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Malignant TumorsNCT05293990

Usefulness of Gadovist-enhanced FLAIR Imaging

A study testing Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis in people with Malignant Tumors and Brain Lymphoma, run by Ryoo, In Seon at 1 site in South Korea.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

Polyplastic glioblastoma and metastatic brain cancer are the most common malignant brain tumors in adults. The primary diagnostic test for tumors in the brain shows magnetic resonance imaging or similar imaging findings (especially single metastatic brain cancer) that make it difficult to distinguish between these two… Read more about this study

Who is it for?
Ages 19 years and older
Conditions the study is for
Malignant Tumors, Brain Lymphoma, CNS Lymphoma
What is being tested?
Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis
Type of treatment
Surgery or procedure
Could I receive a placebo?
No, everyone receives an active treatment
How many people
60 participants
Where
1 siteSouth Korea
Study dates
2 Feb 2017to 25 Jan 2021
Phase
Interventional
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 19 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • All patients who undergo treatment, including surgery, after examining contrast-enhanced MR with an intra-brain mass that must exclude malignant tumors.
  • Adults over 19 years of age at the time of examination
  • Patients who agreed to this clinical study

Who cannot join

  • In the case of severe cognitive of dysfunction or neurological defects (mRS>3)
  • Pregnant or lactating patient
  • Patients who are allergic to MRI contrast agents or cannot perform MRI for other reasons.
  • Patients participating in other drug clinical trials as of the screening day (observation studies are possible)

Trial locations and contacts

1 site in 1 country.

South Korea1 site
  • Korea University Guro Hospital

    Seoul, Gurogu, 08308

Other trials in South Korea

About this study

Official title: Usefulness of Gadovist-enhanced FLAIR Imaging in Differentiation Between a Glioblastoma and Solitary Brain Metastasis: Single Center Prospective Study

Polyplastic glioblastoma and metastatic brain cancer are the most common malignant brain tumors in adults. The primary diagnostic test for tumors in the brain shows magnetic resonance imaging or similar imaging findings (especially single metastatic brain cancer) that make it difficult to distinguish between these two diseases. In addition, due to the specificity of the tissue called the brain, biopsy is not easy and sometimes biopsy is difficult, so non-invasive discrimination is often important, and it is important how much prediction is made before the biopsy. To solve this problem, various advanced magnetic resonance imaging techniques have been studied, but they are all tests that need to be additionally conducted on ordinary magnetic resonance images, and there are many subjective factors, so complex data and statistical processing methods, and many cannot be easily tested. In addition, in all of these tests, accuracy is still reported at around 60%. Therefore, if contrast-enhanced FLAIR images can be obtained along with contrast-enhanced T1 images performed during conventional magnetic resonance imaging tests to help differentiate between two diseases, it will greatly help diagnose and treat brain tumor patients and facilitate clinical application.

