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  • 2019년 01월호
    [Eur J Nucl Med Mol Imaging.] 치료후 PET으로 림프종 예후예측 A risk stratification model for nodal peripheral T-cell lymphomas based on the NCCN-IPI and posttreatment Deauville score.

    전남대 / 임호영, 양덕환*

  • 출처
    Eur J Nucl Med Mol Imaging.
  • 등재일
    2018 Dec
  • 저널이슈번호
    45(13):2274-2284. doi: 10.1007/s00259-018-4093-1. Epub 2018 Jul 28.
  • 내용

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    Erratum in
    Correction to: a risk stratification model for nodal peripheral T-cell lymphomas based on the NCCN-IPI and posttreatment Deauville score. [Eur J Nucl Med Mol Imaging. 2018]


    Abstract
    PURPOSE:
    The aim of this study was to establish a risk-stratification model integrating posttreatment metabolic response using the Deauville score and the pretreatment National Comprehensive Cancer Network-International Prognostic Index (NCCN-IPI) in nodal PTCLs.

    METHODS:
    We retrospectively analysed 326 patients with newly diagnosed nodal PTCLs between January 2005 and June 2016 and both baseline and posttreatment PET/CT data. The final model was validated using an independent prospective cohort of 79 patients.

    RESULTS:
    Posttreatment Deauville score (1/2, 3, and 4/5) and the NCCN-IPI (low, low-intermediate, high-intermediate, and high) were independently associated with progression-free survival: for the Deauville score, the hazard ratios (HRs) were 1.00 vs. 2.16 (95% CI 1.47-3.18) vs. 7.86 (5.66-10.92), P < 0.001; and for the NCCN-IPI, the HRs were 1.00 vs. 2.31 (95% CI 1.20-4.41) vs. 4.42 (2.36-8.26) vs. 7.09 (3.57-14.06), P < 0.001. Based on these results, we developed a simplified three-group risk model comprising a low-risk group (low or low-intermediate NCCN-IPI with a posttreatment Deauville score of 1 or 2, or low NCCN-IPI with a Deauville score of 3), a high-risk group (high or high-intermediate NCCN-IPI with a Deauville score of 1/2 or 3, or low-intermediate NCCN-IPI with a Deauville score of 3), and a treatment failure group (Deauville score 4 or 5). This model was significantly associated with progression-free survival (5-year, 70.3%, 31.4%, and 4.7%; P < 0.001) and overall survival (5-year, 82.1%, 45.5%, and 14.7%; P < 0.001). Similar associations were also observed in the independent validation cohort.

    CONCLUSION:
    The risk-stratification model integrating posttreatment Deauville score and pretreatment NCCN-IPI is a powerful tool for predicting treatment failure in patients with nodal PTCLs.

     


    Author information

    Yhim HY1,2, Park Y3, Han YH4, Kim S5, Kang SR6, Moon JH7, Jeong JH8, Shin HJ9, Kim K10, Choi YS11, Kim K12, Kim MK13, Kong E14, Kim DS15, Eo JS16, Lee JH17, Kang DY18, Lee WS19, Lee SM20, Do YR21, Ham JS22, Kim SJ22, Kim WS22, Choi JY23, Yang DH24, Kwak JY1,2.
    1
    Department of Internal Medicine, Chonbuk National University Medical School, Jeonju, South Korea.
    2
    Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju, South Korea.
    3
    Department of Internal Medicine, Korea University Anam Hospital College of Medicine, Seoul, South Korea.
    4
    Department of Nuclear Medicine, Chonbuk National University Hospital, Jeonju, South Korea.
    5
    Department of Nuclear Medicine, Korea University Anam Hospital, Seoul, South Korea.
    6
    Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Jeollanam-do, South Korea.
    7
    Department of Internal Medicine, Kyungpook National University Hospital, Daegu, South Korea.
    8
    Department of Nuclear Medicine, Kyungpook National University Hospital, Daegu, South Korea.
    9
    Department of Internal Medicine, Pusan National University Hospital, Busan, South Korea.
    10
    Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea.
    11
    Department of Internal Medicine, Chungnam National University Hospital, Daejeon, South Korea.
    12
    Department of Nuclear Medicine, Chungnam National University Hospital, Daejeon, South Korea.
    13
    Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
    14
    Department of Nuclear Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
    15
    Department of Internal Medicine, Korea University Guro Hospital College of Medicine, Seoul, South Korea.
    16
    Department of Nuclear Medicine, Korea University Guro Hospital College of Medicine, Seoul, South Korea.
    17
    Department of Internal Medicine, Dong-A University College of Medicine, Busan, South Korea.
    18
    Department of Nuclear Medicine, Dong-A University College of Medicine, Busan, South Korea.
    19
    Department of Internal Medicine, Inje University College of Medicine, Inje University Busan Paik Hospital, Busan, South Korea.
    20
    Department of Nuclear Medicine, Inje University College of Medicine, Inje University Busan Paik Hospital, Busan, South Korea.
    21
    Department of Internal Medicine, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, South Korea.
    22
    Department of Medicine, Sungkyunkwan University School of Medicine, Seoul, South Korea.
    23
    Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
    24
    Department of Internal Medicine, Chonnam National University Hwasun Hospital, 322 Seoyang-ro, Hwasun, Jeollanam-do, 519-763, Republic of Korea. drydh1685@hotmail.com.

     

  • 키워드
    International prognostic index; PET/CT; Peripheral T-cell lymphoma; Prognosis; Treatment
  • 편집위원

    Nodal peripheral T-cell lymphoma에서 Deauville score와 NCCN-IPI을 융합하여 예후예측 모델을 구성하면 치료 실패 예측에 유용함을 보여준 임상연구 결과로 종양학 의사 및 임상 핵의학자에게 유용한 정보를 제공할 것으로 생각됨.

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