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Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study
Objectives Whole-body magnetic resonance imaging (WB-MRI) has been demonstrated to be efficient a
Breast DWI Analyzed Before and After Gadolinium Contrast Administration—An Intrapatient Analysis on 1.5 T and 3.0 T
Breast DWI Analyzed Before and After Gadolinium Contrast Administration—An Intrapatient Analysis on 1.5 T and 3.0 T
Objectives Diffusion-weighted magnetic resonance imaging (MRI) is gaining popularity as an additi
Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness: Implications for Imaging Research
Liver Cancer Vascularity Driven by Extracellular Matrix Stiffness: Implications for Imaging Research
Background Extracellular matrix stiffness represents a barrier to effective local and systemic dr
Accelerated Diffusion-Weighted Imaging in 3 T Breast MRI Using a Deep Learning Reconstruction Algorithm With Superresolution Processing: A Prospective Comparative Study
Accelerated Diffusion-Weighted Imaging in 3 T Breast MRI Using a Deep Learning Reconstruction Algorithm With Superresolution Processing: A Prospective Comparative Study
Objectives Diffusion-weighted imaging (DWI) enhances specificity in multiparametric breast MRI bu
In Vivo Validation of Modulated Acoustic Radiation Force–Based Imaging in Murine Model of Abdominal Aortic Aneurysm Using VEGFR-2–Targeted Microbubbles
In Vivo Validation of Modulated Acoustic Radiation Force–Based Imaging in Murine Model of Abdominal Aortic Aneurysm Using VEGFR-2–Targeted Microbubbles
Objectives The objective of this study is to validate the modulated acoustic radiation force (mAR
A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans
A Multiclass Radiomics Method–Based WHO Severity Scale for Improving COVID-19 Patient Assessment and Disease Characterization From CT Scans
Objectives The aim of this study was to evaluate the severity of COVID-19 patients' disease by co
Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data
Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data
Objectives Artificial intelligence (AI) methods can be applied to enhance contrast in diagnostic
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC
Objectives Optimizing a machine learning (ML) pipeline for radiomics analysis involves numerous c
Deep Learning–Accelerated Liver Diffusion-Weighted Imaging: Intraindividual Comparison and Additional Phantom Study of Free-Breathing and Respiratory-Triggering Acquisitions
Deep Learning–Accelerated Liver Diffusion-Weighted Imaging: Intraindividual Comparison and Additional Phantom Study of Free-Breathing and Respiratory-Triggering Acquisitions
Objectives Deep learning–reconstructed diffusion-weighted imaging (DL-DWI) is an emerging promisi
The Importance of Temporal Resolution for Ultra-High-Resolution Coronary Angiography: Evidence From Photon-Counting Detector CT
The Importance of Temporal Resolution for Ultra-High-Resolution Coronary Angiography: Evidence From Photon-Counting Detector CT
Purpose The aim of this study was to assess the effect of temporal resolution on subjective and o
Dark-Field Chest Radiography Outperforms Conventional Chest Radiography for the Diagnosis and Staging of Pulmonary Emphysema
Dark-Field Chest Radiography Outperforms Conventional Chest Radiography for the Diagnosis and Staging of Pulmonary Emphysema
Objectives Dark-field chest radiography (dfCXR) has recently reached clinical trials. Here we com
Panoramic Magnetic Resonance Imaging of the Breast With a Wearable Coil Vest
Panoramic Magnetic Resonance Imaging of the Breast With a Wearable Coil Vest
Background Breast cancer, the most common malignant cancer in women worldwide, is typically diagn
Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning
Automatic Detection of Pancreatic Lesions and Main Pancreatic Duct Dilatation on Portal Venous CT Scans Using Deep Learning
Objectives This study proposes and evaluates a deep learning method to detect pancreatic neoplasm
Shaken or Stirred? The Inconsistencies of Manual Contrast Media Dilution in Endovascular Interventions
Shaken or Stirred? The Inconsistencies of Manual Contrast Media Dilution in Endovascular Interventions
Objective Materials and Methods Phase I: Eleven radiological technologists were asked to fill
Photon-Counting Detector CT Angiography for Endoleak Detection After Endovascular Aortic Repair: Triphasic CT With True Noncontrast Versus Biphasic CT With Virtual Noniodine Imaging
Photon-Counting Detector CT Angiography for Endoleak Detection After Endovascular Aortic Repair: Triphasic CT With True Noncontrast Versus Biphasic CT With Virtual Noniodine Imaging
Objectives The aim of this study was to compare image quality and endoleak detection after endova
Automated Triage of Screening Breast MRI Examinations in High-Risk Women Using an Ensemble Deep Learning Model
Automated Triage of Screening Breast MRI Examinations in High-Risk Women Using an Ensemble Deep Learning Model
