scholarly journals PSA Density Help to Identify Patients With Elevated PSA Due to Prostate Cancer Rather Than Intraprostatic Inflammation: A Prospective Single Center Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Salvatore M. Bruno ◽  
Ugo G. Falagario ◽  
Nicola d’Altilia ◽  
Marco Recchia ◽  
Vito Mancini ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Prostate Volume ◽  
Multivariable Analysis ◽  
Binary Logistic Regression Analysis ◽  
Single Center ◽  
Negative Biopsy ◽  
Psa Density ◽  
Clinically Significant ◽  
Prostatic Inflammation

The association between PSA density, prostate cancer (PCa) and BPH is well established. The aim of the present study was to establish whether PSA density can be used as a reliable parameter to predict csPCa and to determine its optimal cutoff to exclude increased PSA levels due to intraprostatic inflammation. This is a large prospective single-center, observational study evaluating the role of PSA density in the discrimination between intraprostatic inflammation and clinically significant PCa (csPCa). Patients with PSA ≥ 4 ng/ml and/or positive digito-rectal examination (DRE) and scheduled for prostate biopsy were enrolled. Prostatic inflammation (PI) was assessed and graded using the Irani Scores. Multivariable binary logistic regression analysis was used to assess if PSA density was associated with clinically significant PCa (csPCa) rather than prostatic inflammation. A total of 1988 patients met the inclusion criteria. Any PCa and csPCa rates were 47% and 24% respectively. In the group without csPCa, patients with prostatic inflammation had a higher PSA (6.0 vs 5.0 ng/ml; p=0.0003), higher prostate volume (58 vs 52 cc; p<0.0001), were more likely to have a previous negative biopsy (29% vs 21%; p=0.0005) and a negative DRE (70% vs 65%; p=0.023) but no difference in PSA density (0.1 vs 0.11; p=0.2). Conversely in the group with csPCa, patients with prostatic inflammation had a higher prostate volume (43 vs 40 cc; p=0.007) but no difference in the other clinical parameters. At multivariable analysis adjusting for age, biopsy history, DRE and prostate volume, PSA density emerged as a strong predictor of csPCA but was not associated with prostatic inflammation. The optimal cutoffs of PSA density to diagnose csPCa and rule out the presence of prostatic inflammation in patients with an elevated PSA (>4 ng/ml) were 0.10 ng/ml2 in biopsy naïve patients and 0.15 ng/ml2 in patients with a previous negative biopsy. PSA density rather than PSA, should be used to evaluate patients at risk of prostate cancer who may need additional testing or prostate biopsy. This readily available parameter can potentially identify men who do not have PCa but have an elevated PSA secondary to benign conditions.

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 Integrated predictive model for prostatic cancer using clinical, laboratory and ultrasound data

2016 ◽  
Vol 43 (6) ◽  
pp. 430-437
Author(s):  
GUSTAVO DAVID LUDWIG ◽  
HENRIQUE PERES ROCHA ◽  
LÚCIO JOSÉ BOTELHO ◽  
MAIARA BRUSCO FREITAS
Keyword(s):  
Prostate Cancer ◽  
Predictive Model ◽  
Prostate Biopsy ◽  
Clinical Laboratory ◽  
Prostate Volume ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Roc Curves ◽  
Rectal Examination ◽  
Psa Density

