Evidence map›Paper›PMID 42240898›Full record

ArticleInsights into imaging2026

Phase-resolved functional lung magnetic resonance imaging for evaluation of lung perfusion and ventilation in fibrosing interstitial lung diseases.

Yifei Ni, Hongyi Wang, Anqi Liu, Jianping Wang, Jie Du, Linfeng Xi, Yuhui Qiang, Shiyao Wang, Shi Shu, Jing An and 6 more

Abstract read
In one paragraph

Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yifei NiChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hongyi WangChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Anqi LiuChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jianping WangDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Jie DuChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Linfeng XiDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China.
Yuhui QiangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China.
Shiyao WangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China.
Shi ShuDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China.
Jing AnDL department, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China.
Robert GrimmResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Andreas VoskrebenzevDepartment of Diagnostic and Interventional Radiology, Charité Universitätsmedizin, Berlin, Germany.
Jens Vogel-ClaussenDepartment of Diagnostic and Interventional Radiology, Charité Universitätsmedizin, Berlin, Germany.
Ling ZhaoDepartment of Pathology, China-Japan Friendship Hospital, Beijing, China.
Yanhong RenDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital; National Center for Respiratory Medicine; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; National Clinical Research Center for Respiratory Diseases, Beijing, China. ryhong7561@sina.com.
Min LiuDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China. mikie0763@126.com.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0528901
6 · The paper itself

Abstract

objectiveThe pathophysiological changes of lung perfusion and ventilation in fibrosing interstitial lung diseases (F-ILD) remain inadequately characterized. This study aimed to analyze lung perfusion and ventilation characteristics in F-ILD patients using phase-resolved functional lung magnetic resonance imaging (PREFUL MRI) as well as their correlation with the severity of F-ILD. MATERIALS AND

methodsThis cross-sectional study prospectively included 30 patients diagnosed with F-ILD (19 males, 64.6 ± 9.5 years) and 30 age- and sex-matched normal controls. All participants underwent PREFUL MRI as well as pulmonary function tests. High-resolution CT (HRCT) was performed for the patient cohort. Ventilation and perfusion-related parameters obtained from PREFUL MRI were analyzed and correlated with PFTs and fibrotic lesions identified on HRCT.

resultsCompared with normal controls, F-ILD patients showed significant differences in mean perfusion (7.55% vs 4.60%), Mean Ventilation (13.95% vs 18.65%), Perfusion Defect (QDPexclusive) (3.65% vs 15.50%), ventilation-perfusion matched non-defect percentage (VQMnon-defect) (87.55% vs 70.10%), and ventilation-perfusion matched defect percentage (VQMdefect) (0.15% vs 1.35%) (all p < 0.05). Mean perfusion correlated positively with DLCO SB (single breath) %pred (ρ = 0.682, p < 0.001) and DLCO/VA (alveolar volume) %pred (ρ = 0.634, p < 0.001), while QDPexclusive correlated negatively with these parameters. Mean perfusion showed negative correlations with honeycombing, fibrotic lesions, and total interstitial lesion burden on HRCT, whereas QDPexclusive correlated positively with these abnormalities (all p < 0.05).

conclusionPREFUL MRI provides a quantitative functional evaluation of ventilation and perfusion in F-ILD patients, demonstrating strong correlations with pulmonary function parameters and fibrotic lesions. It shows potential as a valuable monitoring tool enabling severity assessment of F-ILD. CRITICAL RELEVANCE STATEMENT: PREFUL MRI provides a non-invasive, free-radiation method in the assessment of ventilation and perfusion in F-ILD, enabling severity evaluation. KEY POINTS: In patients with F-ILD, lung perfusion decreased, and ventilation increased. Lung ventilation and perfusion correlated with lung function parameters in F-ILD; however, they are similar between idiopathic pulmonary fibrosis (IPF) and other types of F-ILD. After controlling demographics, PREFUL MRI perfusion parameters (mean perfusion and QDPexclusive) remain significant, independent predictors of gas-exchange capacity and fibrotic burden.

Indexed as

Idiopathic pulmonary fibrosisInterstitial lung diseaseMagnetic resonance imagingPerfusionVentilation

Identifiers

PMID42240898
PMCPMC13237287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.