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SCI Abstract
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Feasibility and Implementation of a 4D Free-Breathing Variable Density Stack-of-Stars Functional Magnetic Resonance Urography in Young Children Without Sedation
Background Functional magnetic resonance urography (MRU) is well established in the diagnostic wo
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Muscle Reference Values From Thoracic and Abdominal CT for Sarcopenia Assessment: The Framingham Heart Study
Background Loss of muscle mass is a known feature of sarcopenia and predicts poor clinical outcom
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Lung Nodule Detection With Modern Low-Field MRI (0.55 T) in Comparison to CT
Objectives The aim of this study was to evaluate the accuracy of modern low-field magnetic resona
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MRI of Temporomandibular Joint Disorders: A Comparative Study of 0.55 T and 1.5 T MRI
Objectives Temporomandibular disorders (TMDs) are common and may cause persistent functional limi
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Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction
Primary systemic therapy (PST) is the treatment of choice in patients with locally advanced breast c
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Highly Sensitive 3-Tesla Real Inversion Recovery MRI Detects Leptomeningeal Contrast Enhancement in Chronic Active Multiple Sclerosis
Background Leptomeningeal contrast enhancement (LME) on T2-weighted Fluid-Attenuated Inversion Re
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Safety, Tolerability, and Pharmacokinetics of a Novel Macrocyclic Gadolinium-Based Contrast Agent, HNP-2006, in Healthy Subjects
Objectives Gadolinium-based contrast agents (GBCAs) are indispensable in contrast-enhanced magnet
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Deep Learning–Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality
Objectives The aim of this study was to ascertain the predictive value of quantifying emphysema u
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The Glymphatic System in Humans: Investigations With Magnetic Resonance Imaging
The concept of the glymphatic system was proposed more than a decade ago as a mechanism for intersti
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Gadoxetic Acid–Enhanced Liver MRI: Everything You Need to Know
Since its introduction in the worldwide medical market, gadoxetic acid has attracted considerable in
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Quantitative Magnetic Resonance Imaging for the Pancreas: Current Status
Magnetic resonance imaging (MRI) is important for evaluating pancreatic disorders, and anatomical la
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Clinical Utility of Diffusion-Weighted Imaging in Gynecological Imaging: Revisited
Diffusion-weighted imaging (DWI) is an increasingly valuable sequence in daily clinical practice, pr
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Advancements in Diffusion MRI Tractography for Neurosurgery
Diffusion magnetic resonance imaging tractography is a noninvasive technique that enables the visual
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Lung Magnetic Resonance Imaging: Technical Advancements and Clinical Applications
Since lung magnetic resonance imaging (MRI) became clinically available, limited clinical utility ha
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Magnetic Resonance Water Tracer Imaging Using 17O-Labeled Water
Magnetic resonance imaging (MRI) is a crucial imaging technique for visualizing water in living orga
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Multiparametric Approach to Breast Cancer With Emphasis on Magnetic Resonance Imaging in the Era of Personalized Breast Cancer Treatment
A multiparametric approach to breast cancer imaging offers the advantage of integrating the diverse
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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
Objectives Whole-body magnetic resonance imaging (WB-MRI) has been demonstrated to be efficient a
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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