Rotating Frame Relaxation and Diffusion Weighted Imaging of Human Gliomas

NCT ID: NCT02186262

Last Updated: 2018-06-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

36 participants

Study Classification

OBSERVATIONAL

Study Start Date

2014-03-31

Study Completion Date

2017-12-31

Brief Summary

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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.

Detailed Description

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Conditions

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Low Grade Glioma Malignant Glioma

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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Primary gliomas, Recurrent gliomas

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Age: 18 to 80 years old
* Language spoken: Finnish or Swedish
* Performance status: Karnofsky score 70 or better or WHO performance status 2 or better
* Supratentorial primary malignant glioma (the diagnosis is based on radiological and clinical grounds)
* Supratentorial recurrent glioma based on MRI and/or \[11C\]methionine PET imaging
* Patient is scheduled to either surgery or stereotactic biopsy
* Mental status: Patients must be able to understand the meaning of the study
* Informed consent: The patient must sign the appropriate Ethical Committee (EC) approved informed consent documents in the presence of the designated staff

Exclusion Criteria

* Prior medical history: Patient must have no history of serious cardiovascular, liver or kidney disease
* Any psychiatric condition that compromises the subject's ability to participate in the study
* Infections: Patient must not have an uncontrolled serious infection
* No contraindications for MRI (cardiac pacemaker, intracranial clips etc)
* Patient must not have claustrophobia with serious symptoms
* Pregnant or lactating women
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Turku University Hospital

OTHER_GOV

Sponsor Role lead

Responsible Party

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Heikki Minn

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Heikki R Minn, Professor

Role: PRINCIPAL_INVESTIGATOR

Turku University Hospital, Department of Oncology and Radiotherapy

Locations

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Turku University Hospital

Turku, , Finland

Site Status

Countries

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Finland

Other Identifiers

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1234

Identifier Type: -

Identifier Source: org_study_id

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