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Usefulness of Gadovist-enhanced FLAIR Imaging

2022년 3월 14일 업데이트: Ryoo, In Seon

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.

연구 개요

상세 설명

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.

연구 유형

중재적

등록 (실제)

60

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

    • Gurogu
      • Seoul, Gurogu, 대한민국, 08308
        • Korea University Guro Hospital

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

19년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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)

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 특수 증상
  • 할당: 해당 없음
  • 중재 모델: 단일 그룹 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
다른: Contrast-enhanced fluid attenuated inversion recovery
Confirmation 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)
Usefulness of Gadovist-enhanced FLAIR imaging in differentiation between a glioblastoma and solitary brain metastasis

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Number of participants with treatment-related adverse events as assessed by axial FLAIR and axial spin-echo T1-weighted image
기간: about 5 year
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.
about 5 year

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

수사관

  • 수석 연구원: Ryoo In Seon, dotorate, Korea University Guro Hospital

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (실제)

2017년 2월 2일

기본 완료 (실제)

2021년 1월 25일

연구 완료 (실제)

2021년 1월 25일

연구 등록 날짜

최초 제출

2022년 2월 8일

QC 기준을 충족하는 최초 제출

2022년 3월 14일

처음 게시됨 (실제)

2022년 3월 24일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2022년 3월 24일

QC 기준을 충족하는 마지막 업데이트 제출

2022년 3월 14일

마지막으로 확인됨

2022년 3월 1일

추가 정보

이 연구와 관련된 용어

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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