Objective: To evaluate whether specific preoperative variables might better predict the concordance between biopsy and radical prostatectomy (RP) Gleason grade, and to assess the effect of the biopsy Gleason score (bGS) when controlling for the pathological GS (pGS) on clinical outcomes in patients undergoing RP.
Patients And Methods: Between 1989 and 1998, 1088 men had RP at our institution, with a median follow-up of 56 months. To evaluate the independent effect of bGS within categories of pGS, we stratified the sample by pGS (three categories;
Results: Overall, only 41.1% of patients had exactly concordant findings between bGS and pGS; concordance rates did not differ significantly when stratified by preoperative variables. On multivariate analysis, a change in the pGS compared with the bGS had a significant, independent effect on recurrence rates, specifically a 15% change in risk for a one-unit change in GS (P = 0.021).
Conclusions: There was only modest agreement between the bGS and the pGS; the bGS continued to have independent prognostic influence after RP and assignment of the pGS.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1464-410X.2008.07508.x | DOI Listing |
World J Surg Oncol
December 2024
Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: To assess the clinical utility of PCA3 in the diagnostic accuracy, the correlation between PCA3 and biopsy or pathological characteristics and the performance of PCA3 to reduce the unnecessary biopsies in Chinese population.
Methods: A prospective study including patients with indication of prostate biopsies from 4 centers was conducted. All patients underwent PCA3 urine tests and prostate biopsies.
BMC Med Imaging
December 2024
Department of MRI, Xinxiang Central Hospital (The Fourth Clinical College of Xinxiang Medical University), 56 Jinsui Road, Xinxiang, Henan, 453000, China.
Background: To develop and validate an interpretable machine learning model based on intratumoral and peritumoral radiomics combined with clinicoradiological features and metabolic information from magnetic resonance spectroscopy (MRS), to predict clinically significant prostate cancer (csPCa, Gleason score ≥ 3 + 4) and avoid unnecessary biopsies.
Methods: This study retrospectively analyzed 350 patients with suspicious prostate lesions from our institution who underwent 3.0 Tesla multiparametric magnetic resonance imaging (mpMRI) prior to biopsy (training set, n = 191, testing set, n = 83, and a temporal validation set, n = 76).
BMC Med Imaging
December 2024
Department of Radiology, Peking University First Hospital, 8, Xishiku Street, Xicheng District, Beijing, 100034, China.
Background: The apparent diffusion coefficient (ADC) has been reported as a quantitative biomarker for assessing the aggressiveness of upper urinary tract urothelial carcinoma (UTUC), but it has typically been used only with mean ADC values. This study aims to develop a radiomics model using ADC maps to differentiate UTUC grades by incorporating texture features and to compare its performance with that of mean ADC values.
Methods: A total of 215 patients with histopathologically confirmed UTUC were enrolled retrospectively and divided into training and test sets.
Front Immunol
December 2024
Department of Pathology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
The rare gastrointestinal tract epithelial polyp known as a pyloric gland adenoma (PGA) is more common in elderly women and uncommon in the duodenum. There are reports of two PGA cases involving high-grade intraepithelial neoplasia. A 75-year-old man was admitted to the hospital as Patient 1 due to "epigastric distension and pain for more than 10 days".
View Article and Find Full Text PDFEthiop J Health Sci
October 2024
Department of Radiology, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Prostate cancer is a leading cause of cancer-related mortality among men, second only to lung cancer. Prostate magnetic resonance imaging (MRI) utilizing the Prostate Imaging and Reporting Data System (PI-RADS) v2.1 scoring system effectively stratifies patients by risk and correlates significantly with histopathological outcomes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!