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Association of coronary artery calcium score with calcification and degree of stenosis: An autopsy study.

AbstractINTRODUCTION:
Coronary artery disease (CAD) is a known cause of major cardiovascular events and calcium score (CS) has been developed as a marker of coronary atherosclerosis. Yet, the relationship between post mortem computed tomography (PMCT) CS with histologically observed calcification and the severity of coronary artery stenosis has not been widely explored and is still unclear. This study aims to determine the association between coronary artery PMCT CS with histologically observed calcification and degree of stenosis of coronary arteries in post-mortem cases.
MATERIALS & METHODS:
This was a cross-sectional study involving 101 subjects recruited from the National Institute of Forensic Medicine (IPFN) Hospital Kuala Lumpur (HKL) over a period of 15 months, from December 2012 until April 2014. PMCT CS of the coronary arteries was calculated using Agatston-Janowitz score. Histological presence of calcification was observed and the degree of stenosis was calculated using an image analysis technique.
RESULTS:
PMCT CS increased with increasing severity of stenosis (p<0.001). PMCT CS showed a positive correlation with the presence of calcification (r=-0.82, p<0.001).
CONCLUSION:
Calcium score is strongly associated with coronary artery calcification and the degree of luminal stenosis in post mortem subjects. Thus, PMCT may be useful as a non-invasive tool in diagnosing CAD in the event that an autopsy is not possible.
AuthorsM Kaur, R Rahimi, F Razali, N Mohd Noor, E Omar, Z Abdul Manaf, M S Mahmood, N Abdullah, H Nawawi
JournalThe Malaysian journal of pathology (Malays J Pathol) Vol. 41 Issue 2 Pg. 177-183 (Aug 2019) ISSN: 0126-8635 [Print] Malaysia
PMID31427553 (Publication Type: Journal Article)
Chemical References
  • Calcium
Topics
  • Adult
  • Autopsy
  • Calcinosis (diagnosis, pathology)
  • Calcium
  • Coronary Stenosis (diagnosis, pathology)
  • Coronary Vessels (diagnostic imaging, pathology)
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Tomography, X-Ray Computed

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