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放疗所致急性血液学毒性的综合分析及预测列线图

Acute hematologic toxicity of radiation therapy - a comprehensive analysis and predictive nomogram.

机构信息

Department of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.

Department of Radiation Oncology, South Miyagi Medical Center, 38-1 Nishi, Ogawara, Shibata, Miyagi 989-1253, Japan.

出版信息

J Radiat Res. 2023 Nov 21;64(6):954-961. doi: 10.1093/jrr/rrad069.

Abstract

To investigate radiation-induced cytopenia and establish predictive nomograms for hematological toxicity, we reviewed 3786 patients aged 18 or older who received radiation monotherapy between 2010 and 2021 for non-hematologic malignancies. We collected data on patient background, treatment content and hematologic toxicities for 12 weeks after the start of radiotherapy. The patients were randomly divided into training and test groups in 7:3 ratio. In the training group, we conducted ordered logistic regression analysis to identify predictive factors for neutropenia, lymphocytopenia, anemia and thrombocytopenia. Nomograms to predict Grade 2-4 cytopenia were generated and validated in the test group. Grade 3 or higher hematologic toxicities were observed in 9.7, 44.6, 8.3 and 3.1% of patients with neutropenia, lymphocytopenia, anemia and thrombocytopenia, respectively. We identified six factors for neutropenia grade, nine for lymphocytopenia grade and six for anemia grade with statistical significance. In the analysis of thrombocytopenia, the statistical model did not converge because of a small number of events. Nomograms were generated using factors with high predictive power. In evaluating the nomograms, we found high area under the receiver operating characteristic curve values (neutropenia; 0.75-0.85, lymphopenia; 0.89-0.91 and anemia; 0.85-0.86) in predicting Grade 2-4 cytopenia in the test group. We established predictive nomograms for neutropenia, leukocytopenia and anemia and demonstrated high reproducibility when validated in an independent cohort of patients.

摘要

为了研究放射性诱导的细胞减少症,并建立血液学毒性的预测列线图,我们回顾性分析了 2010 年至 2021 年间 3786 例年龄在 18 岁及以上的非血液系统恶性肿瘤患者,这些患者仅接受放射治疗。我们收集了患者背景、治疗内容以及放疗开始后 12 周内血液学毒性的数据。患者按照 7:3 的比例随机分为训练组和测试组。在训练组中,我们进行有序逻辑回归分析,以确定中性粒细胞减少症、淋巴细胞减少症、贫血和血小板减少症的预测因素。在测试组中生成并验证预测 2-4 级细胞减少症的列线图。中性粒细胞减少症、淋巴细胞减少症、贫血和血小板减少症患者的 3 级或更高级别血液学毒性发生率分别为 9.7%、44.6%、8.3%和 3.1%。我们确定了中性粒细胞减少症分级的 6 个因素、淋巴细胞减少症分级的 9 个因素和贫血分级的 6 个因素,这些因素具有统计学意义。在血小板减少症的分析中,由于事件数量较少,统计模型未收敛。使用预测能力高的因素生成列线图。在评估列线图时,我们发现测试组中预测 2-4 级细胞减少症的受试者工作特征曲线下面积值较高(中性粒细胞减少症;0.75-0.85、淋巴细胞减少症;0.89-0.91 和贫血;0.85-0.86)。我们建立了中性粒细胞减少症、白细胞减少症和贫血的预测列线图,并在独立患者队列中验证了其具有高重现性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2830/10665302/88d63249414c/rrad069f1.jpg

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