Quantitative assessment of breast volume changes after whole-breast irradiation for breast cancer using breast auto-segmentation

Tae Hoon Lee, Sang Hee Ahn, Kwangzoo Chung, Won Park, Won Kyung Cho, Nalee Kim, Tae Gyu Kim, Haeyoung Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This study aimed to quantitatively estimate the changes in breast volume associated with radiotherapy in patients undergoing breast-conserving surgery and whole-breast irradiation (WBI). Methods: Pre-WBI simulation computed tomography (CT) scans and post-WBI follow-up chest CT scans from a total of 1,151 breast cancer patients were analyzed using a deep-learning-driven auto-segmentation approach. The CT-based asymmetry index (CTAI) was calculated by dividing the volume of the irradiated breast by the volume of the contralateral breast. Significant breast shrinkage was defined as a CTAI < 0.85. To quantify changes in CTAI over the follow-up period, the CTAI ratio was determined as the post-WBI CTAI divided by the pre-WBI CTAI. A multivariate logistic regression analysis was conducted to identify potential variables associated with post-WBI significant breast shrinkage. Results: The median CTAI values for pre- and post-WBI CT scans were 0.973 (interquartile range: 0.887–1.069) and 0.866 (interquartile range: 0.773–0.967), respectively. The difference between them was statistically significant (p < 0.001). Following WBI, there was an increase in the rate of significant breast shrinkage from 16.3 to 44.8%. The CTAI ratio showed a negative association with the time interval (p < 0.001, Pearson r = − 0.310). In the multivariate logistic regression analysis, lower pre-WBI CTAI, younger age, and longer interval between CT scans were found to be significantly associated with a higher occurrence of post-WBI significant breast shrinkage. Conclusion: Breast volume decreases following WBI, and this decrease is correlated with an increased duration after WBI. These findings highlight the long-term consequences of WBI on breast asymmetry.

Original languageEnglish
Pages (from-to)205-214
Number of pages10
JournalBreast Cancer Research and Treatment
Volume203
Issue number2
DOIs
StatePublished - Jan 2024

Keywords

  • Breast volume changes
  • Breast-conserving surgery
  • CT-based asymmetry index
  • Deep learning
  • Radiotherapy-induced fibrosis
  • Whole-breast irradiation

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