Radiomics for pseudoprogression prediction in high grade gliomas: added value of MR contrast agent

Radiomics for pseudoprogression prediction in high grade gliomas: added value of MR contrast agent

Objective: Our aim is to define the capabilities of radiomics in predicting pseudoprogression from pre-treatment MR images in patients diagnosed with high-grade gliomas using T1 non-contrast-enhanced and contrast-enhanced images. Material & methods: In this retrospective IRB-approved study,...

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Bibliographic Details
Main Authors: Orkhan Mammadov, Burak Han Akkurt, Manfred Musigmann, Asena Petek Ari, David A. Blömer, Dilek N.G. Kasap, Dylan J.H.A. Henssen, Nabila Gala Nacul, Elisabeth Sartoretti, Thomas Sartoretti, Philipp Backhaus, Christian Thomas, Walter Stummer, Walter Heindel, Manoj Mannil
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Heliyon
Subjects:
Artificial intelligence
Glioma
Patient outcome assessment
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022013111

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http://www.sciencedirect.com/science/article/pii/S2405844022013111

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