What question did this study set out to answer?

To address comments on enhancing methodological approaches for studying pulmonary sequelae after COVID-19.

May 29, 2026Korean Journal of Radiology0 citationsOpen Access

Response to “Enhancing the Study of Long-Term Pulmonary Sequelae After COVID-19: Methodological Perspectives on Imaging and Clinical Integration”

JSJiyoung SongSeoul National University Hospital SYS YoonNational Jewish Health

Key Points

To address comments on enhancing methodological approaches for studying pulmonary sequelae after COVID-19.
Provided a study-level meta-analysis of long-term follow-up literature.
Discussed the relevance of quantitative CT and AI-assisted standardization in future studies.
Highlighted the potential of refined radiological phenotyping for detecting pulmonary abnormalities.
Acknowledged the integration of imaging with clinical outcomes as a key future direction.

Abstract

We appreciate the interest of Dong et al. 1 in our recent publication and their thoughtful comments on future research directions for post-COVID-19 pulmonary sequelae 2.While we agree that quantitative CT, closer integration of imaging with clinical outcomes, artificial intelligence (AI)-assisted standardization, and refined radiological phenotyping may strengthen future prospective studies, these approaches were beyond the scope of our study, which was designed to provide a study-level metaanalysis of the currently available long-term follow-up literature.Their letter 1 suggested the use of quantitative CT descriptors and deep learning-based reconstruction algorithms to detect subtle parenchymal abnormalities.We

Demander à l'IA

Bookmark

View Full Paper

Cite This Study

Song et al. (Thu,) studied this question.

synapsesocial.com/papers/6a192cd5fab5b468c44159a8 https://doi.org/https://doi.org/10.3348/kjr.2026.0436

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

Demander à l'IA

Bookmark

View Full Paper