Morphological Characterization of Mycobacterium tuberculosis in a MODS Culture for an Automatic Diagnostics through Pattern Recognition

Mantari, Alicia Alva; Aquino, Fredy W.; Gilman, Robert H.; Olivares, Carlos; Requena, David; Gutiérrez, Andres H.; Caviedes, Luz; Coronel, Jorge; Larson, Sandra; Sheen, Patricia; Moore, David; Zimic, Mirko

doi:10.1371/journal.pone.0082809

Cited by 15 publications

(17 citation statements)

References 14 publications

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“…Recent work using an autofocus algorithm for automatic diagnosis through pattern recognition has already shown promise for TB detection in resource-limited settings, further reducing the need for manual labor (17,18). Our team is also near completion of an image analysis algorithm for fully automated pattern recognition (19).…”

Section: Discussionmentioning

confidence: 95%

Evaluating the Auto-MODS Assay, a Novel Tool for Tuberculosis Diagnosis for Use in Resource-Limited Settings

Wang¹,

Mohammad²,

Chaiyasirinroje³

et al. 2015

J Clin Microbiol

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There is an urgent need for simple, rapid, and affordable diagnostic tests for tuberculosis (TB) to combat the great burden of the disease in developing countries. The microscopic observation drug susceptibility assay (MODS) is a promising tool to fill this need, but it is not widely used due to concerns regarding its biosafety and efficiency. This study evaluated the automated MODS (Auto-MODS), which operates on principles similar to those of MODS but with several key modifications, making it an appealing alternative to MODS in resource-limited settings. In the operational setting of Chiang Rai, Thailand, we compared the per- T uberculosis (TB) is an infectious disease of major concern worldwide, with the majority burden borne by developing countries (1). Multidrug resistant tuberculosis (MDR-TB) is a variant strain of TB that is resistant to at least rifampin (RIF) and isoniazid (INH), the two most common TB treatments. Thailand is among the highest TB-burdened countries with an estimated 110,000 TB cases (159 cases/100,000 population) in 2012 (1). Thailand also has one of the highest burdens of MDR-TB among Southeast Asian countries (1, 2). Mycobacterial laboratories in Thailand are faced with challenges of meeting the growing demands of the TB and MDR-TB epidemics, and simple, rapid, and affordable tests are urgently needed.In the province of Chiang Rai as well as the other provinces in Thailand, the acid-fast bacillus (AFB) sputum-smear test is used in combination with chest X-ray and observation of clinical symptoms to diagnose TB in the hospital setting. Patients diagnosed in this way are registered as TB patients. This is followed by solid mycobacterial culture, which requires a long waiting period (approximately 1 month), to make a more conclusive diagnosis. Mycobacterium tuberculosis and nontuberculous mycobacteria (NTM) are not distinguished in the current practice. Liquid mycobacterial culture, which is faster but much more expensive, is used only for highly suspected TB cases in order to obtain a more definite diagnosis or for drug susceptibility testing (DST). Mycobacterial growth indicator tube (MGIT) 960 is an industry gold standard liquid mycobacterial culture apparatus, but due to its higher operational cost, it has limited use in resource-limited settings such as Chiang Rai, Thailand (3).The microscopic observation drug susceptibility (MODS) assay is a rapid, economical, and highly sensitive/specific method for the detection of M. tuberculosis and DST directly from a sputum sample which was developed by a research team in Lima, Peru (4). The test uses 24-well plates with four wells for a single patient specimen: two wells are drug free, while the other two wells contain RIF and INH. After inoculation, the plates are sealed in ziplock bags and then incubated. M. tuberculosis from sputum is rapidly grown in a liquid medium, and a diagnosis is made using morphological characterization patterns specific to M. tuberculosis following inoculation under an inverted light microscope (4). MODS has also ...

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Section: Discussionmentioning

confidence: 95%

Evaluating the Auto-MODS Assay, a Novel Tool for Tuberculosis Diagnosis for Use in Resource-Limited Settings

Wang¹,

Mohammad²,

Chaiyasirinroje³

et al. 2015

J Clin Microbiol

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“…Unlike most bacteria (duplication time of 1 h or less), they grow slowly (replication time about 18 h) (Alva et al . ).…”

Section: Mycobacterium Tuberculosis: Immunopathology Of the Diseasementioning

confidence: 97%

Mass spectrometry applied to the identification ofMycobacterium tuberculosisand biomarker discovery

et al. 2016

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Summary An adequate and effective tuberculosis (TB) diagnosis system has been identified by the World Health Organization as a priority in the fight against this disease. Over the years, several methods have been developed to identify the bacillus, but bacterial culture remains one of the most affordable methods for most countries. For rapid and accurate identification, however, it is more feasible to implement molecular techniques, taking advantage of the availability of public databases containing protein sequences. Mass spectrometry (MS) has become an interesting technique for the identification of TB. Here, we review some of the most widely employed methods for identifying Mycobacterium tuberculosis and present an update on MS applied for the identification of mycobacterial species.

