Usefulness of PSA Density and PSA Excess in the Differential Diagnosis between Prostate Cancer and Benign Prostatic Hypertrophy

1996 ◽  
Vol 11 (1) ◽  
pp. 12-17 ◽  
Author(s):  
F. Diaz ◽  
M. Morell ◽  
G. Rojo
Keyword(s):  
Prostate Cancer ◽  
Cancer Diagnosis ◽  
Predictive Value ◽  
Prostatic Cancer ◽  
Digital Rectal Examination ◽  
Benign Prostatic Hypertrophy ◽  
Transitional Zone ◽  
Prostatic Hypertrophy ◽  
Diagnostic Efficacy ◽  
Psa Density

The usefulness of PSA density (PSAD) was evaluated in relation to the volume of the transitional zone (PSAT) and PSA excess. With this purpose we conducted a study including 27 patients diagnosed as having prostatic cancer (PC) and 46 patients with benign prostatic hypertrophy (BPH). In all of them, the PSA concentration in the serum was determined as well as the total prostatic volume and the transitional zone volume; digital rectal examination (DRE) was also performed. The major diagnostic efficacy was obtained with the excess of PSA (73%, cutoff = -13 ng/ml), followed by DRE (68%), PSAT (64%, cutoff = 0.5), PSAD (64%, cutoff = 0.2), and lastly PSA and ultrasonography (60%). Multivariate analysis (logistic regression) demonstrated PSA excess and DRE to be the best predictors. The model obtained by regression shows the best positive predictive value, and PSA excess the best negative predictive value. Consequently, PSA excess could be relevant in prostate cancer diagnosis.

scholarly journals Is PSA density of the peripheral zone as a useful predictor for prostate cancer in patients with gray zone PSA levels?

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jaegeun Lee ◽  
Seung Woo Yang ◽  
Long Jin ◽  
Chung Lyul Lee ◽  
Ji Yong Lee ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Diagnosis ◽  
Prostate Biopsy ◽  
Peripheral Zone ◽  
Transitional Zone ◽  
Gray Zone ◽  
Prostate Cancer Diagnosis ◽  
Psa Density ◽  
Diagnosis Group ◽  
Predictive Rate

Abstract Background Serum prostate-specific antigen (PSA) is widely used in screening tests for prostate cancer. As the low specificity of PSA results in unnecessary and invasive prostate biopsies, we evaluated the clinical significance of various PSAs and PSA density (PSAD) related to peripheral zones in patients with gray zone PSA level (4–10 ng/mL). Methods A total of 1300 patients underwent transrectal ultrasonography-guided prostate biopsy from 2014 to 2019. Among them, 545 patients in the gray zone were divided into the prostate cancer diagnosis group and the non-prostate cancer diagnosis group, and PSA, relative extra transitional zone PSA (RETzPSA), estimated post holmium laser enucleation of the prostate PSA (EPHPSA), PSAD, peripheral zone PSA density (PZPSAD) and extra-transitional zone density (ETzD) were compared and analyzed using receiver-operating characteristics (ROC) analysis after 1:1 matching using propensity score. Results Area under the ROC curve values of PSA, EPHPSA, RETzPSA, PSA density, ETzD, and PZPSAD were 0.553 (95% CI: 0.495–0.610), 0.611 (95% CI: 0.554–0.666), 0.673 (95% CI: 0.617–0.725), 0.745 (95% CI: 0.693–0.793), 0.731 (95% CI: 0.677–0.780) and 0.677 (95% CI: 0.611–0.719), respectively. PSAD had 67.11% sensitivity, 71.71% specificity, and 70.34% positive predictive rate at 0.18 ng/mL/cc. ETzD had 69.08% sensitivity, 64.47% specificity, and 66.04% positive predictive rate at 0.04 ng/mL/cc. When the cut-off value of PSAD was increased to 0.18 ng/mL/cc, the best results were obtained with an odds ratio of 5.171 (95% CI: 3.171–8.432), followed by ETzD with 4.054 (95% CI: 2.513–6.540). Conclusions These results suggested that volume-adjusted parameters (ETzD and PSAD) might be more sensitive and accurate than various PSA in gray zone patients who required prostate biopsy to reduce unnecessary biopsy.

