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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

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Multiparametric prostate MRI quality assessment using a semi-automated PI-QUAL software program.

Francesco Giganti^1,2, Sydney Lindner³, Jonathan W Piper³

¹Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK. f.giganti@ucl.ac.uk.

European Radiology Experimental

|November 5, 2021

Summary

A new semiautomated software significantly reduces the time needed to assess prostate multiparametric MRI (mpMRI) image quality using the Prostate Imaging Quality (PI-QUAL) score. This tool enhances reliability and confidence in mpMRI for patient care.

Keywords:

Multiparametric magnetic resonance imaging Prostatic neoplasms Quality improvements Software

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

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Published on: December 18, 2016

Area of Science:

Radiology
Medical Imaging
Quality Assurance

Background:

Prostate multiparametric MRI (mpMRI) quality varies globally despite PI-RADS guidelines.
Quantifying image quality has been challenging, leading to the development of the Prostate Imaging Quality (PI-QUAL) score.
The PI-QUAL score assesses technical parameters and visual features of prostate MRI.

Purpose of the Study:

To evaluate the effectiveness of a semiautomated PI-QUAL software program for assessing prostate mpMRI image quality.
To compare the time efficiency of semiautomated versus manual PI-QUAL assessment.
To determine if the software improves the reliability and speed of quality assessment.

Main Methods:

Retrospective analysis of 10 prostate mpMRI scans from diverse vendors and magnets.
Utilized a semiautomated PI-QUAL software for technical parameter assessment.
Compared reporting time between semiautomated software and manual PI-QUAL scoring sheet completion.

Main Results:

The semiautomated PI-QUAL software automatically assesses technical parameters, requiring radiologist input for visual evaluation.
A significant reduction in reporting time was observed using the semiautomated software (5'54″) compared to manual scoring (7'59″; p = 0.005).
The software provides a quick and reliable method for assessing prostate mpMRI image quality.

Conclusions:

Semiautomated PI-QUAL software streamlines the assessment of prostate mpMRI technical quality.
This tool enhances efficiency and reliability for radiologists evaluating mpMRI scans.
Improved quality assessment increases clinician confidence in using mpMRI for patient management decisions.