Establishing a risk stratification model to identify clinically high-risk N0 breast cancer who could benefit from regional nodal irradiation: a single institute analysis

By using our institute database, we establish a risk stratification system for identifying sub-group of pN0 BC patients, who are at high risk for developing recurrence. The results of our study support tailored RT decision-making according to individual risks, which needed to be confirmed in further studies.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2024-09-13
DOI
https://doi.org/10.3389/fonc.2024.1290852
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishing a risk stratification model to identify clinically high-risk N0 breast cancer who could benefit from regional nodal irradiation: a single institute analysis

Dan Ou, Lu Cao, Jiayi Chen, Shuyan Li et al.
Frontiers in Oncology
Breast Cancer Treatment Studies
article

Establishing a risk stratification model to identify clinically high-risk N0 breast cancer who could benefit from regional nodal irradiation: a single institute analysis

Dan Ou, Lu Cao, Jiayi Chen, Shuyan Li, Haoping Xu, Wei-Xiang Qi, Gang Cai, Cheng Xu, Rong Cai
article en

Abstract

By using our institute database, we establish a risk stratification system for identifying sub-group of pN0 BC patients, who are at high risk for developing recurrence. The results of our study support tailored RT decision-making according to individual risks, which needed to be confirmed in further studies.

Frontiers in OncologyVol. 14
Ruijin Hospital (CN)
National Science Foundation, Shanghai Municipal Health Commission, National Natural Science Foundation of China
Openalex Percentile: Top 78%
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.

Establishing a risk stratification model to identify clinically high-risk N0 breast cancer who could benefit from regional nodal irradiation: a single institute analysis — Dan Ou, Lu Cao, et al. · Frontiers in Oncology (2024) | TGRS Research Map | TGRS