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  • [Breast Cancer Res Treat .] Quantitative assessment of breast volume changes after whole-breast irradiation for breast cancer using breast auto-segmentation

    성균관의대 / 이태훈, 안상희, 김해영*

  • 출처
    Breast Cancer Res Treat .
  • 등재일
    2024 Jan
  • 저널이슈번호
    203(2):205-214. doi: 10.1007/s10549-023-07146-0.
  • 내용

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    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.

     

     

    Affiliations

    Tae Hoon Lee # 1, Sang Hee Ahn # 1, Kwangzoo Chung 1, Won Park 1, Won Kyung Cho 1, Nalee Kim 1, Tae Gyu Kim 2, Haeyoung Kim 3
    1Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
    2Department of Radiation Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea.
    3Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea. haeyoung0131.kim@samsung.com.
    #Contributed equally.

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

    deep learning autosegmentation을 이용하여 유방보존수술 후 방사선치료를 받은 이후의 유방용적의 변화를 분석한 논문으로, 시간이 경과할수록 감소폭이 커짐을 제시함

    2024-03-07 12:25:03

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