Artificial intelligence-based radiographic extent analysis to predict tuberculosis treatment outcomes: a multicenter cohort study

HJ Kim, N Kwak, SH Yoon, N Park, YR Kim, JH Lee… - Scientific Reports, 2024 - nature.com
Predicting outcomes in pulmonary tuberculosis is challenging despite effective treatments.
This study aimed to identify factors influencing treatment success and culture conversion …

Significance of changes in cavity after treatment in Mycobacterium avium complex pulmonary disease

JY Kim, J Bae, K Hyung, I Lee, HJ Park, SY Kim… - Scientific Reports, 2024 - nature.com
Cavities are characteristic radiological features related to increased mycobacterial burden
and poor prognosis in Mycobacterium avium complex pulmonary disease (MAC-PD) …

Relationship between clarithromycin MICs and treatment responses in Mycobacterium avium complex pulmonary disease

JY Kim, H Hwang, DH Yim, Y Choi… - Clinical Infectious …, 2024 - academic.oup.com
Background Mycobacterium avium complex pulmonary disease (MAC-PD) is a chronic lung
condition with rapidly increasing prevalence worldwide. Macrolides like azithromycin and …

Change of erythrocyte sedimentation rate as prognostic biomarker for Mycobacterium avium complex pulmonary disease through anti-mycobacterial treatment

H Hwang, JY Kim, JJ Yim… - Therapeutic Advances in …, 2024 - journals.sagepub.com
Background: It remains unclear whether erythrocyte sedimentation rate (ESR) accurately
predicts prognosis during treatment and how ESR changes. Objectives: We aimed to assess …