Advanced MR Techniques in Detection of Tumor Infiltration and Grading in Gliomas

September 28, 2011 updated by: Universitaire Ziekenhuizen KU Leuven

Diffusion Kurtosis Imaging en MR Spectroscopy in Grading and the Characterization of Tumour Infiltration in Gliomas

In this study, we evaluate the role of diffusion kurtosis imaging (DKI) and MR spectroscopy (MRS), two advanced imaging techniques in magnetic resonance (MR) in grading and detection of microscopic infiltrating tumour in gliomas. These parameters are of utmost importance in optimal choice and planning of treatment.

Patients treated with gliomatous brain tumours are included voluntarily. They undergo one imaging session on a 3T MR scanner prior to treatment.

DKI data are quantitively analyzed in order to estimate specific parameters in normal appearing white matter, grey matter, tumor and peritumoral edema. MRS data are analyzed quantitatively and qualitatively with peak integration, ratio calculation and classification algorithms. Histological confirmation is obtained at subsequent surgery.

Information from this study can be of significant importance in avoiding brain biopsies. Furthermore, information on microscopic tumour spread can be used during neurosurgery or in radiotherapy planning. An important advantage of these advanced MR techniques is the non-invasivity and the lack of ionizing radiation, two important issues in this relatively young patient population.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Anticipated)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Belgium
    • Vlaams-Brabant
      • Leuven, Vlaams-Brabant, Belgium, 3001
        • University Hospitals of Leuven

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

patients diagnosed with a gliomatuous brain tumor, prior to treatment

Description

Inclusion Criteria:

  • diagnosis of gliomatous brain tumour

Exclusion Criteria:

  • younger than 18 years of age
  • prior treatment
  • history of neurological or neurosurgical treatment

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Time Perspectives: Prospective

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Universitaire Ziekenhuizen KU Leuven

Investigators

  • Principal Investigator: Stefan Sunaert, MD, PhD, Universitaire Ziekenhuizen KU Leuven
  • Principal Investigator: Uwe Himmelreich, PhD, Catholic University Leuven

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

July 1, 2010

Study Registration Dates

First Submitted

October 19, 2010

First Submitted That Met QC Criteria

October 19, 2010

First Posted (Estimate)

October 20, 2010

Study Record Updates

Last Update Posted (Estimate)

September 29, 2011

Last Update Submitted That Met QC Criteria

September 28, 2011

Last Verified

October 1, 2010

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • S52302

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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