Journal of the Korean Society of Radiology (대한영상의학회지)

The Korean Society of Radiology (대한영상의학회)
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Radiologic Evaluation of Uterine Lesions Using a Pattern Recognition Approach

패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가

  • Na Young Lee (Department of Radiology, Soonchunghyang University Hospital) ;
  • Eun Ji Lee (Department of Radiology, Soonchunghyang University Hospital) ;
  • Seong Sook Hong (Department of Radiology, Soonchunghyang University Hospital) ;
  • Jiyoung Hwang (Department of Radiology, Soonchunghyang University Hospital) ;
  • Yun-Woo Chang (Department of Radiology, Soonchunghyang University Hospital) ;
  • Eunsun Oh (Department of Radiology, Soonchunghyang University Hospital) ;
  • Boda Nam (Department of Radiology, Soonchunghyang University Hospital) ;
  • Jewon Jeong (Department of Radiology, Soonchunghyang University Hospital)
  • 이나영 (순천향대학교 부속서울병원 영상의학과) ;
  • 이은지 (순천향대학교 부속서울병원 영상의학과) ;
  • 홍성숙 (순천향대학교 부속서울병원 영상의학과) ;
  • 황지영 (순천향대학교 부속서울병원 영상의학과) ;
  • 장윤우 (순천향대학교 부속서울병원 영상의학과) ;
  • 오은선 (순천향대학교 부속서울병원 영상의학과) ;
  • 남보다 (순천향대학교 부속서울병원 영상의학과) ;
  • 정제원 (순천향대학교 부속서울병원 영상의학과)
  • Received : 2022.01.12
  • Accepted : 2022.08.06
  • Published : 2023.01.01
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Abstract

It is important to distinguish uterine lesions from other lesions occurring in the pelvic cavity for the proper management. The primary radiological evaluation of uterine lesions is performed using transvaginal ultrasonography, and if the lesion is too large or shows atypical benign imaging findings, magnetic resonance imaging should be performed. Analyzing radiological findings of uterine lesions through a pattern recognition approach can help establish the accurate diagnosis and treatment plan. In this pictorial assay, we describe imaging characteristics of various lesions arising from the uterus and evaluate them based on the pattern recognition approach.

자궁에 생기는 병변들의 특성을 파악하고 다른 골반강 내에 생기는 병변들과 감별하는 것은 추후 환자의 치료 방향을 결정하는데 있어 중요하다. 자궁의 병변에 대한 평가는 일차적으로 초음파로 이루어지며 자기공명영상이 추가적인 정보를 제공할 수 있다. 병변이 주로 어디에 위치하고 있는지, 병변의 경계와 범위, 내부의 성상 및 혈류공급 정도 등의 패턴 인식법에 기반해 자궁 병변을 평하가는 것은 양성과 악성병변을 구분하고 정확하고 효율적인 감별진단을 내리는 데 도움을 줄 수 있다.

Keywords

References

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