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  • [Int J Radiat Oncol Biol Phys .] Normal Tissue Complication Probability Modeling of Severe Radiation-Induced Lymphopenia Using Blood Dose for Patients With Hepatocellular Carcinoma

    2024년 09월호
    [Int J Radiat Oncol Biol Phys .] Normal Tissue Complication Probability Modeling of Severe Radiation-Induced Lymphopenia Using Blood Dose for Patients With Hepatocellular Carcinoma간세포암환자의 혈액투여량을 이용한 중증 방사선 유래 림프구 감소증의 정상 조직 합병증 확률 모델

    연세의대, 가톨릭의대 / 김서한, 이익재*, 성원모*

  • 출처
    Int J Radiat Oncol Biol Phys .
  • 등재일
    2024 Jul 1
  • 저널이슈번호
    119(3):1011-1020. doi: 10.1016/j.ijrobp.2023.11.060.
  • 내용

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    Abstract
    Purpose: This study aimed to develop a normal tissue complication probability (NTCP) model to estimate the risk of severe radiation-induced lymphopenia (SRIL; absolute lymphocyte count [ALC] < 500/μL) by using the blood dose of patients with hepatocellular carcinoma (HCC).

    Methods and materials: We retrospectively collected data from 75 patients with HCC who received radiation therapy (RT) between 2015 and 2018. The hematological dose framework calculated blood dose-volume histograms (DVHs) using a predefined blood flow model, organ DVHs, the number of treatment fractions, and beam delivery time. A Lyman-Kutcher-Burman model with a generalized equivalent dose was used to establish the NTCP model, reflecting the whole-blood DVHs. Optimization of the Lyman-Kutcher-Burman parameters was conducted by minimizing a negative log-likelihood function.

    Results: There were 6, 4, 18, 33, and 14 patients in the groups with radiation-induced lymphopenia grades 0, 1, 2, 3, and 4, respectively. The median pre- and post-RT ALC values were 1410/μL (range, 520-3710/μL) and 470/μL (range, 60-1760/μL), respectively. There was a correlation between mean blood dose and ALC depletion (Pearson r = -0.664; P < .001). The average mean blood doses in each radiation-induced lymphopenia group were 2.90 Gy (95% CI, 1.96-3.85 Gy) for grade 0 to 1, 5.29 Gy (95% CI, 4.12-6.45 Gy) for grade 2, 8.81 Gy (95% CI, 7.55-10.07 Gy) for grade 3, and 11.69 Gy (95% CI, 9.82-17.57 Gy) for grade 4. When applying the developed NTCP model to predict SRIL, the area under the receiver operating characteristic curve and Brier score values were 0.89 and 0.12, respectively.

    Conclusions: We developed the first NTCP model based on whole-blood DVHs for estimating SRIL after abdominal RT in patients with HCC. Our results showed a strong correlation between blood dose and ALC depletion, suggesting the potential to predict the risk of SRIL occurrence using blood dose.

     

    Lymann-Kutcher-Burman 모델 기반으로 개발된 림프구감소증 예측 Normal Tissue Complication Probability (NTCP) 모델입니다. 혈액에 가해지는 방사선량이 높아질수록 림프구감소증의 위험도가 그림과 같이 증가하는 양상을 보입니다.

     

     

    Affiliations

    Seohan Kim 1, Hwa Kyung Byun 2, Jungwook Shin 3, Ik Jae Lee 4, Wonmo Sung 5
    1Deparments of Biomedical Engineering and Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
    2Department of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea.
    3Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland.
    4Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea. Electronic address: ikjae412@yuhs.ac.
    5Deparments of Biomedical Engineering and Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea. Electronic address: wsung@catholic.ac.kr.

  • 연구소개
    본 연구에서는 방사선치료 간 발생하는 림프구감소증 예측을 위해 혈액선량 기반의 확률 모델을 개발했습니다.
  • 편집위원

    본 연구는 hepatocellular carcinoma (HCC) 환자를 대상으로 복부 방사선 치료 후 발생할 수 있는 severe radiation-induced lymphopenia (SRIL)의 위험을 예측하기 위해 blood dose를 기반으로 한 normal tissue complication probability (NTCP) 모델을 개발했다. 연구의 결과로, blood dose와 림푸구 감소 사이에 상관관계가 있었으며, 본 연구의 NTCP 모델은 SRIL의 발생을 효과적으로 예측할 수 있음을 확인했다. 본 연구는 NTCP 모델 개발을 바탕으로 SRIL 예측을 통해 HCC 환자의 방사선 치료 계획을 최적화함으로써 환자의 생존율 향상에 기여할 수 있다는 점에서 의의가 있다.

    덧글달기2024-08-28 14:15:49

  • 편집위원2

    방사선 치료에서 정상 세포의 손상에 대한 생물학적인 연구는 매우 활발하지만, 최근 다양한 방법을 이용하여, 방사선 치료시 정상 세포의 손상 위험도를 예측 하는 연구를 시도 한 부분이 매우 흥미로우며, 방사선 분야에서 인지도가 높은 학술지에 게재된 것임.

    덧글달기2024-08-28 14:16:10

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