Zheng Sisi,Xia Tong,Cai Shang,et al.Advances in the prediction and prevention of radiation-induced lymphopenia[J].Chinese Journal of Radiological Medicine and Protection,2026,46(4):427-431
Advances in the prediction and prevention of radiation-induced lymphopenia
Received:July 09, 2025  
DOI:10.3760/cma.j.cn112271-20250709-00239
KeyWords:Radiotherapy|Lymphopenia|Prediction model|Prevention strategy
FundProject:江苏省青年科技人才托举工程(JSTJ-2024-113);江苏省333高层次人才培养工程(2024,3-2481);苏州大学苏州医学院临床高峰项目(ML12300723);放射医学与辐射防护国家重点实验室资助项目(GZK1202405);苏州市姑苏卫生人才计划(GSWS2021025);苏州大学附属第二医院人才托举项目(XKTJ-RC202407)
Author NameAffiliationE-mail
Zheng Sisi Treatment Center of PRaG, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China  
Xia Tong Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China  
Cai Shang Treatment Center of PRaG, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
State Key Laboratory of Radiation Medicine and Protection (Soochow University), Suzhou 215123, China 
cbibbys@163.com 
Shan Qiujie Department of Radiation Oncology, The Fifth People's Hospital of Huai'an, Huai'an 223300, China  
Tian Ye Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
State Key Laboratory of Radiation Medicine and Protection (Soochow University), Suzhou 215123, China 
 
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Abstract::
      Radiation-induced lymphopenia (RIL) represents a common complication in radiotherapy for solid tumors. Severe RIL adversely affects the treatment efficacy of tumors and portends poor survival outcomes. The timing of lymphocyte tests directly influences the accuracy of risk assessment and prognostic evaluation for RIL. The precise prediction of RIL risk is expected to be achieved using predictive models, including circulating blood-related dosimetric models and artificial intelligence (AI) models. The RIL risks can be effectively reduced by employing strategies such as limiting the radiation dose-volume to lymphocyte-related organs at risk (LOARs), using advanced radiotherapy equipment for proton and carbon ion therapy, and applying ultra-high dose rate radiotherapy (UHDR-RT). These strategies serve as effective means to improve the prognosis of patients with malignant tumors.
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