Association of AI-Derived Quantitative CT Parameters of Airway, Emphysema, and Pulmonary Vasculature with Lung Cancer: A Cross-Sectional Analysis

AI-derived quantitative CT parameters of emphysema, vasculature, and airways are associated with lung cancer and may serve as complementary tools for clinical risk assessment.

Authors

Institutions

Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2026-01-15
DOI
https://doi.org/10.2174/0115734056413168251203110120
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of AI-Derived Quantitative CT Parameters of Airway, Emphysema, and Pulmonary Vasculature with Lung Cancer: A Cross-Sectional Analysis

Zizhen Yang, Jianjun Zheng, Xian Zhou, Jingfeng Zhang et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews
Radiomics and Machine Learning in Medical Imaging
article

Association of AI-Derived Quantitative CT Parameters of Airway, Emphysema, and Pulmonary Vasculature with Lung Cancer: A Cross-Sectional Analysis

Zizhen Yang, Jianjun Zheng, Xian Zhou, Jingfeng Zhang, Qi Dai, Wei Lu
article en

Abstract

AI-derived quantitative CT parameters of emphysema, vasculature, and airways are associated with lung cancer and may serve as complementary tools for clinical risk assessment.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 22
Ningbo No. 2 Hospital (CN), Ningbo No.6 Hospital (CN)
Good health and well-being
Openalex Percentile: Top 80%
Radiomics and Machine Learning in Medical Imaging
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.