Background: Historically, endocrine therapy was used in a range of scenarios in patients with rising PSA, both as a treatment for locally advanced non-metastatic prostate cancer and PSA recurrence following curative intended therapy. In the present study the objective was to investigate if chemotherapy added to endocrine therapy could improve progression-free survival (PFS).
Materials And Methods: Patients with hormone-naïve, non-metastatic prostate cancer and rising prostate-specific antigen (PSA), enrolled from Sweden, Denmark, the Netherlands, and Finland, were randomized to long-term bicalutamide (150 mg daily) or plus docetaxel (75 mg/m, q3w, 8-10 cycles) without prednisone, after stratification for the site, prior local therapy or not, and PSA doubling time.
Background: The study aimed to validate the prognostic value of the Prostatype® risk score (P-score), which includes a three-gene signature and conventional risk factors, in a retrospective cohort.
Methods: All 716 patients diagnosed with prostate cancer from 2008 to 2010 at Skåne University Hospital, Sweden, were included. After excluding patients based on pathological and clinical eligibility criteria, RNA quality, and presence of metastases at diagnosis, a final cohort comprising 316 patients was further analyzed.
Background And Purpose: The treatment of biochemical recurrence (BCR) after prostatectomy is challenging as the site of the recurrence is often undetectable. Our aim was to test a personalised treatment concept for BCR based on PSA kinetics during salvage radiotherapy (SRT) combined with prostate-specific membrane antigen positron emission tomography (PSMA-PET).
Materials And Methods: This phase II trial included 100 patients with BCR.
Objective: To introduce salvage prostatectomy in Denmark. Prior to this, no national curative treatment for recurrent prostate cancer following radiation therapy existed in Denmark. This pilot study represent our initial experiences and the feasibility of performing salvage robot-assisted radical prostatectomy for true local, high-risk recurrence after initial therapy with external beam radiation for high-risk prostate cancer.
View Article and Find Full Text PDFMelanomas are often easy to recognize clinically but determining whether a melanoma is (MIS) or invasive is often more challenging even with the aid of dermoscopy. Recently, convolutional neural networks (CNNs) have made significant and rapid advances within dermatology image analysis. The aims of this investigation were to create a CNN for differentiating between MIS and invasive melanomas based on clinical close-up images and to compare its performance on a test set to seven dermatologists.
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