Radiomics-Based Prediction of Lymphedema after Radiotherapy in Breast Cancer: Integrating Clinical and Dosimetric Features

Integrating radiomic features with clinical and dosimetric factors showed potential to enhance lymphedema prediction in patients with breast cancer receiving PORT. This model can potentially guide personalized treatment strategies and improve patient outcomes.

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Publication Details

Journal
Cancer Research and Treatment
Published
2026-01-13
DOI
https://doi.org/10.4143/crt.2025.985
Primary Topic
Lymphatic System and Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Radiomics-Based Prediction of Lymphedema after Radiotherapy in Breast Cancer: Integrating Clinical and Dosimetric Features

Dowook Kim, Ji Hyun Chang, Kwan Ho Cho, Seung Hyuck Jeon et al.
Cancer Research and Treatment
Lymphatic System and Diseases
article

Radiomics-Based Prediction of Lymphedema after Radiotherapy in Breast Cancer: Integrating Clinical and Dosimetric Features

Dowook Kim, Ji Hyun Chang, Kwan Ho Cho, Seung Hyuck Jeon, Jae Sik Kim, Jin Ho Kim, Bum-Sup Jang
article en

Abstract

Integrating radiomic features with clinical and dosimetric factors showed potential to enhance lymphedema prediction in patients with breast cancer receiving PORT. This model can potentially guide personalized treatment strategies and improve patient outcomes.

Cancer Research and Treatment
Chungnam National University (KR), Soonchunhyang University Hospital Seoul (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR)
Seoul National University, Soonchunhyang University, Seoul National University Hospital
Good health and well-being
Openalex Percentile: Top 89%
Lymphatic System and Diseases
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Radiomics-Based Prediction of Lymphedema after Radiotherapy in Breast Cancer: Integrating Clinical and Dosimetric Features — Dowook Kim, Ji Hyun Chang, et al. · Cancer Research and Treatment (2026) | TGRS Research Map | TGRS