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Potential Defects and Improvements of Equivalent Uniform Dose Prediction Model Based on the Analysis of Radiation-Induced Brain Injury

PURPOSE: To study the impact of dose distribution on volume-effect parameter and predictive ability of equivalent uniform dose (EUD) model, and to explore the improvements. METHODS AND MATERIALS: The brains of 103 nasopharyngeal carcinoma patients treated with IMRT were segmented according to dose d...

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Detalles Bibliográficos
Autores principales: Du, Qing-Hua, Li, Jian, Gan, Yi-Xiu, Zhu, Hui-Jun, Yue, Hai-Ying, Li, Xiang-De, Ou, Xue, Zhong, Qiu-Lu, Luo, Dan-Jing, Xie, Yi-Ting, Liang, Qian-Fu, Wang, Ren-Sheng, Liu, Wen-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786722/
https://www.ncbi.nlm.nih.gov/pubmed/35087743
http://dx.doi.org/10.3389/fonc.2021.743941
Descripción
Sumario:PURPOSE: To study the impact of dose distribution on volume-effect parameter and predictive ability of equivalent uniform dose (EUD) model, and to explore the improvements. METHODS AND MATERIALS: The brains of 103 nasopharyngeal carcinoma patients treated with IMRT were segmented according to dose distribution (brain and left/right half-brain for similar distributions but different sizes; V (D) with different D for different distributions). Predictive ability of EUD(V) (D) (EUD of V (D) ) for radiation-induced brain injury was assessed by receiver operating characteristics curve (ROC) and area under the curve (AUC). The optimal volume-effect parameter a of EUD was selected when AUC was maximal (mAUC). Correlations between mAUC, a and D were analyzed by Pearson correlation analysis. Both mAUC and a in brain and half-brain were compared by using paired samples t-tests. The optimal D (V) and V (D) points were selected for a simple comparison. RESULTS: The mAUC of brain/half-brain EUD was 0.819/0.821 and the optimal a value was 21.5/22. When D increased, mAUC of EUD(V) (D) increased, while a decreased. The mAUC reached the maximum value when D was 50–55 Gy, and a was always 1 when D ≥55 Gy. The difference of mAUC/a between brain and half-brain was not significant. If a was in range of 1 to 22, AUC of brain/half-brain EUD(V55 Gy) (0.857–0.830/0.845–0.830) was always larger than that of brain/half-brain EUD (0.681–0.819/0.691–0.821). The AUCs of optimal dose/volume points were 0.801 (brain D(2.5 cc)), 0.823 (brain V(70 Gy)), 0.818 (half-brain D(1 cc)), and 0.827 (half-brain V(69 Gy)), respectively. Mean dose (equal to EUD(V) (D) with a = 1) of high-dose volume (V(50 Gy)–V(60 Gy)) was superior to traditional EUD and dose/volume points. CONCLUSION: Volume-effect parameter of EUD is variable and related to dose distribution. EUD with large low-dose volume may not be better than simple dose/volume points. Critical-dose-volume EUD could improve the predictive ability and has an invariant volume-effect parameter. Mean dose may be the case in which critical-dose-volume EUD has the best predictive ability.