ABSTRACT Objective: to develop a predictive model to estimate the probability of prostate cancer prior to biopsy. Methods: from September 2009 to January 2014, 445 men underwent prostate biopsy in a radiology service. We excluded from the study patients with diseases that could compromise the data analysis, who had undergone prostatic resection or used 5-alpha-reductase inhibitors. Thus, we selected 412 patients. Variables included in the model were age, prostate specific antigen (PSA), digital rectal examination, prostate volume and abnormal sonographic findings. We constructed Receiver Operating Characteristic (ROC) curves and calculated the areas under the curve, as well as the model's Positive Predictive Value (PPV) . Results: of the 412 men, 155 (37.62%) had prostate cancer (PC). The mean age was 63.8 years and the median PSA was 7.22ng/ml. In addition, 21.6% and 20.6% of patients had abnormalities on digital rectal examination and image suggestive of cancer by ultrasound, respectively. The median prostate volume and PSA density were 45.15cm3 and 0.15ng/ml/cm3, respectively. Univariate and multivariate analyses showed that only five studied risk factors are predictors of PC in the study (p<0.05). The PSA density was excluded from the model (p=0.314). The area under the ROC curve for PC prediction was 0.86. The PPV was 48.08% for 95%sensitivity and 52.37% for 90% sensitivity. Conclusion: the results indicate that clinical, laboratory and ultrasound data, besides easily obtained, can better stratify the risk of patients undergoing prostate biopsy.

Is PI-RADS 3/total lesion ratio associated with clinically-significant prostate cancer in patients with equivocal-risk lesions on multi-parametric MRI?

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 149-149
Author(s):  
Kamyar Ghabili ◽  
Matthew Swallow ◽  
Alfredo Suarez-Sarmiento ◽  
Jamil Syed ◽  
Michael Leapman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Volume ◽  
Area Under The Curve ◽  
Lesion Volume ◽  
Fusion Biopsy ◽  
Grade Group ◽  
Psa Density ◽  
Increased Risk ◽  
Positive Core ◽  
Clinically Significant

149 Background: Prostate imaging reporting and data system (PI-RADS) category 3 (P3) provides an equivocal assessment of prostate cancer (PCa). We aimed to investigate imaging parameters including the ratio of P3-to-total regions of interest (ROI) that may assist in identifying P3 lesions harboring clinically-significant PCa (csPCa). Methods: We retrospectively queried our institutional MRI-ultrasound fusion biopsy database to identify patients without a prior diagnosis of PCa and with at least one P3 lesion on multi-parametric MRI (mpMRI) who underwent fusion biopsy during Feb 2015-Oct 2017. mpMRI findings were assessed, including prostate and P3 volumes, number of ROIs, and P3-to-total ROIs ratio (P3 lesion volume/total ROIs volumes). Logistic regression and area under the curve (AUC) were used to assess the ability of clinical and mpMRI characteristics to predict csPCa, defined as any grade group (GG)≥2 cancer or GG 1 cancer in > 2 cores or > 50% of any positive core from targeted biopsy of the P3 lesion. Results: Of 127 men with at least one P3 lesion, 29 (22.8%) had csPCa on the biopsy of P3 lesions. Patients with csPCa in P3 lesions had smaller prostate volumes (42.1mL vs 56mL, p = 0.003), lower P3/total ROIs ratios (0.46 vs 1.00, p < 0.001), and higher numbers of total ROIs (2 vs 1, p = 0.004). Compared with patients who had a P3/total ROIs ratio > 0.58, men with ratios < 0.58 were more likely to be diagnosed with csPCa in a P3 lesion (57.1% vs 9%, p < 0.001). Using a threshold of 0.58, P3/total ROIs ratio was 76.1% sensitive and 80.6% specific for csPCa in a P3 lesion. On multivariate analysis, smaller prostate volume (OR1.04, 95%CI 1.01-1.07, p = 0.01) and lower P3/total ROIs ratio (OR1.04, 95%CI 1.02-1.07, p = 0.003) were associated with an increased risk of csPCa in P3 lesions. P3/total ROIs ratio (AUC 0.73) and prostate volume (AUC 0.70) were superior to PSA density (AUC 0.65) for the prediction of csPCa in P3 lesions. Conclusions: Our data indicated that prostate volume and P3/total ROIs ratio outperformed PSA density in and were associated with detecting csPCa in P3 lesions. P3/total ROIs ratio could be used to avoid 80.6% of unnecessary biopsies of a P3 lesion in men with multiple ROIs.

