[Clinical value of automated EasyNAT system for the diagnosis of tuberculosis in paraffin-embedded tissues].
Jialu Che, Zichen Liu, Kun Li, Chen Zhang, Nanying Che
PubMed · 2024-12
Abstract
OBJECTIVE: Assessing the accuracy of automated EasyNAT system for rapidly detecting paraffin-embedded tissue for the diagnosis of tuberculosis. METHODS: A retrospective analysis was conducted on 134 patients, comprising 101 with confirmed tuberculosis and 33 without tuberculosis, treated at Beijing Chest Hospital, Capital Medical University, between 2018 and 2022.The clinical diagnostic results served as the standard for assessing the diagnostic performance of the EasyNAT system in comparison to quantitative real-time polymerase chain reaction (qPCR) for tuberculosis detection in paraffin-embedded tissues.The evaluation criteria included sensitivity, specificity, positive predictive value, negative predictive value, and accuracy rate. RESULTS: >0.05).Importantly, the EasyNAT detection combined nucleic acid extraction, amplification, and analysis into one process.Compared with traditional qPCR methods, manual operation time was reduced by 2 hours, leading to an overall reduction in total testing time by 3 hours. CONCLUSION: DNA in paraffin-embedded tissues, demonstrating significant clinical utility in the pathological diagnosis of tuberculosis.
MeSH terms
- Tuberculosis
- Value (mathematics)
- Pathology
- Medicine
- Computer science