- 저자장 영구자석 자기공명영상 장치하의 두 개내 종양의 영상소견
- ㆍ 저자명
- 김희진
- ㆍ 간행물명
- 대한방사선의학회지
- ㆍ 권/호정보
- 1993년|29권 5호|pp.869-875 (7 pages)
- ㆍ 발행정보
- 대한영상의학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
In this report we desscribe twenty-two cases of intracranial tumors studied with an MR imager operating at a field strength of 0.064T for evaluation of the clinical utility of low tesla MRI. The comfirmed diagnoses were meningioma (9cases), astrocytoma (4 cases), glioblastome multiforme (1 case), craniopharyngioma (2 cases), intracranial metastasis (1 case), pituitary microadenoma(1 case), hemangioblastoma (1 case), and trigerminal neurilemmoma(1 case). Meningiomas apperaed as well-marginated, homogeneous signal intensity masses (67%) in most cases. Most meningiomas showed iso-signal intensity (78%) on T1-weighted images, and high signal intensity on T2-weighted images. After GD-DTPA enhancement, diffuse homogemeous contrast enhancement (75%) was well seen. The multiple hemorrhagic foci within the glioblastoma multiforme were identified, which showed high signal intensity on T1- weighed images and low signal intensity on T2-weighted images (intracellular methemoglo-bin), or high signal intensity on both T1 and T2-weighted images (extracellular methemoglobin). One case of cerebellar hemangioblastoma was a well-defined cystic mass with contrast enhanced mural module but no identification of characteristic signal void vessels. The reminaning tumors showed low signal intensity on T1- weighted images, and high signal intensity on T2-weighted images. GD-DTPA enhancement was helpful in separating the lesion from the surrounding edema or normal tissue, but had limited diagnostic value in characterizing the nature of the mass. The advantages of low tesla MRI are as follows : on requirement of cooling water or electrictiy, open design, shorter T1 relaxation time compared with high tesla unit that increases the difference of T1-relaxation time between tissues, ease of installation, and cost effectiveness. In conclusion, the low tesla MRI is useful for the detection and evaluation of the brain tumors.