Laukamp, Kai R., Lindemann, Florian, Weckesser, Matthias, Hesselmann, Volker, Ligges, Sandra, Woelfer, Johannes, Jeibmann, Astrid, Zinnhardt, Bastian, Viel, Thomas ORCID: 0000-0002-0756-9166, Schaefers, Michael, Paulus, Werner, Stummer, Walter, Schober, Otmar and Jacobs, Andreas H. (2017). Multimodal Imaging of Patients With Gliomas Confirms C-11-MET PET as a Complementary Marker to MRI for Noninvasive Tumor Grading and Intraindividual Follow-Up After Therapy. Mol. Imaging, 16. THOUSAND OAKS: SAGE PUBLICATIONS INC. ISSN 1536-0121

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Abstract

The value of combined L-(methyl-[(11) C]) methionine positron-emitting tomography (MET-PET) and magnetic resonance imaging (MRI) with regard to tumor extent, entity prediction, and therapy effects in clinical routine in patients with suspicion of a brain tumor was investigated. In n = 65 patients with histologically verified brain lesions n = 70 MET-PET andMRI (T1-weighted gadolinium-enhanced [T1w-Gd] and fluid-attenuated inversion recovery or T2-weighted [FLAIR/T2w]) examinations were performed. The computer software visualization and analysis framework volume rendering engine (Voreen)'' was used for analysis of extent and intersection of tumor compartments. Binary logistic regressionmodelswere developed to differentiate betweenWorldHealthOrganization (WHO) tumor types/grades. Tumor sizes as defined by thresholding based on tumor-to-background ratios were significantly different as determined byMET-PET (21.6 +/- 36.8 cm(3)), T1w-Gd-MRI (3.9 +/- 7.8 cm(3)), and FLAIR/T2-MRI (64.8 +/- 60.4 cm(3); P < .001). TheMETPET visualized tumor activity whereMRI parameterswere negative: PET positive tumor volumewithout Gd enhancementwas 19.8 +/- 35.0 cm(3) and without changes in FLAIR/T2 10.3 +/- 25.7 cm(3). FLAIR/T2-MRI visualized greatest tumor extentwith differences toMETPET being greater in posttherapy (64.6 +/- 62.7 cm(3)) than in newly diagnosed patients (20.5 +/- 52.6 cm(3)). The binary logistic regression model differentiated betweenWHOtumor types (fibrillary astrocytoma II n - 10 fromother gliomas n - 16) with an accuracy of 80.8% in patients at primary diagnosis. Combined PET and MRI improve the evaluation of tumor activity, extent, type/grade prediction, and therapy-induced changes in patients with glioma and serve information highly relevant for diagnosis and management.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Laukamp, Kai R.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lindemann, FlorianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Weckesser, MatthiasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hesselmann, VolkerUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ligges, SandraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Woelfer, JohannesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jeibmann, AstridUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zinnhardt, BastianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Viel, ThomasUNSPECIFIEDorcid.org/0000-0002-0756-9166UNSPECIFIED
Schaefers, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Paulus, WernerUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stummer, WalterUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schober, OtmarUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Jacobs, Andreas H.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-242255
DOI: 10.1177/1536012116687651
Journal or Publication Title: Mol. Imaging
Volume: 16
Date: 2017
Publisher: SAGE PUBLICATIONS INC
Place of Publication: THOUSAND OAKS
ISSN: 1536-0121
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
POSITRON-EMISSION-TOMOGRAPHY; BRAIN-TUMORS; DIAGNOSTIC-ACCURACY; CEREBRAL GLIOMAS; GLIOBLASTOMA; DIFFERENTIATION; RADIATION; RESECTION; BIOPSY; TOOLMultiple languages
Biochemical Research Methods; Radiology, Nuclear Medicine & Medical ImagingMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/24225

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