scholarly journals The use of prostate specific antigen density to predict clinically significant prostate cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Igor Yusim ◽  
Muhammad Krenawi ◽  
Elad Mazor ◽  
Victor Novack ◽  
Nicola J. Mabjeesh
Keyword(s):  
Prostate Cancer ◽  
Prostate Specific Antigen ◽  
Prostate Biopsy ◽  
Prostate Volume ◽  
Characteristic Curve ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Prostate Adenocarcinoma ◽  
Prostate Specific Antigen Density ◽  
Clinically Significant

AbstractThe purpose of this study was to assess the predictive value of prostate specific antigen density (PSAD) for detection of clinically significant prostate cancer in men undergoing systematic transrectal ultrasound (TRUS)-guided prostate biopsy. We retrospectively analyzed data of men who underwent TRUS-guided prostate biopsy because of elevated PSA (≤ 20 ng/ml) or abnormal digital rectal examination. Receiver operating characteristic curve analysis to compare PSA and PSAD performance and chi-square automatic interaction detector methodologies were used to identify predictors of clinically significant cancer (Gleason score ≥ 7 or international society of urological pathology grade group ≥ 2). Nine-hundred and ninety-two consecutive men with a median age of 66 years (IQR 61–71) were included in the study. Median PSAD was 0.10 ng/ml2 (IQR 0.10–0.22). Prostate adenocarcinoma was diagnosed in 338 men (34%). Clinically significant prostate adenocarcinoma was diagnosed in 167 patients (50% of all cancers and 17% of the whole cohort). The AUC to predict clinically significant prostate cancer was 0.64 for PSA and 0.78 for PSAD (P < 0.001). The highest Youden's index for PSAD was at 0.20 ng/ml2 with 70% sensitivity and 79% specificity for the diagnosis of clinically significant cancer. Men with PSAD < 0.09 ng/ml2 had only 4% chance of having clinically significant disease. The detection rate of clinically significant prostate cancer in patients with PSAD between 0.09 and 0.19 ng/ml2 was significantly higher when prostate volume was less than 33 ml. In conclusion, PSAD was a better predictor than PSA alone of clinically significant prostate cancer in patients undergoing TRUS-guided biopsy. Patients with PSAD below 0.09 ng/ml2 were unlikely to harbor clinically significant prostate cancer. Combining PSAD in the gray zone (0.09–0.19) with prostate volume below 33 ml adds diagnostic value of clinically significant prostate cancer.

One and done?: Utility of PSA density as a predictor of number of cores needed to detect clinically significant prostate cancer.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 104-104
Author(s):  
Graham Hale ◽  
Jonathan Bloom ◽  
Amir H Lebastchi ◽  
Samuel A Gold ◽  
Sherif Mehralivand ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Time Interval ◽  
Targeted Biopsy ◽  
Psa Density ◽  
Biopsy Core ◽  
Multiple Cores ◽  
Specific Factors ◽  
Clinically Significant ◽  
Continuous Predictor

104 Background: MRI/US fusion guided prostate biopsy (FBx) has been shown to detect clinically significant prostate cancer (csCaP) at higher rates and with fewer cores than standard prostate biopsy. However, the number of targeted cores needed to accurately characterize lesions identified on multiparametric MRI (mpMRI) is unknown. This study sought to determine factors that predict the number of cores needed to accurately characterize lesions during FBx of patients on active surveillance. Methods: A retrospective analysis of a prospectively maintained database of all patients undergoing FBx at an academic referral center between May 2014 and January 2018 was conducted. At least two FBx cores were taken from each lesion identified on mpMRI. Patient and lesion specific factors were analyzed to determine factors that predict the necessity to obtain additional cores to detect csCaP. GEE-based univariate logistic regression model with exchangeable correlation was used to estimate the effects of clinical characteristics including race, BMI, PSA, PSA density (PSAD), lesion location, and PI-RADS score on the proportion of positive and negative agreement. Predictability of a significant continuous predictor was quantified by AUC. The most significant patient-level predictor (PSAD) was further analyzed to determine thresholds at which multiple cores per lesion are needed to avoid missing csCaP. Results: An analysis of a total of 1141 FBx were performed during the study time interval. PSA (OR=1.57, 1.20-2.05, p<0.01) and PSAD (OR=1.43, 1.11-1.85, p<0.01) significantly predicted positive agreement of csCaP. AUC for positive and negative agreement was 57.4 and 61.0 for PSA and 56.4 and 72.3 for PSAD, respectively. Using these thresholds, only 56% lesions would need double core targeted biopsy. In other words, up to 44% of lesions would be accurately characterized with a single biopsy core of the targeted lesion. Conclusions: These data indicate that in patients with a PSAD less than 0.11 ng/ml2 or greater than 0.26 ng/ml2, lesions may be acceptably characterized with a single targeted biopsy core.

