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Kim N, Lee J, Shin H, Shin J, Nam DH, Lee JI, Seol HJ, Kong DS, Choi JW, Chong K, Lee WJ, Chang JH, Kang SG, Moon JH, Cho J, Lim DH, Yoon HI. Nomogram for radiation-induced lymphopenia in patients receiving intensity-modulated radiotherapy based-chemoradiation therapy for newly diagnosed glioblastoma: A multi-institutional study. Clin Transl Radiat Oncol 2024; 47:100799. [PMID: 38884005 PMCID: PMC11176633 DOI: 10.1016/j.ctro.2024.100799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/09/2024] [Accepted: 05/21/2024] [Indexed: 06/18/2024] Open
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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Affiliation(s)
- Nalee Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Joongyo Lee
- Department of Radiation Oncology, Gangnam Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyunju Shin
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Jungwook Shin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, United States
| | - Do-Hyun Nam
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Jung-Il Lee
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Ho Jun Seol
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Doo-Sik Kong
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Jung Won Choi
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Kyuha Chong
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Won Jae Lee
- Department of Neurosurgery, Brain Tumor Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ju Hyung Moon
- Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaeho Cho
- Department of Radiation Oncology, Heavy Ion Therapy Research Institute, Yonsei Cancer Center, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Do Hoon Lim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Republic of Korea
| | - Hong In Yoon
- Department of Radiation Oncology, Heavy Ion Therapy Research Institute, Yonsei Cancer Center, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea
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Liu R, Gong G, Meng K, Du S, Yin Y. Hippocampal sparing in whole-brain radiotherapy for brain metastases: controversy, technology and the future. Front Oncol 2024; 14:1342669. [PMID: 38327749 PMCID: PMC10847568 DOI: 10.3389/fonc.2024.1342669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/15/2024] [Indexed: 02/09/2024] Open
Abstract
Whole-brain radiotherapy (WBRT) plays an irreplaceable role in the treatment of brain metastases (BMs), but cognitive decline after WBRT seriously affects patients' quality of life. The development of cognitive dysfunction is closely related to hippocampal injury, but standardized criteria for predicting hippocampal injury and dose limits for hippocampal protection have not yet been developed. This review systematically reviews the clinical efficacy of hippocampal avoidance - WBRT (HA-WBRT), the controversy over dose limits, common methods and characteristics of hippocampal imaging and segmentation, differences in hippocampal protection by common radiotherapy (RT) techniques, and the application of artificial intelligence (AI) and radiomic techniques for hippocampal protection. In the future, the application of new techniques and methods can improve the consistency of hippocampal dose limit determination and the prediction of the occurrence of cognitive dysfunction in WBRT patients, avoiding the occurrence of cognitive dysfunction in patients and thus benefiting more patients with BMs.
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Affiliation(s)
- Rui Liu
- Department of Graduate, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - GuanZhong Gong
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - KangNing Meng
- Department of Graduate, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - ShanShan Du
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yong Yin
- Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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