Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation?
Authors
Khalifa, JTensaouti, F
Lotterie, J
Catalaa, I
Chaltiel, L
Benouaich-Amiel, A
Gomez-Roca, C
Noël, G
Truc, G
Péran, P
Berry, I
Sunyach, M
Charissoux, M
Johnson, Corinne
Cohen-Jonathan, M
Laprie, A
Affiliation
INSERM UMR 1214, TONIC (Toulouse NeuroImaging Centre), 31059, Toulouse, FranceIssue Date
2016-08-08
Metadata
Show full item recordAbstract
To assess the value of T2* dynamic-susceptibility contrast MRI (DSC-MRI) and diffusion-weighted imaging (DWI) to predict the glioblastoma relapse sites after chemoradiation. From a cohort of 44 patients, primarily treated with radiotherapy (60 Gy) and concomitant temozolomide for glioblastoma, who were included in the reference arm of a prospective clinical trial (NCT01507506), 15 patients relapsed and their imaging data were analyzed. All patients underwent anatomical MRI, DSC-MRI and DWI before radiotherapy and every 2 months thereafter until relapse. Voxels within the sites of relapse were correlated with their perfusion and/or diffusion abnormality (PDA) pretreatment status after rigid co-registration. The relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC) were used as biomarkers. Several PDA areas were thresholded: hyperperfused voxels using a 1.75 fixed rCBV threshold (HPt); hypoperfused (hPg) and hyperperfused (HPg) voxels using a histogram-based Gaussian method; diffusion-restricted voxels (DRg); and HPg voxels with diffusion restriction (HPg&DRg). Two sets of voxels (2,459,483 and 2,073,880) were analyzed according to these thresholding methods. Positive predictive values (PPV) of PDA voxels were low (between 9.5 and 31.9 %). The best PPV was obtained with HPg&DRg voxels within the FLAIR hyperintensity, as 18.3 % of voxels without initial PDA were within relapse sites, versus 31.9 % with initial PDA (p < 0.0001). This prospective study suggests that DSC and/or DWI-MRI do not predict the glioblastoma relapse sites. However, further investigations with new methodological approaches are needed to better understand the role of these modalities in the prediction of glioblastoma relapse sites.Citation
Do perfusion and diffusion MRI predict glioblastoma relapse sites following chemoradiation? 2016: J NeurooncolJournal
Journal of Neuro-oncologyDOI
10.1007/s11060-016-2232-8PubMed ID
27502603Type
ArticleLanguage
enISSN
1573-7373ae974a485f413a2113503eed53cd6c53
10.1007/s11060-016-2232-8
Scopus Count
Collections
Related articles
- Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial.
- Authors: Liu ZC, Yan LF, Hu YC, Sun YZ, Tian Q, Nan HY, Yu Y, Sun Q, Wang W, Cui GB
- Issue date: 2017 Feb 1
- Identification of a candidate biomarker from perfusion MRI to anticipate glioblastoma progression after chemoradiation.
- Authors: Khalifa J, Tensaouti F, Chaltiel L, Lotterie JA, Catalaa I, Sunyach MP, Ibarrola D, Noël G, Truc G, Walker P, Magné N, Charissoux M, Ken S, Peran P, Berry I, Moyal EC, Laprie A
- Issue date: 2016 Nov
- Identifying Voxels at Risk for Progression in Glioblastoma Based on Dosimetry, Physiologic and Metabolic MRI.
- Authors: Anwar M, Molinaro AM, Morin O, Chang SM, Haas-Kogan DA, Nelson SJ, Lupo JM
- Issue date: 2017 Sep
- Voxel-based evidence of perfusion normalization in glioblastoma patients included in a phase I-II trial of radiotherapy/tipifarnib combination.
- Authors: Ken S, Deviers A, Filleron T, Catalaa I, Lotterie JA, Khalifa J, Lubrano V, Berry I, Péran P, Celsis P, Moyal EC, Laprie A
- Issue date: 2015 Sep
- Distinguishing Tumor Recurrence From Radiation Necrosis in Treated Glioblastoma Using Multiparametric MRI.
- Authors: Feng A, Yuan P, Huang T, Li L, Lyu J
- Issue date: 2022 Sep