Predicting the prognosis of hepatocellular carcinoma with the treatment of transcatheter arterial chemoembolization combined with microwave ablation using pretreatment MR imaging texture features

Jun Liu; Yigang Pei; Yu Zhang; Yifan Wu; Fuquan Liu; Shanzhi Gu

doi:10.1007/s00261-020-02891-y

Predicting the prognosis of hepatocellular carcinoma with the treatment of transcatheter arterial chemoembolization combined with microwave ablation using pretreatment MR imaging texture features

Abdom Radiol (NY). 2021 Aug;46(8):3748-3757. doi: 10.1007/s00261-020-02891-y. Epub 2021 Jan 1.

Authors

Jun Liu^#¹, Yigang Pei^#^{2

3}, Yu Zhang¹, Yifan Wu¹, Fuquan Liu⁴, Shanzhi Gu⁵

Affiliations

¹ Department of Interventional Therapy, Beijing Shijitan Hospital, Affiliated Hospital of Capital Medical University, Beijing, 100038, People's Republic of China.
² Department of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
³ Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
⁴ Department of Interventional Therapy, Beijing Shijitan Hospital, Affiliated Hospital of Capital Medical University, Beijing, 100038, People's Republic of China. moonhui.503@163.com.
⁵ Department of Interventional Therapy, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410006, Hunan, People's Republic of China. 171761993@qq.com.

^# Contributed equally.

Abstract

Objective: To investigate the prognostic value of baseline magnetic resonance imaging (MRI) texture analysis of hepatocellular carcinoma (HCC) treated with transcatheter arterial chemoembolization (TACE) and microwave ablation (MWA).

Methods: MRI was performed on 102 patients with HCC before receiving TACE combined with MWA in this retrospective study. The best 10 texture features were screened as a feature group for each MRI sequence by MaZda software using mutual information coefficient (MI), nonlinear discriminant analysis (NDA) and other methods. The optimal feature group with the lowest misdiagnosis rate was achieved on one MRI sequence between two groups dichotomized by 3-year survival, which was used to optimize the significant texture features with the optimal cutoff values. The Cox proportional hazards model was generated for the significant texture features and clinical variables to determine the independent predictors of overall survival (OS). The predictive performance of the model was further evaluated by the area under the ROC curve (AUC). Kaplan-Meier and log-rank tests were performed for disease-free survival (DFS) and Local recurrence-free survival (LRFS).

Results: The optimal feature group with the lowest misdiagnosis rate of 8.82% was obtained on T2WI using MI combined with NDA feature analysis. For Cox proportional hazards regression models, the independent prognostic factors associated with OS were albumin (P = 0.047), BCLC stage (P = 0.001), Correlat_{(1,- 1)T2} (P = 0.01) and SumEntrp_(3,0)T2 (P = 0.015), and the prediction efficiency of multivariate model is AUC = 0.876, 95%CI = 0.803-0.949. Kaplan-Meier analyses further demonstrated that BCLC (P < 0.001), Correlat_{(1,- 1)T2} (P = 0.023) and SumEntrp_(3,0)T2 (P < 0.001) were associated with DFS, and BCLC (P = 0.007) related to LRFS.

Conclusions: MR imaging texture features may be used to predict the prognosis of HCC treated with TACE combined with MWA.

Keywords: Hepatocellular carcinoma; Microwave ablation; Prognosis; Texture analysis; Transarterial chemoembolization.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Carcinoma, Hepatocellular* / diagnostic imaging
Carcinoma, Hepatocellular* / therapy
Chemoembolization, Therapeutic*
Humans
Liver Neoplasms* / diagnostic imaging
Liver Neoplasms* / therapy
Magnetic Resonance Imaging
Microwaves
Prognosis
Retrospective Studies
Treatment Outcome