scholarly journals Single-center versus multi-center biparametric MRI radiomics approach for clinically significant peripheral zone prostate cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jeroen Bleker ◽  
Derya Yakar ◽  
Bram van Noort ◽  
Dennis Rouw ◽  
Igle Jan de Jong ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Peripheral Zone ◽  
Single Center ◽  
Resonance Imaging ◽  
Starting Point ◽  
Performance Reduction ◽  
Significant Performance ◽  
Clinically Significant

Abstract Objectives To investigate a previously developed radiomics-based biparametric magnetic resonance imaging (bpMRI) approach for discrimination of clinically significant peripheral zone prostate cancer (PZ csPCa) using multi-center, multi-vendor (McMv) and single-center, single-vendor (ScSv) datasets. Methods This study’s starting point was a previously developed ScSv algorithm for PZ csPCa whose performance was demonstrated in a single-center dataset. A McMv dataset was collected, and 262 PZ PCa lesions (9 centers, 2 vendors) were selected to identically develop a multi-center algorithm. The single-center algorithm was then applied to the multi-center dataset (single–multi-validation), and the McMv algorithm was applied to both the multi-center dataset (multi–multi-validation) and the previously used single-center dataset (multi–single-validation). The areas under the curve (AUCs) of the validations were compared using bootstrapping. Results Previously the single–single validation achieved an AUC of 0.82 (95% CI 0.71–0.92), a significant performance reduction of 27.2% compared to the single–multi-validation AUC of 0.59 (95% CI 0.51–0.68). The new multi-center model achieved a multi–multi-validation AUC of 0.75 (95% CI 0.64–0.84). Compared to the multi–single-validation AUC of 0.66 (95% CI 0.56–0.75), the performance did not decrease significantly (p value: 0.114). Bootstrapped comparison showed similar single-center performances and a significantly different multi-center performance (p values: 0.03, 0.012). Conclusions A single-center trained radiomics-based bpMRI model does not generalize to multi-center data. Multi-center trained radiomics-based bpMRI models do generalize, have equal single-center performance and perform better on multi-center data.

scholarly journals “In-Bore” MRI-Guided Prostate Biopsy for Prostate Cancer Diagnosis: Results from 140 Consecutive Patients

2020 ◽  
Vol 14 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Daniele D'Agostino ◽  
Daniele Romagnoli ◽  
Marco Giampaoli ◽  
Federico Mineo Bianchi ◽  
Paolo Corsi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Standard Procedure ◽  
Transrectal Ultrasound ◽  
Central Zone ◽  
Peripheral Zone ◽  
Resonance Imaging ◽  
Guided Biopsy ◽  
Clinically Significant

Objectives: Transrectal ultrasound-guided biopsy (TRUS-GB) is the current reference standard procedure for diagnosis of prostate cancer (PCa) but this procedure has limitations related to the low detection rate (DR) described in the literature. The aim of the study was to evaluate the DR efficiency, and complication rate in a pure “in-bore” magnetic resonance imaging-guided biopsy (MRI-GB) series according to the Prostate Imaging Reporting and Data System, version 2 (PI-RADS v2). Materials and Methods: From July 2015 to April 2018, a series of 142 consecutive patients undergoing MRI-GB were prospectively enrolled. According to the European Society of Urogenital Radiology guidelines, the presence of clinically significant PCa (csPCa) on multiparametric magnetic resonance imaging was defined as equivocal, likely, or highly likely according to a PI-RADS v2, score of 3, 4, or 5, respectively. Results: Of 142 patients, 76 (53.5%) were biopsy naive and 66 (46.5%) had ≤ 1 previous negative set of random TRUS-GB findings. The MRI-GB findings were positive in 75 of 142 patients with a DR of 52.8%. Of the 76 patients with ≤ 1 previous set of TRUS-GB, 43 had PCa found by MRI-GB, with a DR of 57.3%. The DR in the 66 biopsy-naive patients was 48% (32/66). Of the 75 patients with positive biopsy findings, 54 (80.5%) were found to have csPCa on histological examination. Of these 54 patients, 28 had an International Society of Urological Pathology grade 2; 5 had grade 3, 19 had grade 4, and 2 had grade 5. Considering the anatomic distribution of the index lesions using the PI-RADS v2 scheme, the probability of PCa was greater for lesions located in the peripheral zone (55 of 75, 73.3%) than for those in the central zone (20 of 75, 26.7%). Conclusions: Our study conducted on 142 patients confirmed the greater DR of csPCa by MRI-GB, with a very low number of cores needed and a negligible incidence of complications, especially in patients with a previous negative biopsy. MRI-GB is optimal for the diagnosis of anterior and central lesions.

