AI Article Synopsis
- BI-RADS, developed by the American College of Radiology, is a standardized system for describing mammography, ultrasound, and MRI studies related to breast imaging.
- It includes guidelines for documenting radiologic studies, terminology for different lesion types, and assessment categories with recommendations for patient management.
- The 2013 edition enhances the use of BI-RADS in interpreting MRI for breast cancer, aiming to improve diagnosis and prognosis for breast tumor diseases.
Article Abstract
The Breast Imaging Reporting and Data System (BI-RADS) is a practical tool developed by the American College of Radiology to standardize the description of mammography, ultrasound study, and magnetic resonance mammography. BI-RADS includes recommendations for the structure of a protocol to describe radiologic studies; terminology to characterize three major types of lesions (focus, mass, contrasting area); as well as assessment categories and their corresponding recommendations for further patient management. The publication gives general information on the new edition of BI-RADS (2013) and illustrates its use to interpret magnetic resonance mammograms in breast cancer. The wider introduction of BI-RADS at all stages from screening to diagnostic verification will improve the quality of diagnosis and prognosis in breast tumor diseases.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Imaging-based prediction of early recurrence and neoadjuvant therapy outcomes for resectable beyond Milan HCC.
Eur J Radiol
January 2025
Department of Radiology, West China Hospital Sichuan University Chengdu Sichuan China. Electronic address:
Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.
Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.
Long-Term Impact of Using Mobile Phones and Playing Computer Games on the Brain Structure and the Risk of Neurodegenerative Diseases: Large Population-Based Study.
J Med Internet Res
January 2025
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Background: Despite the increasing popularity of electronic devices, the longitudinal effects of daily prolonged electronic device usage on brain health and the aging process remain unclear.
Objective: The aim of this study was to investigate the impact of the daily use of mobile phones/computers on the brain structure and the risk of neurodegenerative diseases.
Methods: We used data from the UK Biobank, a longitudinal population-based cohort study, to analyze the impact of mobile phone use duration, weekly usage time, and playing computer games on the future brain structure and the future risk of various neurodegenerative diseases, including all-cause dementia (ACD), Alzheimer disease (AD), vascular dementia (VD), all-cause parkinsonism (ACP), and Parkinson disease (PD).
Advances in High-Resolution Mass Spectrometry-Based Metabolomics: Applications in Food Analysis and Biomarker Discovery.
J Agric Food Chem
January 2025
Yibin Academy of Southwest University, Yibin 644000, China.
Consumer concerns regarding food nutrition and quality are becoming increasingly prevalent. High-resolution mass spectrometry (HRMS)-based metabolomics stands as a cutting-edge and widely embraced technique in the realm of food component analysis and detection. It boasts the capability to identify character metabolites at exceedingly low abundances, which remain undetectable by conventional platforms.
View Article and Find Full Text PDFGadolinium-Enhanced 3-Dimensional MRI for Diagnosis and Surgical Planning of Posterior Epidural Migration of Lumbar Disc Fragment: A Case Report.
JBJS Case Connect
October 2024
Department of Orthopaedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Case: A 34-year-old man presented at our hospital with knee collapse. Magnetic resonance imaging (MRI) revealed posterior compression of the dural sac by a lumbar epidural lesion; however, a diagnosis could not be reached. Gadolinium (Gd)-enhanced 3-dimensional MRI (3D-MRI) clearly delineated the morphology, enabling us to make a preoperative diagnosis of posterior epidural migration of the lumbar disc fragment (PEMLDF).
View Article and Find Full Text PDFA clinical study exploring the prediction of microvascular invasion in hepatocellular carcinoma through the use of combined enhanced CT and MRI radiomics.
PLoS One
January 2025
Department of Geriatric Medicine, the Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Objective: To develop a predictive model for microvascular invasion (MVI) in hepatocellular carcinoma (HCC) through radiomics analysis, integrating data from both enhanced computed tomography (CT) and magnetic resonance imaging (MRI).
Methods: A retrospective analysis was conducted on 93 HCC patients who underwent partial hepatectomy. The gold standard for MVI was based on the histopathological diagnosis of the tissue.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!