Interdisciplinary data bank in oncoendocrinology. Medullary thyroid cancer and type 2 multiple endocrine neoplasia syndromes
Author(s) -
Pavel O. Rumiantsev,
Konstantin Y. Slashchuk,
С. В. Коренев,
А. Г. Гончаров,
D. G. Beltsevich,
Olga S. Chukhacheva
Publication year - 2020
Publication title -
endocrine surgery
Language(s) - English
Resource type - Journals
eISSN - 2310-3965
pISSN - 2306-3513
DOI - 10.14341/serg11270
Subject(s) - medullary cavity , medicine , endocrine system , multiple endocrine neoplasia , thyroid , medullary thyroid cancer , cancer , multiple endocrine neoplasia type 2 , pathology , thyroid cancer , oncology , biology , hormone , genetics , germline mutation , mutation , gene
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.
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