Predictors of Clinically Significant Prostate Cancer in Patients with PIRADS Categories 3-5 Undergoing Magnetic Resonance Imaging-Ultrasound Fusion Biopsy of the Prostate.
Stanisław SzemplińskiHubert KameckiMałgorzata DębowskaBartłomiej ZagożdżonMateusz MokrzyśMarek ZawadzkiRoman SosnowskiAndrzej TokarczykSlawomir PoletajewPiotr KrystŁukasz NykPublished in: Journal of clinical medicine (2022)
Prostate biopsy is recommended in cases of positive magnetic resonance imaging (MRI), defined as Prostate Imaging Reporting and Data System (PIRADS) category ≥ 3. However, most men with positive MRIs will not be diagnosed with clinically significant prostate cancer (csPC). Our goal was to evaluate pre-biopsy characteristics that influence the probability of a csPC diagnosis in these patients. We retrospectively analyzed 740 consecutive men with a positive MRI and no prior PC diagnosis who underwent MRI-ultrasound fusion biopsies of the prostate in three centers. csPC detection rates (CDRs) for each PIRADS category were calculated. Patient, disease, and lesion characteristics were studied for interdependencies with the csPC diagnosis. The CDR in patients with PIRADS categories 3, 4, and 5 was 10.5%, 30.7%, and 54.6%, respectively. On both uni- and multivariable regression models, older age, being biopsy-naïve, prostate specific antigen ≥ 10 ng/mL, smaller prostate volume, PIRADS > 3, a larger maximum lesion size, a lesion in the peripheral zone, and a positive digital rectal examination were associated with csPC. In this large, multicenter study, we provide new data regarding CDRs in particular PIRADS categories. In addition, we present several strong predictors that further alter the risk of csPC in MRI-positive patients. Our results could help in refining individual risk assessment, especially in PIRADS 3 patients, in whom the risk of csPC is substantially low.
Keyphrases
- prostate cancer
- magnetic resonance imaging
- end stage renal disease
- contrast enhanced
- risk assessment
- ejection fraction
- newly diagnosed
- radical prostatectomy
- peritoneal dialysis
- computed tomography
- diffusion weighted imaging
- prognostic factors
- emergency department
- machine learning
- electronic health record
- patient reported outcomes
- big data
- mass spectrometry
- climate change
- rectal cancer
- drug induced
- case report