The role of artificial intelligence in the differential thyroid nodules ultrasound diagnostics
https://doi.org/10.14341/ket12730
Abstract
Advances in the development and improvement of medical technologies and methods of processing medical images make it possible to highlight clinically significant characteristics that were not previously available to classical methods of medical imaging. Ultrasound diagnostics of thyroid gland nodules has a huge potential medical images processing. The article presents an overview of the existing ultrasound classification systems for thyroid nodules malignancy and the prospects for the development of intellectual tools TIRADS (Thyroid Imaging Reporting and Data System) classification system.
About the Authors
A. A. Trukhin
Endocrinology Research Centre; National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Competing Interests:
Russian Federation
Alexey A. Trukhin; eLibrary SPIN: 4398-9536
11 bld 2, Dm. Ulyanova street, 117036 Moscow
Competing Interests:
none
S. M. Zakharova
Endocrinology Research Centre
Russian Federation
Competing Interests:
Russian Federation
Svetlana M. Zakharova - MD, PhD; eLibrary SPIN-код: 9441-4035.
Moscow
Competing Interests:
none
M. Y. Dunaev
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Competing Interests:
Russian Federation
Maxim E. Dunaev
Moscow
Competing Interests:
none
M. P. Isaeva
Endocrinology Research Centre
Russian Federation
Competing Interests:
Russian Federation
Maria P. Isaeva, MD; eLibrary SPIN: 6205-5170.
Moscow
Competing Interests:
none
A. A. Garmash
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Russian Federation
Competing Interests:
Russian Federation
Alexandr A. Garmash
Moscow
Competing Interests:
none
E. A. Troshina
Endocrinology Research Centre
Russian Federation
Competing Interests:
Russian Federation
Ekaterina A. Troshina - MD, PhD, Professor; eLibrary SPIN: 8821-8990.
Moscow
Competing Interests:
none
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Supplementary files
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1. Fig. 1. Anechogenic nodule of the thyroid gland (EU-TIRADS 2). | |
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2. Fig. 2. Isoechoic thyroid gland nodule with even contours (EU-TIRADS 3). | |
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3. Fig. 3. Thyroid gland nodule with reduced echogenicity and smooth contours (EU-TIRADS 4). | |
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4. Fig. 4. Hypoechoic thyroid gland nodule with uneven contours and microcalcifications (EU-TIRADS 5). | |
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5. Fig. 5. Thyroid nodule mask, category 5 EU-TIRADS. | |
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For citations:
Trukhin A.A., Zakharova S.M., Dunaev M.Y., Isaeva M.P., Garmash A.A., Troshina E.A. The role of artificial intelligence in the differential thyroid nodules ultrasound diagnostics. Clinical and experimental thyroidology. 2022;18(2):32-38. (In Russ.) https://doi.org/10.14341/ket12730
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