF 4.8) Pub Date : 2024-02-01 Zhen Kang, Enhua Xiao, Zhen Li, Liang Wang
To explore the classification and prediction efficacy of the deep learning model for benign prostate lesions, non-clinically significant prostate cancer (non-csPCa) and clinically significant prostate cancer (csPCa) in Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions. From January 2015 to December 2021, lesions diagnosed with PI-RADS 3 by multi-parametric MRI or bi-parametric MRI were
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The Big Squeeze: Factors Contributing to Moral Distress Among Radiologist Clinician-Educators Acad. Radiol. (IF 4.8) Pub Date : 2024-01-30 Lily M. Belfi, Roger J. Bartolotta, Sarah L. Averill, Julie C. Bulman, Alison Chetlen, Ann K. Jay, Sosamma T. Methratta, Lori A. Deitte
Moral distress is a term used to describe the cognitive-emotional dissonance that is experienced when one is compelled to act contrary to one’s moral requirements. This occurs as a result of systemic constraints that prevent an individual from taking actions that they perceive as morally right, resulting in a perceived violation of one’s core values and duties. There has been a growing interest in