Study of texture analysis based on CT images to predict radiochemotherapy sensitivity in patients with esophageal squamous cell carcinoma

doi:10.3760/cma.j.issn.1673-422X.2019.03.003

Abstract

Abstract: ObjectiveTo investigate the relationship between texture features based on CT and radiochemotherapy sensitivity in patients with esophageal squamous cell carcinoma (ESCC). MethodsA total of 92 ESCC patients treated at Shandong Cancer Hospital Affiliated to Shandong University between January 2014 and December 2017 were retrospectively collected. All patients were divided into responders (complete response + partial response) and nonresponders (stable disease + progression disease) according to therapeutic sensitivity. The texture features were extracted from CT images for positioning. And the patients were divided into training set (46 patients) and test set (46 patients) using traintestsplit, training set for establishing predictive model and test set for model validation. ResultsThere were 31 responders and 15 nonresponders in the training set, and the portion of responders was 67.4%. Univariate analyses showed that the histogram matrix (HISTO)sknewess was significantly different between the two groups (Z=2.097, P=0.036) and the area under the curve (AUC) was 0.692 with 95%CI of 0.5390.820. Sknewess ≤-2.58 intended to be responders. Binary logistic regression of sknewess (Z=2.097, P=0.036) in HISTO, high gray level zone emphasis (HGZE) (Z=1.722, P=0.085) and small zone high gray level emphasis (SZHGE) (Z=1.640, P=0.101) in gray level zonelength matrix (GLZLM) showed that sknewess was the independent influence factor of sensitivity (OR=0.558, 95%CI: 0.3380.923, P=0.023), and the AUC of logistic regression model was 0.718 with 95%CI of 0.5500.886, which indicted that the model had the ability to predict treatment response of ESCC patients. The model was validated by using test set and the AUC was 0.706, and the sensitivity of the model was 70.6% while the specificity was 69.0%. It showed that the model had certain ability in predicting treatment response. ConclusionCT texture analysis can predict the radiochemotherapy sensitivity in patients with ESCC to some extent.

Key words: Esophageal neoplasms, Radiotherapy, Chemotherapy, adjuvant, Treatment effect, Texture analysis

Yi Minghui, Li Zhenjiang, Cao Qiang, Li Baosheng. Study of texture analysis based on CT images to predict radiochemotherapy sensitivity in patients with esophageal squamous cell carcinoma[J]. Journal of International Oncology, 2019, 46(3): 141-146.

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