Use of multiparametric MRI of prostate in active surveillance cohort of patients with localized prostate cancer in large urology group setting.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 129-129
Author(s):  
Richard Kronhaus ◽  
Dimitios Telonis ◽  
Christopher Michael Pieczonka ◽  
Howard Williams ◽  
David Albala ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Sensitivity And Specificity ◽  
Active Surveillance ◽  
Predictive Value ◽  
Small Sample Size ◽  
Small Sample ◽  
Definitive Treatment ◽  
Low Grade ◽  
Group Setting ◽  
Clinically Significant

129 Background: The aim of this study was to determine the feasibility of using mpMRI to monitor/reclassify patients with low grade Prostate Cancer (PCa) undergoing Active Surveillance in a large urology practice. Methods: This is a retrospective study reviewing the records of 28 total patients following active surveillance (AS) protocol. All patients have been diagnosed with biopsy proven prostate cancer (PCa) and have undergone at least one mpMRI as a means of surveillance. The median total PSA of the group at time of diagnosis was 5.93 ng/ml and the mean age of the group was 64 years old. Between the 28 patients, 38 mpMRI tests were conducted, consisting of T2-weighted, diffusion weighted, and dynamic contrast enhanced MRI. Targeted ‘cognitive’ TRUS-MRI guided biopsy was used to locate progression of the PCa and help to determine whether a patient should stay on AS versus choosing more aggressive, definitive treatment. Confirmatory random biopsy was also used to determine overall sensitivity and specificity of the mpMRI conducted for suspicious regions of interest (ROI). Results: The sensitivity and specificity for the group was 65% and 92% respectively. The positive predictive value for the group was 94% while the negative predictive value was 55%. mpMRI was able to detect all clinically significant cancers except in one case. It did not detect some small size lesions (≤5.5mm) of Gleason score 6 that did not have a relevant clinical value. In five of the 28 cases (18%), patients fit the criteria for reclassification (Gleason ≥7, ≥ 3 new positive cores) out of the AS group. Four of these five patients exhibited clear progression of PCa on mpMRI and elected for more aggressive definitive treatment . The progression of cancer in the fifth patient was not seen on mpMRI but only after biopsy. This patient elected to stay in AS because of his advanced age. Conclusions: Despite the limitation of small sample size, mpMRI can be used as an effective diagnostic tool in the AS cohort of a community practice. It can facilitate early detection and progression of suspicious lesion(s) towards clinically significant PCa, thus triggering the start of more aggressive treatment.

Change in a 17-gene genomic prostate score over time in men with low- and intermediate-risk prostate cancer managed with active surveillance.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 124-124
Author(s):  
Michael S. Leapman ◽  
Janet E. Cowan ◽  
Hao Gia Nguyen ◽  
Matthew R. Cooperberg ◽  
Peter Carroll
Keyword(s):  
Prostate Cancer ◽  
Radical Prostatectomy ◽  
Active Surveillance ◽  
Small Sample ◽  
Definitive Treatment ◽  
Intermediate Risk ◽  
Pathological Findings ◽  
Clinical Risk ◽  
Risk Prostate Cancer ◽  
Over Time

124 Background: A biopsy-based RT-PCR assay (Oncotype DX Prostate Assay) providing a Genomic Prostate Score (GPS) as a measure of tumor aggressiveness has been validated as a predictor of adverse pathologic and oncologic outcomes. We sought to evaluate the change in GPS results among men with favorable-risk prostate cancer (PCa) managed with active surveillance (AS). Methods: We identified men with low and intermediate-clinical risk PCa managed with AS at our institution receiving a minimum of two GPS tests on serial prostate biopsy. GPS ranges from 0 (least) to 100 (most aggressive disease). We described the change in assay results and clinical risk designation over time and reported the subsequent clinical outcome (definitive treatment versus continued AS). For men receiving treatment with radical prostatectomy (RP) the occurrence of adverse pathological findings was defined by the presence of high grade (Gleason pattern ≥ 4+3) or non-organ confined disease ( ≥ pT3a). Results: 31 men were identified who underwent serial GPS testing at a median of 12 months. The median change in GPS was an increase of 1 point (IQR -7, 13). Fourteen (45%) patients experienced an increase in NCCN risk classification, including 3 from very-low to intermediate and 11 from low to intermediate risk. Following serial GPS testing 7 patients (23%) underwent radical prostatectomy. Among surgically treated patients, 3 had adverse pathology due to pT3a disease and the mean change in GPS prior to treatment was an increase of 13 points (IQR -7, 18); all of whom were intermediate clinical risk at the time of surgery. This study was limited by the small sample size and the uncontrolled decision to pursue definitive therapy. Conclusions: Serial change in a tissue based gene expression assay on serial biopsy during AS was non-static. Magnitude of GPS change may identify men at risk for adverse pathological findings, although larger series are required to validate such an endpoint during AS.

