Evidence map›Paper›PMID 42519216›Full record

ArticleERJ open research2026

Radiographic severity and treatment optimisation in

Youngchan Cho, Jiin Bae, Joong-Yub Kim, Jae-Joon Yim, Soon Ho Yoon, Nakwon Kwak

Abstract read
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Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Youngchan ChoDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.
Jiin BaeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.
Joong-Yub KimBiomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
Jae-Joon YimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.
Soon Ho YoonDepartment of Radiology, National Jewish Health, Denver, CO, USA.
Nakwon KwakDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.ORCID https://orcid.org/0000-0002-1897-946X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We developed a chest radiography (CXR) scoring system using a deep neural network to quantify the severity of Methods: We analysed chest radiographs obtained at treatment initiation in patients who began therapy for MAC-PD at Seoul National University Hospital between 1 January 2011, and 31 August 2024. Patients were classified into mild or extensive disease groups based on a CXR score cut-off of 4.0. The impact of macrolide/ethambutol-based initial treatment regimens, alternative intensified regimens (including inhaled amikacin or clofazimine), and intensified regimens (including intravenous amikacin) on culture conversion was assessed using Cox proportional hazards models. Results: The study comprised 541 patients (299 and 242 with mild and extensive disease types, respectively). Alternative intensified regimens were used in 103 patients (19.0%), and intensified regimens were used in 25 patients (4.6%). Culture conversion was achieved in 450 patients (83.2%), with no significant differences between the mild (81.6%) and extensive (85.1%) groups (p=0.277). In mild disease, neither alternative intensified regimens (adjusted hazard ratio (aHR) 0.84, 95% confidence interval (CI) 0.60-1.19) nor intensified regimens (aHR 0.99, 95% CI 0.53-1.89) were associated with improved culture conversion. In contrast, in extensive disease, use of intensified regimens (aHR 1.90, 95% CI 1.12-3.22) was associated with a higher likelihood of culture conversion. Conclusion: CXR score-based disease stratification may guide individualised treatment strategy in patients with MAC-PD.

Identifiers

PMID42519216
PMCPMC13383090

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.