대한영상의학회지 (Journal of the Korean Society of Radiology)

  • 제82권4호
  • /
  • Pages.808-816
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  • 2021
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  • 1738-2637(pISSN)
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  • 2288-2928(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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폐기종의 시각적 분류 및 정량적 평가

Pulmonary Emphysema: Visual Interpretation and Quantitative Analysis

  • 김지항 (분당서울대학교병원 영상의학과)
  • Jihang Kim (Department of Radiology, Seoul National University Bundang Hospital)
  • 투고 : 2021.05.07
  • 심사 : 2021.07.04
  • 발행 : 2021.07.01
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초록

폐기종은 만성 폐쇄성 폐질환을 유발하는 질환으로, CT는 폐기종을 정확하게 진단하는 데 가장 유용한 검사이다. 폐기종의 중증도는 시각적 분류 혹은 정량적 분석 등의 방법으로 평가할 수 있으며, 최근에는 딥러닝을 활용한 폐기종 연구도 다양하게 이루어지고 있다. 이러한 폐기종의 중증도 분류 방법은 다양한 연구에서 그 임상적 유용성을 입증받고 있으며, 한계점으로 지적되고 있는 측정의 신뢰성을 향상시키려는 노력 또한 이어지고 있다.

Pulmonary emphysema is a cause of chronic obstructive pulmonary disease. Emphysema can be accurately diagnosed via CT. The severity of emphysema can be assessed using visual interpretation or quantitative analysis. Various studies on emphysema using deep learning have also been conducted. Although the classification of emphysema has proven clinically useful, there is a need to improve the reliability of the measurement.

키워드

참고문헌

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