Enhancing prognostic accuracy in invasive breast cancer by combining contrast-enhanced ultrasound and clinical data: a multicenter retrospective study

The integration of CEUS and clinical factors for non-invasive DFS prediction improves personalized risk stratification, minimizing unnecessary interventions for low-risk patients and ensuring adequate monitoring for high-risk individuals. Additional prospective validation is required to establish its clinical applicability and incorporation into standard oncology practice.

Authors

Institutions

Publication Details

Journal
Translational Cancer Research
Published
2025-02-01
DOI
https://doi.org/10.21037/tcr-2025-96
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing prognostic accuracy in invasive breast cancer by combining contrast-enhanced ultrasound and clinical data: a multicenter retrospective study

Yongqi Fang, Kefah Mokbel, Hua Yang, Yongjie Xu et al.
1 citations
Translational Cancer Research
Breast Cancer Treatment Studies
0.94
article

Enhancing prognostic accuracy in invasive breast cancer by combining contrast-enhanced ultrasound and clinical data: a multicenter retrospective study

Yongqi Fang, Kefah Mokbel, Hua Yang, Yongjie Xu, Wei Wang, Shiyu Li, Yueming Li, Sisi Huang, Zhili Wang, Zhiying Jin
article en
1 citations

Abstract

The integration of CEUS and clinical factors for non-invasive DFS prediction improves personalized risk stratification, minimizing unnecessary interventions for low-risk patients and ensuring adequate monitoring for high-risk individuals. Additional prospective validation is required to establish its clinical applicability and incorporation into standard oncology practice.

Translational Cancer ResearchVol. 14(2)
Chinese PLA General Hospital (CN), The Princess Grace Hospital (GB), First Affiliated Hospital of Chinese PLA General Hospital (CN), PLA Academy of Military Science (CN)
Good health and well-being
Openalex Percentile: Top 28%
Breast Cancer Treatment Studies
0.94
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.