- [1] ASO Visual Abstract: Early Post-Discharge Pain Trajectories After Thoracoscopic Sublobar Resection for Stage IA Non-small Cell Lung Cancer
- [2] ASO Author Reflections: Predictors of Unrecovered Early Post-Discharge Pain after Thoracoscopic Sublobar Resection for Stage IA Lung Cancer
- [3] Early Post-discharge Pain Trajectories After Thoracoscopic Sublobar Resection for Stage IA Non-small Cell Lung Cancer
- [4] Ternary-Classification Habitat Model for Invasiveness and Grade of Lung Adenocarcinoma Presenting as a Subsolid Nodule on Low-Dose Chest CT: A Multicenter Study
- [5] Cardiovascular morbidity and mortality after radiotherapy for breast cancer: a systematic review and meta-analysis
- [6] Quantitative Measures of Pure Ground-Glass Nodules from an Artificial Intelligence Software for Predicting Invasiveness of Pulmonary Adenocarcinoma on Low-Dose CT: A Multicenter Study
- [7] Predicting High-risk Lung Adenocarcinoma in Solid and Part-solid Nodules on Low-dose CT: A Multicenter Study
- [8] Image-Based Assessment of Obesity and Metabolic Pathway Alterations in Non-small Cell Lung Cancer
- [9] ASO Author Reflections: Impact of Sarcopenia on Patient-Reported Outcomes After Video-Assisted Thoracoscopic Surgery for Lung Cancer
- [10] Early Postoperative Patient-Reported Outcomes of Sarcopenia Versus Nonsarcopenia in Patients Undergoing Video-Assisted Thoracoscopic Surgery for Lung Cancer
- [11] Predicting the Invasiveness of Pulmonary Adenocarcinomas in Pure Ground-Glass Nodules Using the Nodule Diameter: A Systematic Review, Meta-Analysis, and Validation in an Independent Cohort
- [12] An ordinal radiomic model to predict the differentiation grade of invasive non-mucinous pulmonary adenocarcinoma based on low-dose computed tomography in lung cancer screening
- [13] Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary adenocarcinoma
- [14] The solid component within part-solid nodules: 3-dimensional quantification, correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas, and comparisons with 2-dimentional measures and semantic features in low-dose computed tomography
- [15] Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer
- [16] Radiomic analysis of MRI for prediction of response to induction chemotherapy in nasopharyngeal carcinoma patients
- [17] Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer
- [18] Development and validation of qualitative and quantitative models to predict invasiveness of lung adenocarcinomas manifesting as pure ground-glass nodules based on low-dose computed tomography during lung cancer screening
- [19] Prediction of invasive adenocarcinomas manifesting as pure ground-glass nodules based on radiomic signature of low-dose CT in lung cancer screening
- [20] Quantitative parameters of enhanced dual-energy computed tomography for differentiating lung cancers from benign lesions in solid pulmonary nodules