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A novel strategy for interpreting the T-SPOT.TB test results read by an ELISPOT plate imager.
- Source :
-
PloS one [PLoS One] 2019 Sep 25; Vol. 14 (9), pp. e0222920. Date of Electronic Publication: 2019 Sep 25 (Print Publication: 2019). - Publication Year :
- 2019
-
Abstract
- Background: The T-SPOT.TB can be read by an ELISPOT plate imager as an alternative to a labor-intensive and time-consuming manual reading, but its accuracy has not been sufficiently discussed to date.<br />Methods: 1,423 test results obtained from manual reading using a microscope and an ELISPOT plate imager were compared. The agreement of qualitative test results was assessed using Cohen's kappa coefficient. The relationship of spot counts was studied using Bland-Altman analysis.<br />Results: The overall percent agreement of the qualitative test results was 95.43% with a kappa coefficient of 0.91. Positive test results with the maximum net spot count of 8 and borderline test results showed relatively high discordance. The agreement of spot counts in panel A, panel B, and nil control was good, and variability did not increase with higher spot counts. On the basis of study findings, a novel strategy for interpreting the test results by an ELISPOT plate imager was proposed.<br />Conclusions: To increase diagnostic accuracy, positive test results with the maximum net spot count of 8 and borderline test results should be manually confirmed. Our strategy could be a practical guide for laboratories to build their own strategies for interpreting the test results by an ELISPOT plate imager.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Antigens, Bacterial immunology
Enzyme-Linked Immunospot Assay instrumentation
Humans
Interferon-gamma Release Tests instrumentation
Latent Tuberculosis blood
Latent Tuberculosis microbiology
Mycobacterium tuberculosis immunology
Software
Enzyme-Linked Immunospot Assay methods
Interferon-gamma Release Tests methods
Latent Tuberculosis diagnosis
Mycobacterium tuberculosis isolation & purification
Signal Processing, Computer-Assisted
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 14
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 31553764
- Full Text :
- https://doi.org/10.1371/journal.pone.0222920