Development and validation of a predictive model for disease-free progression in triple-negative breast cancer: A retrospective study using color Doppler ultrasound and magnetic resonance imaging

The predictive model for disease-free progression in TNBC, based on imaging parameters from breast color Doppler ultrasound and MRI, demonstrates feasibility. Further studies are recommended to confirm its clinical applicability.

Authors

Institutions

Publication Details

Journal
The Breast
Published
2025-08-22
DOI
https://doi.org/10.1016/j.breast.2025.104560
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a predictive model for disease-free progression in triple-negative breast cancer: A retrospective study using color Doppler ultrasound and magnetic resonance imaging

Li Fan, Huanhuan Yan, Jun Shen, Ben-Kai Wei
The Breast
Breast Cancer Treatment Studies
article

Development and validation of a predictive model for disease-free progression in triple-negative breast cancer: A retrospective study using color Doppler ultrasound and magnetic resonance imaging

Li Fan, Huanhuan Yan, Jun Shen, Ben-Kai Wei
article en

Abstract

The predictive model for disease-free progression in TNBC, based on imaging parameters from breast color Doppler ultrasound and MRI, demonstrates feasibility. Further studies are recommended to confirm its clinical applicability.

The BreastVol. 83
Lianyungang Oriental Hospital (CN), The First People’s Hospital of Lianyungang (CN)
Good health and well-being
Openalex Percentile: Top 72%
Breast Cancer Treatment Studies
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.