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.

scholarly journals Multiparametric magnetic resonance imaging can exclude prostate cancer progression in patients on active surveillance: a retrospective cohort study

2020 ◽  
Vol 30 (11) ◽  
pp. 6042-6051 ◽  
Author(s):  
T. Ullrich ◽  
C. Arsov ◽  
M. Quentin ◽  
F. Mones ◽  
A. C. Westphalen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Progression ◽  
Active Surveillance ◽  
Gleason Score ◽  
Cancer Progression ◽  
Predictive Value ◽  
Transrectal Ultrasound ◽  
Minimum Interval ◽  
Sensitivity Specificity

Abstract Objectives To assess the ability of multiparametric MRI (mp-MRI) of the prostate to exclude prostate cancer (PCa) progression during monitoring patients on active surveillance (AS). Methods One hundred forty-seven consecutive patients on AS with mp-MRI (T2WI, DWI, DCE-MRI) at 3T were initially enrolled. Fifty-five received follow-up mp-MRI after a minimum interval of 12 months and subsequent targeted MR/US fusion-guided biopsy (FUS-GB) plus concurrent systematic transrectal ultrasound-guided (TRUS-GB) biopsy as reference standard. Primary endpoint was the negative predictive value (NPV) of the follow-up mp-MRI to exclude histopathologic tumor progression using PRECISE recommendations. Secondary endpoints were the positive predictive value (PPV), sensitivity, specificity, Gleason score (GS) upgrades, and comparison of biopsy method. Results Of 55 patients, 29 (53%) had a GS upgrade on re-biopsy. All 29 patients showed a tumor progression on follow-up mp-MRI. Fifteen of 55 patients (27%) displayed signs of tumor progression, but had stable GS on re-biopsy. None of the 11 patients (20%) without signs of progression on follow-up mp-MRI had a GS upgrade on re-biopsy. The NPV was 100%, PPV was 66%, sensitivity was 100%, and specificity 42%. FUS-GB resulted in GS upgrade significantly more often (n = 28; 51%) compared with TRUS-GB (n = 12; 22%; p < 0.001). Conclusions (Follow-up) Mp-MRI can reliably exclude PCa progression in patients on AS. Standard serial re-biopsies might be waived if follow-up mp-MRIs are stable. Over 60% of patients with signs of tumor progression on mp-MRI during AS had a GS upgrade on re-biopsy. Targeted re-biopsies should be performed if cancer progression or higher-grade PCa is suspected on mp-MRI. Key Points • None of the patients with unsuspicious mp-MRI had a GS upgrade in re-biopsy and mp-MRI might replace serial biopsies in these cases • More than 60% of patients with mp-MRI signs of tumor progression had subsequent Gleason score (GS) upgrades • Targeted re-biopsies should be performed in case of higher GS cancer suspicion on mp-MRI

Multiparametric prostate MRI and MRI/ultrasound fusion biopsy as tools to follow prostate cancer progression for men on active surveillance.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 63-63 ◽  
Author(s):  
Nabeel Shakir ◽  
Annerleim Walton-Diaz ◽  
Soroush Rais-Bahrami ◽  
Baris Turkbey ◽  
Jason Rothwax ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Gleason Score ◽  
Cancer Progression ◽  
Predictive Value ◽  
Low Risk ◽  
Fusion Biopsy ◽  
Trus Biopsy ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer

