• Title/Summary/Keyword: 동맥 경화증

Search Result 265, Processing Time 0.028 seconds

Diagnosis Atherosclerosis Model Using Radiomics Approach in Carotid Vessel MRI (경동맥 혈관 MRI에서 라디오믹스를 이용한 동맥경화증 진단 모델)

  • Kim, Jong-hun;Park, Hyunjin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.10a
    • /
    • pp.289-290
    • /
    • 2022
  • Arteriosclerosis is a disease in which the carotid vessel wall becomes thick, and it is important to monitor the thickness of the vessel wall for diagnosis. In this study, we propose a model for extracting 324 radiomics features from carotid MRI images and diagnosing arteriosclerosis using machine learning techniques. We learned a total of four classification models: logistic regression, support vector machine, random forest, and XGBoost through radiomics features. XGBoost model, which showed the highest performance in 5-fold cross-validation, shows the results of accuracy 0.9023, sensitivity 0.9517, specificity 0.8035, AUC 0.8776.

  • PDF

SE-LSTMNet Model Using Polar Conversion for Diagnosis of Atherosclerosis (죽상동맥경화증 진단을 위한 극좌표 변환과 SE-LSTMNet 모델)

  • Na, In-ye;Park, Hyunjin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.10a
    • /
    • pp.294-296
    • /
    • 2022
  • Atherosclerosis is a chronic vascular inflammatory disease in which plaque builds up in the arteries and impairs blood flow. This can lead to heart disease and stroke. Since most people do not have any symptoms until the artery is severely narrowed, early detection of atherosclerosis is critical. In this paper, in order to effectively detect atherosclerotic lesions in tube-shaped blood vessels, polar conversion is applied to MRI images based on the vessel center. We then propose a SE-LSTMNet model using continuous signal information for each angle of a polar coordinate image. The trained model showed classification performance of 0.9194 accuracy, 0.9370 sensitivity, 0.8796 specificity, 0.8700 F1 score, and 0.9719 AUC on the validation data.

  • PDF

Fibrocalcific Embolism of Right Coronary Artery Combined with Aortic Valvular Stenosis (대동맥판협착증에 동반된 우관상동맥의 석회성 색전증)

  • 장성욱;박정옥;김영권;이명용;류재욱;박성식;서필원;김삼현
    • Journal of Chest Surgery
    • /
    • v.36 no.11
    • /
    • pp.858-861
    • /
    • 2003
  • The main cause of ischemic heart disease combined with aortic valve disease is the systemic atherosclerotic process. Coronary artery embolism by a particle from the calcified aortic valvular tissue is very rare. A 73-year-old female patient was admitted due to chest tightness of recent onset. Two dimensional echocardiogram showed severe calcific aortic valve stenosis. Preoperative coronary angiogram exhibited a stenotic lesion at the distal right coronary artery, which seemed to be embolic in origin. The coronary embolus was removed through the coronary arteriotomy and then the arteriotomy site was repaired by onlay patch angioplasty technique. Aortic valve was replaced by a bioprosthetic valve. The embolus was reported as a fibrocalcified particle of diseased valve.