Response to Induction Therapy in Pediatric Hodgkin’s Lymphoma: Performance of First-Order Texture Parameters of CT Images

Abstract

Objectives: The aim of this study was to examine whether texture analysis features on pretreatment contrast-enhanced CT images could predict adequate response (AR) or inadequate response (IR) after two cycles of chemotherapy in pediatric Hodgkin’s lymphoma (PHL). Materials and methods: This retrospective single-center study included 32 children and adolescents with HL. Texture analysis was independently performed by two radiologists using pretreatment CT scans. The mean gray level, standard deviation, entropy, kurtosis, and skewness were derived from pixel distribution histograms before and after spatial filtration ranging from two (fine texture) to six (coarse texture). Interobserver reliability was studied using interobserver correlation coefficients (ICCs) to select texture parameters. Relationships between early response assessment (ERA) to induction therapy and associated factors were studied using Student’s 't'-tests and a lasso penalized logistic regression analysis. Results: Of the 32 patients, IR was observed in 13 and AR in 19. Inter-reader agreement was good to excellent (ICC > 0.75) for all parameters except skewness and kurtosis without filtration and at spatial scale filtration (SSF) = 2. These parameters were excluded from the analysis. The 't'-test identified only entropy at SSF = 2 ('p' value = 0.039) as a potential predictor of ERA. No parameters were significantly associated with ERA, according to a lasso penalized logistic regression. Conclusion: No textural parameters were identified as predictors of ERA after two cycles of chemotherapy in PHL.

Keywords

• hodgkin lymphoma
• pediatric
• computed tomography
• computer-assisted image analysis
• therapeutics