63 Background: Active surveillance (AS) is an option for patients with low risk prostate cancer (PCa); however, determining disease progression is challenging. At the NCI, multiparametric MRI (MP-MRI) with our biopsy protocol (MR-US fusion-guided plus 12 core extended sextant biopsy) has been used to confirm eligibility for AS. We evaluated the utility of these modalities in monitoring patients on AS. Methods: Patients who underwent MP-MRI of the prostate with biopsy per our protocol between 2007-2012 were reviewed. We selected a subset who met Johns Hopkins criteria for AS (Gleason score≤6, PSA density≤0.15, tumor involvement of ≤2 cores, and ≤50% of any single core) by outside 12−core TRUS biopsy. Patients with Gleason score≤6 confirmed at first NCI biopsy session were followed with annual MP-MRI and biopsy. MRI progression was defined as an increase in MP-MRI suspicion level, lesion diameter, or number of lesions. Pathologic progression was defined as an increase to Gleason score≥7 in either 12-core or MR-fusion biopsy. We determined the association between MRI and pathologic progression. Results: 129 patients met JHU criteria for AS by outside biopsy. Mean age was 61.6 years and mean PSA 5.16ng/mL. 28/129 (21.7%) patients had Gleason score ≥7 at first NCI biopsy session.31 patients had at least two biopsy sessions (mean follow up 18 months, range 12-54 months) of which 9/31 (29%) increased in Gleason score, all to 3+4=7. Fusion biopsy detected more pathologic progression than did standard biopsy (Table). The positive predictive value of MP-MRI for pathologic progression was 50%, while the negative predictive value was 84%. The sensitivity and specificity of MP-MRI for increase in Gleason score was 67% and 73%, respectively. Conclusions: Stable findings on MP-MRI are associated with Gleason score stability in patients with low-risk PCa choosing AS. The majority of patients who had pathologic progression were detected on fusion biopsy, which may suggest that random biopsies are unnecessary in this population. Larger studies are needed to validate these findings. [Table: see text]

scholarly journals MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance

2020 ◽  
Author(s):  
Iztok Caglic ◽  
Nikita Sushentsev ◽  
Vincent J. Gnanapragasam ◽  
Evis Sala ◽  
Nadeem Shaida ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Predictive Value ◽  
Scoring System ◽  
Lesion Size ◽  
Receiver Operating Curve ◽  
Close Monitoring ◽  
Targeted Mri ◽  
Sensitivity Specificity

Abstract Objectives To assess the predictive value and correlation to pathological progression of the Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) scoring system in the follow-up of prostate cancer (PCa) patients on active surveillance (AS). Methods A total of 295 men enrolled on an AS programme between 2011 and 2018 were included. Baseline multiparametric magnetic resonance imaging (mpMRI) was performed at AS entry to guide biopsy. The follow-up mpMRI studies were prospectively reported by two sub-specialist uroradiologists with 10 years and 13 years of experience. PRECISE scores were dichotomized at the cut-off value of 4, and the sensitivity, specificity, positive predictive value and negative predictive value were calculated. Diagnostic performance was further quantified by using area under the receiver operating curve (AUC) which was based on the results of targeted MRI-US fusion biopsy. Univariate analysis using Cox regression was performed to assess which baseline clinical and mpMRI parameters were related to disease progression on AS. Results Progression rate of the cohort was 13.9% (41/295) over a median follow-up of 52 months. With a cut-off value of category ≥ 4, the PRECISE scoring system showed sensitivity, specificity, PPV and NPV for predicting progression on AS of 0.76, 0.89, 0.52 and 0.96, respectively. The AUC was 0.82 (95% CI = 0.74–0.90). Prostate-specific antigen density (PSA-D), Likert lesion score and index lesion size were the only significant baseline predictors of progression (each p < 0.05). Conclusion The PRECISE scoring system showed good overall performance, and the high NPV may help limit the number of follow-up biopsies required in patients on AS. Key Points • PRECISE scores 1–3 have high NPV which could reduce the need for re-biopsy during active surveillance. • PRECISE scores 4–5 have moderate PPV and should trigger either close monitoring or re-biopsy. • Three baseline predictors (PSA density, lesion size and Likert score) have a significant impact on the progression-free survival (PFS) time.

Comparison of multiparametric MRI to PSA kinetics as an indication of prostate cancer progression in men on active surveillance.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 59-59
Author(s):  
Mahir Maruf ◽  
Michael Kongnyuy ◽  
Arvin Koruthu George ◽  
Mohummad Minhaj Siddiqui ◽  
Abhinav Sidana ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Sensitivity And Specificity ◽  
Active Surveillance ◽  
Cancer Progression ◽  
Multiparametric Mri ◽  
Psa Kinetics ◽  
Imaging Characteristics ◽  
Patients At Risk ◽  
Psa Velocity

