[Factors Influencing Progression on the Ultrasound BI-RADS Categories: An Analysis Based on a Breast Cancer Screening Cohort].

The risk factors for progression in ultrasound BI-RADS categories overlap with the risk factors for breast cancer. A risk score based on the high-risk factors for BI-RADS progression can be constructed to optimize screening programs for high-risk populations and improve the efficiency of breast cancer screening.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-11-20
DOI
https://doi.org/10.12182/20241160508
Primary Topic
Breast Lesions and Carcinomas
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[Factors Influencing Progression on the Ultrasound BI-RADS Categories: An Analysis Based on a Breast Cancer Screening Cohort].

Bin Xu, Yilin Teng, Huifang Yang, Wanting Feng et al.
PubMed
Breast Lesions and Carcinomas
article

[Factors Influencing Progression on the Ultrasound BI-RADS Categories: An Analysis Based on a Breast Cancer Screening Cohort].

Bin Xu, Yilin Teng, Huifang Yang, Wanting Feng, Weidong Luo, Jiayuan Li
article en

Abstract

The risk factors for progression in ultrasound BI-RADS categories overlap with the risk factors for breast cancer. A risk score based on the high-risk factors for BI-RADS progression can be constructed to optimize screening programs for high-risk populations and improve the efficiency of breast cancer screening.

PubMedVol. 55(6)
Sichuan University (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN)
Breast Lesions and Carcinomas
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.