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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 03(119) 2023

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Sultanova, M. J., & Najafova, V. N.

Determination of the pathological changes? distribution in different parts of the liver by radiological methods in patients with diabetes mellitus.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-03-119-33

DOI: https://dx.doi.org/10.15863/TAS.2023.03.119.33

Language: English

Citation: Sultanova, M. J., & Najafova, V. N. (2023). Determination of the pathological changes? distribution in different parts of the liver by radiological methods in patients with diabetes mellitus. ISJ Theoretical & Applied Science, 03 (119), 251-254. Soi: http://s-o-i.org/1.1/TAS-03-119-33 Doi: https://dx.doi.org/10.15863/TAS.2023.03.119.33

Pages: 251-254

Published: 30.03.2023

Abstract: As a result of the development of the technical capabilities of various radiological methods, their application in a number of fields of medicine has been expanded. The purpose of the study was to study the sensitivity and specificity of various radiological methods in the diagnosis of metastases and cysts in certain parts of the liver in patients with diabetes. In order to quantitatively and qualitatively study the cysts in the liver of patients with and without fatty liver by MRI, MSKT and USM methods, a 3-stage research plan was prepared. We were able to identify 17 out of 18 patients with metastases who had changes in the contours of their liver during the MRI examinations. As a result of examinations with the appropriate method, out of 38 patients without liver contour changes, it was determined that 2 people had changes in the liver contours by mistake. Using the indices, TPR (sensitivity)= 0.9444, TNR (specificity)= 0.9473, ACC (accuracy)= 0.9464, PPV (positive predictive value)= 0.8947 and NPV (negative predictive value)= 0,9729 were also obtained.

Key words: diabetes, fatty liver, MRI, USM, MSCT, metastasis, cyst, sensitivity.


 

 

 

 

 

 

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