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Nuclear Medicine Communications|January 2, 2026
Combining the prognostic values of entropy-based heterogeneity features from 18F-fluorodeoxyglucose PET and transmission computed tomography using machine learning in patients with lung adenocarcinoma undergoing curative surgeryKun-Han Lue, Yu-Hung Chen, Sung-Chao Chu, et al.
Academic Radiology|November 26, 2019
Intratumor Heterogeneity Assessed by <sup>18</sup>F-FDG PET/CT Predicts Treatment Response and Survival Outcomes in Patients with Hodgkin LymphomaKun-Han Lue, Yi-Feng Wu, Shu-Hsin Liu, et al.
Annals of Nuclear Medicine|November 27, 2022
Glucose metabolic heterogeneity correlates with pathological features and improves survival stratification of resectable lung adenocarcinomaYu-Hung Chen, Yen-Chang Chen, Kun-Han Lue, et al.
Plos One|December 28, 2020
Incorporating radiomic feature of pretreatment 18F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinomaYu-Hung Chen, Tso-Fu Wang, Sung-Chao Chu, et al.
International Journal of Molecular Sciences|February 25, 2023
Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung CancerYu-Hung Chen, Kun-Han Lue, Chih-Bin Lin, et al.
Nuclear Medicine Communications|September 20, 2023
A comparison of 18 F-FDG PET-based radiomics and deep learning in predicting regional lymph node metastasis in patients with resectable lung adenocarcinoma: a cross-scanner and temporal validation studyKun-Han Lue, Yu-Hung Chen, Sung-Chao Chu, et al.
Annals of Nuclear Medicine|June 21, 2019
Combining the radiomic features and traditional parameters of <sup>18</sup>F-FDG PET with clinical profiles to improve prognostic stratification in patients with esophageal squamous cell carcinoma treated with neoadjuvant chemoradiotherapy and surgeryYu-Hung Chen, Kun-Han Lue, Sung-Chao Chu, et al.
Diagnostics (Basel, Switzerland)|July 2, 2021
Prognostic Value of Combing Primary Tumor and Nodal Glycolytic-Volumetric Parameters of <sup>18</sup>F-FDG PET in Patients with Non-Small Cell Lung Cancer and Regional Lymph Node MetastasisYu-Hung Chen, Sung-Chao Chu, Ling-Yi Wang, et al.
Annals of Nuclear Medicine|November 24, 2021
Tumor glycolytic heterogeneity improves detection of regional nodal metastasis in patients with lung adenocarcinomaKun-Han Lue, Sung-Chao Chu, Ling-Yi Wang, et al.
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