Evaluation of MetaSystems Automated Fluorescent Microscopy System for the Machine-Assisted Detection of Acid-Fast Bacilli in Clinical Samples.
Gianna TomaselloFarnaz ForoughiDanielle PadronAngel MorenoNiaz BanaeiPublished in: Journal of clinical microbiology (2022)
Manual reading of fluorescent acid-fast bacilli (AFB) microscopy slides is time-intensive and technically demanding. The aim of this study was to evaluate the accuracy of MetaSystems' automated fluorescent AFB slide scanner and analyzer. Auramine O-stained slides corresponding to 133 culture-positive and 363 culture-negative respiratory (<i>n</i> = 284), tissue (<i>n</i> = 120), body fluid (<i>n</i> = 81), and other (<i>n</i> = 11) sources were evaluated with the MetaSystems Mycobacteria Scanner running the NEON Metafer AFB Module. The sensitivity and specificity of the MetaSystems platform was measured as a standalone diagnostic and as an assistant to technologists to review positive images. Culture results were used as the reference method. The MetaSystems platform failed to scan 57 (11.5%) slides. The MetaSystems platform used as a standalone had a sensitivity of 97.0% (129/133; 95% CI 92.5 to 99.2) and specificity of 12.7% (46/363; 95% CI 9.4 to 16.5). When positive scans were used to assist technologists, the MetaSystems platform had a sensitivity of 70.7% (94/133; 95% CI 62.2 to 78.3) and specificity of 89.0% (323/363; 95% CI 85.3 to 92.0). The manual microscopy method had a sensitivity of 79.7% (106/133; 95% CI 71.9 to 86.2) and specificity of 98.6% (358/363; 95% CI 96.8 to 99.6). The sensitivity of the MetaSystems platform was not impacted by smear grade or mycobacterial species. The majority (70.3%) of false positive smears had ≥2+ smear results with the MetaSystems platform. Further performance improvements are needed before the MetaSystems' automated fluorescent AFB slide reader can be used to assist microscopist in the clinical laboratory.
Keyphrases
- high throughput
- label free
- deep learning
- quantum dots
- living cells
- single molecule
- single cell
- computed tomography
- high resolution
- machine learning
- optical coherence tomography
- high speed
- gram negative
- pulmonary tuberculosis
- magnetic resonance imaging
- magnetic resonance
- high intensity
- multidrug resistant
- loop mediated isothermal amplification
- respiratory tract
- contrast enhanced
- neural network
- real time pcr