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Nomogram for radiation-induced lymphopenia in patients receiving intensity-modulated radiotherapy based-chemoradiation therapy for newly diagnosed glioblastoma: A multi-institutional study.
Kim, Nalee; Lee, Joongyo; Shin, Hyunju; Shin, Jungwook; Nam, Do-Hyun; Lee, Jung-Il; Seol, Ho Jun; Kong, Doo-Sik; Choi, Jung Won; Chong, Kyuha; Lee, Won Jae; Chang, Jong Hee; Kang, Seok-Gu; Moon, Ju Hyung; Cho, Jaeho; Lim, Do Hoon; Yoon, Hong In.
Afiliación
  • Kim N; Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Lee J; Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Shin H; Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Shin J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, United States.
  • Nam DH; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Lee JI; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Seol HJ; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Kong DS; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Choi JW; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Chong K; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Lee WJ; Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea.
  • Chang JH; Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Kang SG; Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Moon JH; Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Cho J; Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Lim DH; Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Yoon HI; Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
Clin Transl Radiat Oncol ; 47: 100799, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38884005
ABSTRACT

Purpose:

Severe lymphopenia (SLP) has emerged as a significant prognostic factor in glioblastoma. Intensity-modulated radiation therapy (IMRT)-based radiation therapy (RT) is suggested to minimize the risk of SLP. This study aimed to evaluate SLP incidence based on multi-institutional database in patients with GBM treated with IMRT and develop a predictive nomogram. Patients and

methods:

This retrospective study reviewed data from 348 patients treated with IMRT-based concurrent chemoradiation therapy (CCRT) at two major hospitals from 2016 to 2021. After multivariate regression analysis, a nomogram was developed and internally validated to predict SLP risk.

Results:

During treatment course, 21.0% of patients developed SLP and SLP was associated with poor overall survival outcomes in patients with GBM. A newly developed nomogram, incorporating gender, pre-CCRT absolute lymphocyte count, and brain mean dose, demonstrated fair predictive accuracy (AUC 0.723).

Conclusions:

This study provides the first nomogram for predicting SLP in patients with GBM treated with IMRT-based CCRT, with acceptable predictive accuracy. The findings underscore the need for dose optimization and radiation planning to minimize SLP risk. Further external validation is crucial for adopting this nomogram in clinical practice.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Clin Transl Radiat Oncol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Clin Transl Radiat Oncol Año: 2024 Tipo del documento: Article