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  • 2025년 10월호
    [Int J Radiat Oncol Biol Phys .] Development and Validation of a Prediction Model for Cardiac Events in Patients With Hepatocellular Carcinoma Undergoing Stereotactic Body Radiation Therapy정위체부방사선치료를 받는 간세포암 환자에서 심장 이벤트 예측 모델 개발 및 검증

    서울의대, 울산의대 / 이혜인, 강현철*, 윤상민*

  • 출처
    Int J Radiat Oncol Biol Phys .
  • 등재일
    2025 Aug 1
  • 저널이슈번호
    122(5):1272-1281.
  • 내용

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    Abstract
    Purpose: To develop and validate a prediction model for major adverse cardiac events (MACEs) in hepatocellular carcinoma patients treated with stereotactic body radiation therapy (SBRT).

    Methods and materials: We retrospectively identified 1893 hepatocellular carcinoma patients who received SBRT at 2 institutions, with one serving as the development cohort (n = 1473) and the other as the validation cohort (n = 420). A MACE was defined as any cardiac event classified as grade 3 or higher according to the Common Terminology Criteria for Adverse Events, version 5.0. We evaluated 15 clinical and 88 dosimetric parameters using bootstrapped forward selection and area under the curve (AUC) to identify significant predictors for MACEs. Based on these factors, we constructed the Cardiac Event Index (CEI) model, categorizing patients into distinct risk groups. Model performance was assessed for discrimination, efficiency, and calibration.

    Results: The MACE occurrence rate was 5.8% in the development cohort and 6.7% in the validation cohort. Five parameters were selected for predicting MACEs and were incorporated into the CEI model using the following equation: CEI = age score + hypertension + current smoking + (2 × history of cardiac disease) + (0.05 × heart-V5 [%]), which yielded an AUC of 0.770 for MACEs and 0.750 for coronary artery disease. The CEI model stratified patients into low-, intermediate-, and high-risk groups that had MACE incidence rates of 0.4%, 4.9%, and 22.8%, respectively. The impact of heart-V5 on MACEs was minimal in low- and intermediate-risk groups but pronounced in the high-risk group. In the validation cohort, the CEI model yielded an AUC of 0.809 for MACEs and 0.793 for coronary artery disease.

    Conclusions: The CEI model demonstrated robust performance in predicting MACEs, revealing the significant influence of clinical factors and the minimal impact of SBRT. This model can inform evidence-based decisions regarding cardiac dose optimization in SBRT planning.

     

     

    Affiliations

    Hye In Lee 1, Jaeman Son 2, Byungchul Cho 1, Youngmoon Goh 1, Jinhong Jung 1, Jin-Hong Park 1, Eui Kyu Chie 3, Kyung Su Kim 3, Young-Hak Kim 4, Hyun-Cheol Kang 5, Sang Min Yoon 6
    1Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
    2Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.
    3Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Republic of Korea.
    4Division of Cardiology, Heart Institute, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
    5Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address: shule@snu.ac.kr.
    6Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: drsmyoon@amc.seoul.kr.

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