Polymorbidity is the presence of several synchronically occurring diseases (genetically or pathogenetically related or unrelated) in one person at different stages and phases of their development, is accompanied by higher mortality rates, higher disability rates, treatment side effects, increased consumption of the patient’s body resources, lower quality of life. The purpose of the article is to demonstrate the association of polymorbidity and intact bone tissues’ heterogeneity in patients with malignant and metastatic bone tumors. Material and methods. 16 patients with benign bone tumors, 25 – with primary malignant bone tumors and 22 – with metastatic bone tumors were investigated with multispiral tomography scanner: 33 (52.4 %) men and 30 (47.6 %) women aged 25 to 75 years. The control group consisted of 37 patients with suspected tumor lesions of the bones, but the diagnosis was not confirmed. To assess polymorbidity in patients, the CIRS-G system was applied. Conclusion. An increase in polymorbidity level is associated with a decrease in RGD and an increase in the texture heterogeneity of computed tomographic images of the spongy and compact bones (the pattern is reliable, P <0.01) in the series: practically healthy individuals, patients with benign tumors, patients with malignant tumors, patients with metastatic tumors.

The potential field of magnetic resonance spectroscopy (MRS) application in the clinical practice of oncology is trivial: differential diagnosis of tumors, analysis of tumor malignancy degree, visualization of tumor response to chemotherapy, radiation therapy, and prediction of treatment outcome. The purpose of the work is to present, within the framework of infographics, the initial visual data of MRS of malignant tumors of various localizations for promising multiplatform systems of scientific visualization. Recall that scientific visualization deals with issues of accurate and understandable display of objects, processes and phenomena of scientific/practical interest. In the aspect of infographics, representative spectra of normal and tumor of brain tissues, auditory nerve, thyroid gland, lungs, mammary gland, pancreas, liver, kidneys, ovaries, uterus, prostate gland, muscles, and bones are presented. The main defined 1H-MPC tumor metabolites are described. Many tumors are overlapped in spectrum, and MRI results are best interpreted in conjunction with other imaging and histological analysis findings. The potential of MRS technologies can be fully realized only in superposition with artificial intellect.

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