dc.contributor.author | Andreassen, Maren Marie Sjaastad | |
dc.contributor.author | Goa, Pål Erik | |
dc.contributor.author | Sjøbakk, Torill Eidhammer | |
dc.contributor.author | Hedayati, Roja | |
dc.contributor.author | Eikesdal, Hans Petter | |
dc.contributor.author | Deng, Callie | |
dc.contributor.author | Østlie, Agnes | |
dc.contributor.author | Lundgren, Steinar | |
dc.contributor.author | Bathen, Tone Frost | |
dc.contributor.author | Jerome, Neil Peter | |
dc.date.accessioned | 2020-02-07T11:52:11Z | |
dc.date.available | 2020-02-07T11:52:11Z | |
dc.date.created | 2019-11-17T12:19:05Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Magnetic Resonance Materials in Physics, Biology and Medicine. 2019, . | nb_NO |
dc.identifier.issn | 0968-5243 | |
dc.identifier.uri | http://hdl.handle.net/11250/2640389 | |
dc.description.abstract | Objectives
To investigate the reliability of simultaneous positron emission tomography and magnetic resonance imaging (PET/MRI)-derived biomarkers using semi-automated Gaussian mixture model (GMM) segmentation on PET images, against conventional manual tumor segmentation on dynamic contrast-enhanced (DCE) images.
Materials and methods
Twenty-four breast cancer patients underwent PET/MRI (following 18F-fluorodeoxyglucose (18F-FDG) injection) at baseline and during neoadjuvant treatment, yielding 53 data sets (24 untreated, 29 treated). Two-dimensional tumor segmentation was performed manually on DCE–MRI images (manual DCE) and using GMM with corresponding PET images (GMM–PET). Tumor area and mean apparent diffusion coefficient (ADC) derived from both segmentation methods were compared, and spatial overlap between the segmentations was assessed with Dice similarity coefficient and center-of-gravity displacement.
Results
No significant differences were observed between mean ADC and tumor area derived from manual DCE segmentation and GMM–PET. There were strong positive correlations for tumor area and ADC derived from manual DCE and GMM–PET for untreated and treated lesions. The mean Dice score for GMM–PET was 0.770 and 0.649 for untreated and treated lesions, respectively.
Discussion
Using PET/MRI, tumor area and mean ADC value estimated with a GMM–PET can replicate manual DCE tumor definition from MRI for monitoring neoadjuvant treatment response in breast cancer. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer | nb_NO |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Semi-automatic segmentation from intrinsically-registered 18F-FDG-PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE-MRI | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.source.pagenumber | 12 | nb_NO |
dc.source.journal | Magnetic Resonance Materials in Physics, Biology and Medicine | nb_NO |
dc.identifier.doi | 10.1007/s10334-019-00778-8 | |
dc.identifier.cristin | 1748369 | |
dc.description.localcode | Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | nb_NO |
cristin.unitcode | 194,65,25,0 | |
cristin.unitcode | 194,66,20,0 | |
cristin.unitcode | 1920,4,0,0 | |
cristin.unitcode | 1920,12,0,0 | |
cristin.unitcode | 194,65,15,0 | |
cristin.unitname | Institutt for sirkulasjon og bildediagnostikk | |
cristin.unitname | Institutt for fysikk | |
cristin.unitname | Klinikk for bildediagnostikk | |
cristin.unitname | Kreftklinikken | |
cristin.unitname | Institutt for klinisk og molekylær medisin | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |