前列腺切除术
前列腺癌
医学
手术切缘
边距(机器学习)
生化复发
泌尿科
癌症
内科学
计算机科学
机器学习
作者
I. Sh. Byadretdinov,С. В. Котов
出处
期刊:Urologiâ
[Bionika Media]
日期:2023-03-20
卷期号:1_2023: 106-113
被引量:2
标识
DOI:10.18565/urology.2023.1.106-113
摘要
Determining and evaluation of predictors of biochemical recurrence (BCR) is one of the essential aim, which may help to achieve the most effective treatment of prostate cancer. Obviously, positive surgical margins represent an independent risk factor for BR following radical prostatectomy. The development of methods determining the status of the surgical margin during surgery is an important direction which can upgrade the effectiveness of prostate cancer treatment.Moreoverit is relevant to review modern methods for diagnosing the status of the surgical margin during radical prosta-tectomy. This article presents a systematic review carried out at the Department of Urology and Andrology of Pirogov Russian National Research Medical University. In September 2021, we performed a PubMed/ Web of Science search to include articles published in 1995-2020 evaluating the key words "prostate cancer", "surgical margin", "radical prostatectomy", "biochemical recurrence", "methods for determining the surgical margin". Nowadays the following technologies have been developed and being actively studied: the usage of aminolevulinic acid, optical coherence tomography, optical spectroscopy, confocal laser microscopy, 3D augmented reality, 3D modeling, the study of frozen samples.
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