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Grading of gliomas is of significant clinical importance since the prognosis as well as the treatment of choice are distinct in low-grade and high-grade gliomas. With standard MRI modalities, however, a reliable distinction is often impossible. Moreover, the gold standard for glioma grading by histopathology may also have limitations due to unrepresentative tumor samples. Therefore, more advanced MRI techniques are urgently needed that would have higher sensitivity and specificity in the definition of tumor type, grade and extent.
Assessment of radiologic response for high-grade gliomas utilizes the updated RANO criteria 12 weeks after completion of chemoradiotherapy. However, there is an urgent need to identify nonresponding patients earlier, preferentially midtreatment in order to consider alternative treatment strategies. Imaging biomarkers, such as diffusion weighted MR imaging (DWI), have provided promising results in assessing early treatment response. Furthermore, a serum biomarker with diagnostic value could improve tumor follow-up and clinical management of gliomas.
The aim of our study is to develop novel imaging protocols suitable for the magnetic resonance imaging (MRI) of glioma using advanced MRI techniques such as rotating frame imaging, novel DWI acquisition and post-processing methods We also study the correlation between advanced MRI parameters and histopathology of the tumor specimen. In addition, early treatment response is assessed with advanced MRI parameters at 3 week and 10 week after initiation of radiotherapy. Finally, our objective is to study the association between serum biomarkers and corresponding MRI with potential tumor progression.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Primary gliomas, Recurrent gliomas |
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| Measure | Description | Time Frame |
|---|---|---|
| Rotating frame relaxation and diffusion weighted MR parameters in the tumor and surrounding area | Different MR relaxation parameters (T1rho-adiabatic,T1rho-cw T2rho-adiabatic,... ) and diffusion values (ADCm, ADCk, K, f, Df, Ds,...) will be measured in the tumor and surrounding area. The quantitative values will be correlated with cancer aggressiveness and tissue bio-markers. Furthermore, tumor volume will be estimated using different quantitative values. | Prior to surgical resection |
| Measure | Description | Time Frame |
|---|---|---|
| Changes in rotating frame relaxation and diffusion weighted MR parameters in the residual tumor during therapy | Change in the different MR relaxation parameters (T1rho-adaibatic,T1rho-cw T2rho-adiabatic,... ) and diffusion values (ADCm, ADCk, K, f, Df, Ds,...) during tumor therapy will be estimated from repeated MR examinations performed before, after 3 weeks, and after 10 weeks of the beginning of radiotherapy, and 12 weeks after completion of radiotherapy. |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with a brain tumor scheduled for a surgical resection at the Turku University Hospital, Finland.
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| Name | Affiliation | Role |
|---|---|---|
| Heikki R Minn, Professor | Turku University Hospital, Department of Oncology and Radiotherapy | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Turku University Hospital | Turku | FI-20520 | Finland |
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| ID | Term |
|---|---|
| D005910 | Glioma |
| ID | Term |
|---|---|
| D018302 | Neoplasms, Neuroepithelial |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
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Whole blood, frozen tumor tissue
| Before, after 3 weeks, and after 10 weeks of the beginning of radiotherapy, and 12 weeks after completion of radiotherapy |
| D009369 | Neoplasms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009380 | Neoplasms, Nerve Tissue |