Universität zu Köln

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:	Creators Email ORCID ORCID Put Code Laukamp, Kai R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Lindemann, Florian UNSPECIFIED UNSPECIFIED UNSPECIFIED Weckesser, Matthias UNSPECIFIED UNSPECIFIED UNSPECIFIED Hesselmann, Volker UNSPECIFIED UNSPECIFIED UNSPECIFIED Ligges, Sandra UNSPECIFIED UNSPECIFIED UNSPECIFIED Woelfer, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Jeibmann, Astrid UNSPECIFIED UNSPECIFIED UNSPECIFIED Zinnhardt, Bastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Viel, Thomas UNSPECIFIED orcid.org/0000-0002-0756-9166 UNSPECIFIED Schaefers, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Paulus, Werner UNSPECIFIED UNSPECIFIED UNSPECIFIED Stummer, Walter UNSPECIFIED UNSPECIFIED UNSPECIFIED Schober, Otmar UNSPECIFIED UNSPECIFIED UNSPECIFIED Jacobs, Andreas H. UNSPECIFIED UNSPECIFIED UNSPECIFIED
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:	Keywords Language POSITRON-EMISSION-TOMOGRAPHY; BRAIN-TUMORS; DIAGNOSTIC-ACCURACY; CEREBRAL GLIOMAS; GLIOBLASTOMA; DIFFERENTIATION; RADIATION; RESECTION; BIOPSY; TOOL Multiple languages Biochemical Research Methods; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/24225