AIMC Topic: Prostate

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Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis.

Radiology. Artificial intelligence
Purpose To develop an MRI-based model for clinically significant prostate cancer (csPCa) diagnosis that can resist rectal artifact interference. Materials and Methods This retrospective study included 2203 male patients with prostate lesions who unde...

[Functional outcomes of robot-assisted radical prostatectomy with preservation of pelvic stabilized structure and early elevated retrograde liberation of neurovascular bundle].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To examine the functional outcomes of robot-assisted radical prostatectomy (RARP) with preservation of pelvic floor stabilized structure and early elevated retrograde liberation of the neurovascular bundle (PEEL). This study was a retrospective coh...

[Technological development of robot-assisted radical prostatectomy].

Zhonghua wai ke za zhi [Chinese journal of surgery]
The surgical outcomes of robot-assisted radical prostatectomy have shown remarkable improvement over the last two decades since its advent, due to advances in surgical concepts, techniques, and equipment. Today, ongoing research aims to compare the b...

Prostate Segmentation in MRI Images using Transfer Learning based Mask RCNN.

Current medical imaging
INTRODUCTION: The second highest cause of death among males is Prostate Cancer (PCa) in America. Over the globe, it's the usual case in men, and the annual PCa ratio is very surprising. Identical to other prognosis and diagnostic medical systems, dee...

Is the learning curve of the urology resident for conventional radical prostatectomy similar to that of staff initiating robot-assisted radical prostatectomy?

International braz j urol : official journal of the Brazilian Society of Urology
INTRODUCTION: The superiority of the functional results of robot-assisted radical prostatectomyis still controversial. Despite this, it is known that minimally invasive surgery obtains better results when analyzing blood loss, blood transfusion and l...

Correlation Attention Registration Based on Deep Learning from Histopathology to MRI of Prostate.

Critical reviews in biomedical engineering
Deep learning offers a promising methodology for the registration of prostate cancer images from histopathology to MRI. We explored how to effectively leverage key information from images to achieve improved end-to-end registration. We developed an a...

Airway leakage due to malpositioning of esophageal temperature probe during robot-assisted radical prostatectomy: a case report.

The Journal of international medical research
Measuring patients' core body temperature during surgery is essential and commonly performed with an esophageal temperature probe. The probe must be placed in the lower third of the esophagus for accurate measurement. In this case report, we describe...

Salvage robot-assisted radical prostatectomy after carbon ion radiotherapy to the prostate.

Asian journal of endoscopic surgery
PURPOSE: This study presents the surgical and oncological outcomes of salvage robot-assisted radical prostatectomy (RARP) after carbon ion radiotherapy at a single institution.

The importance of periprostatic fat tissue thickness measured by preoperative multiparametric magnetic resonance imaging in upstage prediction after robot-assisted radical prostatectomy.

Investigative and clinical urology
PURPOSE: We analyzed the surgical results of patients who were treated and followed up for prostate cancer in our clinic to predict the relationship between periprostatic adipose tissue and patients with and without pathologically upstaged disease.

[Application of artificial intelligence in the diagnosis of prostate cancer].

Zhonghua nan ke xue = National journal of andrology
With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, the continuous expansion the collective push from many other the application of Artificial Intelligence (AI) in prostate cancer diagnosis is increasingl...