Interdisciplinary databank in oncoendocrinology: radioiodine refractory differentiated thyroid cancer

High achievements in personalized evidence-based medicine and oncology, particularly in developed countries, are associated with the successful development of clinical carceral registries of patients (SEER, NCDB, etc.), which are multimodal data banks. They are a data matrix for the development of analytical and prognostic tools in the study of diagnostic features, clinical disease course, therapy response, assessment of prognostic factors, etc. From the point of view of medical digital data banks, data redundancy and duplication are not as critical as information incompleteness or inconsistency when making medical decisions. This study aimed to present a multimodal database of patients with radioiodine refractory differentiated thyroid cancer, which is essentially a modern interdisciplinary digital medical registry. Along with demographic and nosological data that is typical for epidemiological registers, the multimodal data banks consider key clinical and paraclinical data, such as the results of laboratory, morphological, and instrumental research methods, and various imaging methods, such as ultrasound, computed tomography (CT), magnetic resonance imaging, single-photon emission computed tomography/CT, and positron emission tomography/CT. The multimodal data banks present the molecular genetic profile results of the tumor, of which the clinical usefulness in the choice of treatment tactics is undoubted today. All these data are accumulated in the multimodal data banks, noting the execution time and the revision results (second opinion), considering standardized qualitative and quantitative parameters (factors) that potentially affect the clinical course, treatment response, complication development, and outcomes.