scholarly journals MRI/US fusion prostate biopsy: Our initial experience

2016 ◽  
Vol 88 (4) ◽  
pp. 296 ◽  
Author(s):  
Vito Lacetera ◽  
Bernardo Cervelli ◽  
Antonio Cicetti ◽  
Giuliana Gabrielloni ◽  
Michele Montesi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Detection Rate ◽  
Prostate Volume ◽  
Initial Experience ◽  
Fusion Biopsy ◽  
Negative Biopsy ◽  
Group A ◽  
Group B ◽  
Target Biopsy

Aim: The objective of this study is to present our initial experience with magnetic resonance imaging/ultrasound (MRI/US) fusion biopsy using the Koelis Trinity device after the first consecutive 59 patients. Materials and methods: 59 consecutive patients with suspected prostate cancer (PCA) underwent prostate biopsy using Trinity Koelis® (Koelis, Grenoble, France). We divided the patients into 2 groups: patients with a previous negative mapping underwent to a MRI/US fusion re-biopsy (Group A); and biopsy-naïve patients who underwent to a first stereotactic 3-D mapping of the prostate (Group B). Group A (22 patients):mean age 64 years (CI 48-73), mean PSA = 7.7 ng/ml (CI 4.2- 9.9); mean prostate volume 55 ml(CI 45-82), Digital Rectal Examination (DRE) positive in 2/22, number of lesions detected by MRI 1.4, mean cores from each MRI target lesion 3 (CI 2-5), mean total cores 15 ( CI 12-19). Group B (37 patients): mean age 66 years (CI 49-77), mean PSA= 4.7 (3.2- 7.9); mean prostate volume 45 ml (33-67), DRE positive in 5/37, mean total cores 14 ( CI 10-16) Results: In Group A 10/22 patients were positive for PCA (overall detection rate of 45.5%): 6 PCA were detected by target biopsy and 4 cancer by random biopsy. Significant prostate cancer (defined as the presence of Gleason pattern 4) was detected in 4/10 patients (Significant PCA detection rate of 40%) and all significant PCA were detected by MRI target biopsy. All PCA detected by random biopsy had Gleason score 3 + 3 = 6. In Group B (biopsy naïve patients) 14/37 patients were positive for PCA (overall detection rate of 37.8%), Significant prostate cancer was detected in 5/14 patients (Significant PCA detection rate of 35,7%). No significant side effects were recorded. Conclusions: Our overall detection rate was 45.5% and 37.8% in Group A (patients with previous negative biopsy and persistent suspicion of PCA) and in Group B (biopsy naïve patients) respectively; clinical significant PCA detection rate was respectively 40% and 35.7%. These results are similar to current literature and promising for the future. We believe that using platforms of co-registered MRI/US fusion biopsy can potentially improve risk stratification and reduces understaging, undergrading and the need for repeat biopsies in biopsy naïve patients (using a stereotactic first mapping) and in patients with previous negative biopsy and persistent suspicion of PCA ( using a second MRI/US fusion biopsy).

scholarly journals Systematic and MRI-Cognitive Targeted Transperineal Prostate Biopsy Accuracy in Detecting Clinically Significant Prostate Cancer after Previous Negative Biopsy and Persisting Suspicion of Malignancy

