qMRI enhances standard-of-care for hepatocellular carcinoma detection: proof-of-concept using Bayesian networks
Motivation: Current standard-of-care (SOC) using ultrasound and alpha fetoprotein (AFP) to detect hepatocellular carcinoma (HCC) has low specificity. Quantitative MRI (qMRI) shows promise, but is not yet widely used. Goal(s): Using Bayesian networks (BNs) to demonstrate "what if" reasoning that assess the added value of qMRI over SOC. Approach: Data from the ELEGANCE study were curated to train general linear models (GLMs) and BNs. BNs performed incremental probabilistic inference to rule out HCC. Results: Each qMRI metric increased confidence in ruling out HCC, when combined, approximately a 10% confidence boost was observed. Validation showed comparable performance between GLMs and BNs for classifying cirrhosis. Impact: qMRI information increases a clinician's confidence in ruling out HCC using either GLMs or BNs. Additionally, Bayesian networks enable incremental assessment of new metrics before the completion of data collection.
Authors
- Jason Pik Eu Chang
- Wei Yang (ORCID: https://orcid.org/0000-0002-9820-5279)
- Cheryl Min En Chua
- Carmay Lim (ORCID: https://orcid.org/0000-0001-9077-7769)
- Daniel P. Bulte
- Oi Fong Chong
- Ngiap Chuan Tan (ORCID: https://orcid.org/0000-0002-5946-1149)
- Jade Shu Qi Goh
- Han Chong Toh (ORCID: https://orcid.org/0000-0003-0642-3453)
- Pierce K. H. Chow (ORCID: https://orcid.org/0000-0003-0584-2584)
- Kee Tung Tan
- Kok Kiong Ong
- Michael Brady (ORCID: https://orcid.org/0000-0003-0430-0353)
- Yu Jun Wong (ORCID: https://orcid.org/0000-0002-0727-1183)
- Guan Huei Lee (ORCID: https://orcid.org/0000-0002-8652-6403)
- Sulaiha Binte Ithnin
- Yichun Wang (ORCID: https://orcid.org/0000-0002-4353-6660)
- Yu Ki Sim
- Marianne Anastasia De Roza
- Joan Choo
- Xin Yi Yeap
- Jacelyn Siou Sze Chua
- Patricia Ching Yen Chia
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/10.58530/2025/0110
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00