Background Finding the tumor location in the prostate is an essential pathological step for
prostate cancer diagnosis and treatment. The location of the tumor–the laterality–can be …

Statistical modelling, in combination with genome-wide expression profiling techniques, has
demonstrated that the molecular state of the tumour is sufficient to infer its pathological state …

Simple Summary Prostate cancer has very varied appearances when examined under the
microscope, and it is difficult to distinguish clinically significant cancer from indolent disease …

The present study aimed to identify the genes associated with the involvement of adjunct
lymph nodes of patients with prostate cancer (PCa) and to provide valuable information for …

Objectives: Prostate cancer (PCa) is a heterogeneous tumour entity with known
interindividual differences in biological behaviour regarding tumour aggressiveness and …

Abstract Background Prostate cancer (PCa) is the second leading cause of tumor-related
mortality in men. Metastasis from advanced tumors is the primary cause of death among …

Histopathologic features, particularly Gleason grading system, have contributed significantly
to the diagnosis, treatment, and prognosis of prostate cancer for decades. However, prostate …

Objective To develop a new digital biomarker based on the analysis of primary tumour tissue
by a convolutional neural network (CNN) to predict lymph node metastasis (LNM) in a cohort …

Background Slow-growing prostate cancer (PC) can be aggressive in a subset of cases.
Therefore, prognostic tools to guide clinical decision-making and avoid overtreatment of …

Purpose This study aims to combine multiparametric magnetic resonance imaging (MRI)
and digitized pathology with machine learning to generate predictive maps of histologic …