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Standardized pancreatic MRI-T1 measurement methods: Comparison between manual measurement and a semi-Automated pipeline with automatic quality control
Triay Bagur, Alexandre Arya, Zobair Waddell, Tom Pansini, Michele Fernandes, Carolina Counter, Daniel Jackson, Edward Thomaides-Brears, Helena B. Robson, Matthew D. Bulte, Daniel P.
Triay Bagur, Alexandre
Arya, Zobair
Waddell, Tom
Pansini, Michele
Fernandes, Carolina
Counter, Daniel
Jackson, Edward
Thomaides-Brears, Helena B.
Robson, Matthew D.
Bulte, Daniel P.
Supervisor
Department
Computer Vision
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Type
Journal article
Date
2025
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Language
English
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Abstract
Objectives: Scanner-referenced T1 (srT1) is a method for measuring pancreas T1 relaxation time. The purpose of this multi-centre study is 2-fold: (1) to evaluate the repeatability of manual ROI-based analysis of srT1, (2) to validate a semi-Automated measurement method with an automatic quality control (QC) module to identify likely discrepancies between automated and manual measurements. Methods: Pancreatic MRI scans from a scan-rescan cohort (46 subjects) were used to evaluate the repeatability of manual analysis. Seven hundred and eight scans from a longitudinal multi-centre study of 466 subjects were divided into training, internal validation (IV), and external validation (EV) cohorts. A semi-Automated method for measuring srT1 using machine learning is proposed and compared against manual analysis on the validation cohorts with and without automated QC. Results: Inter-operator agreement between manual ROI-based method and semi-Automated method had low bias (3.8 ms or 0.5%) and limits of agreement [-36.6, 44.1] ms. There was good agreement between the 2 methods without automated QC (IV: 3.2 [-47.1, 53.5] ms, EV:-0.5 [-35.2, 34.2] ms). After QC, agreement on the IV set improved, was unchanged in the EV set, and the agreement in both was within inter-operator bounds (IV:-0.04 [-33.4, 33.3] ms, EV:-1.9 [-37.6, 33.7] ms). The semi-Automated method improved scan-rescan agreement versus manual analysis (manual: 8.2 [-49.7, 66] ms, automated: 6.7 [-46.7, 60.1] ms). Conclusions: The semi-Automated method for characterization of standardized pancreatic T1 using MRI has the potential to decrease analysis time while maintaining accuracy and improving scan-rescan agreement. Advances in knowledge: We provide intra-operator, inter-operator, and scan-rescan agreement values for manual measurement of srT1, a standardized biomarker for measuring pancreas fibro-inflammation. Applying a semi-Automated measurement method improves scan-rescan agreement and agrees well with manual measurements, while reducing human effort. Adding automated QC can improve agreement between manual and automated measurements. Summary statement: We describe a method for semi-Automated, standardized measurement of pancreatic T1 (srT1), which includes automated quality control. Measurements show good agreement with manual ROI-based analysis, with comparable consistency to inter-operator performance. © 2025 The Author(s).
Citation
A. Triay Bagur et al., “Standardized pancreatic MRI-T1 measurement methods: Comparison between manual measurement and a semi-Automated pipeline with automatic quality control,” British Journal of Radiology, vol. 98, no. 1170, pp. 965–973, Jun. 2025, doi: 10.1093/BJR/TQAF062
Source
British Journal of Radiology
Conference
Keywords
fibro-inflammation, pancreas, quality control, standardised, T1 mapping
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Publisher
Oxford University Press