Breast Cancer-Related Lymphedema: Differentiating Fat from Fluid Using Magnetic Resonance Imaging Segmentation

淋巴水肿 吸脂 医学 磁共振成像 乳腺癌 淋巴 放射科 细胞外液 核医学 癌症 外科 病理 内科学 细胞外 生物 细胞生物学
作者
Yuka Sen,Yi Qian,Louise Koelmeyer,Robert Borotkanics,Robyn Ricketts,Helen Mackie,Thomas Lam,Kevin Ho‐Shon,Hiroo Suami,John Boyages
出处
期刊:Lymphatic Research and Biology [Mary Ann Liebert, Inc.]
卷期号:16 (1): 20-27 被引量:22
标识
DOI:10.1089/lrb.2016.0047
摘要

Background: Lymphedema is an iatrogenic complication after breast cancer treatment in which lymph fluid in the affected limb progresses to fat deposition and fibrosis that are amenable to liposuction treatment. Magnetic resonance imaging (MRI) for lymphedema can differentiate fat tissue from fluid, but estimating relative volumes remains problematic. Methods and Results: Patients underwent routine bilateral arm MRI both before and after liposuction for advanced lymphedema. The threshold-based level set (TLS) segmentation method was applied to segment the geometric image data and to measure volumes of soft tissue (fat, muscle, and lymph fluid) and bone. Bioimpedance testing (L-Dex®) to detect extracellular fluid was also used. Volumes derived by using TLS or girth measurement were evaluated and showed consistent agreement, whereas L-Dex showed no significant reduction between pre- and postoperative measures. The percentage median volume difference between the affected and unaffected sides was 132.4% for girth measures compared with 137.2% for TLS (p = 0.175) preoperatively, and 99.8% and 98.5%, respectively (p = 0.600), postoperatively. MRI segmentation detected reductions in fat (median 52.6%, p = 0.0163) and lymph fluid (median 66%, p = 0.094), but the volumes of muscle and bone were relatively constant. Conclusions: MRI imaging with TLS technology may be a useful tool to quantitatively measure fat tissue and fluid for patients with advanced lymphedema and may assist in the selection of eligible liposuction candidates at initial assessment and follow-up of patients who proceed with surgery.

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