Jianxiong Gao

Changzhou Key Laboratory Of Molecular Imaging
Changzhou, China

Last Updated: 09/26/2026

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Found 14 publications

Imaging features of lung cancer with cystic airspaces: clinical utility, challenges, and perspectives.

Imaging features of lung cancer with cystic airspaces: clinical utility, challenges, and perspectives.

Journal: Frontiers in oncology

Published: December 09, 2025

Nonlinear association between standardized uptake value (SUV) index based on 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and the new International Association for the Study of Lung Cancer (IASLC) grading of lung invasive non-mucinous adenocarcinoma.

Nonlinear association between standardized uptake value (SUV) index based on 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and the new International Association for the Study of Lung Cancer (IASLC) grading of lung invasive non-mucinous adenocarcinoma.

Journal: Quantitative imaging in medicine and surgery

Published: November 08, 2025

New Advances in Imaging-Based Preoperative Prediction of STAS in Lung Adenocarcinoma: From CT and PET/CT to Radiomics and Deep Learning.

New Advances in Imaging-Based Preoperative Prediction of STAS in Lung Adenocarcinoma: From CT and PET/CT to Radiomics and Deep Learning.

Journal: Academic radiology

Published: July 20, 2025

Personalized prediction of breast cancer candidates for Anti-HER2 therapy using 18F-FDG PET/CT parameters and machine learning: a dual-center study.

Personalized prediction of breast cancer candidates for Anti-HER2 therapy using 18F-FDG PET/CT parameters and machine learning: a dual-center study.

Journal: Frontiers in oncology

Published: March 10, 2025

Comparison of radiomics handcrafted features and deep features in 18F-FDG PET/CT for differentiating benign and malignant persistent pulmonary ground-glass nodules.

Comparison of radiomics handcrafted features and deep features in 18F-FDG PET/CT for differentiating benign and malignant persistent pulmonary ground-glass nodules.

Journal: BMC cancer

Published: December 18, 2024

PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges.

PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges.

Journal: Frontiers in oncology

Published: September 06, 2024

Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines.

Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines.

Journal: Insights into imaging

Published: July 07, 2024

Transfer learning-based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma.

Transfer learning-based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma.

Journal: BMC medical imaging

Published: November 14, 2023

New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review.

New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review.

Journal: Frontiers in oncology

Published: June 19, 2023

Association Analysis of Maximum Standardized Uptake Values Based on 18F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma.

Association Analysis of Maximum Standardized Uptake Values Based on 18F-FDG PET/CT and EGFR Mutation Status in Lung Adenocarcinoma.

Journal: Journal of personalized medicine

Published: January 03, 2023

The predictive value of [18F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma.

The predictive value of [18F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma.

Journal: EJNMMI research

Published: December 22, 2022

Association between squamous cell carcinoma antigen level and EGFR mutation status in Chinese lung adenocarcinoma patients.

Association between squamous cell carcinoma antigen level and EGFR mutation status in Chinese lung adenocarcinoma patients.

Journal: Journal of clinical laboratory analysis

Published: May 23, 2022

Showing 1-12 of 14

Last Updated: 09/26/2026