Results 171 to 180 of about 105,659 (312)
Chronic Pruritic Papular Eruption in an Elderly Man
JEADV Clinical Practice, EarlyView.
Filipe Monteiro +6 more
wiley +1 more source
ABSTRACT Background Outcomes of metastatic castration‐resistant prostate cancer (mCRPC) treated with androgen receptor signaling inhibitors (ARSIs) vary widely and may not be fully reflected by PSA and standard clinicopathologic factors. We evaluated the prognostic value of serum neuron‐specific enolase (NSE) at baseline and early on‐treatment dynamics.
Ondřej Fiala +11 more
wiley +1 more source
Antibiotic prophylaxis for transperineal prostate biopsy. [PDF]
Xiao YT +9 more
europepmc +1 more source
ABSTRACT Purpose Systematic biopsy (SB) remains recommended in addition to MRI‐targeted biopsy (TB) because TB alone may miss clinically significant prostate cancer (sPC). We evaluated the spatial distribution of sPC and clinically insignificant prostate cancer (iPC) detected by SB in relation to MRI lesions and assessed the effect of perilesional ...
Ruth Himmelsbach +4 more
wiley +1 more source
Diagnostic Performance of Perineal MRI-US Fusion Prostate Biopsy: A Single-Center Prospective Cohort Analysis. [PDF]
Gurcan M +8 more
europepmc +1 more source
ABSTRACT Background The introduction of novel androgen receptor signaling inhibitors (ARSIs) has substantially transformed the systemic treatment landscape for non‐metastatic castration‐resistant prostate cancer (nmCRPC). Unfortunately, ARSI therapy is associated with considerable adverse events (AEs) and high medical costs.
Himawari Asanuma +18 more
wiley +1 more source
The Added Value of Systematic Biopsy in Biopsy-Naïve Patients Undergoing Magnetic Resonance Imaging-Transrectal Ultrasound Fusion Prostate Biopsy. [PDF]
Sawazaki H +3 more
europepmc +1 more source
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar +5 more
wiley +1 more source
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source

