Who with suspected prostate cancer can benefit from Proclarix after multiparametric magnetic resonance imaging?
Juan MoroteMiriam CampistolLucas RegisAnna CelmaInés de TorresMaria E SemideySarai RocheRichard MastAnna SantamariaJacques PlanasEnrique TrillaPublished in: The International journal of biological markers (2022)
Proclarix is a new blood-based test to assess the likelihood of clinically significant prostate cancer (csPCa) defined as > 2 grade group. In this study, we analyzed whether Proclarix and PSA density (PSAD) could improve the selection of candidates for prostate biopsy after multiparametric magnetic resonance imaging (mpMRI). Proclarix and PSAD were assessed in 567 consecutive men with suspected PCa in whom pre-biopsy 3 Tesla mpMRI, scoring with Prostate Imaging-Report and Data System (PI-RADS) v.2, and guided and/or systematic biopsies were performed. Proclarix and PSAD thresholds having csPCa sensitivity over 90% were found at 10% and 0.07 ng/(mL*cm 3 ), respectively. Among 100 men with negative mpMRI (PI-RADS <3), csPCa was detected in 6 cases, which would have been undetected if systematic biopsies were avoided. However, Proclarix suggested performing a biopsy on 70% of men with negative mpMRI. In contrast, PSAD only detected 50% of csPCa and required 71% of prostate biopsies. In 169 men with PI-RADS 3, Proclarix avoided 21.3% of prostate biopsies and detected all 25 cases of csPCa, while PSAD avoided 26.3% of biopsies, but missed 16% of csPCa. In 190 men with PI-RADS 4 and 108 with PI-RADS 5, Proclarix avoided 12.1% and 5.6% of prostate biopsies, but missed 4.8% and 1% of csPCa, respectively. PSAD avoided 18.4% and 9.3% of biopsies, but missed 11.4% and 4.2% csPCa, respectively. We conclude that Proclarix outperformed PSAD in the selection of candidates for prostate biopsy, especially in men with PI-RADS < 3.
Keyphrases
- prostate cancer
- ultrasound guided
- radical prostatectomy
- magnetic resonance imaging
- middle aged
- fine needle aspiration
- benign prostatic hyperplasia
- magnetic resonance
- computed tomography
- high resolution
- machine learning
- contrast enhanced
- electronic health record
- big data
- photodynamic therapy
- deep learning
- diffusion weighted imaging