Gastrointestinal Stromal Tumors. Course Prediction and Diagnostic Algorithms

Abstract

The purpose of the review is to compare modern algorithms for predicting the course of GIST.Material and methods. An information search was conducted using the PubMed, OVID, EMBASE, SRC BOLD databases using keywords that corresponded to the MESH terms «gastro-i ntestinal stromal tumors» AND «prognosis» AND «diagnosis». The search depth is 10 years. From the total array of 66 publications, 20, most relevant to the search subject, were selected. Information analysis was carried out in accordance with the PRISMA criteria.The results. A comparison of various medical imaging methods and models for predicting clinical outcomes in GIST was carried out. The main prognostic criteria are the size of the tumor, its localization and mitotic index. Criteria for assessing the response to treatment during MRI and PET were revised. The diff erences, advantages, and limitations of various prognosticators are discussed Conclusions. Gastrointestinal stromal tumors are a rare pathology, which, however, often has a progressive course. Existing models for predicting the course of GIST do not take into account genetic variants. The use of a multidisciplinary approach has signifi cant prospects in the selection of SPSHKT therapy.