Evidence map›Paper›PMID 42850598›Full record

ArticleBMC pulmonary medicine2026

Association of CYFRA 21-1 with quantitative CT-defined fibrotic progression in idiopathic pulmonary fibrosis.

Ji-Yeon Han, Hyun-Kyung Lee, Hongyeul Lee, Ho Young Lee, SungMin Hong, Yumi Bang

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Article in BMC pulmonary medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ji-Yeon HanDepartment of Radiology, Inje University Busan Paik Hospital, Busan, Republic of Korea.
Hyun-Kyung LeeDivision of Pulmonary¸ Allergy and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea. goodoc@gmail.com.
Hongyeul LeeDivision of Pulmonary¸ Allergy and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea.
Ho Young LeeDivision of Pulmonary¸ Allergy and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea.
SungMin HongDivision of Pulmonary¸ Allergy and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea.
Yumi BangDivision of Pulmonary¸ Allergy and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveAlthough cytokeratin-19 fragment CYFRA 21 - 1 is a potential biomarker for idiopathic pulmonary fibrosis (IPF), its relationship to imaging-based structural progression remains unclear. We evaluated whether baseline CYFRA 21 - 1 is associated with fibrotic progression measured via quantitative computed tomography (QCT) and compared these associations with Krebs von den Lungen-6 (KL-6), including longitudinal relationships between changes in serum biomarker levels and QCT measures.

methodsWe retrospectively analyzed 95 patients with IPF who underwent volumetric chest CT, serum biomarker analysis including CYFRA 21 - 1 and KL-6, and pulmonary function tests at baseline and approximately 1 year. QCT measurements, including fibrosis, ground-glass opacity (GGO)-reticulation extent, and total interstitial lung disease (ILD) extent, were measured using deep learning-based software.

resultsBaseline CYFRA 21 - 1 was associated with QCT-defined fibrotic progression (odds ratio per 1 ng/mL increase, 1.347; 95% confidence interval [CI], 1.007-1.801). Baseline KL-6 was also associated with fibrotic progression (odds ratio per 100 U/mL increase, 1.085; 95% CI, 1.011-1.164), although the strength of association was lower. Longitudinal increases in CYFRA 21 - 1 were associated with progression of QCT-defined fibrosis (β = 0.943; 95% CI, 0.287-1.600), whereas changes in KL-6 were more closely associated with QCT-derived GGO-reticulation extent (β = 0.429; 95% CI, 0.179-0.680). Neither biomarker was associated with pulmonary function-based progression.

conclusionsCYFRA 21 - 1 was associated with QCT-defined fibrotic progression in IPF, whereas KL-6 showed stronger associations with GGO-reticulation extent and total ILD extent on CT. These findings suggest complementary imaging-based association patterns of the two serum biomarkers.

Indexed as

Antigens, NeoplasmIdiopathic Pulmonary FibrosisKeratin-19Mucin-1AgedBiomarkersDisease ProgressionFemaleHumansMaleMiddle AgedRespiratory Function TestsRetrospective StudiesTomography, X-Ray Computedantigen CYFRA21.1Antigens, NeoplasmBiomarkersKeratin-19MUC1 protein, humanMucin-1BiomarkersHigh resolution computed tomographyIdiopathic pulmonary fibrosisQuantitative CT of ILD

Identifiers

PMID42850598
PMCPMC13647778

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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.