The Utility of Diffusion-Weighted Imaging and Perfusion Magnetic Resonance Imaging Parameters for Detecting Clinically Significant Prostate Cancer

2019 ◽  
Vol 70 (4) ◽  
pp. 441-451
Author(s):  
Emetullah Cindil ◽  
Yusuf Oner ◽  
Halit Nahit Sendur ◽  
Hakan Ozdemir ◽  
Eymen Gazel ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Diffusion Weighted Imaging ◽  
Diagnostic Performance ◽  
Peripheral Zone ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Clinically Significant ◽  
Prostate Cancers

Introduction To establish the diagnostic performance of the parameters obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging at 3T in discriminating between non-clinically significant prostate cancers (ncsPCa, Gleason score [GS] < 7) and clinically significant prostate cancers (csPCa, GS ≥ 7) in the peripheral zone. Materials and Methods Twenty-six male patients with peripheral zone prostate cancer (PCa) who had undergone 3T multiparametric magnetic resonance imaging (MRI) scan prior to biopsy were included in the study and evaluated retrospectively. The GS was obtained by both standard 12-core transrectal ultrasound guided biopsy and targeted MRI-US fusion biopsy and then confirmed by prostatectomy, if available. For each confirmed tumour focus, DCE-derived quantitative perfusion metrics (Ktrans, Kep, Ve, initial area under the curve [AUC]), the apparent diffusion coefficient (ADC) value, and normalized versions of quantitative metrics were measured and correlated with the GS. Results Ktrans had the highest diagnostic accuracy value of 82% among the DCE-MRI parameters (AUC 0.90), and ADC had the strongest diagnostic accuracy value of 87% among the overall parameters (AUC 0.92). The combination of ADC and Ktrans have higher diagnostic performance with the area under the receiver operating characteristic curve being 0.98 (sensitivity 0.94; specificity 0.89; accuracy 0.92) compared to the individual evaluation of each parameter alone. The GS showed strong negative correlations with ADC (r = −0.72) and normalized ADC (r = −0.69) as well as a significant positive correlation with Ktrans (r = 0.69). Conclusion The combination of Ktrans and ADC and their normalized versions may help differentiate between ncsPCa from csPCa in the peripheral zone.

Naive patients with suspicious prostate cancer and positive multiparametric magnetic resonance imaging (mp-MRI): is it time for fusion target biopsy alone?

2021 ◽  
pp. 205141582110237
Author(s):  
Enrico Checcucci ◽  
Sabrina De Cillis ◽  
Daniele Amparore ◽  
Diletta Garrou ◽  
Roberta Aimar ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Detection Rate ◽  
Resonance Imaging ◽  
Fusion Biopsy ◽  
Grade Group ◽  
Final Pathology ◽  
Multiparametric Magnetic Resonance Imaging ◽  
Clinically Significant

Objectives: To determine if standard biopsy still has a role in the detection of prostate cancer or clinically significant prostate cancer in biopsy-naive patients with positive multiparametric magnetic resonance imaging. Materials and methods: We extracted, from our prospective maintained fusion biopsy database, patients from March 2014 to December 2018. The detection rate of prostate cancer and clinically significant prostate cancer and complication rate were analysed in a cohort of patients who underwent fusion biopsy alone (group A) or fusion biopsy plus standard biopsy (group B). The International Society of Urological Pathology grade group determined on prostate biopsy with the grade group determined on final pathology among patients who underwent radical prostatectomy were compared. Results: Prostate cancer was found in 249/389 (64.01%) and 215/337 (63.8%) patients in groups A and B, respectively ( P=0.98), while the clinically significant prostate cancer detection rate was 57.8% and 55.1% ( P=0.52). No significant differences in complications were found. No differences in the upgrading rate between biopsy and final pathology finding after radical prostatectomy were recorded. Conclusions: In biopsy-naive patients, with suspected prostate cancer and positive multiparametric magnetic resonance imaging the addition of standard biopsy to fusion biopsy did not increase significantly the detection rate of prostate cancer or clinically significant prostate cancer. Moreover, the rate of upgrading of the cancer grade group between biopsy and final pathology was not affected by the addition of standard biopsy. Level of evidence: Not applicable for this multicentre audit.

