The progress of preoperative and intraoperative urinary calculi analysis
10.3760/cma.j.cn112330-20220812-00462
- VernacularTitle:术前和术中泌尿系结石成分分析的研究进展
- Author:
Bixiao WANG
1
;
Lei LIANG
;
Jinting LI
;
Yubao LIU
;
Yuxiang XING
;
Bo XIAO
;
Weiguo HU
;
Jianxing LI
Author Information
1. 清华大学附属北京清华长庚医院泌尿外科 清华大学临床医学院，北京 102218
- Keywords:
Urinary calculi;
Stone analysis;
Composition analysis;
Dual-energy CT;
Machine learning
- From:
Chinese Journal of Urology
2023;44(6):471-475
- CountryChina
- Language:Chinese
-
Abstract:
The incidence and recurrence rates of urinary stone diseases have remained high recently, and stone analysis is of great significance for further understanding of the pathophysiological processes of urinary stones and to develop effective prevention strategies and precise treatment. Imaging evaluation is the main method of preoperative stone analysis, and dual-energy CT has shown its potential in identifying common main components of stones. The emergence of photon counting spectral CT is expected to achieve accurate analysis of stone components at the pixel level. The intraoperative stone analysis mainly relies on the automatic recognition of endoscopic images, and using machine learning algorithms can more reliably predict common stone composition. It is of great significance for stone analysis and assessment of metabolic causes by introducing morpho-constitutional classification (MCC)and observing and describing the papillary renal lesions during operation. This article reviews the progress of preoperative and intraoperative stone analysis, in order to improve clinicians' understanding of the importance of stone analysis, and provide a direction for further clinical research.
