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, Banerjee Rajarshi, Aljabar Paul, Brady Michael
Perspectum Ltd, Oxford OX4 2LL, United Kingdom.
Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom.
Br J Radiol. 2025 Jun 1;98(1170):965-973. doi: 10.1093/bjr/tqaf062.
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.
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.
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).
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.
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.
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.
扫描仪参考T1（srT1）是一种测量胰腺T1弛豫时间的方法。这项多中心研究的目的有两个：（1）评估基于手动感兴趣区（ROI）分析srT1的可重复性，（2）验证一种带有自动质量控制（QC）模块的半自动测量方法，以识别自动测量和手动测量之间可能存在的差异。
来自扫描-再扫描队列（46名受试者）的胰腺MRI扫描用于评估手动分析的可重复性。对466名受试者的纵向多中心研究中的708次扫描被分为训练、内部验证（IV）和外部验证（EV）队列。提出了一种使用机器学习测量srT1的半自动方法，并在有和没有自动QC的验证队列中与手动分析进行比较。
基于手动ROI的方法和半自动方法之间的操作者间一致性偏差较低（3.8毫秒或0.5%），一致性界限为[-36.6, 44.1]毫秒。在没有自动QC的情况下，两种方法之间具有良好的一致性（IV：3.2 [-47.1, 53.5]毫秒，EV：-0.5 [-35.2, 34.2]毫秒）。经过QC后，IV组的一致性得到改善，EV组的一致性没有变化，且两组的一致性都在操作者间界限内（IV：-0.04 [-33.4, 33.3]毫秒，EV：-1.9 [-37.6, 33.7]毫秒）。与手动分析相比，半自动方法改善了扫描-再扫描一致性（手动：8.2 [-49.7, 66]毫秒，自动：6.7 [-46.7, 60.1]毫秒）。
使用MRI对标准化胰腺T1进行特征描述的半自动方法有可能减少分析时间，同时保持准确性并改善扫描-再扫描一致性。
我们提供了用于手动测量srT1的操作者内、操作者间和扫描-再扫描一致性值，srT1是一种用于测量胰腺纤维炎症的标准化生物标志物。应用半自动测量方法可改善扫描-再扫描一致性，与手动测量结果吻合良好，同时减少了人力。添加自动QC可以提高手动测量和自动测量之间的一致性。
我们描述了一种用于胰腺T1（srT1）的半自动、标准化测量方法，其中包括自动质量控制。测量结果与基于手动ROI的分析吻合良好，与操作者间的表现具有相当的一致性。