59 Background: Pathologic progression is identified in > 25% of prostate cancer (CaP) patients on active surveillance (AS). Yet, identifying patients at risk for progression is limited to PSA based biomarkers with variable utility. Multiparametric MRI (mpMRI) with fusion-guided prostate biopsy (FBx) has shown utility in risk stratification for patients considering AS. We compared mpMRI characteristics with PSA kinetics for the prediction of pathologic progression in AS patients. Methods: A review of men on AS with serial mpMRI and 2 or more FBx sessions was performed. FBx sessions consisted of targeted biopsies and a 12 core systematic biopsy. Men who met NIH Expanded AS criteria included those with low and intermediate risk CaP, Gleason score ≤ 3+4 = 7 with no restriction on percent core involvement or number of cores positive. Progression was defined by patients with initial Gleason 3+3 = 6 to any Gleason 4, and Gleason 3+4 = 7 to a primary Gleason 4 or higher. MRI progression was defined as increase in suspicion score, size, or new lesion on follow-up. PSA velocity (PSAV) > 0.75ng/ml/yr, PSA doubling time (PSAdt) < 3 yrs, and imaging characteristics were examined for association with pathologic progression at surveillance biopsy. Results: A total of 164 men, median age of 63 yrs [58-67], were included. Median length of follow up was 19.4 months [IQR 14.3-30.0]. Median PSA, and prostate volume of our cohort were 4.9ng/ml [3.3-7.3] and 47.0ml [36.5-59.8]. The sensitivity and specificity of predicting pathologic progression by mpMRI, PSAV and PSAdt were 45% and 65%, 30% and 76%, and 17% and 86% respectively. A combination of MRI, and PSAV or PSAdt yielded a sensitivity and specificity of 61% and 49% or 54% and 56% respectively. Using a decision curve analysis, mpMRI offers minimal benefit for predicting pathologic progression of CaP. Conclusions: MpMRI alone marginally outperforms PSA kinetics for predicting pathologic progression in men on AS for CaP. The combination of mpMRI along with PSA parameters increase the sensitivity of prostate imaging in identifying progression in AS patients. Research in combinations of imaging with other biomarkers will be needed to more accurately risk stratify AS patients.

Elastography Targeted Prostate Biopsy in Patients under Active Surveillance

2020 ◽  
Vol 104 (11-12) ◽  
pp. 948-953
Author(s):  
Tobias Steinwender ◽  
Lukas Manka ◽  
Mircea Grindei ◽  
Zhe Tian ◽  
Alexander Winter ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Positive Predictive Value ◽  
Active Surveillance ◽  
Prostate Biopsy ◽  
Predictive Value ◽  
Individual Case ◽  
Cancer Center ◽  
Sensitivity Specificity ◽  
Targeted Biopsies

<b><i>Objective:</i></b> The aim of this study was to examine elastography-based prostate biopsy in prostate cancer (PCa) patients under active surveillance. <b><i>Patients and Methods:</i></b> We relied on PCa patients who opted for active surveillance and underwent elastography targeted and systematic follow-up biopsy at the Braunschweig Prostate Cancer Center between October 2009 and February 2015. Each prostate sextant was considered as an individual case. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy (ACC) for elastography to predict follow-up biopsy results were analyzed, respectively, and 95 % confidence intervals (CIs) were carried out by using 2000 bootstrapping sample analyses. <b><i>Results:</i></b> Overall, 50 men and 300 sextants were identified. Overall, 27 (54%) men and 66 (22%) sextants harbored PCa at follow-up biopsy. Sensitivity, specificity, PPV, NPV, and ACC for elastography to predict follow-up biopsy results were: 19.7 (95% CI: 11.9–27.3), 86.8 (95% CI: 82.7–90.3), 29.6 (95% CI: 14.6–46.0), 79.3 (95% CI: 71.6–86.5), and 72.0% (95% CI: 65.7–78.3), respectively. <b><i>Conclusions:</i></b> We recorded limited reliability of elastography-based prediction of follow-up biopsy results in active surveillance patients. Based on our analyses, we can neither recommend to rely exclusively on elastography-based targeted biopsies nor to delay or to omit follow-up biopsies based on elastography results during active surveillance.

Incorporating mpMRI and biomarkers in active surveillance protocols: The prospective Stockholm3 Active Surveillance trial (STHLM3AS).

