6,581 results match your criteria Academic Radiology[Journal]

Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.

Acad Radiol 2022 Jun 20. Epub 2022 Jun 20.

Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-ku, Kumamoto 860-8556, Japan.

Rationale And Objectives: To evaluate the image properties of lung-specialized deep-learning-based reconstruction (DLR) and its applicability in ultralow-dose CT (ULDCT) relative to hybrid- (HIR) and model-based iterative-reconstructions (MBIR).

Materials And Methods: An anthropomorphic chest phantom was scanned on a 320-row scanner at 50-mA (low-dose-CT 1 [LDCT-1]), 25-mA (LDCT-2), and 10-mA (ULDCT). LDCT were reconstructed with HIR; ULDCT images were reconstructed with HIR (ULDCT-HIR), MBIR (ULDCT-MBIR), and DLR (ULDCT-DLR). Read More

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Performance of Machine Learning Methods Based on Multi-Sequence Textural Parameters Using Magnetic Resonance Imaging and Clinical Information to Differentiate Malignant and Benign Soft Tissue Tumors.

Acad Radiol 2022 Jun 17. Epub 2022 Jun 17.

Department of Diagnostic Radiology, Graduate School of Life Sciences, Kumamoto University, 1-1-1, Honjo, Chuoku, Kumamoto, Japan.

Rationale And Objectives: To evaluate the performance of a machine learning method to differentiate malignant from benign soft tissue tumors based on textural features on multiparametric magnetic resonance imaging (mpMRI).

Materials And Methods: We enrolled 163 patients with soft tissue tumors whose diagnosis was pathologically proven (71 malignant, 92 benign). All patients underwent mpMRI. Read More

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Quantifying the Effects of Structured Reporting on Report Turnaround Times and Proofreading Workload in Neuroradiology.

Acad Radiol 2022 Jun 9. Epub 2022 Jun 9.

Department of Radiology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.

Rationale And Objectives: To assess the effects of a change from free text reporting to structured reporting on resident reports, the proofreading workload and report turnaround times in the neuroradiology daily routine.

Materials And Methods: Our neuroradiology section introduced structured reporting templates in July 2019. Reports dictated by residents during dayshifts from January 2019 to March 2020 were retrospectively assessed using quantitative parameters from report comparison. Read More

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Think Like an MBA: Development, Implementation, and Evaluation of an Academic Radiology Business Series (ARBS) for Radiology Trainees.

Acad Radiol 2022 Jun 8. Epub 2022 Jun 8.

Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Rationale And Objectives: To address existing educational gaps in the business of radiology and medicine, we developed, implemented, and evaluated an Academic Radiology Business Series (ARBS) as part of a longitudinal noninterpretive skills curriculum in our radiology residency program.

Materials And Methods: Mixed lecture- and discussion-based sessions were prepared and taught by content experts and radiologist-leaders at our institution in the style of a typical MBA curriculum, drawing on five core pillars: strategy, management, operations, finance, and health policy and economics. The series concluded with an interactive discussion of a Harvard Business School case study. Read More

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Quantitative CT Lung Imaging and Machine Learning Improves Prediction of Emergency Room Visits and Hospitalizations in COPD.

Acad Radiol 2022 Jun 8. Epub 2022 Jun 8.

Department of Physics, Toronto Metropolitan University, Toronto, ON, Canada; Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada. Electronic address:

Rationale: Predicting increased risk of future healthcare utilization in chronic obstructive pulmonary disease (COPD) patients is an important goal for improving patient management.

Objective: Our objective was to determine the importance of computed tomography (CT) lung imaging measurements relative to other demographic and clinical measurements for predicting future health services use with machine learning in COPD.

Materials And Methods: In this retrospective study, lung function measurements and chest CT images were acquired from Canadian Cohort of Obstructive Lung Disease study participants from 2010 to 2017 (https://clinicaltrials. Read More

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Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study.

