Detection of mycobacteria in paraffin-embedded Ziehl-Neelsen-Stained tissues using digital pathology.
Tuberculosis (Edinb)
; 126: 102025, 2021 01.
Article
en En
| MEDLINE
| ID: mdl-33254011
ABSTRACT
INTRODUCTION:
Early diagnosis of paucibacillary tuberculosis represents a challenge, even with direct tissue examination. Digital pathology allows the digital analysis of tissues to identify microorganisms. We aim to develop a program to detect and quantify typical and atypical mycobacteria in paraffin-embedded Ziehl-Neelsen-stained tissues. MATERIAL ANDMETHODS:
Program development The building of the program, named Pat-Scan, included pathology, systems engineering, and scientific applications. The iScan Coreo Au scanner® was used, and 9 variables were adjusted. Ten Ziehl-Neelsen-stained samples were fragmented into 2000 images and analyzed to validate the reproducibility of the bacilli images in the tissue, as detected by the software.RESULTS:
Pat-Scan included software and a scanner that were used to detect and quantify bacilli in paraffin-embedded Ziehl-Neelsen-stained tissues. All samples containing mycobacteria were successfully analyzed by the scanner, and the bacilli could be detected; these results were validated by expert pathologists by microscopy examination, and the presence of bacilli was confirmed in all cases.CONCLUSIONS:
Pat-Scan allowed the identification and quantification of mycobacteria in paraffin-embedded Ziehl-Neelsen-stained tissues, offering a reproducible diagnostic method that reduces the time for diagnosis and does not affect precision. Further validation is needed for application in the clinical setting.Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Patología Clínica
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Tuberculosis
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Diagnóstico por Computador
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Adhesión en Parafina
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Diagnóstico Precoz
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Mycobacterium tuberculosis
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Screening_studies
Límite:
Humans
Idioma:
En
Revista:
Tuberculosis (Edinb)
Año:
2021
Tipo del documento:
Article
País de afiliación:
Colombia