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Journal of radiology and nuclear medicine

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Possibilities of liver density estimation according to noncontrast computed tomography

https://doi.org/10.20862/0042-4676-2020-101-1-58-66

Abstract

With allowance made for the widespread prevalence of diffuse liver diseases, non-alcoholic fatty liver disease in particular, there is a need for the most objective evaluation of the state of this organ. One of the most important criteria for this evaluation is to estimate liver tissue density values. Today, the introduction of programs, such as lung cancer screening using low-dose computed tomography, has made it possible to conduct mass surveys in this area. This literature review deals with the advantages and disadvantages of computed tomography in detecting diffuse liver lesions.

About the Authors

A. P. Gonchar
Moscow Center for Diagnostics & Telemedicine; Russian Medical Academy of Continuous Professional Education, Ministry of Health of the Russian Federation
Russian Federation

Anna P. Gonchar, Junior Researcher, Moscow Center for Diagnostics & Telemedicine, Resident, Russian Medical Academy of Continuous Professional Education, Ministry of Health of the Russian Federation

ul. Srednyaya Kalitnikovskaya, 28, stroenie 1, Moscow, 109029, 

ul. Barrikadnaya, 2/1, stroenie 1, Moscow, 125993



V. A. Gombolevskij
Moscow Center for Diagnostics & Telemedicine
Russian Federation

Viktor A. Gombolevskiy, Cand. Med. Sc., Head of Department of Development of Quality of Radiology

ul. Srednyaya Kalitnikovskaya, 28, stroenie 1, Moscow, 109029



A. B. Elizarov
Moscow Center for Diagnostics & Telemedicine
Russian Federation

Aleksey B. Elizarov, Cand. Phys.–Math. Sc., Senior Researcher

ul. Srednyaya Kalitnikovskaya, 28, stroenie 1, Moscow, 109029



N. S. Kulberg
Moscow Center for Diagnostics & Telemedicine; Federal Research Center Informatics and Management of the Russian Academy of Sciences
Russian Federation

Nikolay S. Kulberg, Cand. Phys.–Math. Sc., Head of Department of medical imaging development, Moscow Center for Diagnostics & Telemedicine, Federal Research Center Informatics and Management of the Russian Academy of Sciences

ul. Srednyaya Kalitnikovskaya, 28, stroenie 1, Moscow, 109029,

ul. Vavilova, 44, korpus 2, Moscow, 119333



M. M. Suleymanova
Federal state budgetary educational institution of additional professional education «Central State Medical Academy», General Management Department of the Presidential Administration of the Russian Federation
Russian Federation

Maria M. Suleymanova, resident

ul. Marshala Timoshenko, 19, stroenie 1A, Moscow, 121359



T. I. Alekseeva
Center for Healthcare Quality Assessment and Control of the Ministry of Health of the Russian Federation;
Russian Federation

Tatiana I. Alekseeva, Specialist of the Medical Standardization Department

Khokhlovsky lane, 10, stroenie 5, Moscow, 109028, 



D. A. Chernyshev
N.I. Pirogov Russian National Research Medical University, Ministry of Health of the Russia
Russian Federation

Dmitry A. Chernyshev, resident

ul. Ostrovityanova, 1, Moscow, 117997



M. Yu. Titov
City Clinical Hospital named after S.P. Botkin, Department of Health of Moscow
Russian Federation

Mikhail Yu. Titov, radiologist

Vtoroy Botkinskiy proezd, 5, Moscow, 125284



T. A. Levina
I.M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation
Russian Federation

Tatiana A. Levina, resident

ul. Trubetskaya, 8, stroenie 2, Moscow, 119991



V. Yu. Bosin
Moscow Center for Diagnostics & Telemedicine
Russian Federation

Victor Yu. Bosin, Dr. Med. Sc., Professor, Chief Researcher

ul. Srednyaya Kalitnikovskaya, 28, stroenie 1, Moscow, 109029



S. P. Morozov
Moscow Center for Diagnostics & Telemedicine
Russian Federation

Sergey P. Morozov, Dr. Med. Sc., Professor, Director

ul. Srednyaya Kalitnikovskaya, 28, stroenie 1, Moscow, 109029



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Review

For citations:


Gonchar A.P., Gombolevskij V.A., Elizarov A.B., Kulberg N.S., Suleymanova M.M., Alekseeva T.I., Chernyshev D.A., Titov M.Yu., Levina T.A., Bosin V.Yu., Morozov S.P. Possibilities of liver density estimation according to noncontrast computed tomography. Journal of radiology and nuclear medicine. 2020;101(1):58-66. (In Russ.) https://doi.org/10.20862/0042-4676-2020-101-1-58-66

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ISSN 0042-4676 (Print)
ISSN 2619-0478 (Online)