scholarly journals The Study for Accuracy Assessment of Free PSA Density for Prostate Cancer Detection in Male Patients with High PSA

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Noppakulsatit P
Keyword(s):  
Prostate Cancer ◽  
Cancer Detection ◽  
Predictive Value ◽  
Screening Tool ◽  
Prostate Gland ◽  
Digital Rectal Examination ◽  
Serum Free ◽  
Prostate Cancer Detection ◽  
Psa Density ◽  
Free Psa

Background: Prostate cancer detection is currently based on serum PSA with a digital rectal examination which is neither specific nor sensitive, which caused many unnecessary prostate gland biopsies that are highly expensive and can result in unwanted complications. Serum free PSA increases with a larger prostate gland,yet declines with a gland that contains cancer cells, thus prompting the hypothesis that calculating the ratio of serum free PSA against prostate gland volume provides the so-called “free PSA density” which can be utilized to improve prostate cancer detection. Methods: Male participants were deemed eligible if they are at risk of prostate cancer with a PSA level of 4-10 ng/dL and aged between 50-75 years. Serum PSA and serum free PSA were obtained concurrently, followed by transrectal ultrasonography for prostate volume calculation and biopsy of the gland. Also reported are the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and receiver operating characteristic(ROC) with area under the ROC curve(AUC) of serum PSA, %free PSA ratio, free PSA density and PSA density. The AUC of the variables were compared with the free PSA density and reported. Results: The free PSA density cut point values which provided the highest accuracy was 0.025mg/mL/cc, which had 61.5% sensitivity and 67.25% specificity. The ROC results indicate that %free PSA ratio had the best AUC at 0.86. Free PSA density and PSA density have AUC at 0.65 and 0.61, respectively. Meanwhile, serum PSA had the worst AUC of 0.54. The researchers also calculated different AUCs of other variables to free PSA density. Finally, the AUC of free PSA density was significantly better than the reference standard tool serum PSA (p=0.022). Conclusions: Prostate cancer is an emerging cancer among elderly men. Frequent use of serum PSA as a screening tool allows earlier diagnosis of this cancer but with the expensive of unnecessary further investigations. Most novel and promising tools are too expensive to be used as a generalized screening tool. From this study, free PSA density may be a reasonable alternative tool for detection of prostate cancer.

scholarly journals Is PSA Density of the Peripheral Zone as a Useful Predictor for Prostate Cancer in Patients With Gray Zone PSA Levels?

2020 ◽  
Author(s):  
Jaegeun Lee ◽  
Seung Woo Yang ◽  
Long Jin ◽  
Chung Lyul Lee ◽  
Ji Yong Lee ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Diagnosis ◽  
Prostate Biopsy ◽  
Peripheral Zone ◽  
Transitional Zone ◽  
Gray Zone ◽  
Prostate Cancer Diagnosis ◽  
Psa Density ◽  
Diagnosis Group ◽  
Predictive Rate

Abstract BackgroundSerum prostate-specific antigen (PSA) is widely used in screening tests for prostate cancer. As the low specificity of PSA results in unnecessary and invasive prostate biopsies, we evaluated the clinical significance of various PSAs and PSA density (PSAD) related to peripheral zones in patients with gray zone PSA level (4-10 ng/mL).MethodsA total of 1,300 patients underwent transrectal ultrasonography-guided prostate biopsy from 2014 to 2019. Among them, 545 patients in the gray zone were divided into the prostate cancer diagnosis group and the non-prostate cancer diagnosis group, and PSA, relative extra transitional zone PSA (RETzPSA), estimated post holmium laser enucleation of the prostate PSA (EPHPSA), PSAD, peripheral zone PSA density (PZPSAD) and extra-transitional zone density (ETzD) were compared and analyzed using receiver-operating characteristics (ROC) analysis after 1:1 matching using propensity score.ResultsArea under the ROC curve values of PSA, EPHPSA, RETzPSA, PSA density, ETzD, and PZPSAD were 0.553 (95% CI: 0.495-0.610), 0.611 (95% CI: 0.554-0.666), 0.673 (95% CI: 0.617-0.725), 0.745 (95% CI: 0.693-0.793), 0.731 (95% CI: 0.677-0.780) and 0.677 (95% CI: 0.611-0.719), respectively. PSAD had 67.11% sensitivity, 71.71% specificity, and 70.34% positive predictive rate at 0.18 ng/mL/cc. ETzD had 69.08% sensitivity, 64.47% specificity, and 66.04% positive predictive rate at 0.04 ng/mL/cc. When the cut-off value of PSAD was increased to 0.18 ng/mL/cc, the best results were obtained with an odds ratio of 5.171 (95% CI: 3.171-8.432), followed by ETzD with 4.054 (95% CI: 2.513-6.540).ConclusionsThese results suggested that volume-adjusted parameters (ETzD and PSAD) might be more sensitive and accurate than various PSA in gray zone patients who required prostate biopsy to reduce unnecessary biopsy.

