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Published on: April 9, 2019
Prostate MRI quality: clinical impact of the PI-QUAL score in prostate cancer diagnostic work-up
Eleftherios Karanasios1, Iztok Caglic2, Jeries P Zawaideh2,3
1Department of Radiology, Norfolk & Norwich University Hospital, Norwich, UK.
Objective:
To assess the reproducibility and impact of prostate imaging quality (PI-QUAL) scores in a clinical cohort undergoing prostate multiparametric MRI.
Methods:
PI-QUAL scores were independently recorded by three radiologists (two senior, one junior). Readers also recorded whether MRI was sufficient to rule-in/out cancer and if repeat imaging was required. Inter-reader agreement was assessed using Cohen's κ. PI-QUAL scores were further correlated to PI-RADS score, number of biopsy procedures, and need for repeat imaging.
Results:
Image quality was sufficient (≥PI-QUAL-3) in 237/247 (96%) and optimal (≥PI-QUAL-4) in 206/247 (83%) of males undergoing 3T-MRI. Overall PI-QUAL scores showed moderate inter-reader agreement for senior (K = 0.51) and junior-senior readers (K = 0.47), with DCE showing highest agreement (K = 0.47). With PI-QUAL-5 studies, the negative MRI calls increased from 50 to 87% and indeterminate PI-RADS-3 rates decreased from 31.8. to 10.4% compared to lower quality PI-QUAL-3 studies. More patients with PI-QUAL scores 1-3 underwent biopsy for negative (47%) and indeterminate probability (100%) MRIs compared to PI-QUAL score 4-5 (30 and 75%, respectively). Ability to rule-in cancer increased with PI-QUAL score, from 50% at PI-QUAL 1-2 to 90% for PI-QUAL 4-5, with a similarly, but greater effect for ruling-out cancer and at a lower threshold, from 0% for scans of PI-QUAL 1-2 to 67.1% for PI-QUAL 4 and 100% for PI-QUAL-5.
Conclusion:
Higher PI-QUAL scores for image quality are associated with decreased uncertainty in MRI decision-making and improved efficiency of diagnostic pathway delivery.
Advances In Knowledge:
This study demonstrates moderate inter-reader agreement for PI-QUAL scoring and validates the score in a clinical setting, showing correlation of image quality to certainty of decision making and clinical outcomes of repeat imaging and biopsy of low-to-intermediate risk cases.
Insights
Prostate imaging quality (PI-QUAL) scores show moderate agreement among radiologists and are crucial for accurate prostate cancer diagnosis. Higher PI-QUAL scores improve MRI diagnostic certainty and streamline patient care pathways.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Prostate multiparametric MRI (mpMRI) is vital for prostate cancer detection.
- Standardized assessment of mpMRI quality is essential for reliable interpretation.
- The Prostate Imaging Quality (PI-QUAL) score aims to standardize image quality assessment.
Purpose of the Study:
- To evaluate the reproducibility of PI-QUAL scores among radiologists.
- To determine the impact of PI-QUAL scores on diagnostic decision-making in prostate mpMRI.
- To assess the correlation between PI-QUAL scores and clinical outcomes such as repeat imaging and biopsy rates.
Main Methods:
- Three radiologists independently assigned PI-QUAL scores to prostate mpMRI examinations.
- Readers determined MRI sufficiency for cancer diagnosis and need for repeat imaging.
- Inter-reader agreement was assessed using Cohen's kappa (κ), and PI-QUAL scores were correlated with PI-RADS scores and clinical outcomes.
Main Results:
- 96% of 3T-mpMRI scans were deemed sufficient quality (≥PI-QUAL-3), and 83% were optimal (≥PI-QUAL-4).
- Moderate inter-reader agreement was observed for PI-QUAL scores (senior readers: κ=0.51; junior-senior: κ=0.47).
- Higher PI-QUAL scores correlated with increased ability to rule-in/out cancer, reduced PI-RADS-3 rates, and fewer biopsies for negative/indeterminate cases.
Conclusions:
- PI-QUAL scoring demonstrates moderate reproducibility in a clinical setting.
- Higher PI-QUAL scores are associated with increased diagnostic certainty and efficiency in the prostate cancer diagnostic pathway.
- The PI-QUAL score is a validated tool for assessing prostate mpMRI quality and its impact on clinical decision-making.
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