Characterization of Upper Extremity Lymphedema Following Breast Cancer Treatment Utilizing Diffusion Kurtosis MRI

Motivation: Lymphedema, a chronic condition with insufficient lymphatic drainage, lacks quantitative tools for severity assessment, especially in terms of tissue inflammation and fibrosis. Goal(s): To investigate diffusion MRI's role in quantitatively assessing lymphedema, focusing on its potential for preoperative planning and postoperative monitoring. Approach: The study utilizes multishot diffusion‐weighted echo planar imaging and derives diffusion metrics (MD, FA, MK) to assess tissue characteristics in normal subjects and lymphedema patients. Results: Compared with normal subjects, significantly higher MD and lower FA and MK are found in the outer regions of lymphedema patients, indicating the feasibility of diffusion MRI for diagnosing lymphedema and evaluating its severity. Impact: This study provides a quantitative approach to delineate the tissue characteristics of lymphedema by utilizing diffusion kurtosis MRI, enabling a more precise and non-invasive way to assess the severity, which could be potentially helpful to the surgical planning of lymphedema.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2180
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
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article

Characterization of Upper Extremity Lymphedema Following Breast Cancer Treatment Utilizing Diffusion Kurtosis MRI

Chen‐Hsiang Kuan, Kuan‐Hung Cho, Sung‐Chuan Chao, I S Lee et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
MRI in cancer diagnosis
article

Characterization of Upper Extremity Lymphedema Following Breast Cancer Treatment Utilizing Diffusion Kurtosis MRI

Chen‐Hsiang Kuan, Kuan‐Hung Cho, Sung‐Chuan Chao, I S Lee, Li‐Wei Kuo, Yu-Chien Chang, Yung-Chun Hsieh, Yeefan Lee, Chih-Hsing Tang
article en

Abstract

Motivation: Lymphedema, a chronic condition with insufficient lymphatic drainage, lacks quantitative tools for severity assessment, especially in terms of tissue inflammation and fibrosis. Goal(s): To investigate diffusion MRI's role in quantitatively assessing lymphedema, focusing on its potential for preoperative planning and postoperative monitoring. Approach: The study utilizes multishot diffusion‐weighted echo planar imaging and derives diffusion metrics (MD, FA, MK) to assess tissue characteristics in normal subjects and lymphedema patients. Results: Compared with normal subjects, significantly higher MD and lower FA and MK are found in the outer regions of lymphedema patients, indicating the feasibility of diffusion MRI for diagnosing lymphedema and evaluating its severity. Impact: This study provides a quantitative approach to delineate the tissue characteristics of lymphedema by utilizing diffusion kurtosis MRI, enabling a more precise and non-invasive way to assess the severity, which could be potentially helpful to the surgical planning of lymphedema.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
MRI in cancer diagnosis
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Characterization of Upper Extremity Lymphedema Following Breast Cancer Treatment Utilizing Diffusion Kurtosis MRI — Chen‐Hsiang Kuan, Kuan‐Hung Cho, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS