CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma

Authors

Pengfei Duan (ORCID: https://orcid.org/0000-0002-5971-7546)
Ningbo Fan (ORCID: https://orcid.org/0000-0002-1622-6747)
Bin Luo (ORCID: https://orcid.org/0000-0002-8721-4460)
Peng Lin (ORCID: https://orcid.org/0000-0003-3760-5575)
Han Yang
Zhesheng Wen (ORCID: https://orcid.org/0000-0001-8002-304X)

Institutions

Sun Yat-sen University (CN)
Sun Yat-sen University Cancer Center (CN)

Publication Details

Journal: Cancer Imaging
Published: 2025-06-11
DOI: https://doi.org/10.1186/s40644-025-00893-x
Primary Topic: Lung Cancer Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Sun Yat-sen University
Sun Yat-sen University Cancer Center

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article

CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma

Pengfei Duan, Ningbo Fan, Bin Luo, Peng Lin et al.

Jun 11, 2025

Cancer Imaging

Lung Cancer Diagnosis and Treatment

article

CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma

Pengfei Duan, Ningbo Fan, Bin Luo, Peng Lin, Han Yang, Zhesheng Wen

June 11, 2025article en

Abstract

No abstract available for this paper.

Cancer ImagingVol. 25(1)

Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)

Sun Yat-sen University, Sun Yat-sen University Cancer Center

Openalex Percentile: Top 78%

Lung Cancer Diagnosis and Treatment

DOI Open Access PDF OpenAlex

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