2020 ◽  
Vol 38 (6_suppl) ◽  
pp. TPS379-TPS379
Author(s):  
Anna Lantz ◽  
Henrik Olsson ◽  
Tobias Nordström ◽  
Fredrik Jäderling ◽  
Lars Egevad ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Cancer Progression ◽  
Multicenter Study ◽  
Prediction Models ◽  
Background Level ◽  
National Guidelines ◽  
Prospective Multicenter Study ◽  
Targeted Biopsies

TPS379 Background: Level one evidence shows that men with low-risk prostate cancer undergoing active surveillance (AS) with repeated PSA tests and systematic biopsies have low mortality. However, monitoring sometimes misses significant cancer progression and causes patient morbidity. The objective of this study is to evaluate a new proposed protocol for AS using the combination of the Stockholm3 test and MRI targeted biopsies in comparison to conventional follow-up using PSA and systematic biopsies. Methods: A prospective multicenter study with paired design was used to evaluate our proposed protocol (Stockholm3, MRI, targeted biopsies) compared with the conventional protocol according to Swedish National Guidelines (PSA, systematic biopsies) for follow-up of men on AS. The STHLM3 study was performed between 2012-2014. In the study 1 374 men were diagnosed with ISUP grade 1 disease. Out of these, 541 men currently on AS were invited to the STHLM3AS study. Eligible individuals had to be alive without any severe comorbidity, without contraindications for MRI and without a history of initiating prostate cancer treatment. The primary endpoint ISUP grade ≥2 cancer and the secondary endpoint number of performed biopsies will be evaluated using relative sensitivity (RS). At baseline a blood test for PSA and Stockholm3 test as well as a bi-parametric MRI was performed. For men with PIRADS ≥ 3 targeted and systematic biopsies were performed. For men with PIRADS < 3 only systematic biopsies were performed. The study is registered at ClinicalTrials.gov (NCTNCT03956108). Results: 301 men on AS have been included in the study. Since this is a trial in progress, no results will be presented. Conclusions: To our knowledge, this is the largest prospective multicenter study evaluating the performance of MRI for disease monitoring in an AS-cohort. Prediction models using biomarkers and MRI will likely both have an increasing role in the monitoring of AS patients in the future. We hypothesise that the sequential use of first Stockholm3 test followed by MRI will decrease the number of biopsies, while retaining the sensitivity to detect ISUP grade ≥2 cancer compared with using systematic biopsies in all men. Clinical trial information: NCTNCT03956108.

Cautionary tale of active surveillance in intermediate-risk patients: Overall and cause-specific survival in the Sunnybrook experience.

2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 163-163 ◽  
Author(s):  
Hima Bindu Musunuru ◽  
Laurence Klotz ◽  
Danny Vespirini ◽  
Liying Zhang ◽  
Alexandre Mamedov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Gleason Score ◽  
Low Risk ◽  
P Value ◽  
Intermediate Risk ◽  
Free Survival ◽  
Risk Patients ◽  
Cause Specific Survival

163 Background: To document the long-term outcomes of intermediate risk (IR) prostate cancer patients managed on active surveillance (AS) protocol in a single institute. Methods: Patients(pts) with PSA >10ng/ml or Gleason score 7 or clinical stage T2b/2c were identified from a prospectively collected database of 945 patients managed on AS between 1995 and 2013. Intervention was offered to those pts with a PSA doubling time of < 3 years, Gleason score or clinical progression.Overall survival (OS), cause-specific survival (CSS) for IR and low risk (LR) pts were analyzed as well as metastasis free survival (MFS) and treatment-free survival (TFS) for IR pts. Results: 237 (23.9%) pts had IR disease, with a median follow up of 6.9 years (IQR 3.89, 10.85) .708 pts had LR cancer with a median follow up of 6.4 years (IQR 3.76, 9.03). 61.2% of the IR cohort was older than 70 years. 86 IR pts (36.3%) received treatment (mainly radiation). The median treatment free interval for IR pts was 12.3 years (range 10.1 - 19.8). 33 IR patients developed biochemical failure and 17 developed metastatic disease [11 IR pts(4.6%) and 6 LR pts(0.8%)].The 10 and 15year OS was 68.4% and 50.3% for IR pts;83.6% and 68.8% for LR pts (p value <0.0001).Similarly 10 and 15 year CSS was 95.5% and 88.5% for IR ; 98.2% and 96.3% for LR pts (p value=0.006).The hazard ratio for IR pts versus LR pts was 2.08 for OS and 3.75 for CSS.IR pts had 3.75 times higher chance of dying from prostate cancer when compared to LR pts (Table). 10 year MFS and TFS were 92.1% (87.4-97.1%) and 58.5% (51.6-66.4%) in the IR cohort. Survival outcomes did not vary according to the year of patient enrollment. Conclusions: AS for intermediate risk prostate has significantly lower OS and CSS compared to low risk patients and therefore extreme caution should be exercised if it were to be implemented in intermediate risk patients. [Table: see text]