scholarly journals The utility of prostate MRI within active surveillance: description of the evidence

2021 ◽  
Author(s):  
Georgina Dominique ◽  
Wayne G. Brisbane ◽  
Robert E. Reiter
Keyword(s):  
Prostate Cancer ◽  
Negative Predictive Value ◽  
Active Surveillance ◽  
Predictive Value ◽  
Multiparametric Mri ◽  
Cochrane Library ◽  
Resonance Imaging ◽  
Active Monitoring ◽  
Initial Biopsy ◽  
Clinically Significant

Abstract Purpose We present an overview of the literature regarding the use of MRI in active surveillance of prostate cancer. Methods Both MEDLINE® and Cochrane Library were queried up to May 2020 for studies of men on active surveillance with MRI and later confirmatory biopsy. The terms studied were ‘prostate cancer’ as the anchor followed by two of the following: active surveillance, surveillance, active monitoring, MRI, NMR, magnetic resonance imaging,  MRI, and multiparametric MRI. Studies were excluded if pathologic reclassification (GG1 →  ≥ GG2) and PI-RADS or equivalent was not reported. Results Within active surveillance, baseline MRI is effective for identifying clinically significant prostate cancer and thus associated with fewer reclassification events. A positive initial MRI (≥ PI-RADS 3) with GG1 identified at biopsy has a positive predictive value (PPV) of 35–40% for reclassification by 3 years. MRI possessed a stronger negative predictive value, with a negative MRI (≤ PI-RADS 2) yielding a negative predictive value of up to 85% at 3 years. Surveillance MRI, obtained after initial biopsy, yielded a PPV of 11–65% and NPV of 85–95% for reclassification. Conclusion MRI is useful for initial risk stratification of prostate cancer in men on active surveillance, especially if MRI is negative when imaging is obtained during surveillance. While useful, MRI cannot replace biopsy and further research is necessary to fully integrate MRI into active surveillance.

scholarly journals Primary Circulating Prostate Cells Are Not Detected in Men with Low Grade Small Volume Prostate Cancer

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Nigel P. Murray ◽  
Eduardo Reyes ◽  
Cynthia Fuentealba ◽  
Nelson Orellana ◽  
Omar Jacob
Keyword(s):  
Prostate Cancer ◽  
Prospective Study ◽  
Active Surveillance ◽  
Small Volume ◽  
Low Grade ◽  
Prostate Cells ◽  
Study Population ◽  
Initial Biopsy ◽  
Clinically Significant ◽  
A Prospective Study

Objective. To determine if primary circulating prostate cells (CPCs) are found in all men with prostate cancer.Methods and Patients. A prospective study, to analyze all men with an elevated PSA between 4.0 and 10.0 ng/mL undergoing initial biopsy. Primary CPCs were obtained by differential gel centrifugation and detected using standard immunocytochemistry using anti-PSA; positive samples underwent a second process with anti-P504S. A malignant primary CPC was defined as PSA (+) P504S (+) and a test positive if 1 cell/4 mL was detected. Biopsy results were registered as cancer/no-cancer, number of cores positive, and percent infiltration of the cores.Results. 328/1123 (29.2%) of the study population had prostate cancer diagnosed on initial biopsy, and 42/328 (12.8%) were negative for primary CPCs. CPC negative men were significantly older, and had lower PSA levels, lower Gleason scores, and fewer positive cores and with infiltration by the cancer. 38/42 (91%) of CPC negative men complied with the criteria for active surveillance in comparison with 34/286 (12%) of CPC positive men.Conclusions. Using primary CPC detection as a sequential test to select men with an elevated PSA for biopsy, the risk of missing clinically significant prostate cancer is minimal when the patient is primary CPC negative; less than 0.5% of all primary CPC negative men had a clinically significant prostate cancer.

scholarly journals Comparison of conventional transrectal ultrasound, magnetic resonance imaging, and micro-ultrasound for visualizing prostate cancer in an active surveillance population: A feasibility study

2018 ◽  
Vol 13 (3) ◽  
Author(s):  
Gregg Eure ◽  
Daryl Fanney ◽  
Jefferson Lin ◽  
Brian Wodlinger ◽  
Sangeet Ghai
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Real Time ◽  
Active Surveillance ◽  
Low Grade ◽  
Resonance Imaging ◽  
Biopsy Procedure ◽  
Conventional Ultrasound ◽  
Clinically Significant

Introduction: Active surveillance monitoring of prostate cancer is unique in that most patients have low-grade disease that is not well-visualized by any common imaging technique. High-resolution (29 MHz) micro-ultrasound is a new, real-time modality that has been demonstrated to be sensitive to significant prostate cancer and effective for biopsy targeting. This study compares micro-ultrasound imaging with magnetic resonance imaging (MRI) and conventional ultrasound for visualizing prostate cancer in active surveillance. Methods: Nine patients on active surveillance were imaged with multiparametric (mp) MRI prior to biopsy. During the biopsy procedure, imaging and target identification was first performed using conventional ultrasound, then using micro-ultrasound. The mpMRI report was then unblinded and used to determine cognitive fusion targets. Using micro-ultrasound, biopsy samples were taken from targets in each modality, plus 12 systematic samples. Results: mpMRI and micro-ultrasound both demonstrated superior sensitivity to Gleason sum 7 or higher cancer compared to conventional ultrasound (p=0.02 McNemar’s test). Micro-ultrasound detected 89% of clinically significant cancer, compared to 56% for mpMRI. Conclusions: Micro-ultrasound may provide similar sensitivity to clinically significant prostate cancer as mpMRI and visualize all significant mpMRI targets. Unlike mpMRI, micro-ultrasound is performed in the office, in real-time during the biopsy procedure, and so is expected to maintain the cost-effectiveness of conventional ultrasound. Larger studies are needed before these results may be applied in a clinical setting.

scholarly journals Can mean ADC value and ADC ratio of benign prostate tissue to prostate cancer assist in the prediction of clinically significant prostate cancer within the PI-RADSv2 scoring system?

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Samar Ramzy Ragheb ◽  
Reem Hassan Bassiouny
Keyword(s):  
Prostate Cancer ◽  
Sensitivity And Specificity ◽  
Gleason Score ◽  
Treatment Strategies ◽  
Serum Levels ◽  
Prostatic Tissue ◽  
Histopathological Analysis ◽  
Adc Value ◽  
The Mean ◽  
Clinically Significant

Abstract Background The aim of this study is to investigate whether quantitative DW metrics can provide additive value to the reliable categorization of lesions within existing PI-RADSv2 guidelines. Fifty-eight patients with clinically suspicious prostate cancer who underwent PR examination, PSA serum levels, sextant TRUS-guided biopsies, and bi-parametric MR imaging were included in the study. Results Sixty-six lesions were detected by histopathological analysis of surgical specimens. The mean ADC values were significantly lower in tumor than non-tumor tissue. The mean ADC value inversely correlated with Gleason score of tumors with a significant p value < 0.001.Conversely, a positive relationship was found between the ADC ratio (ADC of benign prostatic tissue to prostate cancer) and the pathologic Gleason score with a significant elevation of the ADC ratio along with an increase of the pathologic Gleason score (p < 0.001). ROC curves constructed for the tumor ADC and ADC ratio helped to distinguish pathologically aggressive (Gleason score ≥ 7) from non-aggressive (Gleason score ≤ 6) tumors and to correlate it with PIRADSv2 scoring to predict the presence of clinically significant PCA (PIRADSv2 DW ≥ 4). The ability of the tumor ADC and ADC ratio to predict highly aggressive tumors (GS> 7) was high (AUC for ADC and ADC ratio, 0.946 and 0.897; p = 0.014 and 0.039, respectively). The ADC cut-off value for GS ≥ 7 was < 0.7725 and for GS ≤ 6 was > 0.8620 with sensitivity and specificity 97 and 94%. The cutoff ADC ratio for predicting (GS > 7) was 1.42 and for GS ≤ 6 was > 1.320 with sensitivity and specificity 97 and 92%. By applying this ADC ratio cut-off value the sensitivity and specificity of reader 1 for correct categorization of PIRADSv2 DW > 4 increased from 90 and 68% to 95 and 90% and that of reader 2 increased from 94 and 88% to 97 and 92%, respectively. Conclusion Estimation of DW metrics (ADC and ADC ratio between benign prostatic tissue and prostate cancer) allow the non-invasive assessment of biological aggressiveness of prostate cancer and allow reliable application of the PIRADSv2 scoring to determine clinically significant cancer (DW score > 4) which may contribute in planning initial treatment strategies.

scholarly journals Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance

2021 ◽  
Author(s):  
Nikita Sushentsev ◽  
Leonardo Rundo ◽  
Oleg Blyuss ◽  
Tatiana Nazarenko ◽  
Aleksandr Suvorov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Cancer Progression ◽  
Predictive Value ◽  
Machine Learning Algorithms ◽  
Superior Performance ◽  
Control Group ◽  
P Value ◽  
Lasso Regression

Abstract Objectives To compare the performance of the PRECISE scoring system against several MRI-derived delta-radiomics models for predicting histopathological prostate cancer (PCa) progression in patients on active surveillance (AS). Methods The study included AS patients with biopsy-proven PCa with a minimum follow-up of 2 years and at least one repeat targeted biopsy. Histopathological progression was defined as grade group progression from diagnostic biopsy. The control group included patients with both radiologically and histopathologically stable disease. PRECISE scores were applied prospectively by four uro-radiologists with 5–16 years’ experience. T2WI- and ADC-derived delta-radiomics features were computed using baseline and latest available MRI scans, with the predictive modelling performed using the parenclitic networks (PN), least absolute shrinkage and selection operator (LASSO) logistic regression, and random forests (RF) algorithms. Standard measures of discrimination and areas under the ROC curve (AUCs) were calculated, with AUCs compared using DeLong’s test. Results The study included 64 patients (27 progressors and 37 non-progressors) with a median follow-up of 46 months. PRECISE scores had the highest specificity (94.7%) and positive predictive value (90.9%), whilst RF had the highest sensitivity (92.6%) and negative predictive value (92.6%) for predicting disease progression. The AUC for PRECISE (84.4%) was non-significantly higher than AUCs of 81.5%, 78.0%, and 80.9% for PN, LASSO regression, and RF, respectively (p = 0.64, 0.43, and 0.57, respectively). No significant differences were observed between AUCs of the three delta-radiomics models (p-value range 0.34–0.77). Conclusions PRECISE and delta-radiomics models achieved comparably good performance for predicting PCa progression in AS patients. Key Points • The observed high specificity and PPV of PRECISE are complemented by the high sensitivity and NPV of delta-radiomics, suggesting a possible synergy between the two image assessment approaches. • The comparable performance of delta-radiomics to PRECISE scores applied by expert readers highlights the prospective use of the former as an objective and standardisable quantitative tool for MRI-guided AS follow-up. • The marginally superior performance of parenclitic networks compared to conventional machine learning algorithms warrants its further use in radiomics research.

A longitudinal study of patients undergoing active surveillance for low grade prostate cancer diagnosed at Transperineal Template Prostate Mapping

2019 ◽  
Vol 18 (1) ◽  
pp. e615
Author(s):  
M. Kailavasan ◽  
T.J. Walton ◽  
P. Ravindra ◽  
S. Trecarten ◽  
J. Voss ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Longitudinal Study ◽  
Active Surveillance ◽  
Low Grade
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