Acad Radiol 2022 Jun 9. Epub 2022 Jun 9.

Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, Illinois.

Rationale And Objectives: Computed tomography (CT) is preferred for evaluating solitary pulmonary nodules (SPNs) but access or availability may be lacking, in addition, overlapping anatomy can hinder detection of SPNs on chest radiographs. We developed and evaluated the clinical feasibility of a deep learning algorithm to generate digitally reconstructed tomography (DRT) images of the chest from digitally reconstructed frontal and lateral radiographs (DRRs) and use them to detect SPNs.

Methods: This single-institution retrospective study included 637 patients with noncontrast helical CT of the chest (mean age 68 years, median age 69 years, standard deviation 11. Read More

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Initial Experience Using Digital Variance Angiography in Context of Prostatic Artery Embolization in Comparison with Digital Subtraction Angiography.

Acad Radiol 2022 Jun 7. Epub 2022 Jun 7.

The Institute for Interventional and Diagnostic Radiology, University Hospital Frankfurt, Germany.

Rationale And Objectives: In previous clinical studies digital variance angiography (DVA) provided higher contrast-to-noise ratio (CNR) and better image quality in lower extremity angiography than digital subtraction angiography (DSA). Our aim was to investigate whether DVA has similar quality reserve in prostatic artery embolization (PAE). The secondary aim was to explore the potential advantages of the color-coded DVA (ccDVA) technology in PAE. Read More

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Safety and feasibility of contrast-enhanced computed tomography with a nanoparticle contrast agent for evaluation of diethylnitrosamine-induced liver tumors in a rat model.

Acad Radiol 2022 Jun 6. Epub 2022 Jun 6.

Department of Diagnostic and Interventional Radiology, Graduate School of Medicine (T.N., K.K., A.Y., H.Y., A.J., E.S., K.M., S.O., Y.M.), Osaka City University (currently Osaka Metropolitan University), 1-4-3 Asahimachi, Abenoku, Osaka 545-8585, Japan.

Rationale And Objectives: Safety and feasibility of contrast-enhanced computed tomography (CECT) with a nanoparticulate contrast agent, ExiTron nano 12000, was evaluated in a rat liver tumor model.

Materials And Methods: This study employed eighteen 8-week-old male F344 rats. Six rats given tap water for 8 weeks further divided into two: Control group and Normal Liver with CECT group. Read More

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The Additional Value Evaluation of Tri-parametric MRI in Identifying Muscle-invasive Status in Bladder Cancer.

Acad Radiol 2022 Jun 5. Epub 2022 Jun 5.

School of Biomedical Engineering, Air Force Medical University, No. 169 Changle West Road, Xi'an, SN 710032, China; Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi'an, SN 710032, China. Electronic address:

Rationale And Objectives: Identification of muscle-invasive status (MIS) of bladder cancer (BCa) is critical for treatment decisions. The Vesical Imaging-Reporting and Data System (VI-RADS) has been widely used in preoperatively predicting MIS using tri-parametric MR imaging including T2-weighted (T2W), diffusion-weighted (DW), and dynamic contrast-enhanced (DCE) sequences. While the diagnostic values of radiomics features from bi-parametric MRI such as T2W + DW to identification of MIS have been reported, whether the tri-parametric MRI could provide additional diagnostic value to the radiomics prediction task, and how to integrate DCE features into the radiomics model, which is the objectives of this study, remain unknown. Read More

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Student and Educator Experiences of an Integrated Medical Imaging Curriculum.

Acad Radiol 2022 Jun 4. Epub 2022 Jun 4.

Education Unit, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand (M.A.). Electronic address:

Introduction: Medical imaging is integrated across all years in the medical programs at the Medical School, in our country. Little is known about this pedagogical approach from the perspective of those who participate in it. This study investigated how students and educators experience an integrated medical imaging curriculum. Read More

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COVID-19 and Virtual Medical Student Education.

Acad Radiol 2022 Apr 21. Epub 2022 Apr 21.

