Predictors of Ablation Therapy Response in Moderately Differentiated HCC using Radiomics Features from Multi-phasic DCE-MRI

Motivation: Recurrence following thermal ablation for HCC underscores the need for quantitative imaging tools to optimize treatment and accurately assess response. Goal(s): This study aims to identify and evaluate radiomics features from multiphase MRI that can distinguish between responders and non-responders to thermal ablation therapy in moderately differentiated HCC. Approach: Retrospective analysis was conducted on 24 responders and 20 non-responders, with radiomics features extracted from multiphase MRI. Mann-Whitney U tests were used for statistical analysis to identify significant features. Results: Significant differences in radiomics features were identified in the hepatobiliary and pre-contrast phases. No significant differences were observed in the arterial or portal phases. Impact: This study identifies radiomics shape and texture-based features from multiphase MRI that differentiate responders from non-responders to thermal ablation in moderately differentiated HCC. These features offer insights into quantitative biomarkers, emphasizing the role of imaging in optimizing therapy.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4300
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictors of Ablation Therapy Response in Moderately Differentiated HCC using Radiomics Features from Multi-phasic DCE-MRI

Abhinav Suri, David Lu, Jason Chiang, Kyunghyun Sung et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Predictors of Ablation Therapy Response in Moderately Differentiated HCC using Radiomics Features from Multi-phasic DCE-MRI

Abhinav Suri, David Lu, Jason Chiang, Kyunghyun Sung, Xinyi Li, Qi Miao, Pedram Keshavarz, Zahra Mohammadigolda
article en

Abstract

Motivation: Recurrence following thermal ablation for HCC underscores the need for quantitative imaging tools to optimize treatment and accurately assess response. Goal(s): This study aims to identify and evaluate radiomics features from multiphase MRI that can distinguish between responders and non-responders to thermal ablation therapy in moderately differentiated HCC. Approach: Retrospective analysis was conducted on 24 responders and 20 non-responders, with radiomics features extracted from multiphase MRI. Mann-Whitney U tests were used for statistical analysis to identify significant features. Results: Significant differences in radiomics features were identified in the hepatobiliary and pre-contrast phases. No significant differences were observed in the arterial or portal phases. Impact: This study identifies radiomics shape and texture-based features from multiphase MRI that differentiate responders from non-responders to thermal ablation in moderately differentiated HCC. These features offer insights into quantitative biomarkers, emphasizing the role of imaging in optimizing therapy.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Radiomics and Machine Learning in Medical Imaging
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Predictors of Ablation Therapy Response in Moderately Differentiated HCC using Radiomics Features from Multi-phasic DCE-MRI — Abhinav Suri, David Lu, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS