Zhengpan C. Wei
Zhengzhou, China
Last Updated: 09/26/2026
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Found 14 publications
Highlighting sarcopenia management in cancer treatments: evidence from umbrella meta-analysis.
Journal: Frontiers in nutrition
Published: March 16, 2026
Establishment and validation of a novel anoikis-related prognostic signature of lung squamous cell carcinoma.
Journal: Translational cancer research
Published: November 09, 2025
Development and validation of a CT radiomics nomogram for preoperative prediction of right recurrent laryngeal nerve lymph node metastasis in thoracic esophageal squamous cell carcinoma.
Journal: Journal of thoracic disease
Published: November 04, 2025
SDCBP2 promotes tumor progression and is a novel ferroptosis-related prognostic biomarker in lung adenocarcinoma.
Journal: Frontiers in immunology
Published: September 04, 2025
The value of relative CT attenuation in predicting invasiveness in patients with T1-stage lung adenocarcinoma.
Journal: Quantitative imaging in medicine and surgery
Published: May 29, 2025
3D computed tomography density of stage T1 lung cancer, which value is most stable for predicting its invasiveness?
Journal: Quantitative imaging in medicine and surgery
Published: October 02, 2024
Development and validation of a nomogram for preoperative prediction of the invasiveness of stage T1 lung adenocarcinoma utilizing AI-driven radiomics.
Journal: BMC cancer
Published: September 13, 2024
Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.
Journal: BMC medical imaging
Published: August 24, 2024
Exploration of optimal thresholds for predicting the invasive nature of stage T1 lung adenocarcinoma using artificial intelligence-based 3D solid component volume segmentation.
Journal: Quantitative imaging in medicine and surgery
Published: August 07, 2024
Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinoma.
Journal: Quantitative imaging in medicine and surgery
Published: June 30, 2024
Identification of the optimal threshold for predicting the infiltration degree of T1-stage lung adenocarcinoma using solid component volume and three-dimensional consolidation-to-tumor ratio in threshold segmentation.
Journal: Quantitative imaging in medicine and surgery
Published: June 16, 2024
Last Updated: 09/26/2026