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Titel:Radiogenomic Predictors of Recurrence in Glioblastoma - A Systematic Review
Autor:Corr, Felix
Weitere Verfasser:Grimm, Dustin; Saß, Benjamin; Pojskic, Mirza; Bartsch, Jörg W.; Carl, Barbara; Nimsky, Christopher; Bopp, Miriam H. A.
Veröffentlicht:2022
URI:https://archiv.ub.uni-marburg.de/es/2022/0162
URN: urn:nbn:de:hebis:04-es2022-01620
DOI: https://doi.org/10.3390/jpm12030402
DDC:610 Medizin
Publikationsdatum:2022-11-22
Lizenz:https://creativecommons.org/licenses/by/4.0

Dokument

Schlagwörter:
glioblastoma, molecular markers, gliomas, recurrence, radiogenomics, magnetic resonance imaging, imaging genomics, GBM, radiomics, radiology, neuro-o

Summary:
Glioblastoma, as the most aggressive brain tumor, is associated with a poor prognosis and outcome. To optimize prognosis and clinical therapy decisions, there is an urgent need to stratify patients with increased risk for recurrent tumors and low therapeutic success to optimize individual treatment. Radiogenomics establishes a link between radiological and pathological information. This review provides a state-of-the-art picture illustrating the latest developments in the use of radiogenomic markers regarding prognosis and their potential for monitoring recurrence. Databases PubMed, Google Scholar, and Cochrane Library were searched. Inclusion criteria were defined as diagnosis of glioblastoma with histopathological and radiological follow-up. Out of 321 reviewed articles, 43 articles met these inclusion criteria. Included studies were analyzed for the frequency of radiological and molecular tumor markers whereby radiogenomic associations were analyzed. Six main associations were described: radiogenomic prognosis, MGMT status, IDH, EGFR status, molecular subgroups, and tumor location. Prospective studies analyzing prognostic features of glioblastoma together with radiological features are lacking. By reviewing the progress in the development of radiogenomic markers, we provide insights into the potential efficacy of such an approach for clinical routine use eventually enabling early identification of glioblastoma recurrence and therefore supporting a further personalized monitoring and treatment strategy.


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