Diagnostic accuracy of Multiparametric MRI in detection of prostate cancer compared with histopathology obtained by MRI directed TRUS guided cognitive fusion biopsy are T2WI, DWI and DCE enough for Indian scenario

2021 ◽  
Vol 20 (1) ◽  
pp. 10-12
Author(s):  
Mallinath Biradar ◽  
Keyword(s):  
Prostate Cancer ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Prostatic Cancer ◽  
Tertiary Care ◽  
Multiparametric Mri ◽  
Care Hospital ◽  
Cognitive Fusion ◽  
Fusion Biopsy ◽  
Indian Scenario

Background: The incidence of prostatic carcinoma is increasing worldwide. With its high resolution, ability to provide excellent tissue characterization and multiplanar imaging capabilities, multi-parametric magnetic resonance imaging (mpMRI) plays a crucial role in detection, local staging and follow-up of carcinoma prostate. It also helps guide targeted biopsies in initial biopsy negative patient. Objectives: Study diagnostic accuracy of mp-MRI and primarily that of the three MR sequences T2, DWI and DCE in detection of prostatic cancer by correlating them with histopathology and thus whether it is feasible for a short MRI of 3 sequences to be used on a large scale in Indian scenario. Materials and Methods: A prospective study was done at a tertiary care hospital between April 2017 to November 2018 in which 50 patients who presented with suspicion of prostate cancer were referred to radiology department for evaluation using MRI. MRIexamination was done using 3T Siemens Magnetom Verio. Followed by this MRI directed TRUS guided cognitive fusion biopsy was done from the prostate. Samples were sent for histopathology. Results: Out of 50 cases studied, 24 cases (48%) were found to be malignant and 26 cases (52 %) were benign on histopathology. In our study, combined T2 + DWI + DCE gave sensitivity of 95.83 %, specificity of 57.69%, positive predictive value of 68.21 % and negative predictive value of 93.75%. Conclusion: Multiparametric MRI using T2, DWI and DCE has a high diagnostic accuracy for evaluation of prostatic cancer.

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.

scholarly journals Importance of prostate volume for detection of prostate cancer by first sextant biopsy in high-risk patients

Medicina ◽  
2007 ◽  
Vol 43 (4) ◽  
pp. 285 ◽  
Author(s):  
Kęstutis Vaičiūnas ◽  
Stasys Auškalnis ◽  
Aivaras Matjošaitis ◽  
Darius Trumbeckas ◽  
Mindaugas Jievaltas
Keyword(s):  
Prostate Cancer ◽  
High Risk ◽  
Transition Zone ◽  
Prostate Biopsy ◽  
Prostate Volume ◽  
Specific Antigen ◽  
Digital Rectal Examination ◽  
Transitional Zone ◽  
Antigen Level ◽  
Sextant Biopsy

