Prediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters

Authors

Dechun Li
Yingli Sun (ORCID: https://orcid.org/0000-0002-1888-7661)
Zongjing Ma
Ming Li (ORCID: https://orcid.org/0000-0002-9242-7735)
Bin Chen (ORCID: https://orcid.org/0000-0001-8326-4551)
Liang Jin (ORCID: https://orcid.org/0009-0009-6746-7573)

Institutions

Shanghai Medical College of Fudan University (CN)
Fudan University (CN)
Shanghai Innovative Research Center of Traditional Chinese Medicine (CN)
Huadong Hospital (CN)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-01-29
DOI: https://doi.org/10.1186/s12880-025-01561-z
Citations: 2
Primary Topic: Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type: article
Field-Weighted Citation Impact: 3.04

Funders

National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
National Key Research and Development Program of China

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Prediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters

Dechun Li, Yingli Sun, Zongjing Ma, Ming Li et al.

Jan 29, 2025

2 citations

BMC Medical Imaging

Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

3.04

article

Prediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters

Dechun Li, Yingli Sun, Zongjing Ma, Ming Li, Bin Chen, Liang Jin

January 29, 2025article en

2 citations

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

Shanghai Medical College of Fudan University (CN), Fudan University (CN), Shanghai Innovative Research Center of Traditional Chinese Medicine (CN), Huadong Hospital (CN)

National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, National Key Research and Development Program of China

Openalex Percentile: Top 11%

Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

3.04

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.