Picture Perfect: The Status of Image Quality in Prostate MRI.
Alexandre WoernleCameron EnglmanLouise DickinsonAlex KirkhamShonit PunwaniAiman HaiderAlex FreemanVeeru KasivisivanathanMark EmbertonJohn HinesCaroline M MooreClare AllenFrancesco GigantiPublished in: Journal of magnetic resonance imaging : JMRI (2023)
Magnetic resonance imaging is the gold standard imaging modality for the diagnosis of prostate cancer (PCa). Image quality is a fundamental prerequisite for the ability to detect clinically significant disease. In this critical review, we separate the issue of image quality into quality improvement and quality assessment. Beginning with the evolution of technical recommendations for scan acquisition, we investigate the role of patient preparation, scanner factors, and more advanced sequences, including those featuring Artificial Intelligence (AI), in determining image quality. As means of quality appraisal, the published literature on scoring systems (including the Prostate Imaging Quality score), is evaluated. Finally, the application of AI and teaching courses as ways to facilitate quality assessment are discussed, encouraging the implementation of future image quality initiatives along the PCa diagnostic and monitoring pathway. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 3.
Keyphrases
- image quality
- artificial intelligence
- quality improvement
- prostate cancer
- computed tomography
- magnetic resonance imaging
- dual energy
- machine learning
- big data
- contrast enhanced
- high resolution
- deep learning
- patient safety
- systematic review
- healthcare
- primary care
- benign prostatic hyperplasia
- magnetic resonance
- randomized controlled trial
- case report
- diffusion weighted imaging
- simultaneous determination
- medical students