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Editors' Recognition of Reviewers' Service and Awards for Distinction for Reviewing in 2022
The ability of JCAT to publish peer-reviewed articles is due to the efforts of our dedicated editorial board and our many ...
Journal Of Computer Assisted Tomography
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Quantitative Assessment of Lipiodol-Related Artifact Reduction for Dual-Energy Computed Tomography After Transcatheter Arterial Chemoembolization: A Phantom Study Evaluating the Use of Metal Artifact Reduction Algorithms
Objective This study used metal artifact reduction (MAR) software to examine the computed tomogra
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Performing Quality Control on Magnetic Resonance Imaging Liver Fat/Iron Quantification Studies: A Critical Requirement
Objective Nonalcoholic fatty liver and iron overload can lead to cirrhosis requiring early detect
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Predicting Breast Cancer Subtypes Using Magnetic Resonance Imaging Based Radiomics With Automatic Segmentation
Objective The aim of the study is to demonstrate whether radiomics based on an automatic segmenta
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What Is New in Stage 3 of the 2019 Revised Association Research Circulation Osseous Staging System of Osteonecrosis of the Femoral Head: A Relationship to Bone Resorption
Purpose The aim of the study is to evaluate the stage 3 findings of the 2019 revision of the Asso
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Oligodendrocyte Transcription Factor 2 as a Potential Prognostic Biomarker of Glioblastoma: Kaplan-Meier Analysis and the Development of a Binary Predictive Model Based on Visually Accessible Rembrandt Image and Magnetic Resonance Imaging Radiomic Features
Objective Oligodendrocyte transcription factor 2 (OLIG2) is universally expressed in human gliobl
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Diagnostic Value of Computed Tomography Angiography in Suspected Acute Ischemic Stroke Patients With Respect to National Institutes of Health Stroke Scale Score
Objective Noncontrast computed tomography (NCCT) plus computed tomography angiography (CTA) is th
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Effect of Truncal-Type Occlusion Based on Multiphase or Single-Phase Computed Tomographic Angiography in Predicting Intracranial Atherosclerotic Stenosis–Related Acute Middle Cerebral Artery Occlusion
Objective To investigate whether truncal-type occlusion based on multiphase computed tomographic
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Deep Learning–Based Image Noise Quantification Framework for Computed Tomography
Objective Noise quantification is fundamental to computed tomography (CT) image quality assessmen
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Can Anterior Osteophyte Fractures Be Distinguished From Fracture Mimics in the Subaxial Cervical Spine? A Retrospective Analysis Evaluating Reported Fractures With Clinical Management Correlation
Objective This study aimed to retrospectively distinguish true- from false-positive fractures of
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Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network
Objectives We evaluated the feasibility of using deep learning with a convolutional neural networ
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Correlation Between Apparent Diffusion Coefficient and the Ki-67 Proliferation Index in Grading Pediatric Glioma
Objective This study aimed to investigate the correlation between apparent diffusion coefficient
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Musculoskeletal Computed Tomography: How to Add Value When Reporting Adult Upper Limb Trauma
There is increasing reliance on computed tomography to evaluate fractures and dislocations following
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Effect of 320-Row Computed Tomography Acquisition Technology on Coronary Computed Tomography Angiography–Derived Fractional Flow Reserve Based on Machine Learning: Systolic and Diastolic Scan Acquisition
Background The aim of the study is to investigate the performance of coronary computed tomography
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Osseous-Tissue Tumor Reporting and Data System With Diffusion-Weighted Imaging of Bone Tumors—An Interreader Analysis and Whether It Adds Incremental Value on Tumor Grading Over Conventional Magnetic Resonance Imaging
Objective The aim of the study is to determine whether the use of diffusion-weighted imaging (DWI
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The “Crossing Collection Sign”: A Diagnostic Tool on Spine Magnetic Resonance Imaging For Localizing Cerebrospinal Fluid Leak
Objective The aim of the study is to determine whether the site of “cross” between ventral and do
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Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging With Various Sequences
Objective For compressed sensing (CS) to become widely used in routine magnetic resonance imaging
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