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Interdisciplinary data bank in oncoendocrinology. Medullary thyroid cancer and type 2 multiple endocrine neoplasia syndromes

https://doi.org/10.14341/serg11270

Abstract

Medullary thyroid cancer (MTC) is about 5% of all thyroid carcinomas and is hereditary in 20–30% of cases. Multiple endocrine neoplasia syndrome type 2 (MEN2), in addition to medullary thyroid cancer, may include pheochromocytoma, hyperparathyroidism, and some other manifestations.


The multidisciplinary data bank (MDB) developed by us is a specialized resource for storing, accumulating and subsequent analysis of data on patients with MTC and MEN2 syndromes. The MDB allows you to collect data from any sources (primary care, medical institutions at various levels, federal centers) and provides internal automated control of the quality and quantity of input data. It is necessary to keep a record of such data to improve the efficiency of diagnostics, treatment and rehabilitation of patients.


MDB is an integrated digital platform containing reference materials for doctors, which allows combining evidence-based clinical experience in patients, and provides the opportunity for expert support of medical decisions. In the long run, it will help us organize digitally stored data for machine learning and lays the groundwork for the development of artificial neural networks.

About the Authors

Pavel O. Rumiantsev
Endocrinology Research Centre
Russian Federation

ScD



Konstantin Y. Slashchuk
Endocrinology Research Centre
Russian Federation

MD



Sergey V. Korenev
Immanuel Kant Baltic Federal University
Russian Federation

MD, PhD



Andrei G. Goncharov
Immanuel Kant Baltic Federal University
Russian Federation

MD, PhD



Dmitriy G. Beltsevich
Endocrinology Research Center
Russian Federation

MD, ScD, Professor, leading research associate of the surgery department



Olga S. Chukhacheva
Endocrinology Research Centre
Russian Federation

MD



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Supplementary files

1. Изображения к статье
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2. Fig. 1. The interface marking the location of the tumor in the thyroid gland.
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3. Fig. 2. Cervical lymphadenectomy volume labeling interface.
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4. Fig. 3. Data labeling according to the degree of completeness of data filling.
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5. Fig. 4. Accounting for the filling of individual entries.
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6. Fig. 5. Interface dynamics of the level of tumor markers.
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Review

For citations:


Rumiantsev P.O., Slashchuk K.Y., Korenev S.V., Goncharov A.G., Beltsevich D.G., Chukhacheva O.S. Interdisciplinary data bank in oncoendocrinology. Medullary thyroid cancer and type 2 multiple endocrine neoplasia syndromes. Endocrine Surgery. 2019;13(3):105-117. (In Russ.) https://doi.org/10.14341/serg11270

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