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Standardized pancreatic MRI-T1 measurement methods: comparison between manual measurement and a semi-automated pipeline with automatic quality control

Abstract:
Objectives
Scanner-referenced T1 (srT1) is a method for measuring pancreas T1 relaxation time. The purpose of this multi-centre study is two-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. 708 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 two 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/bjr/tqaf062

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


More from this funder
Funder identifier:
https://ror.org/019w4f821
Grant:
719445
Programme:
Horizon 2020 research and innovation programme
More from this funder
Funder identifier:
https://ror.org/05ar5fy68
Grant:
104688
Programme:
The National Consortium of Intelligent Medical Imaging
More from this funder
Funder identifier:
https://ror.org/0439y7842
Grant:
2280970


Publisher:
British Institute of Radiology
Journal:
British Journal of Radiology More from this journal
Volume:
98
Issue:
1170
Pages:
965–973
Place of publication:
England
Publication date:
2025-03-19
Acceptance date:
2025-03-12
DOI:
EISSN:
1748-880X
ISSN:
0007-1285
Pmid:
40108439


Language:
English
Keywords:
Pubs id:
2097603
Local pid:
pubs:2097603
Deposit date:
2025-05-15
ARK identifier:

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