Predictive capabilities of baseline radiological findings for early and late disease outcomes within sensitive and multi-drug resistant tuberculosis cases.

Rosenfeld, Gabriel; Gabrielian, Andrei; Hurt, Darrell; Rosenthal, Alex

Rosenfeld, Gabriel; Gabrielian, Andrei; Hurt, Darrell; Rosenthal, Alex.

Affiliation

Rosenfeld G; Office of Cyber Infrastructure and Computational Biology, National Institutes of Allergy and Infectious Diseases, 5601 Fishers Lane, Rockville, MD 20852, USA.
Gabrielian A; Office of Cyber Infrastructure and Computational Biology, National Institutes of Allergy and Infectious Diseases, 5601 Fishers Lane, Rockville, MD 20852, USA.
Hurt D; Office of Cyber Infrastructure and Computational Biology, National Institutes of Allergy and Infectious Diseases, 5601 Fishers Lane, Rockville, MD 20852, USA.
Rosenthal A; Office of Cyber Infrastructure and Computational Biology, National Institutes of Allergy and Infectious Diseases, 5601 Fishers Lane, Rockville, MD 20852, USA.

Eur J Radiol Open ; 11: 100518, 2023 Dec.

Article in En | MEDLINE | ID: mdl-37808069

Key words

Multi-drug resistant; Radiographic features; Tuberculosis; X-ray

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Eur J Radiol Open Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom

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