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Early assessment of treatment response during radiotherapy for esophageal cancer based on CT radiomics analysis / 中华放射肿瘤学杂志
Chinese Journal of Radiation Oncology ; (6): 731-734, 2019.
Article in Chinese | WPRIM | ID: wpr-796671
ABSTRACT
Objective@#To investigate the feasibility of assessing the treatment response using diagnostic-quality CT imaging features during radiotherapy for esophageal cancer.@*Methods@#Thirty-three patients with stage Ⅰ to IV esophageal cancer undergoing intensity-modulated radiotherapy were recruited in this study. CT images were acquired using a CT-on-rail imaging system. Imaging data of CT images including gross tumor volume (GTV), the volume of spinal cord and non-irradiated tissue (NIT), CT mean (MCTN), standard deviation , and skewness were collected and analyzed by using MIM image processing system. Patients were divided into the effective group (complete remission and partial remission, n=24) and ineffective group (no change and progression, n=9) based on the outcomes of 3-month follow-up. The imaging data were statistically compared between two groups using the self-designed Matlab software.@*Results@#The tumor volume and MCTN of 33 patients were gradually decreased with the increase of radiotherapy dose. The tumor volume and MCTN were decreased by 42.46% and 5.76 HU in the effective group, more significant compared with 21.76% and 3.66 HU in the ineffective group (both P<0.005). The skewness in the ineffective group was decreased by 0.503 with the increasing radiation dose, whereas that in the effective group was increased by -0.450(P=0.034). Spinal cord and NIT did not significantly change with the increasing radiation dose.@*Conclusion@#Analysis of the characteristic data of CT images of patients with esophageal cancer during radiotherapy may early predict the clinical efficacy of radiotherapy.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Radiation Oncology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Radiation Oncology Year: 2019 Type: Article