Email this article Shear wave elastography in the diagnosis of rhabdomyolysis
- Authors: Emelyantsev A.A.1, Bardakov S.N.1, Boikov I.V.1, Malakhovskiy V.N.1, Rameshvili T.E.1, Tsargush V.A.1, Romanov G.G.1, Bagrova A.A.1
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Affiliations:
- Military Medical Academy
- Issue: Vol 41, No 1 (2022)
- Pages: 23-30
- Section: Original articles
- URL: https://journals.rcsi.science/RMMArep/article/view/104383
- DOI: https://doi.org/10.17816/rmmar104383
- ID: 104383
Cite item
Abstract
Rhabdomyolysis is a life-threatening skeletal muscle disease, the time of diagnosis and initiation of treatment of which directly affects the likelihood of developing acute kidney injury and the quality of recovery of muscle function. The ultrasound method of diagnostics is accessible and can be used at the stage of primary diagnosis, but it has low sensitivity of 68% and specificity of 57% when using such ultrasound symptoms as a diffuse expressed increase of echogenicity (homogeneous or heterogeneous), disorder of transverse striation of the muscle structure and high volume of the muscular tissue damage (over 30%).
The possibility of ultrasonic elastography in the diagnosis of rhabdomyolysis in 95 patients admitted with suspected damage to muscle tissue are discussed. Comparison of the parameters of shear wave elastography in patients with rhabdomyolysis and patients with other diseases manifested by muscle edema (muscle contusion, inflammatory myopathies, post-exercise muscle edema), as well as with the control group, significant differences were noted (p < 0.01) allows to determine the quantitative ultrasound characteristics of muscle tissue, pathognomonic for rhabdomyolysis. The use of shear wave elastography with obtaining lateral wave velocity of less than 1.64 m/s increased the sensitivity and specificity of the method in the diagnosis of rhabdomyolysis to 75 and 62%, respectively.
A logit model with integrated use of elastography indices was developed, with a diagnostic accuracy of 77%. During muscle recovery, there was an increase in lateral wave velocity to the level of control group values, which can be used as one of the markers of patient recovery.
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##article.viewOnOriginalSite##About the authors
Aleksandr A. Emelyantsev
Military Medical Academy
Author for correspondence.
Email: yemelyantsev@gmail.com
ORCID iD: 0000-0001-5723-7058
SPIN-code: 6895-7818
Scopus Author ID: 57223387651
M.D., Ph.D. (Medicine), Senior Lecturer of the Radiology and Radiology Department with a course of ultrasound diagnostics
Russian Federation, 6, Akademika Lebedeva str., Saint Petersburg, 194044Sergey N. Bardakov
Military Medical Academy
Email: epistaxis@mail.ru
ORCID iD: 0000-0002-3804-6245
SPIN-code: 2351-4096
Scopus Author ID: 57193732211
M.D., Ph.D. (Medicine), Lecturer at the Nephrology and Efferent Therapy Department
Russian Federation, Saint PetersburgIgor’ V. Boikov
Military Medical Academy
Email: qwertycooolt@mail.ru
SPIN-code: 1453-8437
M.D., D.Sc. (Medicine), Professor, Deputy Head of the Radiology and Radiology Department with a Course in Ultrasound Diagnostics
Russian Federation, Saint PetersburgVladimir N. Malakhovskiy
Military Medical Academy
Email: malakhovskyvova@gmail.com
SPIN-code: 2014-6335
M.D., D.Sc. (Medicine), Professor, Lecturer at the Radiology and Radiology Department with a course in ultrasound diagnostics
Russian Federation, Saint PetersburgTamara E. Rameshvili
Military Medical Academy
Email: rentgenvma@mail.ru
SPIN-code: 3034-3209
M.D., D.Sc. (Medicine), Professor, Senior Lecturer of the Radiology and Radiology Department with a course of ultrasound diagnostics
Russian Federation, Saint PetersburgVadim A. Tsargush
Military Medical Academy
Email: tsargushvmf@mail.ru
ORCID iD: 0000-0002-5459-986X
SPIN-code: 2599-1515
Scopus Author ID: 57214886746
M.D., Ph.D. (Medicine), radiologist
Russian Federation, Saint PetersburgGennadiy G. Romanov
Military Medical Academy
Email: romanov_gennadiy@mail.ru
ORCID iD: 0000-0001-5987-8158
SPIN-code: 9298-4494
Scopus Author ID: 56024998000
M.D., Ph.D. (Medicine), Associate Professor of the Radiology and Radiology Department with a course of ultrasound diagnostics
Russian Federation, Saint PetersburgAnna A. Bagrova
Military Medical Academy
Email: annieba@mail.ru
SPIN-code: 6969-7667
the Head of the medical department
Russian Federation, Saint PetersburgReferences
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