방사선종양학

본문글자크기
  • [Gynecol Oncol.] Tumour size, volume, and marker expression during radiation therapy can predict survival of cervical cancer patients: a multi-institutional retrospective analysis of KROG 16-01.

    가천의대 / 이종훈, 이시원, 이석호*

  • 출처
    Gynecol Oncol.
  • 등재일
    2017 Dec
  • 저널이슈번호
    147(3):577-584.
  • 내용

    바로가기  >

    Abstract

    OBJECTIVE:
    The aim of this multi-institutional study was to determine the prognostic impact of tumour parameters, such as tumour size (TS), tumour volume (TV), and marker expression, on survival during radiation therapy (RT) for cervical cancer patients.

    METHODS:
    A total of 231 patients with histologically confirmed cervical cancer, classified as Federation of Gynecology and Obstetrics (FIGO) Ib2-IVa, were enrolled in this study. Pre- and mid-RT pelvic magnetic resonance imaging (MRI) and squamous cell carcinoma antigen (SCC-ag) analysis were performed twice, during RT and just before brachytherapy.

    RESULTS:
    The median follow-up time was 27.8months (range, 2-116months). Multivariate analysis revealed that stage (odds ratio [OR], 2.936 and 95% confidence interval [CI], 1.119-7.707; P=0.029), tumour volume reduction rate (TVRR) (OR, 3.435 and 95% CI, 1.062-11.106; P=0.039), and SCC-ag reduction rate (SCCRR) (OR, 5.104 and 95% CI, 1.769-14.727; P=0.003) were independently associated with overall survival (OS), while pre-RT TS (OR, 2.148 and 95% CI, 1.221-3.810; P=0.009), mid-RT TV (OR, 3.106 and 95% CI, 1.685-5.724; P<0.0001) and SCCRR (OR, 1.954 and 95% CI, 1.133-3.369; P=0.016) were associated with progression-free survival (PFS). Based on the prognostic factor analysis, patients with the highest prognostic risk score of 3 showed poorer overall survival and progression free survival than patientswith lower prognostic risk scores.

    CONCLUSION:
    We identified that tumour parameters such as TVRR, SCCRR, pre-RT TS, and mid-RT TV areindependent and strong prognostic parameters for patients with cervical cancer receiving RT. This scoring system-based prognostic factor analysis could be used to help develop optimized treatment plans for cervical cancer patients during RT.

     


    Author information

    Lee JH1, Lee SW2, Kim JR3, Kim YS4, Yoon MS5, Jeong S6, Kim JH7, Lee JY8, Eom KY9, Jeong BK10, Lee SH11.

    1
    Department of Radiation Oncology, St. Vincent's Hospital, College of Medicine, the Catholic University of Korea, Suwon, Republic of Korea.
    2
    Department of Radiation Oncology, St. Vincent's Hospital, College of Medicine, the Catholic University of Korea, Suwon, Republic of Korea; Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea.
    3
    Department of Radiation Oncology, Cheil General Hospital, Women's Healthcare Center, Dankook University College of Medicine, Seoul, Republic of Korea.
    4
    Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea.
    5
    Department of Radiation Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, South Korea.
    6
    Department of Radiation Oncology, Ewha Woman's University School of Medicine, Seoul, Republic of Korea.
    7
    Department of Radiation Oncology, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Republic of Korea.
    8
    Department of Radiation Oncology, Yangsan Pusan National University Hospital, Yangsan, Republic of Korea.
    9
    Department of Radiation Oncology, Seoul National University Bundang Hospital, College of Medicine, Bundang, Republic of Korea.
    10
    Department of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea.
    11
    Department of Radiation Oncology, Gachon University of Medical and Science, Incheon, Republic of Korea. Electronic address: souko@gilhospital.com.

  • 키워드
    Cervical cancer; Radiation therapy; Tumour parameters
  • 덧글달기
    덧글달기
       IP : 3.21.93.44

    등록