The aim of this study was to evaluate the relevance of prostate gland volume, transitional zone volume, and transitional zone index for the detection of prostate cancer by the first sextant biopsy. Material and methods. A total of 121 men with high risk of prostate cancer were included in our study (prostate-specific antigen level higher than 4 ng/mL and/or pathological digital rectal examination). We consulted the patients in Outpatient Department of Kaunas University of Medicine Hospital during 2003–2006. Total prostate volume and transition zone volume were measured, and all patients underwent transrectal ultrasoundguided sextant biopsy of the prostate. According to histological results of prostate biopsy, patients were divided into two groups: benign group (benign prostate hyperplasia and high-grade intraepithelial neoplasia) and prostate cancer group. Statistical analysis was made by SPSS (Statistical Package for Social Sciences) 12.0.1 for Windows. Results. After histological examination, prostate cancer was detected in 20.7% of patients (n=25). Prostate cancer was found in 24.6% of patients with a total prostate volume of less than 60 cm3 and only in 8.2% of patients with a total prostate volume greater than 60 cm3 (P=0.026). Prostate cancer was found in 27.1% of patients with transition zone volume smaller than 30 cm3 and only in 7.5% of patients with transition zone volume greater than 30 cm3 (P=0.007). A statistically significant difference was found when patients were divided into the groups according to transition zone index: when transition zone index was lower than 0.45, prostate cancer was detected in 37.1% of patients, and when transition zone index was higher than 0.45, prostate cancer was observed in 9.1% of patients (P=0.001). The possibility to detect prostate cancer was 5.9 times higher in patients with transition zone index lower than 0.45. Conclusions. Prostate cancer detection rate by first sextant prostate biopsy in patients with elevated prostate-specific antigen level and/or pathological digital rectal examination was higher when total prostate volume was less than 60 cm3, transition zone was less than 30 cm3, and transition zone index was less than 0.45.

Excretion of Three Major Prostatic Secretory Proteins in the Urine of Normal Men and Patients With Benign Prostatic Hypertrophy or Prostate Cancer

1987 ◽  
Vol 138 (6) ◽  
pp. 1482-1483
Author(s):  
J. Tremblay ◽  
G. Frenette ◽  
R.R. Tremblay ◽  
A. Dupont ◽  
M. Thabet ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Benign Prostatic Hypertrophy ◽  
Prostatic Hypertrophy ◽  
Secretory Proteins ◽  
Normal Men

A circulating miRNA signature to help prognosticate at prostate cancer diagnosis.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 108-108 ◽  
Author(s):  
Ailsa Roberg Sita-Lumsden ◽  
Damien Leach ◽  
Andrea Zivi ◽  
Jonathan Waxman ◽  
Mathias Winkler ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Diagnosis ◽  
Survival Rates ◽  
Benign Prostatic Hypertrophy ◽  
Serum Levels ◽  
The Cancer Genome Atlas ◽  
Prostate Cancer Diagnosis ◽  
Circulating Mirna ◽  
Clinically Significant ◽  
Prostate Cancers

108 Background: Prostate cancer (PCa) is the most commonly diagnosed cancer in men. Around 80% of PCas are diagnosed as early, localised stage yet a subset of these will metastasise and eventually prove fatal. Management decisions are based on risk stratification systems. However, these systems are not able to clearly distinguish indolent from aggressive PCa’s and as a result many patients with indolent cancers may be over treated. Circulating microRNAs (miRNA) may be an easily accessible, suitable biomarker to distinguish true indolent from clinically significant early prostate cancers (PCa) thus reducing overtreatments. Methods: Blood samples from 24 men with benign prostatic hypertrophy (BPH, n = 8), localised PCa (n = 8) or metastatic PCa (n = 8) were collected at time of diagnosis. All men had intact prostates and were naïve to any endocrine or other cancer therapy. A platform of circulating miRNAs were analysed in serum using Abcam Firefly technology. Data collected were independently verified using real-time qPCR (Exiqon). The miRNAs identified as being significantly different between groups were then analysed in a published dataset. Results: Serum levels of seven of the miRs examined were significantly different in patients with prostate cancer compared to control across both platforms (miR-10b, miR-125b, miR-210, miR-21, miR-378a, miR-483 and miR93 all with P values < 0.005). A further four miRNAs could differentiate between the benign and metastatic cohorts (miR-126 P = 0.008, miR-150 P = 0.05, miR375 P = 0.007). Kaplein-Meier analysis further identified that the serum levels of four miRNAs showed significant association with survival rates (miR-21 P = 0.032, miR-126 P = 0.032, miR-150 P = 0.032, miR-93 P = 0.019). On examination in a cohort of 280 men from The Cancer Genome Atlas (TCGA), four miRs from the cohort had significantly different expression in patients who eventually relapsed (miR-21 P = 0.048, miR-375 P = 0.021, miR-210 P = 0.0003, miR-93 P = 0.008) Conclusions: Our circulating miRNA based signature could be used to stratify men at prostate cancer diagnosis and help identify those who are likely to harbour micro metastases and would benefit more from an early radical treatment. The data is being validated in larger cohorts.

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