Pancreatic Cancer Research

ResearcherSun Yat-sen UniversityActive in the last 2 years

Shi‐Ting Feng

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0002-0869-7290; OpenAlex author ID A5007869048, A5123453121. Sources: ClinicalTrials.gov.

Their work

Papers
9 (first author 0, last author 6)
Trials
2
Grants
0
Labs led
1
Collaborators
15
Papers, trials and grants by year

2018: 1 paper · 2019: none · 2020: none · 2021: 2 trials · 2022: 1 paper · 2023: 1 paper · 2024: 1 paper · 2025: 2 papers · 2026: 3 papers

Papers 9

  1. Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. Co-author DOI 10.1007/s00261-026-05529-7↗
  2. A clinician-centric intelligent method towards reliable pancreatic cancer vascular invasion assessment: a retrospective, multi-centre study. Co-author DOI 10.1016/j.lanwpc.2026.101890↗
  3. Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction via dual-layer spectral CT. Last author DOI 10.1186/s13244-026-02216-5↗
  4. Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adenocarcinoma. Last author DOI 10.1097/js9.0000000000002059↗
  5. Thin-slice T2-weighted images and deep-learning-based super-resolution reconstruction: improved preoperative assessment of vascular invasion for pancreatic duc… Last author DOI 10.1186/s13244-025-02022-5↗
  6. Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases… Last author DOI 10.1097/js9.0000000000001213↗
  7. Preoperative assessment of peripheral vascular invasion of pancreatic ductal adenocarcinoma based on high-resolution MRI. Last author DOI 10.1186/s12885-023-11451-8↗
  8. Tumor fibrosis correlates with the survival of patients with pancreatic adenocarcinoma and is predictable using clinicoradiological features. Last author DOI 10.1007/s00330-022-08745-z↗
  9. Non-enhanced Pattern on Contrast-Enhanced Ultrasound in the Local Efficacy Assessment of Irreversible Electroporation Ablation of Pancreatic Adenocarcinoma. Co-author DOI 10.1016/j.ultrasmedbio.2018.05.018↗

Trials 2

  1. A CT-based Radiomics Model to Predict Survival-graded Fibrosis in PDAC Study director NCT06267690↗
  2. A Deep Learning Radiomics Model for Predicting Occult Peritoneal Metastases of Pancreatic Adenocarcinoma Study director NCT06336694↗

Closest collaborators

The 15 strongest of 15 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Yanji Luo · 7 shared papers, 2022–2026 · strength 1.59
  2. Siya Shi · 5 shared papers, 2022–2026 · strength 1.18
  3. Jiawei Liu · 3 shared papers, 2025–2026 · strength 0.82
  4. Jian Zhang · 2 shared papers, 2024–2025 · strength 0.44
  5. Xiaoqi Zhou · 2 shared papers, 2023–2025 · strength 0.41
  6. Rui Guo · 1 shared paper, 2026 · strength 0.26
  7. Weishen Wang · 1 shared paper, 2026 · strength 0.26
  8. Liu Y · 1 shared paper, 2026 · strength 0.26
  9. Xiaohua Qian · 1 shared paper, 2026 · strength 0.26
  10. Ziping Li · 1 shared paper, 2022 · strength 0.16
  11. Ping Liang · 1 shared paper, 2018 · strength 0.07
  12. Jie Yu · 1 shared paper, 2018 · strength 0.07
  13. Manxia Lin · 1 shared paper, 2018 · strength 0.07
  14. Ming Kuang · 1 shared paper, 2018 · strength 0.07
  15. Ming Tong Xu · 1 shared paper, 2018 · strength 0.07

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.