Read the detailed description

Polyplastic glioblastoma and metastatic brain tumors are the most common brain tumors in adults. Polyplastic glioblastoma is the most common tumor among malignant primary brain tumors, and metastatic brain tumors are the most common brain tumors in adults. In the diagnosis of brain tumors, magnetic resonance imaging is the most basic and primary imaging technique to date. However, in the case of a single metastatic brain tumor, the tumor shape, signal intensity, contrast enhancement pattern, and peripheral signal intensity appear so similar that they are hardly distinguished from polymorphic glioblastoma in conventional magnetic resonance images. However, it is very important to distinguish between the two diseases because the above two diseases have completely different characteristics in clinical aspects, surgical method decisions, treatment decisions, and prognosis. Obtaining histological results will be the ultimate answer, but due to the nature of tissue called the brain, non-invasive tests are preferred, and sometimes patients (e.g., cardiovascular disease) or lesions themselves cannot handle surgery are in a very important part of the brain, so it depends on imaging techniques. In addition, the distinction between the two diseases through imaging is important in that it is important to predict in advance even if biopsy is performed through surgery. Therefore, various advanced magnetic resonance imaging techniques such as diffusion-enhanced imaging (DWI), perfusion imaging (perfusion), and spectroscopic imaging (MR spectroscopy) have been attempted to better differentiate the two diseases through imaging tests. However, these images are additional imaging tests that need to be obtained after obtaining conventional magnetic resonance images and are usually accompanied by complex and various statistical analyses due to many subjective elements. In addition, there are tests that are difficult to conduct other than large hospitals with a certain size or larger. Nevertheless, the accuracy of the discrimination between the two diseases to date is around 60%. In addition, such tests are often difficult to perform in most hospitals, except for large hospitals with a certain size or larger. Therefore, if the two diseases can be better identified in conventional magnetic resonance imaging, it will be of great help to patient care clinically and it is expected that actual clinical application will be easier. Contrast-enhanced T1 highlighted images are always performed in conventional magnetic resonance images, and after that, one more FLAIR image is obtained to see if contrast-enhanced FLAIR images are helpful in differentiating the two diseases.

Being tested
Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis
Medical subject headings
Neoplasms

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasisRadiation

    Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis

Study groups in NCT05293990
Study groupRoleWhat they receive
Contrast-enhanced fluid attenuated inversion recoveryOtherConfirmation of the difference between FLAIR contrast enhancement and T1 contrast enhancement patterns-->PACS monitor shows the maximum dimension of FLAIR and T1 contrast enhancement by two neurology radiologists on FLAIR and T1 contrast enhancement images. In addition, the maximum diameter of the T2 high-signal lesion around the tumor is obtained using FLAIR images before contrast in the same plane. (Dt2)
Receives: Radiation: Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Number of participants with treatment-related adverse events as assessed by axial FLAIR and axial spin-echo T1-weighted image

    Two 3.0 Tesla MR machines (MAGNETOM Trio A Tim and MAGNETOM Prisma; Siemens, Erlangen, Germany) were used in this study. The protocol consisted of axial FLAIR (TR/TE/TI=9,000/100/2,500 milliseconds, with slice thickness of 2 mm) and axial spin-echo T1-weighted image (TR/TE=675/8.9 milliseconds, with slice thickness of 2 mm). After both pre-enhancement images are acquired, CE-T1WI and CE-FLAIR sequences were obtained 5 and 10 minutes after administering gadolinium-based contrast agents, respectively. Gadobutrol (Gadovist™, 0.1 millimol per kilogram of body weight, Schering AG, Berlin, Germany) was used as the contrast agent, via automated injector (Spectris MR; Medrad Europe, Maastricht, Netherlands). Subtraction images for both CE-FLAIR and CE-T1WI sequences were also obtained. Detailed protocol image sequence parameter is provided in shown in Online Resource 2.

    Measured: about 5 year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted24 Mar 2022
  2. Study start2 Feb 2017
  3. Primary completion25 Jan 2021
  4. Study completion25 Jan 2021

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Diagnosis
Allocation
Not applicable
Intervention model
Single group
Model description
For a single malignant mass in the brain, conventional T1 highlighted contrast enhancement findings and histological results (glioblastoma/metastatic brain cancer) were compared and analyzed, followed by diagnosing a single brain mass (Df/Dt1, Dt2/Dt1, Dt2/Df ratio) and histological results.
Masking
None (open label)
Enrolment
60 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05293990
Sponsor's protocol ID
2017GR0776
Status last verified
Mar 2022
First submitted
8 Feb 2022
Last updated
24 Mar 2022
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

A study testing Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis in people with Malignant Tumors and Brain Lymphoma, run by Ryoo, In Seon at 1 site in South Korea.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 24 Mar 2022. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in South Korea. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Number of participants with treatment-related adverse events as assessed by axial FLAIR and axial spin-echo T1-weighted image (time frame: about 5 year). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Mar 2022.

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