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The quantitative study of brain white matter variation after radiotherapy by MR imaging radiomics |
WANG Lizhen1,2, YIN Yong2, SU Ya2, GONG Guanzhong2, ZHU Jianguo1 |
1. School of Preventive Medical Sciences (Institute of Radiation Medicine), Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250062 China; 2. Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences |
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Abstract Objective To study the MR radiomics features variation of brain white matter before and after radiotherapy for brain tumors, and analyze the relationship between radiomics features and radiation dose, to provide a reference method for early prediction and monitoring of radiation-induced brain white matter injury.Methods A total of 70 patients with brain tumors who received radiotherapy in Shandong Cancer Hospital and Institute from September 2018 to July 2020 were selected in this study. CT and MR simulation images (T1-enhanced, T1-enhanced and T1-enhanced to T1-enhanced silhouette images) were obtained respectively, and MR images were obtained again after 23~50 Gy radiotherapy. According to the actual dose of the patient, the white matter in different dose gradients of 0~5 Gy, 5~10 Gy, 10~15 Gy, 15~20 Gy, 20~30 Gy, 30~40 Gy and > 40 Gy was defined as region of interest (ROI). The influence radiomics features of different ROI in T1 plain scan, T1 enhanced and T1 silhouette images were extracted, and the differences of each ROI MR image radiomics l features before and after radiotherapy were compared, and the relationship between radiomics features variation and radiation dose changes was analyzed.Results 93 radiomics features were extracted from each set of images for each ROI. For T1 plain scan, T1 enhanced and T1 silhouette images, the number of features with statistically significant differences between before and after radiotherapy: 0~5 Gy: 52, 52, 7, 5~10 Gy: 1, 1, 9, 10~15 Gy: 0, 16, 28, 15~20 Gy: 15, 8, 2, 20~30 Gy: 1, 77, 25, 30~40 Gy: 38, 64, 29, > 40 Gy: 32, 47, For the characteristics with variation rate more than ±50% before and after radiotherapy, in the dose gradients of 0~5 Gy, 5~10 Gy, 10~15 Gy, 15~20 Gy, 20~30 Gy, 30~40 Gy and > 40 Gy, the maximum change rates of imaging characteristics of different MR sequences were as follows: T1 plain scan 164.06%, 1.39%, N/A,35.76%, 7.4%, 156.45%, 657.25%, respectively. T1 enhanced 126.88%, 2.7%, 198.7%, 192.92%, 128%, 149.19%, 531.96% T1 silhouette −605.04%,−656.93%, 739.06%, −325.36%, 1919.53%, 4967.44%, 6081.3%,and for T1 silhouette the radiomics features variation was significantly higher than T1 plain scan and T1 enhancement.Conclusion The MR radiomics features of the brain white matter changed significantly under different dose gradients before and after radiotherapy, which could reveal the microscopic changes of white matter than conventional gross images method, and could provide a feasible objective method for early prediction and detection of radiation damage of brain white matter.
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Received: 01 July 2020
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[1] 曹锦, 杨怡萍, 王冠. 脑转移瘤的放射治疗进展[J]. 现代肿瘤医学,2020,28(11):1985-1989 [2] 孟曼, 毕金玲, 黄勇. 脑转移瘤全脑放疗疗效与预后相关因素分析[J]. 中国辐射卫生,2019,28(4):458-461 [3] 马龙, 陈绍水. 放射性脑损伤发病机制及防治的研究与进展[J]. 中国医药科学,2020,10(2):37-40 [4] Zhang B, Lian Z Y, Zhong L M, et al. Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma[J]. BMC Cancer, 2020, 20(1): 502 [5] Qiu Q T, Duan J H, Yin Y. Radiomics in radiotherapy: Applications and future challenges[J]. Prec Radiat Oncol, 2020, 4(1): 29-33 [6] 中国放射性脑损伤多学科协作组, 中国医师协会神经内科分会脑与脊髓损害专业委员会. 放射性脑损伤诊治中国专家共识[J]. 中华神经医学杂志,2019,18(6):541-549 [7] Martino A, Krainik A, Pasteris C, et al. Neurological imaging of brain damages after radiotherapy and/or chimiotherapy[J]. J De Neuroradiol, 2014, 41(1): 52-70 [8] Rahman R, Alexander B M, Wen P Y. Neurologic complications of cranial radiation therapy and strategies to prevent or reduce radiation toxicity[J]. Curr Neurol Neurosci Rep, 2020, 20(8): 34 [9] Rabinov J D, Brisman J L, Cole A J, et al. MRI changes in the rat Hippocampus following proton radiosurgery[J]. Stereotact Funct Neurosurg, 2004, 82(4): 156-164 [10] Kennedy A S, Archambeau J O, Archambeau M H, et al. Magnetic resonance imaging as a monitor of changes in the irradiated rat brain. An aid in determining the time course of events in a histologic study[J]. Invest Radiol, 1995, 30(4): 214-220 [11] Sourati A, Ameri A, Malekzadeh M. Acute side effects of radiation therapy[M]. Cham: Springer International Publishing, 2017. [12] 张玮, 王利利, 周菊英, 等. 硫酸镁对放射性脑损伤大鼠C-fos基因表达及学习记忆功能的影响[J]. 中国辐射卫生,2009,18(3):257-259 [13] Sanghvi D. Post-treatment imaging of high-grade gliomas[J]. Indian J Radiol Imaging, 2015, 25(2): 102-108 [14] 宋琼, 夏黎明, 王承缘, 等. 鼻咽癌放射治疗后放射性脑损伤急性反应早期的1H-MR波谱研究[J]. 中华放射学杂志,2006,40(6):590-593 [15] 王敏, 宋彬, 黄子星, 等. 大数据时代的精准影像医学: 放射组学[J]. 中国普外基础与临床杂志,2016,23(6):752-755
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