University of Maryland School of Medicine, 655 W Baltimore Street, Baltimore, MD 21201. Electronic address:

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Prognostic Role of the Pectoralis Musculature in Patients with COVID-19. A Multicenter Study.

Acad Radiol 2022 May 16. Epub 2022 May 16.

Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.).

Rationale And Objectives: To evaluate the impact of low skeletal muscle mass in patients with COVID-19 on relevant outcomes like 30-day mortality, need for intubation and need for intensive care unit admission.

Materials And Methods: For this study, data from six centers were acquired. The acquired sample comprises 1138 patients. Read More

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Prediction of Molecular Subtypes Using Superb Microvascular Imaging and Shear Wave Elastography in Invasive Breast Carcinomas.

Acad Radiol 2022 Jun 3. Epub 2022 Jun 3.

Department of General Surgery, Istanbul University-Cerrahpasa, IST, Turkey.

Rationale And Objectives: To investigate the efficacy of the advanced imaging methods, superb microvascular imaging (SMI) and shear wave elastography (SWE) in predicting molecular subtypes in invasive breast carcinomas.

Materials And Methods: A total of 210 biopsy-proven breast carcinomas in 200 patients who underwent ultrasound (US) imaging with SMI and SWE were included in this study. Quantitative analyses were performed using mean elasticity (E) score by SWE and vascular index (VI) by SMI. Read More

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Journal Selection Primer for Neuroradiology Researchers.

Acad Radiol 2022 Jun 2. Epub 2022 Jun 2.

Department of Radiology, Mayo Clinic Rochester, Rochester, Minnesota. Electronic address:

Junior Neuroradiology investigators face a rapidly expanding universe of potential journals for manuscript submission. Each journal possesses many unique features, including scope/breadth of research focus, willingness to accept specific types of articles (for example, Review Articles, or Case Reports), status of indexing on major academic indices, scholarly relevance (usually defined as Impact Factor) and access type (Open Access, subscription, or Hybrid Access). An uninformed choice of target journal can burden not only Editors and Reviewers but also increase the effort and frustration level of relatively inexperienced investigators and ultimately result in a worthy manuscript not getting published. Read More

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Ordering Characteristics Predictive of Noncontrast CT Head Positivity in the Emergency Department.

Acad Radiol 2022 May 30. Epub 2022 May 30.

Department of Radiology, University of Colorado Anschutz Medical Campus, 1635 Aurora Ct, Aurora, CO 80045, USA. Electronic address:

Rationale And Objectives: Recent decades have seen a steady increase in noncontrast head CT utilization in the emergency department with a concurrent rise in the practice of physician assistants (PAs) and nurse practitioners (NPs). The goal of this study was to identify ordering and patient characteristics predictive of positive noncontrast head CTs in the ED. We hypothesized NP/PAs would have lower positivity rates compared to physicians, suggestive of relative overutilization. Read More

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Recovering Joy in the Workplace Requires P.R.A.C.T.I.C.E.

Acad Radiol 2022 May 30. Epub 2022 May 30.

Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.

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Establishing a Departmental Symposium for Resident Scholarly Activity: How We Did It.

Acad Radiol 2022 May 26. Epub 2022 May 26.

Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.

Many radiology departments have successfully increased trainee research involvement by providing protected academic time for research, offering travel funding for conferences, and developing research-focused curriculum via resident research tracks and other mechanisms. A departmental platform for trainees to share their scholarly projects can foster intradepartmental awareness and collaborations, supplement the existing resident research curriculum, encourage peer learning amongst trainees, and allow departmental celebration of their trainees' accomplishments. The authors describe the development of a departmental symposium for resident scholarly activity at their institution and detail a practical framework for implementation and lessons learned, which may serve as a guide for other radiology departments interested in establishing a similar event. Read More

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Liver Iodine Quantification With Photon-Counting Detector CT: Accuracy in an Abdominal Phantom and Feasibility in Patients.

