Back to search

Article

Radiologist observations of chest X-rays (CXR) predict sputum smear microscopy status in TB Portals, a real-world database of tuberculosis (TB) cases

2022-04-22

Abstract excerpt

The Tuberculosis (TB) Portals is an international program of 14 countries connecting clinical, genomic, and radiologist specialists to develop an openly available repository of deidentified TB cases with multi-modal data such as case clinical characteristics, pathogen genomics, and radiomics. This real-world data resource contains over 4000 TB cases, principally drug resistant cases, with over 4000 chest X-rays (C...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6573239d-9b81-5657-a7cb-cc188ecd2927
DOI
10.1101/2022.04.21.22273975
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Radiologist observations of chest X-rays (CXR) predict sputum smear microscopy status in TB Portals, a real-world database of tuberculosis (TB) casesDOI 10.1101/2022.04.21.22273975
Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosisSemantic proximity
Whole-Lung CT Radiomics-Based Machine Learning Classification of Nontuberculous Mycobacterial Lung Disease Across Geographically Distinct CohortsSemantic proximity
Analysis of a Large Patient-Level Dataset to Predict Outcome of Treatment for Drug-Resistant TuberculosisSemantic proximity
CT-Based Radiomics Analysis of Consolidation Characteristics in Differentiating Pulmonary Disease of Nontuberculous Mycobacterium from TuberculosisSemantic proximity
A structural and metabolic framework for classifying pre-clinical tuberculosis infection phenotypes using 18F-FDG PET-CT: a prospective cohort analysis following M. tuberculosis exposure.Semantic proximity
The Value of CT Radiomics Analysis of Cavity Characteristics In Differentiating Nontuberculous Mycobacteriumpulmonary Disease From Pulmonary TuberculosisSemantic proximity
Multicenter Chest Radiographic Findings from Ethiopia with Radiologist-Generated AnnotationsSemantic proximity
Assessing Diagnostic Accuracy and Viability of AI-Assisted Tuberculosis Detection in Northern Indian Healthcare Facilities: A Multicenter StudySemantic proximity
Visualizing the dynamics of tuberculosis pathology using molecular imagingSemantic proximity
Cohort profile: St. Michael’s Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processingSemantic proximity
Identification of diagnostic biomarkers and molecular subtype analysis associated with m6A in Tuberculosis immunopathology using machine learningSemantic proximity
A multicenter spatial transcriptomics atlas of human tuberculosis and non-tuberculous mycobacterial diseaseSemantic proximity
Select a neighboring publication to make it the new centre.