Yan Gao1,2,3, Yitao Mao4, Shanhong Lu1,2,3, Lei Tan5, Guo Li1,2,3, Juan Chen1,2,3, Donghai Huang1,2,3, Xin Zhang1,2,3, Yuanzheng Qiu1,2,3,6, Yong Liu1,2,3,6. 1. Department of Otolaryngology - Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, China. 2. Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, China. 3. Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, China. 4. Department of Radiology, Xiangya Hospital, Central South University, Changsha, China. 5. College of Computer and Information Engineering, Hunan University of Technology and Business, Changsha, China. 6. National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
Abstract
BACKGROUND: To establish a radiomics nomogram for survival prediction and determine if genomic data were related to radiomics signature in advanced nasopharyngeal carcinoma (NPC). METHODS: Radiomics features were extracted from contrast-enhanced T1-weighted images (CE-T1WI) in 316 patients. A progression-free survival (PFS) nomogram was developed and validated by the combination of the radiomics signature and clinicopathologic factors. Whole transcriptomics sequencing was performed in pretreatment tumor samples; correlation of gene expression and radiomics signature was further investigated. RESULTS: A 24-feature-combined radiomics signature was highly correlated with PFS; its integration with clinical predictors showed good prediction performance in the training and the validation cohort (C-index: 0.80 and 0.73). A significant correlation was observed between certain gene expression and Rad-score, especially the mRNA expression of CDKL2, PLIN5, and SPAG1. CONCLUSION: As a noninvasive method, the MRI-based radiomics signature might enable the pretreatment prediction of prognosis and gene expressions profile in advanced NPC.
BACKGROUND: To establish a radiomics nomogram for survival prediction and determine if genomic data were related to radiomics signature in advanced nasopharyngeal carcinoma (NPC). METHODS: Radiomics features were extracted from contrast-enhanced T1-weighted images (CE-T1WI) in 316 patients. A progression-free survival (PFS) nomogram was developed and validated by the combination of the radiomics signature and clinicopathologic factors. Whole transcriptomics sequencing was performed in pretreatment tumor samples; correlation of gene expression and radiomics signature was further investigated. RESULTS: A 24-feature-combined radiomics signature was highly correlated with PFS; its integration with clinical predictors showed good prediction performance in the training and the validation cohort (C-index: 0.80 and 0.73). A significant correlation was observed between certain gene expression and Rad-score, especially the mRNA expression of CDKL2, PLIN5, and SPAG1. CONCLUSION: As a noninvasive method, the MRI-based radiomics signature might enable the pretreatment prediction of prognosis and gene expressions profile in advanced NPC.