The silent presence of Mycoplasma hominis in patients with prostate cancer

2020 ◽  
Vol 78 (7) ◽  
Author(s):  
Saman Saadat ◽  
Pezhman Karami ◽  
Mohammad Jafari ◽  
Mahdi Kholoujini ◽  
Zahra Rikhtegaran Tehrani ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Mycoplasma Hominis ◽  
Opportunistic Pathogen ◽  
Host Cells ◽  
Prostate Tissue ◽  
Control Group ◽  
P Value ◽  
Retrospective Case ◽  
Formalin Fixed Paraffin Embedded ◽  
Pcr Targeting

ABSTRACT Background Mycoplasma hominis, an opportunistic pathogen in human genitourinary tract, can cause chronic infection in the prostate. Intracellular survival of M. hominis leads to a prolonged presence in the host cells that can affect the cell's biological cycle. In the present study, we aimed to evaluate the frequency of M. hominis DNA in prostate tissue of Iranian patients with prostate cancer (PCa) in comparison to a control group with benign prostatic hyperplasia (BPH). Methods This research was a retrospective case-control study using 61 archived formalin-fixed paraffin-embedded (FFPE) blocks of prostate tissue from patients with PCa and 70 FFPE blocks of patients with BPH. Real-time PCR, targeting two different genes, 16S rRNA and yidC, in the M. hominis genome was performed for all specimens. Results Out of 61 blocks of prostate biopsy from patients with PCa, eight samples (13%) were positive for M. hominis, while the bacterium was not detected in any of the 70 blocks of patients with BPH (P value, 0.002). Conclusions The high frequency of M. hominis in patients with PCa likely shows a hidden role of the organism in prostate cancer during its chronic, apparently silent and asymptomatic colonization in prostate.

scholarly journals The Effect of Javanese Language Videos with a Community Based Interactive Approach Method as an Educational Instrument for Knowledge, Perception, and Adherence amongst Tuberculosis Patients

Pharmacy ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 86
Author(s):  
Fauna Herawati ◽  
Yuni Megawati ◽  
Aslichah ◽  
Retnosari Andrajati ◽  
Rika Yulia
Keyword(s):  
Intervention Group ◽  
Personal Control ◽  
Control Group ◽  
P Value ◽  
Interactive Approach ◽  
Community Based ◽  
Tuberculosis Patients ◽  
Level Of Knowledge ◽  
The Impact

The long period of tuberculosis treatment causes patients to have a high risk of forgetting or stopping the medication altogether, which increases the risk of oral anti-tuberculosis drug resistance. The patient’s knowledge and perception of the disease affect the patient’s adherence to treatment. This research objective was to determine the impact of educational videos in the local language on the level of knowledge, perception, and adherence of tuberculosis patients in the Regional General Hospital (RSUD) Bangil. This quasi-experimental study design with a one-month follow-up allocated 62 respondents in the intervention group and 60 in the control group. The pre- and post-experiment levels of knowledge and perception were measured with a validated set of questions. Adherence was measured by pill counts. The results showed that the intervention increases the level of knowledge of the intervention group higher than that of the control group (p-value < 0.05) and remained high after one month of follow-up. The perceptions domains that changed after education using Javanese (Ngoko) language videos with the Community Based Interactive Approach (CBIA) method were the timeline, personal control, illness coherence, and emotional representations (p-value < 0.05). More than 95% of respondents in the intervention group take 95% of their pill compared to 58% of respondents in the control group (p-value < 0.05). Utilization of the local languages for design a community-based interactive approach to educate and communicate is important and effective.

Sign in / Sign up

Export Citation Format

Share Document