One-year experience of government-funded magnetic resonance imaging prior to prostate biopsy: A case for omitting biopsy in men with a negative magnetic resonance imaging

2021 ◽  
pp. 205141582110043
Author(s):  
Hanna J El-Khoury ◽  
Niranjan J Sathianathen ◽  
Yuxin Jiao ◽  
Reza Farzan ◽  
Dennis Gyomber ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Prostate Biopsy ◽  
Multivariable Analysis ◽  
Transrectal Ultrasound ◽  
Resonance Imaging ◽  
Retrospective Case ◽  
Level Of Evidence ◽  
Clinically Significant

Objectives: This study aimed to characterise the accuracy of multiparametric magnetic resonance imaging (mpMRI) as an adjunct to prostate biopsy, and to assess the effect of the new Australian Medicare rebate on practice at a metropolitan public hospital. Patients and methods: We identified patients who underwent transrectal ultrasound (TRUS)-guided prostate biopsy at a single institution over a two-year period. Patients were placed into two groups, depending upon whether their consent was obtained before or after the introduction of the Australian Medicare rebate for mpMRI. We extracted data on mpMRI results and TRUS-guided biopsy histopathology. Descriptive statistics were used to demonstrate baseline patient characteristics as well as MRI and histopathology results. Results: A total of 252 patients were included for analysis, of whom 128 underwent biopsy following the introduction of the Medicare rebate for mpMRI. There was a significant association between Prostate Imaging Reporting and Data System v2 (PI-RADS) classification and the diagnosis of clinically significant prostate cancer ( p<0.01). Only one man with PI-RADS ⩽2 was found to have clinically significant prostate cancer. Four men with a PI-RADS 3 lesion were found to have clinically significant cancer. A PI-RADS 4 or 5 lesion was significantly associated with the diagnosis of clinically significant cancer on multivariable analysis. Conclusion: mpMRI is an important adjunct to biopsy in the diagnosis of clinically significant prostate cancer. Our findings support the safety of omitting/delaying prostate biopsy in men with negative mpMRI. Level of evidence: Level 3 retrospective case-control study.

scholarly journals Usefulness of Grayscale Values of Hypoechoic Lesions Matched with Target Lesions Observed on Magnetic Resonance Imaging for the Prediction of Clinically Significant Prostate Cancer

2021 ◽  
Author(s):  
Dong Gyun Kim ◽  
Jeong Woo Yoo ◽  
Kyo Chul Koo ◽  
Byung Ha Chung ◽  
Kwang Suk Lee
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Area Under The Curve ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Scoring Method ◽  
Significant Difference ◽  
Picture Archiving And Communication ◽  
Clinically Significant

Abstract INTRODUCTION: To analyze grayscale values for hypoechoic lesions matched with target lesions evaluated using prebiopsy magnetic resonance imaging (MRI). METHODS We collected data on 420 target lesions in patients who underwent MRI/transrectal ultrasound fusion biopsies. Images of hypoechoic lesions that matched the target lesions on MRI were stored in a picture archiving and communication system, and their grayscale values were estimated using the red/green/blue scoring method through an embedded function. We analyzed imaging data using grayscale values. RESULTS Of the 420 lesions, 261 (62.1%) were prostate cancer lesions. Grayscale ranges (42.6–91.8) were significant predictors of clinically significant prostate cancer (csPC) in multivariable logistic regression analyses. Area under the curve for detecting csPC using grayscale values along with conventional variables was 0.839, which was significantly higher than that for detecting csPC using only conventional variables (0.828; p = 0.036). Subgroup analysis revealed a significant difference for PI-RADS 3 lesions between grayscale values for benign and cancerous lesions (p = 0.008). Grayscale values were the only significant predictive factor (p = 0.005) for csPC. CONCLUSIONS Distribution of grayscale values according to PI-RAD 3 scores was useful, and the grayscale range (42.6–91.8) was an important factor for csPC diagnosis.

Sign in / Sign up

Export Citation Format

Share Document