• Journal of Chest Surgery
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• v.34 no.1
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• pp.91-93
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• 2001

기계판막의 비구조적 기능이상은 판막 치환 후 생길 수 있는 심각한 합병증 중의 하나이다. 이러한 기계판막의 비구조적 기능이상은 일반적으로 1) pannus나 조직 혹은 봉합물질에 의한 장애 2) 치환 판막 주위의 틈 3) 부적절한 판막의 크기나 위치, 판막 삽입시의 잘못 등에 의해 생긴다. 저자들은 상대적으로 작은 판막륜을 가진 환자에서 치환 판막의 잘못된 위치로 야기된 pannus 형성에 의한 판막의 기능부전을 경험하였으며, 이 환자에 대해 pannus 제거 후 판막륜 확장술(닉스 술식, Nicks procedure)을 포함한 판막 재치환술을 성공적으로 시행하여 이를 보고하는 바이다.

• Journal of Chest Surgery
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• v.32 no.11
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• pp.1049-1051
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• 1999

We performed a reoperation of failed tricuspid mechanical valve in a 63-year-old female patient because the overgrown endothelial pannus had entrapped the prosthetic leaflets. Four years ago, the patient underwent mitral and tricuspid valve replacements with 31 and 33 mm Carbomedics, respectively. The patient showed symptoms of neck vein distention, abdominal distention and peripheral edema. The chest film, echocardiography and cineangiography confirmed the diagnosis of tricuspid valve. During the operation, we found the entrapped leaflets of the tricuspid valve in a partially closed state and the endothelial pannus had overgrown into the leaflets. Carpentier-Edward bovine pericardial valve was inserted and the patient was discharged with no significant events.

• Korean Journal of Plant Resources
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• v.21 no.4
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• pp.329-335
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• 2008

This study was intended to research into the possibility of corilagin (CRN) isolated from Euphorbia helioscopia as rheumatoid arthritis drug. For the study, CRN was medicated to the abdominal cavity of collagen induced arthritis (CIA) mice that was a animal model for rheumatoid arthritis and its effects on incidence and arthritis index (AI) were studied. The results were as folllows; Medicating corilagin that were isolated from Euphorbia heliscopia to CIA mice resulted in inhibiting an incidence of arthritis and reducing in arthritis index. It was found that inflammatory cells were remarkably decreased and joint cavity was well secured. Also it was displayed that the formation of pannus was not observed and a cartilage was preserved well by cell histological research. Performing fluorescence flow cytometry of CIA mice resulted in reducing in inflammatory cells infiltrated each tissue.

• Journal of Biomedical Engineering Research
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• v.25 no.5
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• pp.421-430
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• 2004

Clinically, it is almost impossible for a physician to distinguish subtle changes of frequency spectrum by using a stethoscope alone especially in the early stage of thrombus formation. Considering that reliability of mechanical valve is paramount because the failure might end up with patient death, early detection of valve thrombus using noninvasive technique is important. Thus the study was designed to provide a tool for early noninvasive detection of valve thrombus by observing shift of frequency spectrum of acoustic signals with computer aid diagnosis system. A thrombus model was constructed on commercialized mechanical valves using polyurethane or silicon. Polyurethane coating was made on the valve surface, and silicon coating on the sewing ring of the valve. To simulate pannus formation, which is fibrous tissue overgrowth obstructing the valve orifice, the degree of silicone coating on the sewing ring varied from 20％, 40％, 60％ of orifice obstruction. In experiment system, acoustic signals from the valve were measured using microphone and amplifier. The microphone was attached to a coupler to remove environmental noise. Acoustic signals were sampled by an AID converter, frequency spectrum was obtained by the algorithm of spectral analysis. To quantitatively distinguish the frequency peak of the normal valve from that of the thrombosed valves, analysis using a neural network was employed. A return map was applied to evaluate continuous monitoring of valve motion cycle. The in-vivo data also obtained from animals with mechanical valves in circulatory devices as well as patients with mechanical valve replacement for 1 year or longer before. Each spectrum wave showed a primary and secondary peak. The secondary peak showed changes according to the thrombus model. In the mock as well as the animal study, both spectral analysis and 3-layer neural network could differentiate the normal valves from thrombosed valves. In the human study, one of 10 patients showed shift of frequency spectrum, however the presence of valve thrombus was yet to be determined. Conclusively, acoustic signal measurement can be of suggestive as a noninvasive diagnostic tool in early detection of mechanical valve thrombosis.