Pancreatic Cancer Research

ResearcherSecond Military Medical UniversityActive in the last 2 years

Kai Cao

Matched on ORCID iD 0000-0002-7939-7279; OpenAlex author ID A5101410989. Sources: OpenAlex.

Their work

Papers
13 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
42
Papers, trials and grants by year

2019: 2 papers · 2020: none · 2021: 5 papers · 2022: 3 papers · 2023: 2 papers · 2024: 1 paper

Papers 13

  1. Integrated 68 Ga-FAPI-04 PET/MR in Pancreatic Cancer : Prediction of Tumor Response and Tumor Resectability After Neoadjuvant Therapy. Co-author DOI 10.1097/rlu.0000000000005300↗
  2. Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Co-author DOI 10.1038/s41591-023-02640-w↗
  3. Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study. First author DOI 10.1097/sla.0000000000005465↗
  4. Comparison of the diagnostic efficacy of 68 Ga-FAPI-04 PET/MR and 18F-FDG PET/CT in patients with pancreatic cancer. Co-author DOI 10.1007/s00259-022-05729-5↗
  5. CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score Analysis. Co-author DOI 10.1016/j.acra.2021.04.014↗
  6. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s40644-021-00443-1↗
  7. Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in P… Co-author DOI 10.1002/jmri.27648↗
  8. Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-021-03159-9↗
  9. The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.clinimag.2020.11.039↗
  10. DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imagin… Co-author DOI 10.1016/j.media.2021.102150↗
  11. XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/fonc.2021.671333↗
  12. Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/mpa.0000000000001404↗
  13. Comparisons of different neoadjuvant chemotherapy regimens with or without stereotactic body radiation therapy for borderline resectable pancreatic cancer: stu… Co-author DOI 10.1186/s13014-019-1254-8↗

Closest collaborators

The 25 strongest of 42 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Hui Jiang · 9 shared papers, 2019–2023 · strength 1.03
  2. Jianping Lu · 8 shared papers, 2021–2023 · strength 0.98
  3. Yun Bian · 8 shared papers, 2019–2022 · strength 0.91
  4. Gang Jin · 6 shared papers, 2019–2023 · strength 0.69
  5. Li Wang · 6 shared papers, 2019–2022 · strength 0.68
  6. Chengwei Shao · 5 shared papers, 2021–2022 · strength 0.60
  7. Shiwei Guo · 3 shared papers, 2019–2024 · strength 0.47
  8. Yinghao Meng · 4 shared papers, 2021–2022 · strength 0.46
  9. Jieyu Yu · 4 shared papers, 2021–2022 · strength 0.46
  10. Changjing Zuo · 2 shared papers, 2022–2024 · strength 0.39
  11. Chao Cheng · 2 shared papers, 2022–2024 · strength 0.39
  12. Chao Ma · 3 shared papers, 2021–2022 · strength 0.39
  13. Jiawen Yao · 3 shared papers, 2021–2023 · strength 0.38
  14. Ling Zhang · 3 shared papers, 2021–2023 · strength 0.38
  15. Yu Shi · 3 shared papers, 2021–2023 · strength 0.38
  16. Suizhi Gao · 3 shared papers, 2019–2022 · strength 0.31
  17. Rong Zhang · 2 shared papers, 2023 · strength 0.25
  18. Gang Jin · 1 shared paper, 2024 · strength 0.24
  19. Zeyu Zhang · 1 shared paper, 2024 · strength 0.24
  20. Jianming Zheng · 2 shared papers, 2019–2022 · strength 0.22
  21. Jianping Lu · 2 shared papers, 2019–2023 · strength 0.22
  22. Jing Li · 2 shared papers, 2021 · strength 0.22
  23. Tao Wang · 1 shared paper, 2022 · strength 0.15
  24. Guorong Jia · 1 shared paper, 2022 · strength 0.15
  25. Zeyu Zhang · 1 shared paper, 2022 · strength 0.15

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.