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一种评估胸部放疗中不同分割方式下生物等效平均器官剂量(MOD)的统计方法。

A Statistical Approach to Assess Biological Equivalent Mean Organ Dose (MOD) for Different Fractionations in Thoracic Radiotherapy.

作者信息

Zhong Siyao, Wang Guangshan, Qin Xiaohang, Li Yinghui, Sun Bin, Kong Feng-Ming Spring, Gao Yuyan, Jin Jian-Yue

机构信息

Department of Radiotherapy, Beijing Luhe Hospital, Capital Medical University, Beijing 101100, China.

Department of Radiotherapy, Beijing Chest Hospital, Capital Medical University, Beijing 101100, China.

出版信息

Biomedicines. 2025 May 2;13(5):1110. doi: 10.3390/biomedicines13051110.

Abstract

With advances in radiotherapy technology, there are more technological options and fractionation regiments for different stages of lung cancer. Evaluation of the possibility of severe organ toxicity for the organ-at-risks (OARs) is often required when treating patients with unusual fractionations or combining two treatment plans with different fractionations. This study aims to provide an approach that can reasonably estimate the possibility of toxicity using a biological equivalent mean organ dose (MOD)-based model from the 2 Gy per fraction era for various fractionations. The dose volume histograms (DVHs) of 272 patients treated with radiotherapy for lung cancer at a prescribed dose of 2 Gy × 30 f were used for analysis. For each patient, we calculated the biological equivalent MOD based on a dose conversion of EQD2 (equivalent to a dose of 2 Gy/fraction to the organ), the MOD based on the physical dose, and the d-value that makes the biological equivalent MOD based on a dose conversion of EQDd equal to the physical MOD. Statistical analysis was then performed to determine the relationship of the d-value to the corresponding physical MOD in percentage dose (relative MOD). Equivalent MODs based on EQD2 were smaller than the physical MOD for each patient, suggesting that using EQD2 conversion would underestimate the equivalent MOD. The distribution of d-values with physical relative mean lung dose (RMLD) showed a normal peak with an average of d = 1.3 Gy, suggesting that the equivalent MLD can be estimated using EQD1.3 for various fractionations. Regression analysis showed that the d-value could be estimated as d = 0.93+3.0×RMLD, d = 0.044+5.8×RMED, and d = 4.7×RMHD for the lung, esophagus, and heart, respectively, suggesting that the equivalent MLD, MED, and MHD can be estimated using EQDd. Using EQD2 conversion underestimates the equivalent MOD, and the equivalent MOD converted by EQDd with an appropriate d-value may enhance the assessment of organ toxicity.

摘要

随着放射治疗技术的进步,对于不同阶段的肺癌有了更多的技术选择和分割方案。在采用非常规分割或联合两种不同分割的治疗方案治疗患者时,通常需要评估危及器官(OARs)发生严重器官毒性的可能性。本研究旨在提供一种方法,该方法可以使用基于生物等效平均器官剂量(MOD)的模型,从每次分割2 Gy时代的数据,合理估计各种分割情况下的毒性可能性。对272例接受规定剂量为2 Gy×30次分割放疗的肺癌患者的剂量体积直方图(DVH)进行分析。对于每位患者,我们基于EQD2(相当于器官每次分割2 Gy的剂量)的剂量转换计算生物等效MOD、基于物理剂量的MOD以及使基于EQDd剂量转换的生物等效MOD等于物理MOD的d值。然后进行统计分析,以确定d值与相应物理MOD在百分比剂量(相对MOD)方面的关系。基于EQD2的等效MOD对每位患者而言均小于物理MOD,这表明使用EQD2转换会低估等效MOD。d值与物理相对平均肺剂量(RMLD)的分布呈现出一个正常峰值,平均d = 1.3 Gy,这表明对于各种分割情况,可使用EQD1.3估计等效平均肺剂量(MLD)。回归分析表明,对于肺、食管和心脏,d值分别可估计为d = 0.93 + 3.0×RMLD、d = 0.044 + 5.8×RMED和d = 4.7×RMHD,这表明可使用EQDd估计等效MLD、平均食管剂量(MED)和平均心脏剂量(MHD)。使用EQD2转换会低估等效MOD,而使用具有适当d值的EQDd转换的等效MOD可能会增强对器官毒性的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be6e/12109231/c8327b3d0d43/biomedicines-13-01110-g001.jpg

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