Acad Radiol 2022 May 26. Epub 2022 May 26.

Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-809, Zurich, Switzerland. Electronic address:

Rationale And Objectives: To compare the accuracy of iodine quantification in liver parenchyma and lesions between dual-source photon-counting detector CT (PCD-CT) and dual-source energy-integrating detector CT (EID-CT) in a phantom and to demonstrate the feasibility of iodine quantification with PCD-CT in liver parenchyma and lesions in patients.

Materials And Methods: An anthropomorphic abdominal phantom with a liver insert containing parenchyma and lesions was imaged on a clinical PCD-CT at 120kV and in the dual-energy mode on an EID-CT with kV-combinations of 80/Sn150kV, 90/Sn150kV, and 100/Sn150kV. Three patient sizes were imaged at three different radiation doses (CTDI: 5, 10, 15mGy). Read More

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Automated Endotracheal Tube Placement Check Using Semantically Embedded Deep Neural Networks.

Acad Radiol 2022 May 26. Epub 2022 May 26.

Department of Radiological Sciences, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine at UCLA, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024.

Rationale And Objectives: To develop artificial intelligence (AI) system that assists in checking endotracheal tube (ETT) placement on chest X-rays (CXRs) and evaluate whether it can move into clinical validation as a quality improvement tool.

Materials And Methods: A retrospective data set including 2000 de-identified images from intensive care unit patients was split into 1488 for training and 512 for testing. AI was developed to automatically identify the ETT, trachea, and carina using semantically embedded neural networks that combine a declarative knowledge base with deep neural networks. Read More

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Wellness and Nature: A Student Perspective.

Acad Radiol 2022 07;29(7):1131-1132

Department of Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, Maryland. Electronic address:

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An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality.

Acad Radiol 2022 Apr 4. Epub 2022 Apr 4.

Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive Room 2221 ART, Charleston, SC 29425.

Rationale And Objectives: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is time consuming and challenging to quantify on computed tomography. The purpose of this study was to evaluate the ability of a deep convolutional neural network (dCNN) to predict inpatient outcomes associated with COVID-19 pneumonia.

Materials And Methods: A previously trained dCNN was tested on an external validation cohort of 241 patients who presented to the emergency department and received a chest computed tomography scan, 93 with COVID-19 and 168 without. Read More

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The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions.

Acad Radiol 2022 May 20. Epub 2022 May 20.

Department of Radiology, Emory University, Atlanta, Georgia.

In 2019, the journal Radiology: Artificial Intelligence introduced its Trainee Editorial Board (TEB) to offer formal training in medical journalism to medical students, radiology residents and fellows, and research-career trainees. The TEB aims to build a community of radiologists, radiation oncologists, medical physicists, and researchers in fields related to artificial intelligence (AI) in radiology. The program presented opportunities to learn about the editorial process, improve skills in writing and reviewing, advance the field of AI in radiology, and help translate and disseminate AI research. Read More

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Automatic Segmentation and Quantification of Upper Airway Anatomic Risk Factors for Obstructive Sleep Apnea on Unprocessed Magnetic Resonance Images.

Acad Radiol 2022 May 20. Epub 2022 May 20.

Artificial Intelligence in Biomedical Imaging Lab, Department of Radiology, University of Pennsylvania, Richards Building, 7th Fl  3700 Hamilton Walk, Philadelphia, PA 19104.

Rationale And Objectives: Accurate segmentation of the upper airway lumen and surrounding soft tissue anatomy, especially tongue fat, using magnetic resonance images is crucial for evaluating the role of anatomic risk factors in the pathogenesis of obstructive sleep apnea (OSA). We present a convolutional neural network to automatically segment and quantify upper airway structures that are known OSA risk factors from unprocessed magnetic resonance images.

