Results 21 to 30 of about 5,042 (130)

Apparent Diffusion Coefficient of Variation (ADCcv): A New Biomarker for Aggressiveness in Prostate Cancer?

open access: yesJournal of Urological Surgery, 2023
Objective: The aim of the study was to evaluate which apparent diffusion coefficient (ADC) parameter can predict the aggressiveness of prostate cancer in patients confirmed by radical prostatectomy specimens. Materials and Methods: Patients who underwent
Aylin Altan Kuş   +2 more
doaj   +1 more source

Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Parameters Could Predict International Society of Urological Pathology Risk Groups of Prostate Cancers on Radical Prostatectomy

open access: yesLife, 2023
Background: The International Society of Urological Pathology (ISUP) grade and positive surgical margins (PSMs) after radical prostatectomy (RP) may reflect the prognosis of prostate cancer (PCa) patients.
Chun-Bi Chang   +8 more
doaj   +1 more source

Study of iron metabolism based on T2* mapping sequences in PI-RADS 3 prostate lesions

open access: yesFrontiers in Oncology, 2023
IntroductionProstate cancer is one of the most common malignant tumors in Chinese men, which is rich in iron metabolic activity and is closely related to all stages of prostate cancer progression. Since the current diagnostic methods are insufficient, we
Wenhao D   +8 more
doaj   +1 more source

PSA AND ITS RELATION TOTHE DEGREE OF DIFFERENTIATION OF PROSTATE CANCER

open access: yesTrakia Journal of Sciences
INTRODUCTION: Prostate-specific antigen (PSA) and Gleason score are two of the most important characteristics of prostate cancer. Their complex and ambiguous connection prompted us to examine it in a series of patients operated in our clinic.
B. Lazarov
doaj   +1 more source

Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness

open access: yesEJNMMI Research, 2021
Background Both prostate-specific membrane antigen (PSMA) uptake and tumour blood flow (TBF) correlate with International Society of Urological Pathology (ISUP) Grade Group (GG) and hence prostate cancer (PCa) aggressiveness. The aim of the present study
Mads Ryø Jochumsen   +6 more
doaj   +1 more source

Diagnostic value of 18F-PSMA-1007 PET/CT for predicting the pathological grade of prostate cancer

open access: yesCancer Biology & Therapy
This study was designed to evaluate the diagnostic efficacy of relevant parameters of 18F-prostate-specific membrane antigen (PSMA)-1007 PET/CT in predicting the pathological grade of primary prostate cancer. Briefly, a prospective analysis was performed
Xiao-Bo Niu   +8 more
doaj   +1 more source

Role of prostate health index to predict Gleason score upgrading and high-risk prostate cancer in radical prostatectomy specimens

open access: yesScientific Reports, 2021
We evaluated the role of prostate health index (PHI) in predicting Gleason score (GS) upgrading in International Society of Urological Pathology Grade Group (ISUP GG) 1 & 2 prostate cancer (PCa) or adverse pathologic outcomes at radical prostatectomy (RP)
Hwanik Kim   +4 more
doaj   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

open access: yesJournal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou   +10 more
wiley   +1 more source

Evaluation of WHO/ISUP Pathological Grading of Clear Cell Renal Cell Carcinoma by CT-based Extracellular Volume Fraction

open access: yesCT Lilun yu yingyong yanjiu
Objective: To investigate the value of computed tomography-based extracellular volume fraction (ECV) for preoperative evaluation of WHO/ISUP pathologic grading of clear cell renal cell carcinoma (ccRCC).
Shubao WANG   +4 more
doaj   +1 more source

Heterogeneity Analyzed by CT‐Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Tumors are highly heterogeneous, and whole‐lesion radiomics analysis is a popular method for extracting texture features that reflect this heterogeneity, which can be used to build models for cancer diagnosis, staging, therapy response evaluation, and prognosis prediction.
Yang Zhang   +2 more
wiley   +1 more source

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