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Utility of an Automatic Vision-Based Examination System (AVE-562) for the Detection of Clonorchis sinensis Eggs in Stool
- Source :
- Annals of Laboratory Medicine. 41:221-224
- Publication Year :
- 2021
- Publisher :
- Annals of Laboratory Medicine, 2021.
-
Abstract
- Stool examination is the gold standard for the detection of intestinal parasites. We assessed the performance of a newly developed AVE-562 analyzer (AVE Science & Technology Co., Hunan, China) for the vision-based detection of eggs of Clonorchis sinensis-the most common intestinal parasite in Korea-in stool samples. In total, 30 stool samples with a high or low egg count or without eggs (as negative control samples) (N=10 each) were prepared and analyzed. The performance of the AVE-562 analyzer was compared with that of the formalin-ether concentration (FEC) method. The overall correct identification rate of the AVE-562 analyzer based on FEC results was 66.6%. The sensitivity, specificity, positive predictive value, and negative predictive value of the AVE-562 analyzer for detecting C. sinensis eggs were 36.4%, 100.0%, 100.0%, and 73.1%, respectively. The average time required to run five tests simultaneously was 27 min using the AVE-562 analyzer and 58 min using the FEC method. Although the AVE-562 analyzer enables rapid and convenient stool examination, its sensitivity needs to be improved, particularly considering the prevalence of low-burden C. sinensis infection in Korea.
- Subjects :
- 0301 basic medicine
Veterinary medicine
Spectrum analyzer
Clonorchis sinensis
biology
Vision based
030106 microbiology
030231 tropical medicine
Biochemistry (medical)
Clinical Biochemistry
Intestinal parasite
Negative control
General Medicine
Gold standard (test)
biology.organism_classification
medicine.disease_cause
Predictive value
Identification rate
03 medical and health sciences
0302 clinical medicine
medicine
Subjects
Details
- ISSN :
- 22343814 and 22343806
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Annals of Laboratory Medicine
- Accession number :
- edsair.doi...........b410c152f69482d41c6663442345d4ef