Forskning
Udskriv Udskriv
Switch language
Rigshospitalet - en del af Københavns Universitetshospital
Udgivet

Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Assessment of acute bone loading in humans using [18F]NaF PET/MRI

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Clinical utility of FDG-PET for the differential diagnosis among the main forms of dementia

    Publikation: Bidrag til tidsskriftReviewForskningpeer review

  1. A visual rating scale for cingulate island sign on 18F-FDG-PET to differentiate dementia with Lewy bodies and Alzheimer's disease

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Relation of cardiac adipose tissue to coronary calcification and myocardial microvascular function in type 1 and type 2 diabetes

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Soluble Markers of Interleukin 1 Activation as Predictors of First-Time Myocardial Infarction in HIV-Infected Individuals

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. FDG-PET/CT in the surveillance of head and neck cancer following radiotherapy

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

BACKGROUND: Recurrence in glioblastoma patients often occur close to the original tumour and indicates that the current treatment is inadequate for local tumour control. In this study, we explored the feasibility of using multi-modality imaging at the time of radiotherapy planning. Specifically, we aimed to identify parameters from pre-treatment PET and MRI with potential to predict tumour recurrence.

MATERIALS AND METHODS: Sixteen patients were prospectively recruited and treated according to established guidelines. Multi-parametric imaging with 18F-FET PET/CT and 18F-FDG PET/MR including diffusion and dynamic contrast enhanced perfusion MRI were performed before radiotherapy. Correlations between imaging parameters were calculated. Imaging was related to the voxel-wise outcome at the time of tumour recurrence. Within the radiotherapy target, median differences of imaging parameters in recurring and non-recurring voxels were calculated for contrast-enhancing lesion (CEL), non-enhancing lesion (NEL), and normal appearing grey and white matter. Logistic regression models were created to predict the patient-specific probability of recurrence. The most important parameters were identified using standardized model coefficients.

RESULTS: Significant median differences between recurring and non-recurring voxels were observed for FDG, FET, fractional anisotropy, mean diffusivity, mean transit time, extra-vascular, extra-cellular blood volume and permeability derived from scans prior to chemo-radiotherapy. Tissue-specific patterns of voxel-wise correlations were observed. The most pronounced correlations were observed for 18F-FDG- and 18F-FET-uptake in CEL and NEL. Voxel-wise modelling of recurrence probability resulted in area under the receiver operating characteristic curve of 0.77 from scans prior to therapy. Overall, FET proved to be the most important parameter for recurrence prediction.

CONCLUSION: Multi-parametric imaging before radiotherapy is feasible and significant differences in imaging parameters between recurring and non-recurring voxels were observed. Combining parameters in a logistic regression model enabled patient-specific maps of recurrence probability, where 18F-FET proved to be most important. This strategy could enable risk-adapted radiotherapy planning.

OriginalsprogEngelsk
TidsskriftEuropean Journal of Nuclear Medicine and Molecular Imaging
Vol/bind46
Udgave nummer3
Sider (fra-til)603-13
ISSN1619-7070
DOI
StatusUdgivet - 2019

ID: 55865997