AIMC Topic: Prostatic Neoplasms

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[Simple Methods to Prevent Postoperative Inguinal Hernia after Extraperitoneal and Transperitoneal Robot-Assisted Radical Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica
Herein we present simple methods to prevent postoperative inguinal hernia (IH) after extraperitoneal and transperitoneal robot-assisted radical prostatectomy (RARP). Among 275 patients who underwent RARP between January 2014 and December 2016 at our ...

[Risk factors for postoperative intestinal obstruction in patients undergoing robot-assisted laparoscopic radical prostatectomy].

Zhonghua yi xue za zhi
To analyze the risk factors of postoperative intestinal obstruction (POI) in patients undergoing robot-assisted laparoscopic radical prostatectomy (RARP). The clinical data of 573 patients receiving RARP from January to December 2019 in Nanjing Dru...

[Application of artificial intelligence combined with multi-parametric MRI in the early diagnosis of prostate cancer].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: To explore the value of artificial intelligence combined with multi-parametric MRI (AI-mpMRI) in the early diagnosis of prostate cancer.

[Necessity of Pelvic Drain Placement after Robot-Assisted Radical Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica
Sixty eight patients had robot-assisted radical prostatectomy (RARP) from January 2016 to April 2017 with estimated blood loss of less than 500 ml. We compared the postoperative complication rates and the length of hospital stay between 34 of these p...

An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.

The Lancet. Digital health
BACKGROUND: There is high demand to develop computer-assisted diagnostic tools to evaluate prostate core needle biopsies (CNBs), but little clinical validation and a lack of clinical deployment of such tools. We report here on a blinded clinical vali...

Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer.

Studies in health technology and informatics
We developed a deep learning approach for accurate prediction of PCA patients one year earlier with minimal features from electronic health records. The area under the receiver operating curve for prediction of PCA was 0.94. Moreover, the sensitivity...

The study of multiple diagnosis models of human prostate cancer based on Taylor database by artificial neural networks.

Journal of the Chinese Medical Association : JCMA
BACKGROUND: Prostate cancer (PCa) is the most common malignancy seen in men and the second leading cause of cancer-related death in males. The incidence and mortality associated with PCa has been rapidly increasing in China recently.

[Efficacy of Neoadjuvant Endocrine Therapy for Prostate Ductal Carcinoma with Large Multiple Cysts Prior to Robot-Assisted Laparoscopic Radical Prostatectomy].

Hinyokika kiyo. Acta urologica Japonica
A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compressing the prostate on the right ventral side on pelvic magnetic resonance imaging (MRI). The prostate specific antigen (PSA) level was 6.47 ng/ml. Pros...