Medicina ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 57
Author(s):  
Alvydas Vėželis ◽  
Gediminas Platkevičius ◽  
Marius Kinčius ◽  
Liutauras Gumbys ◽  
Ieva Naruševičiūtė ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Specific Antigen ◽  
Transrectal Ultrasound ◽  
Targeted Biopsy ◽  
Negative Biopsy ◽  
Prostate Biopsies ◽  
Clinically Significant ◽  
Systematic Biopsy ◽  
Targeted Biopsies

Background and objectives: Overdiagnosis, overtreatment, and the need for repeated procedures caused by transrectal ultrasound guided prostate biopsies and their related complications places a heavy burden on healthcare systems. This was a prospective cohort validating study to access the clinical accuracy of systematic and MRI-cognitive targeted transperineal prostate biopsies in detecting clinically significant prostate cancer after a previous negative biopsy and persistent suspicion of malignancy. The primary goal was to assess the ability of multiparametric magnetic resonance imaging (mpMRI) to detect clinically significant prostate cancer with an additional goal to assess the diagnostic value of systematic and MRI-cognitive transperineal biopsies. Materials and Methods: In total, 200 patients were enrolled who had rising serum prostate specific antigen (PSA) levels for at least 4 months after a previous negative transrectal ultrasound (TRUS) biopsy. All eligible men underwent 1.5T prostate mpMRI, reported using the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2), followed by a 20-region transperineal prostate systematic biopsy and additional targeted biopsies. Results: Systematic 20-core transperineal prostate biopsies (TPBs) were performed for 38 (19%) patients. Systemic 20-core TPB with additional cognitive targeted biopsies were performed for 162 (81%) patients. Clinically significant prostate cancer (csPC) was detected for 31 (15.5%) patients, of which 20 (64.5%) cases of csPC were detected by systematic biopsy, eight (25.8%) cases were detected by targeted biopsy, and three (9.7%) both by systematic and targeted biopsies. Conclusions: Cognitive mpMRI guided transperineal target biopsies increase the detection rate of clinically significant prostate cancer after a previously negative biopsy. However, in a repeat prostate biopsy setting, we recommend applying a cognitive targeted biopsy with the addition of a systematic biopsy.

scholarly journals Parameters predicting postoperative unilateral disease in patients with unilateral prostate cancer in diagnostic biopsy: a rationale for selecting hemiablative focal therapy candidates

2013 ◽  
Vol 7 (1-2) ◽  
pp. 82 ◽  
Author(s):  
Stavros Sfoungaristos ◽  
Petros Perimenis
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Prostate Volume ◽  
Univariate Analysis ◽  
Specific Antigen ◽  
Focal Therapy ◽  
Biopsy Material ◽  
Surgical Specimen ◽  
Psa Density ◽  
Unilateral Disease

Background: Focal hemiablative therapy for prostate cancer is a new treatment alternative. Unilateral and unifocal disease are its main limitations. The aim of this study was to identify the epidemiological, clinical and pathological parameters that may predict unilateral disease in patients diagnosed with prostate cancer.Methods: We performed a retrospective analysis of patients at our institution between January 2005 and January 2011. Only patients with unilateral disease in prostate biopsy were part of the study. The analysis included age, preoperative prostate-specific antigen (PSA) and its density, prostate volume, biopsy first and second Gleason pattern and Gleason summary, number of biopsy cores, percentage of cancer in biopsy material and the presence of high grade prostatic intraepithelial neoplasia. Their role as potential predictors was evaluated by univariate and multivariate analysis.Results: A total of 161 patients had unilateral disease after prostate biopsy. A significant correlation was found between prostate volume, PSA density and percentage of cancer in biopsy material and the presence of unilateral disease in the surgical specimen. These are the same factors significant in the univariate analysis. The results of the multivariate analysis demonstrated that PSA density (p = 0.015) and percentage of cancer in biopsy material (p = 0.028) are the most significant predictors.Interpretation: Our results demonstrate that PSA density and the percentage of cancer in biopsy cores are significant predictorsfor prostate cancer unilaterality and should be considered for theselection of hemiablative focal therapy candidates.

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