Introduction: Magnetic Resonance Imaging (MRI)-targeted prostate biopsy (MRI-TB) improves the detection of prostate cancer. These biopsies typically involve both a 12-core systematic biopsy (SB) and MRI-TB of the lesion. Since the majority of PI-RADS 5 lesions represent clinically significant cancers, the utility of SB in addition to MRI-TB is unclear. We evaluate the utility of SB in the setting of PI-RADS 5 lesions in biopsy naïve and active surveillance patients.
Methods: Patients undergoing MRI-TB+SB with a PI-RADS 5 lesion were retrospectively reviewed in a prospectively collected database. Pathology obtained from the MRI-TB was then compared to that of the SB, and each was reported based on the highest Gleason Grade from the sample. In patients with a prior biopsy, we identified instances in which the MRI-TB+SB resulted in upgraded pathology and further subdivided these patients based on whether the pathology upgrade was a result of the TB or the SB.
Results: We identified PI-RADS 5 lesions in 97 patients. All lesions biopsied were found to be prostate cancer, and 86.9% were clinically significant. Gleason Grade from the MRI-TB of the PI-RADS 5 lesions was the same or higher to that of the SB in all but 3 cases (3.1%). Among 59 patients with a prior prostate biopsy, 54 had upgraded pathology from MRI-TB+SB (91.5%). Of these 54 patients, MRI-TB pathology of the PI-RADS 5 lesion was the same or higher to that of the SB in 52 patients (96.3%). In all patients with higher Gleason Grade on SB than MRI-TB, the MRI-TB demonstrated GG3 or higher and SB did not change subsequent clinical management.
Conclusion: In the presence of a PI-RADS 5 lesion, SB offers minimal additional clinical value and could potentially be omitted when performing MRI-TB.
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http://dx.doi.org/10.1016/j.urolonc.2020.12.015 | DOI Listing |
Sci Rep
January 2025
Department of Radiology, The Yancheng School of Clinical Medicine of Nanjing Medical University, Yancheng Third People's Hospital, Yancheng, China.
We intended to investigate the potential of several transitional zone (TZ) volume-related variables for the detection of clinically significant prostate cancer (csPCa) among lesions scored as Prostate Imaging Reporting and Data System (PI-RADS) category 3. Between September 2018 and August 2023, patients who underwent mpMRI examination and scored as PI-RADS 3 were queried from our institution. The diagnostic performances of prostate-specific antigen density (PSAD), TZ-adjusted PSAD (TZPSAD), and TZ-ratio (TZ volume/whole gland prostate volume) were analyzed.
View Article and Find Full Text PDFAbdom Radiol (NY)
January 2025
Department of Diagnostic and Interventional Radiology, Shanghai Eighth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: To investigative potential clinicopathological characteristics and imaging-related risk factors of clinically significant prostate cancer (csPCa) undercategorized in patients with negative or equivocal MRI.
Methods: This retrospective study included 581 patients with pathologically confirmed csPCa (Gleason score ≥ 3 + 4), including 108 undercategorized csPCa and 473 detected csPCa. All patients underwent multiparametric MRI (mpMRI).
Cancers (Basel)
January 2025
Department of Urology, St. Elisabeth Hospital Straubing, 94315 Straubing, Germany.
Background: The relationship between case volume and clinical outcomes is well established for most urological procedures but remains underexplored in prostate ultrasound/MRI fusion biopsy (UMFB). UMFB aims to detect clinically significant prostate cancer (csPCa) by adhering to cancer detection benchmarks for PI-RADS lesions identified via multiparametric MRI (mpMRI). These benchmarks, defined by Ahmed et al.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, Oncologic Imaging Division, NYU Langone Health, New York, NY, USA.
Objectives: An increasing number of patients with prostate cancer (PCa) undergo assessment with magnetic resonance imaging (MRI) and prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA-PET/CT). This offers comprehensive multimodality staging but can lead to discrepancies. The objective was to assess the rates and types of discordance between MRI and PSMA-PET/CT for primary PCa assessment.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
https://www.procancer-i.eu/.
Purpose To assess the impact of scanner manufacturer and scan protocol on the performance of deep learning models to classify prostate cancer (PCa) aggressiveness on biparametric MRI (bpMRI). Materials and Methods In this retrospective study, 5,478 cases from ProstateNet, a PCa bpMRI dataset with examinations from 13 centers, were used to develop five deep learning (DL) models to predict PCa aggressiveness with minimal lesion information and test how using data from different subgroups-scanner manufacturers and endorectal coil (ERC) use (Siemens, Philips, GE with and without ERC and the full dataset)-impacts model performance. Performance was assessed using the area under the receiver operating characteristic curve (AUC).
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