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Discrimination between glioma grades II and III in suspected low-grade gliomas using dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging: a histogram analysis approach
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Radiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Radiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Neurology.
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2014 (English)In: Neuroradiology, ISSN 0028-3940, E-ISSN 1432-1920, Vol. 56, no 12, 1031-1038 p.Article in journal (Refereed) Published
Abstract [en]

Introduction

Perfusion magnetic resonance imaging (MRI) can be used in the pre-operative assessment of brain tumours. The aim of this prospective study was to identify the perfusion parameters from dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) perfusion imaging that could best discriminate between grade II and III gliomas.

Methods

MRI (3 T) including morphological ((T2 fluid attenuated inversion recovery (FLAIR) and T1-weighted (T1W)+Gd)) and perfusion (DCE and DSC) sequences was performed in 39 patients with newly diagnosed suspected low-grade glioma after written informed consent in this review board-approved study. Regions of interests (ROIs) in tumour area were delineated on FLAIR images co-registered to DCE and DSC, respectively, in 25 patients with histopathological grade II (n = 18) and III (n  = 7) gliomas. Statistical analysis of differences between grade II and grade III gliomas in histogram perfusion parameters was performed, and the areas under the curves (AUC) from the ROC analyses were evaluated.

Results

In DCE, the skewness of transfer constant (k trans) was found superior for differentiating grade II from grade III in all gliomas (AUC 0.76). In DSC, the standard deviation of relative cerebral blood flow (rCBF) was found superior for differentiating grade II from grade III gliomas (AUC 0.80).

Conclusions

Histogram parameters from k trans (DCE) and rCBF (DSC) could most efficiently discriminate between grade II and grade III gliomas.

Place, publisher, year, edition, pages
2014. Vol. 56, no 12, 1031-1038 p.
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:uu:diva-232197DOI: 10.1007/s00234-014-1426-zISI: 000345297100002PubMedID: 25204450OAI: oai:DiVA.org:uu-232197DiVA: diva2:746956
Available from: 2014-09-15 Created: 2014-09-15 Last updated: 2017-12-05Bibliographically approved
In thesis
1. Preoperative MRI and PET in suspected low-grade gliomas: Radiological, neuropathological and clinical intersections
Open this publication in new window or tab >>Preoperative MRI and PET in suspected low-grade gliomas: Radiological, neuropathological and clinical intersections
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Background: Gliomas are neuroepithelial tumours classified by cell type and grade. In adults, low-grade gliomas are comprised mainly of astrocytomas and oligodendrogliomas grade II. The aim was to non-invasively characterise suspected low-grade gliomas through use of 11C-methionine-PET and physiological MRI in order to facilitate treatment decisions.

Materials and methods: Patients with suspected low-grade glioma were prospectively and consecutively included after referral to the Neurosurgical Department, Uppsala University Hospital, between February 2010 and February 2014. All patients underwent morphological MRI, perfusion MRI, diffusion MRI and 11C-methionine PET. The institutional review board approved the study, and written informed consent was obtained prior to participation from each patient.

Results: 11C-methionine PET hot spot regions corresponded spatially with regions of maximum relative cerebral blood volume in dynamic susceptibility contrast (DSC) perfusion MRI. The skewness of the transfer constantin dynamic contrast-enhanced (DCE) perfusion MRI, and the standard deviation of relative cerebral blood flow in DSC perfusion MRI could most efficiently discriminate between glioma grades II and III. In diffusion MRI, tumour fractional anisotropy differed between suspected low-grade gliomas of different neuropathological types. Quantitative diffusion tensor tractography was applicable for the evaluation of tract segment infiltration.

Conclusion: PET and physiological MRI are able to characterise low-grade gliomas and are promising tools for guiding therapy and clinical decisions before neuropathological diagnosis has been obtained.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2015. 78 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 1136
Keyword
Low-grade glioma, MRI, PET, FA, MD, Perfusion, Diffusion, Neuropathology, Oligodendroglioma, Astrocytoma, PET, tractography, DTI, DTT
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
Radiology
Identifiers
urn:nbn:se:uu:diva-262742 (URN)978-91-554-9343-1 (ISBN)
Public defence
2015-11-06, Hedstrandsalen, Uppsala, 09:15 (Swedish)
Opponent
Supervisors
Available from: 2015-10-16 Created: 2015-09-18 Last updated: 2015-10-27Bibliographically approved

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Falk, AnnaFahlström, MarkusBerntsson, ShalaZetterling, MariaMorell, ArvidSmits, AnjaLarsson, Elna-Marie

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