0000000000414715

AUTHOR

Johan A. K. Suykens

showing 2 related works from this author

Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI

2009

Brain metastases and glioblastoma multiforme are the most aggressive and common brain tumours in adults and they require a different clinical management. Anatomical magnetic resonance imaging (MRI) or clinical history, cannot always clearly distinguish between them. This study describes and verifies the use of magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging (MRSI) in combination with MRI for differential diagnosis of glioblastomas and metastases. Feature selection methods are applied to the magnetic resonance (MR) spectra of 121 patients and relevant features are detected. Different classification methods are used to distinguish glioblastoma multiforme and…

medicine.medical_specialtymedicine.diagnostic_testbusiness.industryMagnetic resonance spectroscopic imagingMagnetic resonance imagingmedicine.diseaseMetastasisClinical historymedicineRadiologyDifferential diagnosisMr imagesbusinessBrain metastasisGlioblastoma
researchProduct

Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

2008

[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently acquired in different centers. The multicenter eTUMOUR project (2004-2009), which builds upon previous expertise from the INTERPRET project (2000-2002) has allowed such an evaluation to take place. A total of 253 pairwise classifiers for glioblastoma, meningioma, metastasis, and low-grade glial diagnosis were inferred based on 211 SV short TE INTERPRET MR spectra obtained at 1.5 T (PRESS or STEAM, 20-32 ms) and automatically pre-processed. Afterwards, the classifiers …

Multicenter evaluation studyDecision support systemComputer scienceBiophysicsBrain tumorDecision support systemsMachine learningcomputer.software_genreSensitivity and SpecificityBrain tumorsHealth informaticsAnalytical ChemistryPattern Recognition AutomatedArtificial IntelligenceMagnetic resonance spectroscopyBiomarkers TumorCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALmedicineHumansRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedRadiological and Ultrasound TechnologyBrain Neoplasmsbusiness.industryReproducibility of ResultsPattern classificationmedicine.diseaseR1EuropeRadiology Nuclear Medicine and imagingFISICA APLICADAArtificial intelligencebusinesscomputerAlgorithmsResearch ArticleMagma
researchProduct