Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy

Author:

Ho Lok-Man12,Lam Sai-Kit34,Zhang Jiang5ORCID,Chiang Chi-Leung6ORCID,Chan Albert Chi-Yan7,Cai Jing35ORCID

Affiliation:

1. Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong

2. Radiotherapy and Oncology Centre, Gleneagles Hospital Hong Kong, Hong Kong

3. Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong

4. Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong

5. Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong

6. Department of Clinical Oncology, School of Clinical Medicine, The University of Hong Kong, Hong Kong

7. Department of Surgery, School of Clinical Medicine, The University of Hong Kong, Hong Kong

Abstract

This study aims to investigate the association of pre-treatment multi-phasic MR-based radiomics and dosimetric features with treatment response to a novel sequential trans-arterial chemoembolization (TACE) plus stereotactic body radiotherapy (SBRT) plus immunotherapy regimen in unresectable Hepatocellular Carcinoma (HCC) sub-population. Twenty-six patients with unresectable HCC were retrospectively analyzed. Radiomic features were extracted from 42 lesions on arterial phase (AP) and portal-venous phase (PVP) MR images. Delta-phase (DeltaP) radiomic features were calculated as AP-to-PVP ratio. Dosimetric data of the tumor was extracted from dose-volume-histograms. A two-sided independent Mann–Whitney U test was used to assess the clinical association of each feature, and the classification performance of each significant independent feature was assessed using logistic regression. For the 3-month timepoint, four DeltaP-derived radiomics that characterize the temporal change in intratumoral randomness and uniformity were the only contributors to the treatment response association (p-value = 0.038–0.063, AUC = 0.690–0.766). For the 6-month timepoint, DeltaP-derived radiomic features (n = 4) maintained strong clinical associations with the treatment response (p-value = 0.047–0.070, AUC = 0.699–0.788), additional AP-derived radiomic features (n = 4) that reflect baseline tumoral arterial-enhanced signal pattern and tumor morphology (n = 1) that denotes initial tumor burden were shown to have strong associations with treatment response (p-value = 0.028–0.074, AUC = 0.719–0.773). This pilot study successfully demonstrated associations of pre-treatment multi-phasic MR-based radiomics with tumor response to the novel treatment regimen.

Funder

Shenzhen-Hong Kong-Macau S and T Program

Shenzhen Basic Research Program

Project of RISA fund

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference82 articles.

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