{"title":"优化儿科TBI双组分修复模型的预测准确性:儿科特异性参数、毒性终点协调和剂量率保障","authors":"Ruijie Meng","doi":"10.1016/j.ctro.2025.101004","DOIUrl":null,"url":null,"abstract":"<div><div>In response to the innovative two-component repair model for pediatric TBI renal toxicity prediction, this letter proposes three key refinements to enhance clinical translation: adopting pediatric-specific radiobiological parameters (e.g., DNA-PKcs dynamics, α/β ratios) to address systematic overestimation of radiation tolerance; harmonizing toxicity endpoints to CTCAE v5.0 ≥Grade 3 criteria to strengthen doseresponse associations and enable precise risk stratification; and implementing institution-specific minimum dose-rate thresholds to mitigate unmodeled vascular susceptibility during low-dose-rate TBI. Collectively, these optimizations will improve predictive accuracy and support personalized radiotherapy for high-risk pediatric cohorts.</div></div>","PeriodicalId":10342,"journal":{"name":"Clinical and Translational Radiation Oncology","volume":"54 ","pages":"Article 101004"},"PeriodicalIF":2.7000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing predictive accuracy of the two-component repair model for pediatric TBI: Pediatric-specific parameters, toxicity endpoint harmonization, and dose-rate safeguards\",\"authors\":\"Ruijie Meng\",\"doi\":\"10.1016/j.ctro.2025.101004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In response to the innovative two-component repair model for pediatric TBI renal toxicity prediction, this letter proposes three key refinements to enhance clinical translation: adopting pediatric-specific radiobiological parameters (e.g., DNA-PKcs dynamics, α/β ratios) to address systematic overestimation of radiation tolerance; harmonizing toxicity endpoints to CTCAE v5.0 ≥Grade 3 criteria to strengthen doseresponse associations and enable precise risk stratification; and implementing institution-specific minimum dose-rate thresholds to mitigate unmodeled vascular susceptibility during low-dose-rate TBI. Collectively, these optimizations will improve predictive accuracy and support personalized radiotherapy for high-risk pediatric cohorts.</div></div>\",\"PeriodicalId\":10342,\"journal\":{\"name\":\"Clinical and Translational Radiation Oncology\",\"volume\":\"54 \",\"pages\":\"Article 101004\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Translational Radiation Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405630825000965\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Radiation Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405630825000965","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Optimizing predictive accuracy of the two-component repair model for pediatric TBI: Pediatric-specific parameters, toxicity endpoint harmonization, and dose-rate safeguards
In response to the innovative two-component repair model for pediatric TBI renal toxicity prediction, this letter proposes three key refinements to enhance clinical translation: adopting pediatric-specific radiobiological parameters (e.g., DNA-PKcs dynamics, α/β ratios) to address systematic overestimation of radiation tolerance; harmonizing toxicity endpoints to CTCAE v5.0 ≥Grade 3 criteria to strengthen doseresponse associations and enable precise risk stratification; and implementing institution-specific minimum dose-rate thresholds to mitigate unmodeled vascular susceptibility during low-dose-rate TBI. Collectively, these optimizations will improve predictive accuracy and support personalized radiotherapy for high-risk pediatric cohorts.