AIMC Topic:
Prostatic Neoplasms

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A Performance Comparison on the Machine Learning Classifiers in Predictive Pathology Staging of Prostate Cancer.

Studies in health technology and informatics
This study objectives to investigate a range of Partin table and several machine learning methods for pathological stage prediction and assess them with respect to their predictive model performance based on Koreans data. The data was used SPCDB and ...

An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification.

Oncotarget
Preoperatively predict the probability of Prostate cancer (PCa) biochemical recurrence (BCR) is of definite clinical relevance. The purpose of this study was to develop an imaging-based approach in the prediction of 3-years BCR through a novel suppor...

The co-regulators SRC-1 and SMRT are involved in interleukin-6-induced androgen receptor activation.

European cytokine network
BACKGROUND: The androgen receptor (AR) can be stimulated by interleukin-6 (IL-6) in the absence of androgens to induce prostate cancer progression. The purpose of this study was to investigate whether the co-activator steroid receptor coactivator-1 (...

Retzius Space Preservation Technique for Robotic-Assisted Laparoscopic Radical Prostatectomy in a Kidney Transplant Patient: First Case in Thailand and Our First Experience.

Transplantation proceedings
OBJECTIVE: The aim of this work was to report our experience in robotic-assisted laparoscopic radical prostatectomy for the treatment of localized prostate cancer in a kidney transplant recipient.

Prophylactic Robotic-assisted Laparoscopic Radical Prostatectomy for Preoperative Suspicion of Prostate Cancer: Experience with 55 Cases.

Anticancer research
BACKGROUND/AIM: Expanded indications are not yet reported for robotic-assisted laparoscopic radical prostatectomy (RARP) performed by experienced surgeons for patients with preoperative suspicion of prostate cancer. We report our experience with 55 c...