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1/2023
vol. 88 Neuroradiology
abstract:
Review paper
Radiomics in the diagnosis of glioblastoma
Agnieszka Kwiatkowska-Miernik
1
,
Bartosz Mruk
1
,
Katarzyna Sklinda
1
,
Artur Zaczyński
2
,
Jerzy Walecki
1
1.
Department of Radiology, Centre of Postgraduate Medical Education, The National Institute of Medicine of the Ministry of the Interior and Administration, Warsaw, Poland
2.
Department of Neurosurgery, The National Institute of Medicine of the Ministry of Interior and Administration, Warsaw, Poland
© Pol J Radiol 2023; 88: e461-e466
Online publish date: 2023/10/06
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Radiomics is a process of extracting many quantitative data obtained from medical images and analysing them. In neuroradiology it may be used to discover magnetic resonance imaging (MRI) features of glioblastomas that are impossible to identify by human vision alone. In this article, the authors describe the methodology and their first experience in creating a predictive model based on radiomic features obtained from the preoperative MRI examination of patients with glioblastoma. Early identification of malignant glioblastoma subtypes characterized by different prognoses and responses to treatment would greatly facilitate the implementation of targeted therapy, which appears to be the future of glioblastoma treatment.
keywords:
artificial intelligence, machine learning, glioblastoma, radiomics |