Benign prostatic hyperplasia (BPH) and prostate cancer (PCa) are the most common benign and malignant diseases of the prostate gland. The clinical distinction between BPH and PCa should be determined to guide patients to appropriate treatment. We aimed to evaluate the value of PSA, prostate volume (PV) and associated parameters for the detection of PCa in patients with PSA levels of 2.5-30.0 ng/mL. A total of 211 men with a biopsy (≥10 cores) and a PSA of 2.5-30.0 ng/ml were included in the study. To evaluate the performance of PV in diagnosing PCa, subjects were divided into PSA 2.5-10.0 ng/ml and PSA 10.1-30.0 ng/ml groups. Age, BMI, PSA, PV, f/t PSA, PSAD, and biopsy Gleason score were included in the analysis. PCa was diagnosed in 74 (35.1%) of the 211 patients. The differences in f/t PSA, PV, and PSAD for patients with and without PCa were statistically significant. ( < .001). PV was a significantly better indicator of PCa than PSAD and f/t PSA ratio in both groups. PV plays an active role in predicting PCa in patients with PSA in gray-zone as well as in patients with PSA 10.1-30 ng/mL.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/13685538.2019.1578741 | DOI Listing |
Prostate Int
September 2024
Gazi University School of Medicine, Urology Department, Ankara, Turkey.
Aim: To investigate the predictive value of lesion length in multiparametric prostate magnetic resonance imaging with respect to prostate volume for clinically significant prostate cancer diagnosis in targeted biopsies.
Materials And Methods: The data of biopsy-naïve patients in the Turkish Urooncology Association Prostate Cancer Database who underwent targeted prostate biopsies were included in this study. Lesion density is calculated as the ratio of lesion length (mm) in MR to prostate volume (cc).
Prostate Int
September 2024
Erciyes University, Department of Urology, Devision of UroOncology, Kayseri, Turkey.
Background: It has been more than a decade since fusion prostate biopsy (FPB) has been used in the diagnosis of prostate cancer (PCa). Therefore, patients with a previous history of negative FPB and ongoing suspicion of PCa are beginning to emerge. This study investigated whether the first biopsy type (standard or fusion) should be effective in deciding on a second biopsy.
View Article and Find Full Text PDFProstate Int
September 2024
Departments of Urology, All India Institute of Medical Sciences, New Delhi, India.
Introduction: Up to 40% of patients with suspected prostate cancer (PCa) have a negative prebiopsy magnetic resonance imaging (nMRI), and up to 15% of them may have clinically significant PCa (csPCa). The ability to predict the presence of csPCa despite nMRI may help avoid unnecessary biopsies. We aimed to determine the negative predictive value (NPV) of mpMRI, the influence of MRI reporting patterns in clinical practice, and the factors that might predict csPCa among men with an nMRI.
View Article and Find Full Text PDFTransl Androl Urol
December 2024
Department of Urology & The Institute of Applied Lithotripsy Technology, Peking University People's Hospital, Beijing, China.
Background: Bladder cancer (BCa) is one of the most common tumors of the urinary system, imposing a significant societal burden. BCa is categorized into muscle-invasive BCa (MIBC) and non-MIBC (NMIBC) types. Radical cystoprostatectomy (RCP) is the standard treatment for MIBC and refractory NMIBC, but it can lead to serious side effects.
View Article and Find Full Text PDFNarra J
December 2024
Department of Biology, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim, Malang, Indonesia.
is an alga with high fucoxanthin, phlorotannin, fucoidan, sterol, and astaxanthin. The silver nanoparticles of (AgNPs-Fv) are expected to have high antioxidant, anti-collagenase, and antibacterial activities. The aim of this study was to characterize the distribution and size of AgNPs-Fv and determine their antioxidant, anti-collagenase, and antibacterial activities.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!