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“…El tratamiento de la imagen consiste en dos secciones principales, el tratamiento de la imagen para resaltar los objetos de interés en la imagen de color y el conjunto de pasos que nos permiten filtrar y afinar los objetos digitales a fin de segmentar los objetos. Los cambios principales en el algoritmo previamente desarrollado incluyen (16) :…”

Section: Reentrenamiento De Un Algoritmo De Reconocimiento De Patroneunclassified

“…El proceso de extracción de características genera una secuencia de objetos a partir de los cuales se estiman distintos parámetros requeridos para el reconocimiento de patrones de los cordones de tuberculosis (Figura 4). Este proceso se mantuvo igual a la publicación de referencia (16). Se extrajeron 53 características de cada objeto analizado en cada fotografía de muestra de cultivo MODS.…”

Section: Extracción De Característicasunclassified

“…La conjunción de diferentes factores como el abaratamiento de los sistemas informáticos, la extensión de las redes de comunicación y el acceso a internet posibilita que el uso de las TIC en salud ofrezca posibilidades de atención sanitaria a las poblaciones más remotas (14,15) . Existen diversas experiencias previas en las que se han utilizado las TIC en la implementación de sistemas de diagnóstico remoto, creando nuevas áreas del telediagnóstico como la telecardiología, teledermatología, teleoftalmología, telepatología, telerradiología, entre otros (16,17) .…”

Section: Introductionunclassified

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Implementación de un sistema de telediagnóstico de tuberculosis y determinación de multidrogorresistencia basada en el método MODS en Trujillo, Perú

Rodríguez

Mantari

Coronel

et al. 2014

Rev Peru Med Exp Salud Publica

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RESUMENObjetivos. Implementar un sistema para el diagnóstico remoto de tuberculosis y multidrogorresistencia (MDR) usando el método Microscopic-Observation Drug Susceptibility Assay (MODS) en el Laboratorio de Micobacterias del Centro de Excelencia en Tuberculosis de Trujillo (CENEX-Trujillo). El sistema incluyó una variante de un algoritmo de reconocimiento de Mycobacterium tuberculosis recientemente reportado a partir de imágenes digitales de cultivos MODS de muestras de esputo. Materiales y métodos. Se optimizó un algoritmo de reconocimiento por medio de un reentrenamiento del modelo estadístico basado en imágenes digitales de cultivos MODS provenientes del Laboratorio de Micobacterias del CENEX-Trujillo. Se obtuvieron imágenes de 50 cultivos MODS positivos de pacientes con sospecha de tuberculosis multidrogorresistente entre enero y octubre de 2012 en el CENEX-Trujillo. Resultados. La sensibilidad y la especificidad en objetos, para reconocer cordones de tuberculosis fueron de 92,04% y de 94,93% respectivamente. La sensibilidad y la especificidad en foto, para determinar un campo positivo a tuberculoisis fueron 95,4% y de 98,07% respectivamente. Conclusiones. Los resultados demostraron la factibilidad de la implementación de telediagnóstico en lugares remotos, el cual puede contribuir con la detección temprana de tuberculosis multidrogorresistente mediante el método MODS. Palabras clave: Insuficiencia multiorgánica; Mycobacterium tuberculosis; Tuberculosis resistente a múltiples medicamentos (fuente: DECS/BIREME).ABSTRACT Objectives. To implement a system for remote diagnosis of tuberculosis and multidrug resistance (MDR) using the Microscopic-Observation Drug Susceptibility Assay (MODS) method in the Mycobacteria Laboratory, Trujillo Center of Excellence in Tuberculosis (CENEX-Trujillo). The system included a variant of an algorithm for recognition of Mycobacterium tuberculosis recently reported from digital images of MODS cultures of sputum samples. Materials and methods. The recognition algorithm was optimized using a retraining statistical model based on digital images of MODS cultures from CENEX-Trujillo. Images of 50 positive MODS cultures of patients with suspected multidrug-resistant tuberculosis were obtained between January and October 2012 in the CENEX-Trujillo. Results. The sensitivity and specificity to recognize strings of tuberculosis were 92.04% and 94.93% respectively using objects. The sensitivity and specificity to determine a positive tuberculosis field were 95.4% and 98.07% respectively using pictures. Conclusions. The results demonstrated the feasibility of the implementation of telediagnostics in remote locations, which may contribute to the early detection of multidrug-resistant tuberculosis by MODS method.

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Morphological Characterization of Mycobacterium tuberculosis in a MODS Culture for an Automatic Diagnostics through Pattern Recognition

Cited by 15 publications

References 14 publications

Evaluating the Auto-MODS Assay, a Novel Tool for Tuberculosis Diagnosis for Use in Resource-Limited Settings

Evaluating the Auto-MODS Assay, a Novel Tool for Tuberculosis Diagnosis for Use in Resource-Limited Settings

Mass spectrometry applied to the identification ofMycobacterium tuberculosisand biomarker discovery

Implementación de un sistema de telediagnóstico de tuberculosis y determinación de multidrogorresistencia basada en el método MODS en Trujillo, Perú

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