Objectives The aim of the study is to develop and evaluate the performance of a deep learning (DL
Influence of Residual Quadrupolar Interaction on Quantitative Sodium Brain Magnetic Resonance Imaging of Patients With Multiple Sclerosis
Influence of Residual Quadrupolar Interaction on Quantitative Sodium Brain Magnetic Resonance Imaging of Patients With Multiple Sclerosis
Objectives The purpose of this work was to evaluate the influence of residual quadrupolar interac
Photon-Counting Versus Energy-Integrating Detector CT Angiography of the Lower Extremity in a Human Cadaveric Model With Continuous Extracorporeal Perfusion
Photon-Counting Versus Energy-Integrating Detector CT Angiography of the Lower Extremity in a Human Cadaveric Model With Continuous Extracorporeal Perfusion
Objectives Detailed visualization of the arterial runoff is mandatory for the assessment of perip
Artificial Intelligence to Reduce or Eliminate the Need for Gadolinium-Based Contrast Agents in Brain and Cardiac MRI: A Literature Review
Artificial Intelligence to Reduce or Eliminate the Need for Gadolinium-Based Contrast Agents in Brain and Cardiac MRI: A Literature Review
Brain and cardiac MRIs are fundamental noninvasive imaging tools, which can provide important clinic
Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising
Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising
Introduction Prostate cancer diffusion weighted imaging (DWI) MRI is typically performed at high-
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics
Objectives In multiple myeloma and its precursor stages, plasma cell infiltration (PCI) and cytog
Improved Breast 2D SWE Algorithm to Eliminate False-Negative Cases
Improved Breast 2D SWE Algorithm to Eliminate False-Negative Cases
Objectives Two-dimensional shear wave elastography (SWE) has been limited in breast lesion charac
Improved Brain Tumor Conspicuity at 3 T Using Dark Blood, Fat-Suppressed, Dixon Unbalanced T1 Relaxation-Enhanced Steady-State MRI
Improved Brain Tumor Conspicuity at 3 T Using Dark Blood, Fat-Suppressed, Dixon Unbalanced T1 Relaxation-Enhanced Steady-State MRI
Objectives Contrast-enhanced magnetic resonance imaging (MRI) is the cornerstone for brain tumor
A New Algorithm for Automatically Calculating Noise, Spatial Resolution, and Contrast Image Quality Metrics: Proof-of-Concept and Agreement With Subjective Scores in Phantom and Clinical Abdominal CT
A New Algorithm for Automatically Calculating Noise, Spatial Resolution, and Contrast Image Quality Metrics: Proof-of-Concept and Agreement With Subjective Scores in Phantom and Clinical Abdominal CT
Objectives The aims of this study were to develop a proof-of-concept computer algorithm to automa
Molecular Magnetic Resonance Imaging of Aneurysmal Inflammation Using a Redox Active Iron Complex
Molecular Magnetic Resonance Imaging of Aneurysmal Inflammation Using a Redox Active Iron Complex
Objectives Inflammation plays a key role in driving brain aneurysmal instability and rupture, but
Impact of Vasodilation on Oxygen-Enhanced Functional Lung MRI at 0.55 T
Impact of Vasodilation on Oxygen-Enhanced Functional Lung MRI at 0.55 T
Background Oxygen-enhanced magnetic resonance imaging (OE-MRI) can be used to assess regional lun
Photon Counting Detector CT-Based Virtual Noniodine Reconstruction Algorithm for In Vitro and In Vivo Coronary Artery Calcium Scoring: Impact of Virtual Monoenergetic and Quantum Iterative Reconstructions
Photon Counting Detector CT-Based Virtual Noniodine Reconstruction Algorithm for In Vitro and In Vivo Coronary Artery Calcium Scoring: Impact of Virtual Monoenergetic and Quantum Iterative Reconstructions
Objectives The aim of this study was to evaluate the impact of virtual monoenergetic imaging (VMI
Artifact Reduction From Dental Material in Photon-Counting Detector Computed Tomography Data Sets Based on High-keV Monoenergetic Imaging and Iterative Metal Artifact Reduction Reconstructions—Can We Combine the Best of Two Worlds?
Artifact Reduction From Dental Material in Photon-Counting Detector Computed Tomography Data Sets Based on High-keV Monoenergetic Imaging and Iterative Metal Artifact Reduction Reconstructions—Can We Combine the Best of Two Worlds?
Objective The aim of this study was to compare the effectiveness of common strategies for artifac
High-Pitch Multienergy Coronary CT Angiography in Dual-Source Photon-Counting Detector CT Scanner at Low Iodinated Contrast Dose
High-Pitch Multienergy Coronary CT Angiography in Dual-Source Photon-Counting Detector CT Scanner at Low Iodinated Contrast Dose
Objectives The aim of this study was to evaluate the high-helical pitch, multienergy (ME) scannin
ComBat Harmonization for MRI Radiomics: Impact on Nonbinary Tissue Classification by Machine Learning
ComBat Harmonization for MRI Radiomics: Impact on Nonbinary Tissue Classification by Machine Learning
Objectives The aims of this study were to determine whether ComBat harmonization improves multicl
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