Chest X-ray findings comparison between multi-drug-resistant tuberculosis and drug-sensitive tuberculosis

Abstract Tuberculosis(TB) is one of the top 10 causes of death worldwide, and drug-resistant TB is a major public health concern especially in resource-constrained countries. In such countries, molecular diagnosis of drug-resistant TB remains a challenge; and imaging tools such as X-rays, which are cheaply and widely available, can be a valuable supplemental resource for early detection and screening. This study uses a specialized convolutional neural network to perform binary classification of chest X-ray images to classify drug-resistant and drug-sensitive TB. The models were trained and validated using the TBPortals dataset which contains 2,973 labeled X-ray images from TB patients. The classifiers were able to identify the presence or absence of drug-resistant Tuberculosis with an AUROC between 0.66–0.67, which is an improvement over previous attempts using deep learning networks.

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Abstract #1036 Hypothyroidism Induced by Multi Drug Resistant Tuberculosis (MDR-TB) Treatment

Endocrine Practice ◽

10.1016/s1530-891x(20)47401-4 ◽

2018 ◽

Vol 24 ◽

pp. 236

Author(s):

Rulli Rosandi

Keyword(s):

Drug Resistant ◽

Drug Resistant Tuberculosis ◽

Tb Treatment ◽

Resistant Tuberculosis ◽

Multi Drug Resistant Tuberculosis ◽

Mdr Tb

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Exploring patient-provider factors for risk of developing Multi-drug Resistance Tuberculosis in Southern Ethiopia: Qualitative Operation Research (Preprint)

10.2196/preprints.13366 ◽

2019 ◽

Author(s):

Yitagesu Habtu ◽

Tesema Bereku ◽

Girma Alemu ◽

Ermias Abera

Keyword(s):

Phenomenological Study ◽

Treatment Success ◽

World Health ◽

Multi Drug Resistance ◽

Southern Ethiopia ◽

Drug Resistant ◽

Related Factors ◽

Drug Resistant Tuberculosis ◽

Resistant Tuberculosis ◽

Multi Drug Resistant Tuberculosis

BACKGROUND Ethiopia is one of among thirty high burden countries of multi-drug resistant tuberculosis (MDR-TB) in the regions of world health organization. Contextual evidence on the emergence of the disease is limited at a program level. OBJECTIVE The aim of the study is to explore patient-provider factors that may facilitate the emergence of multi-drug resistant tuberculosis. METHODS We used a phenomenological study design of qualitative approach from June to July, 2015. We conducted ten in-depth interviews and 4 focus group discussions with purposely selected patients and providers. We designed and used an interview guide to collect data. Verbatim transcribes were exported to open code 3.4 for emerging thematic analysis. Domain summaries were used to support core interpretation. RESULTS The study explored patient-provider factors facilitating the emergence of multi-drug resistant tuberculosis. These factors as underlying, health system and patient-related factors. Especially, the a shows conflicting finding between having a history of discontinuing drug-susceptible tuberculosis and emergence of multi-drug resistant tuberculosis. CONCLUSIONS The patient-provider factors may result in poor early case identification, adherence to and treatment success in drug sensitive or multi-drug resistant tuberculosis. Our study implies the need for awareness creation about multi-drug resistant tuberculosis for patients and further familiarization for providers. This study also shows that patients developed multi-drug resistant tuberculosis though they had never discontinued their drug-susceptible tuberculosis treatment. Therefore, further studies may require for this discording finding.

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