Improving prostate MRI quality assessment across diverse evaluators and institutional practice through a PI-QUAL v2 lecture: a pilot study
OBJECTIVE: To evaluate the impact of a prostate imaging quality (PI-QUAL) v2 lecture on the accuracy and inter-reader agreement of prostate MRI image-quality assessment among radiologists and technologists from diverse professional backgrounds and institutions, and to evaluate its role in institutional-level quality improvement through a quality control (QC) process. MATERIALS AND METHODS: Ten participants (five radiologists and five technologists) from five different hospitals independently evaluated 15 prostate MRIs before and after a standardized PI-QUAL v2 lecture. Reference scores were established by two experienced radiologists. Concordance with reference was assessed using accuracy and balanced accuracy. Inter-reader agreement was measured using percent agreement (PA) and Gwet's AC1. Subgroup analyses were conducted based on participant characteristics. For the quality assurance and QC (QA/QC), each center submitted 15 prostate MRIs before and after the lecture. Image quality was evaluated centrally to assess institutional improvement. RESULTS: Overall accuracy increased from 66.7% to 76.7%, and balanced accuracy increased from 62.9% to 84.2%; the mixed-effects model indicated significantly higher post-lecture accuracy (p = 0.038). Accuracy was also higher across all subgroups. Inter-reader agreement improved from PA 57.6% to 72.6% and Gwet's AC1 from 0.214 to 0.466. Through the QA/QC process, three centers initially failed to meet PI-QUAL v2 technical criteria. After feedback, all post-intervention scans achieved PI-QUAL v2 scores > 1. CONCLUSION: A structured PI-QUAL v2 lecture improved both the accuracy and inter-reader agreement of prostate MRI image-quality assessments among diverse evaluators. Incorporating QA/QC further enhanced institutional image quality. PI-QUAL v2 training is a feasible strategy for standardizing prostate MRI quality. KEY POINTS: Question Does a structured PI-QUAL v2 lecture for radiologists and technologists improve prostate MRI quality assessment performance and institutional imaging practice across institutions? Findings PI-QUAL v2 training improved accuracy (66.7% to 76.7%) and inter-reader agreement in prostate MRI quality assessment, while QA/QC feedback enhanced institutional imaging quality. Clinical relevance statement Structured PI-QUAL v2 education combined with quality assurance and quality control feedback improves evaluator consistency and institutional prostate MRI quality, facilitating standardized image-quality assessment and broader implementation of high-quality prostate MRI in clinical radiology.
Authors
- Caroline M. Moore (ORCID: https://orcid.org/0000-0003-0202-7912)
- Lei Shi (ORCID: https://orcid.org/0000-0003-0031-2808)
- Feng Tianlu
- Francesco Giganti (ORCID: https://orcid.org/0000-0001-5218-6431)
- Xiaoxiao Zhang (ORCID: https://orcid.org/0009-0000-9628-6514)
- CLARE M. ALLEN
- 杨力铭
- Gumuyang Zhang (ORCID: https://orcid.org/0000-0002-6520-3138)
- Xu Wang
- Zufeng Ge
- Hailong Zhou
- Yu Feng
- Lili Xu
- Guoqing Xiao
- Yifeng Zheng
- Kai Li
- Hao Sun
- Dong Liu
- Hongxia Ni
- Jianfeng Yang
- Yitao Liu
Institutions
- University College Hospital (GB)
- University College London Hospitals NHS Foundation Trust (GB)
- Chinese Academy of Sciences (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Zhejiang Cancer Hospital (CN)
- Huzhou Central Hospital (CN)
- Shaoxing People's Hospital (CN)
- Hangzhou Institute of Medicine, Chinese Academy of Sciences (CN)
- University College London (GB)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-10-29
- DOI
- https://doi.org/10.1186/s13244-026-02450-x
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Peking Union Medical College Hospital
- Natural Science Foundation of Zhejiang Province
- Science and Technology Program of Zhejiang Province