Radiology

Incremental Value of Perivascular Adipose Tissue Radiomics for Non-contrast CT-Based Detection of Aortic Dissection: a Multicenter Study.

Aortic dissection (AD) requires prompt diagnosis, but non-contrast computed tomography (NCCT) has limited sensitivity. Perivascular adipose tissue (PVAT) may reflect vascular inflammation; however, its diagnostic contribution on NCCT and incremental value beyond aortic radiomics remain unclear. This retrospective multicenter study included 581 patients from one center for model development and int...

Multimodal AI Methods for Predicting Pathologic Complete Response in Breast Cancer.

Neoadjuvant chemotherapy (NAC) can eliminate all invasive cancer in some breast cancer patients, achieving a pathologic complete response (pCR) that is associated with a better prognosis. Prediction of pCR from pre-treatment radiology imaging is challenging but could provide immense value in the treatment planning. We propose a novel multimodal deep learning approach that combines pre-treatment dy...

Reinventing the echocardiography workflow: from manual quantification to artificial intelligence-driven comprehensive interpretation.

Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including manual acquisition, sequential measuremen...

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features.

This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by inte...

Two-dimensional to three-dimensional knee reconstruction from radiographs and fluoroscopy: A systematic review of methods and accuracy (1995-2025).

Three-dimensional reconstruction of the knee plays an important role in orthopedic surgery and clinical decision-making, enabling precise implant plan...

Automated Hand Flexor Tendon Thickness Measurement in Systemic Sclerosis.

OBJECTIVE: Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are ...

Automated quantification of parafoveal microvascular complexity using deep learning-based OCTA segmentation and foveal avascular zone detection.

BACKGROUND: Quantitative analysis of retinal microvasculature from optical coherence tomography angiography (OCTA) is limited by artifacts and manual ...

A dual-discriminator conditional generative adversarial network (DDcGAN) approach to glioma grade classification with structural MRI images fusion.

Glioma grade is a critical parameter of clinical management. Recent advances in artificial intelligence (AI)-based image fusion have enabled effective...

Clinical Specialty Expansion of AI-Enabled and Machine Learning-Enabled Medical Devices Authorized by the US Food and Drug Administration From 1995 to 2025: Longitudinal Content Analysis.

BACKGROUND: The US Food and Drug Administration (FDA) has authorized AI-enabled and machine learning (ML)-enabled medical devices since 1995 and maint...

Evaluation of the physical and radiological properties of different Fricke gel formulations as water-equivalent materials and biological tissues.

Fricke gel dosimeters, also known as hydrogels, have emerged as attractive tools in clinical dosimetry due to the requirements of quality assurance pr...

Diagnosis of Clinically Significant Prostate Cancer in Multiparametric MRI with Pseudo-Localization of Suspected Lesion.

To develop a two-stage diagnostic framework using pseudo-localization for patient-level diagnosis of clinically significant prostate cancer (csPCa) on...

Machine Learning-Based Prediction of Fibular Artery Septocutaneous Perforators.

BACKGROUND: Reliable identification of septocutaneous fibular artery perforators is important for free fibula flap harvest involving a skin paddle. Wh...

Optimizing gadolinium-enhanced CNS MRI: From physics to clinical practice.

Gadolinium-based contrast agents (GBCAs) are essential for the evaluation of central nervous system (CNS) disorders, enhancing lesion detection, chara...

Distinct relationships of compartment-specific fat distribution profiles with cardiovascular ageing and future cardiovascular events.

BACKGROUND: Obesity is a major contributor to cardiovascular disease (CVD). Different fat depots may have distinct effects on cardiac ageing and cardi...

Artificial Intelligence Detection of Interval Breast Cancers on False-negative Screening Mammograms: A Retrospective Lesion-level Analysis.

RATIONALE AND OBJECTIVES: Interval breast cancers (IBCs) occur after false-negative (FN) screening mammograms and can be diagnostically challenging. T...

Pulmonary Artery-to-Vein Volume Difference: A New Imaging Biomarker for Risk Stratification in Acute Pulmonary Embolism.

RATIONALE AND OBJECTIVES: To propose a new imaging biomarker, the pulmonary artery-to-vein volume difference (PAVVD), and evaluate its efficacy in ris...

Research Progress of Diabetes-related Glaucoma: Mechanisms, Impacts and Management Strategies.

Diabetes mellitus (DM), a highly prevalent metabolic disorder, is increasingly recognised for its significant association with glaucoma, a leading cau...

Multimodal Ultrasound-Based Decision Support for Bethesda IV Thyroid Nodules: Integration of Clinical, Radiomics, Deep Learning, and Topological Features.

To develop and internally validate a multimodal ultrasound-based decision support framework for benign-malignant risk stratification of Bethesda IV th...

The Imaging Compass: Navigating Reperfusion in Acute Ischemic Stroke.

The management of acute ischemic stroke has shifted from rigid time-based protocols to imaging-driven, tissue-based reperfusion strategies. Non-contra...

Deep-DSP2: Cross-Domain Deep Learning Direct MR Signal Prediction for RF Shielding-Free MRI.

PURPOSE: To develop a deep learning approach to electromagnetic interference (EMI) elimination in the presence of dynamically varying electromagnetic ...