Application of Dual-Energy Computer Tomography in Diagnostics of Urolithiasis

Kapanadze, L.B.; Серова, Н.С.; Rudenko, V I

doi:10.21569/2222-7415-2017-7-3-165-173

Rejr

2017

DOI: 10.21569/2222-7415-2017-7-3-165-173

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Application of Dual-Energy Computer Tomography in Diagnostics of Urolithiasis

L.B. Kapanadze¹,

Н.С. Серова²,

V I Rudenko³

Abstract: очекаменная болезнь (МКБ) -одно из наиболее распространѐнных урологи-ческих заболеваний и встречается не менее чем у 3% населения, причем наиболее часто у лиц в трудоспособном возрасте -30-50 лет. С учетом акту-альности заболевания, разработка и усовершенствование новых методов диагностики приобретают огромную социальную значимость. Ключевую роль в диагно-стике мочекаменной болезни играют лучевые методы визуализации. В настоящее время широко обсуждаются вопросы применения двухэнергетической компьютерной томо-г… Show more

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Cited by 2 publications

References 41 publications

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Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space

Vasilev,

Vladzymyrskyy,

Arzamasov

et al. 2024

Digital Diagnostics

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Radiology has undergone several significant changes in recent years. Technologies based on computer vision are being actively introduced and allow improving and accelerating the diagnosis of many diseases, as well as reducing the burden on medical personnel. At the same time, these technologies have already proven their effectiveness in routine practice in the analysis of X-ray studies of the mammary glands and chest organs. Also recently, solutions have appeared for the search, qualitative and quantitative evaluation of such common pathologies as urolithiasis and volumetric formations in the parenchyma of the liver and kidneys with a sufficiently high accuracy. Currently, there are many different architectures of deep learning networks and computer vision algorithms that allow identifying and classify the pathology of the abdominal organs. At the same time, all models can be divided into algorithms that distinguish (segment) pathology and algorithms that allow classification of the pathology of the abdominal organs. This review evaluates the existing computer vision algorithms used in computed tomography of the abdominal organs, determines the main directions of their development, and provides prospects for application in medical organizations.

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Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space

Vasilev,

Vladzymyrskyy,

Arzamasov

et al. 2024

Digital Diagnostics

View full text Add to dashboard Cite

show abstract

Experience of Using Dual-Energy Computed Tomography in Patient With Urolithiasis

Kapanadze¹,

Серова²,

Rudenko³

et al. 2018

Medicinskaâ vizualizaciâ

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We presented a clinical case of dual-energy computed tomography in a patient with urolithiasis. Was performed a complex evaluation of the specific parameters obtained in dual-energy computed tomography: dual-energy ratio, dual-energy difference, dual-energy index, Z effective and the chemical composition of the urinary stone in a patient in vivo to determine the tactics of surgical treatment and metaphylaxis.

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Application of Dual-Energy Computer Tomography in Diagnostics of Urolithiasis

Cited by 2 publications

References 41 publications

Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space

Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space

Experience of Using Dual-Energy Computed Tomography in Patient With Urolithiasis

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