Predicting the prognosis of patients with lung adenocarcinoma treated with third-generation EGFR-TKI alone using nomograms based on CT radiomic and clinicopathological factors

Our research formulated and corroborated a nomogram, according to clinicopathologic factors and radiomic features. Such a prediction model could be utilized as a strong tool for forecasting the prognosis of patients.

Authors

Junfeng Zhao (ORCID: https://orcid.org/0009-0000-1935-9214)
Ying Li (ORCID: https://orcid.org/0000-0001-5759-8291)
Xiaoting Gu (ORCID: https://orcid.org/0000-0001-5832-2078)
Jiaxiao Geng
Yan Wang (ORCID: https://orcid.org/0000-0002-1743-6383)
Chengxin Liu (ORCID: https://orcid.org/0000-0003-2962-0820)

Institutions

Shandong Tumor Hospital (CN)
Shandong Provincial Hospital (CN)
Shandong First Medical University (CN)

Publication Details

Journal: Translational Lung Cancer Research
Published: 2025-10-01
DOI: https://doi.org/10.21037/tlcr-2025-763
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

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article

Predicting the prognosis of patients with lung adenocarcinoma treated with third-generation EGFR-TKI alone using nomograms based on CT radiomic and clinicopathological factors

Junfeng Zhao, Ying Li, Xiaoting Gu, Jiaxiao Geng et al.

Oct 1, 2025

Translational Lung Cancer Research

Radiomics and Machine Learning in Medical Imaging

article

Predicting the prognosis of patients with lung adenocarcinoma treated with third-generation EGFR-TKI alone using nomograms based on CT radiomic and clinicopathological factors

Junfeng Zhao, Ying Li, Xiaoting Gu, Jiaxiao Geng, Yan Wang, Chengxin Liu

October 1, 2025article en

Abstract

Our research formulated and corroborated a nomogram, according to clinicopathologic factors and radiomic features. Such a prediction model could be utilized as a strong tool for forecasting the prognosis of patients.

Translational Lung Cancer ResearchVol. 14(10)

Shandong Tumor Hospital (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)

Openalex Percentile: Top 54%

Radiomics and Machine Learning in Medical Imaging

DOI Open Access PDF OpenAlex

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Predicting the prognosis of patients with lung adenocarcinoma treated with third-generation EGFR-TKI alone using nomograms based on CT radiomic and clinicopathological factors — Junfeng Zhao, Ying Li, et al. · Translational Lung Cancer Research (2025) | TGRS Research Map | TGRS