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Rapid and Accurate MRI Segmentation of Peritumoral Brain Edema in Meningiomas
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Neurosurgery.ORCID iD: 0000-0002-4702-526X
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.ORCID iD: 0000-0001-6308-1387
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Neurosurgery.ORCID iD: 0000-0003-2869-2873
2017 (English)In: Clinical neuroradiology, ISSN 1869-1447, Vol. 27, no 2, 145-152 p.Article in journal (Refereed) Published
Abstract [en]

PURPOSE:

The extent of peritumoral brain edema (PTBE) in meningiomas commonly affects the clinical outcome. Despite its importance, edema volume is usually highly inaccurately approximated to a spheroid shape. We tested the accuracy and the reproducibility of semiautomatic lesion management software for the analysis of PTBE in a homogeneous case series of surgically confirmed intracranial meningiomas.

METHODS:

PTBE volume was calculated on magnetic resonance images in 50 patients with intracranial meningiomas using commercial lesion management software (Vue PACS Livewire, Carestream, Rochester, NY, USA). Inter and intraobserver agreement evaluation and a comparison between manual volume calculation, the semiautomatic software and spheroid approximation were performed in 22 randomly selected patients.

RESULTS:

The calculation of edema volume was possible in all cases irrespective of the extent of the signal changes. The median time for each calculation was 3 min. Interobserver and intraobserver agreement confirmed the reproducibility of the method. Comparison with standard (fully manual) calculation confirmed the accuracy of this software.

CONCLUSIONS:

Our study showed a high level of reproducibility of this semiautomatic computational method for peritumoral brain edema. It is rapid and easy to use after relatively short training and is suitable for implementation in clinical practice.

Place, publisher, year, edition, pages
2017. Vol. 27, no 2, 145-152 p.
National Category
Neurology Radiology, Nuclear Medicine and Medical Imaging Surgery
Research subject
Neurosurgery
Identifiers
URN: urn:nbn:se:uu:diva-273526DOI: 10.1007/s00062-015-0481-0ISI: 000403423800003PubMedID: 26603998OAI: oai:DiVA.org:uu-273526DiVA: diva2:894762
Available from: 2016-01-15 Created: 2016-01-15 Last updated: 2017-10-19Bibliographically approved

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Latini, FrancescoLarsson, Elna-MarieRyttlefors, Mats

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