Clinical and quantitative MRI perfusion analysis of osteoid osteomas before and after microwave ablation

Aim: Evaluation of osteoid osteoma (OO) perfusion characteristics pre and post microwave ablation (MWA) using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with clinical follow-up. Materials and Methods: Patients with OO underwent T1-weighted 3D DCE-MRI at 3.0T pre and post MWA. Sig...

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Main Authors: Kostrzewa, Michael (Author) , Henzler, Thomas (Author) , Schönberg, Stefan (Author) , Diehl, Steffen J. (Author) , Rathmann, Nils-Andreas (Author)
Format: Article (Journal)
Language:English
Published: May 16, 2019
In: Anticancer research
Year: 2019, Volume: 39, Issue: 6, Pages: 3053-3057
ISSN:1791-7530
DOI:10.21873/anticanres.13439
Online Access:Verlag, Volltext: https://doi.org/10.21873/anticanres.13439
Verlag, Volltext: http://ar.iiarjournals.org/content/39/6/3053
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Author Notes:Michael Kostrzewa, Thomas Henzler, Stefan O. Schoenberg, Steffen J. Diehl and Nils Rathmann
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Summary:Aim: Evaluation of osteoid osteoma (OO) perfusion characteristics pre and post microwave ablation (MWA) using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with clinical follow-up. Materials and Methods: Patients with OO underwent T1-weighted 3D DCE-MRI at 3.0T pre and post MWA. Signal intensity (SI) and perfusion of lesions was measured. Patients answered a questionnaire for clinical follow-up. Results: A total of 24 patients were included (mean age of 28 years; nine females); 21 DCE-MRI datasets were of sufficient quality for analysis. The mean SI of lesions, plasma flow, volume of distribution and pain level all decreased statistically significantly after ablation. Conclusion: Quantitative MRI-perfusion analysis allows for objective treatment evaluation after MWA of OO, plasma flow and volume of distribution seem to be reliable indicators for successful thermoablation. MWA is an effective treatment option for OO with a low risk profile and significant pain reduction after treatment.
Item Description:Gesehen am 31.01.2020
Physical Description:Online Resource
ISSN:1791-7530
DOI:10.21873/anticanres.13439