대한영상의학회지 (Journal of the Korean Society of Radiology)

  • 제82권1호
  • /
  • Pages.99-115
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  • 2021
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  • 1738-2637(pISSN)
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  • 2951-0805(eISSN)
대한영상의학회 (The Korean Society of Radiology)
권호 표지
DOI QR코드

DOI QR Code

신경계 질환에 관한 정확한 진단을 위해 다양한 보완 정보를 제공하는 독특한 영상 기법으로서의 자기화율 강조 영상

Susceptibility-Weighted Imaging as a Distinctive Imaging Technique for Providing Complementary Information for Precise Diagnosis of Neurologic Disorder

  • 전병욱 (을지대학교병원 영상의학과) ;
  • 유인규 (을지대학교병원 영상의학과) ;
  • 김태건 (을지대학교병원 영상의학과) ;
  • 김하연 (을지대학교병원 영상의학과) ;
  • 황승배 (전북대학교병원 영상의학과)
  • Byeong-Uk Jeon (Department of Radiology, Eulji University Hospital) ;
  • In Kyu Yu (Department of Radiology, Eulji University Hospital) ;
  • Tae Kun Kim (Department of Radiology, Eulji University Hospital) ;
  • Ha Youn Kim (Department of Radiology, Eulji University Hospital) ;
  • Seungbae Hwang (Department of Radiology, Chonbuk National University Hospital)
  • 투고 : 2020.03.24
  • 심사 : 2020.07.11
  • 발행 : 2021.01.01
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초록

자기공명영상 기술의 개발에 따라 다양한 종류의 시퀀스가 개발되어 방사선 진단에 큰 도움이 되었다. 다양한 자기공명영상 시퀀스 중에서 자기화율 강조 영상은 고 공간 분해능 3차원 경사 에코 시퀀스를 발전시킨 것으로 국소 자기장 왜곡에 의한 디옥시헤모글로빈, 페리틴, 헤모시데린 및 골, 광물 검출에 매우 민감하다. 이러한 영상 특징으로 인해 자기화율 강조 영상은 다양한 신경 장애의 진단과 치료에 사용되어 왔으며, 영상 화질이 향상되어 방사선 전문의에게 보다 유용한 정보를 제공할 수 있게 되었다. 다양한 신경 장애에서 발생할 수 있는 자기화율 강조 영상에 나타날 수 있는 다양한 신호의 원리를 설명하고, 독특한 영상의학적 특징을 가진 질환 혹은 물질에 대해 임상적 또는 병리학적으로 진단된 환자들에 관하여 각각의 질병에 맞추어 조사하였다. 또한 자기화율 강조 영상에서 각각의 신경 장애에서 보일 수 있는 영상의학적 특징에 대해 질환의 전반적인 정보를 함께 요약하여 정리하였다. 뇌 실질 및 주변 조직에 생기는 다양한 신경계 질환들은 자기화율 강조 영상에서 뚜렷하게 구분되는 다양한 영상학적 특징을 보인다. 이에 의해 자기화율 강조 영상은 다양한 보조적 정보를 통해 적절한 진단에 도움을 준다.

Various sequences have been developed for MRI to aid in the radiologic diagnosis. Among the various MR sequences, susceptibility-weighted imaging (SWI) is a high-spatial-resolution, three-dimensional gradient-echo MR sequence, which is very sensitive in detecting deoxyhemoglobin, ferritin, hemosiderin, and bone minerals through local magnetic field distortion. In this regard, SWI has been used for the diagnosis and treatment of various neurologic disorders, and the improved image quality has enabled to acquire more useful information for radiologists. Here, we explain the principle of various signals on SWI arising in neurological disorders and provide a retrospective review of many cases of clinically or pathologically proven disease or components with distinctive imaging features of various neurological diseases. Additionally, we outline a short and condensed overview of principles of SWI in relation to neurological disorders and describe various cases with characteristic imaging features on SWI. There are many different types diseases involving the brain parenchyma, and they have distinct SWI features. SWI is an effective imaging tool that provides complementary information for the diagnosis of various diseases.

키워드

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