Materials And Methods: Four datasets (n = [31, 35, 64, 76]) with T1-weighted scans and manually delineated labels of 10 regions of interest were used for model training and validations. Read More

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Learning-by-Concordance of Perception: A Novel way to Learn to Read Thoracic Images.

Acad Radiol 2022 May 20. Epub 2022 May 20.

Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université de Montréal, Centre de pédagogie des sciences de la santé (CPASS), Montreal, QC, Canada. Electronic address:

Rationale And Objective: Learning to interpret thoracic images requires intensive instructor support. Given current cohort sizes at teaching hospitals in North America, instructor availability is rare. A Learning-by-concordance of perception (LbCP) online tool was introduced in a second-year course on lung and oxygenation. Read More

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Non-Gaussian Diffusion MRI for Evaluating Hepatic Fibrosis.

Weiguo Li

Acad Radiol 2022 07 19;29(7):964-966. Epub 2022 May 19.

Department of Radiology, Northwestern University, 737 N Michigan Ave, Chicago, Illinois, 60611 (W.L.); Department of Biomedical Engineering, University of Illinois at Chicago, 835 S Wood St, Chicago, Illinois, 60612 (W.L.). Electronic address:

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Imaging and Non-imaging Findings of Intimate Partner Violence on the Trauma Service: A Retrospective Analysis of Two Level 1 Trauma Centers.

Acad Radiol 2022 May 18. Epub 2022 May 18.

Department of Radiology, Division of Emergency Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02215; Department of Radiology, Trauma Imaging Research and Innovation Center, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02215. Electronic address:

Rationale And Objectives: Intimate partner violence (IPV) is a serious public health issue. This study aims to characterize IPV-related injuries in trauma patients presenting to emergency departments (ED) who required hospitalization.

Materials And Methods: Trauma registries of two Level 1 trauma centers were searched for assault-related ED visits by adults reporting "abuse" over 3 and 5 years to identify IPV victims. Read More

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What Is the Best Imaging Modality for Breast Cancer Detection in Women with a Personal History?

Lauren Green

Acad Radiol 2022 May 17. Epub 2022 May 17.

Department of Radiography and Mammography, University of Illinois College of Medicine, 1801 W Taylor St 2C, Chicago, Illinois, 60612 (L.G.). Electronic address:

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DCE-MRI Radiomics Analysis in Differentiating Luminal A and Luminal B Breast Cancer Molecular Subtypes.

Acad Radiol 2022 May 17. Epub 2022 May 17.

Department of Radiology, Ankara Training and Research Hospital, University of Health Sciences, Hacettepe Mh. Ulucanlar Cd. No:89 Altındağ, Ankara, Turkey.

Rationale And Objectives: The aim of the present study was to investigate the association between Luminal A and Luminal B molecular subtypes and radiomic features of dynamic contrast‑enhanced magnetic resonance imaging in patients with invasive breast cancer.

Materials And Methods: Seventy-three patients with histopathologically proven invasive ductal cancer (IDC) were selected. Tumors were classified into molecular subtypes: Luminal A (estrogen receptor (ER)-positive and/or progesterone receptor (PR)-positive, human epidermal growth factor receptor type 2 (HER2) -negative, proliferation marker Ki-67<20) and Luminal B (ER-positive and/or PR-positive, HER2-positive or HER2-negative with high Ki-67 ≥20). Read More

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Mitigation Tactics Discovered During COVID-19 with Long-Term RTAT and Burnout Reduction Benefits.

Acad Radiol 2022 Apr 22. Epub 2022 Apr 22.

Penn State Hershey Medical Center, 500 University Dr. HG300B, Hershey, PA 17033.

Rationales And Objectives: The purpose is to describe a hybrid teleradiology solution utilized in an academic medical center and its outcomes on radiology report turnaround time (RTAT) and physician wellness.

Materials And Methods: During coronavirus disease 2019, we utilized an alternating teleradiology solution with procedural and education attendings working in the hospital and other faculty remote to keep the worklist clean. RTAT data was collected for remote vs. Read More

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