Open AccessMagnetic Resonance Spectroscopy: Information and Efficiency of Diagnostics of Malignant Tumors (Review and Portfolio)
Author(s) -
Nikolay Ternovoy,
O.V. Drobotun,
N. Kolotilov,
E. Tuz,
Vladimir Vovk
Publication year - 2021
Publication title -
radiation diagnostics, radiation therapy
Language(s) - English
Resource type - Journals
eISSN - 2707-0700
pISSN - 2707-0697
DOI - 10.37336/2707-0700-2021-3-6
Subject(s) - visualization , proton magnetic resonance , pathology , magnetic resonance imaging , computer science , medicine , radiology , artificial intelligence , nuclear magnetic resonance , physics
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.