Lohmann, Philipp ORCID: 0000-0002-5360-046X, Kocher, Martin, Ruge, Maximillian, I, Visser-Vandewalle, Veerle, Shah, N. Jon ORCID: 0000-0002-8151-6169, Fink, Gereon R. ORCID: 0000-0002-8230-1856, Langen, Karl-Josef and Galldiks, Norbert ORCID: 0000-0002-2485-1796 (2020). PET/MRI Radiomics in Patients With Brain Metastases. Front. Neurol., 11. LAUSANNE: FRONTIERS MEDIA SA. ISSN 1664-2295

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Abstract

Although a variety of imaging modalities are used or currently being investigated for patients with brain tumors including brain metastases, clinical image interpretation to date uses only a fraction of the underlying complex, high-dimensional digital information from routinely acquired imaging data. The growing availability of high-performance computing allows the extraction of quantitative imaging features from medical images that are usually beyond human perception. Using machine learning techniques and advanced statistical methods, subsets of such imaging features are used to generate mathematical models that represent characteristic signatures related to the underlying tumor biology and might be helpful for the assessment of prognosis or treatment response, or the identification of molecular markers. The identification of appropriate, characteristic image features as well as the generation of predictive or prognostic mathematical models is summarized under the term radiomics. This review summarizes the current status of radiomics in patients with brain metastases.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Lohmann, PhilippUNSPECIFIEDorcid.org/0000-0002-5360-046XUNSPECIFIED
Kocher, MartinUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ruge, Maximillian, IUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Visser-Vandewalle, VeerleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Shah, N. JonUNSPECIFIEDorcid.org/0000-0002-8151-6169UNSPECIFIED
Fink, Gereon R.UNSPECIFIEDorcid.org/0000-0002-8230-1856UNSPECIFIED
Langen, Karl-JosefUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Galldiks, NorbertUNSPECIFIEDorcid.org/0000-0002-2485-1796UNSPECIFIED
URN: urn:nbn:de:hbz:38-345235
DOI: 10.3389/fneur.2020.00001
Journal or Publication Title: Front. Neurol.
Volume: 11
Date: 2020
Publisher: FRONTIERS MEDIA SA
Place of Publication: LAUSANNE
ISSN: 1664-2295
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
MAGNETIC-RESONANCE-SPECTROSCOPY; AMINO-ACID PET; RESPONSE ASSESSMENT; EUROPEAN ASSOCIATION; SOLID TUMORS; IMAGES; EPIDEMIOLOGY; RADIOSURGERY; PROGRESSION; FEATURESMultiple languages
Clinical Neurology; NeurosciencesMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/34523

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