Pancreatic Cancer Research

ResearcherChinese Academy of Medical Sciences & Peking Union Medical CollegeActive in the last 2 years

Ke Lv

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

Matched on ORCID iD 0000-0001-8779-9860; OpenAlex author ID A5079431638. Sources: OpenAlex.

Their work

Papers
7 (first author 0, last author 5)
Trials
0
Grants
0
Labs led
1
Collaborators
16
Papers, trials and grants by year

2021: 1 paper · 2022: none · 2023: 1 paper · 2024: 2 papers · 2025: 1 paper · 2026: 2 papers

Papers 7

  1. Identifying a better-prognosis pancreatic cancer from its benign inflammatory mimic: a machine learning approach with contrast-enhanced ultrasound for early in… Last author DOI 10.1007/s00261-026-05423-2↗
  2. Correlation between positive biopsy rates and contrast-enhanced ultrasound findings in patients with pancreatic cancer: a retrospective analysis of percutaneou… Last author DOI 10.21037/qims-2024-2975↗
  3. Molecular Imaging: Unveiling Metabolic Abnormalities in Pancreatic Cancer. Last author DOI 10.3390/ijms26115242↗
  4. Efficacy of color Doppler ultrasound and contrast-enhanced ultrasound in identifying vascular invasion in pancreatic ductal adenocarcinoma. Last author DOI 10.1186/s13244-024-01779-5↗
  5. Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to predict the efficacy of neoadjuvant chemoth… Last author DOI 10.1186/s40644-024-00662-2↗
  6. Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultrasound Videos. Co-author DOI 10.3390/diagnostics13132183↗
  7. Correlation Between Enhancement Patterns on Transabdominal Ultrasound and Survival for Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2147/cmar.s307079↗

Closest collaborators

The 16 strongest of 16 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Menghua Dai · 4 shared papers, 2021–2026 · strength 0.73
  2. Yuejuan Cheng · 4 shared papers, 2021–2024 · strength 0.64
  3. Huanyu Wang · 2 shared papers, 2024–2025 · strength 0.61
  4. Hua Liang · 2 shared papers, 2026 · strength 0.56
  5. Weibin Wang · 2 shared papers, 2024–2026 · strength 0.44
  6. Zhuhuang Zhou · 2 shared papers, 2023–2026 · strength 0.42
  7. Yuxin Jiang · 2 shared papers, 2021–2026 · strength 0.36
  8. Yuming Shao · 2 shared papers, 2023–2024 · strength 0.35
  9. Xiaoyi Yan · 2 shared papers, 2023–2024 · strength 0.35
  10. Huanyu Wang · 1 shared paper, 2026 · strength 0.30
  11. Junchao Guo · 1 shared paper, 2026 · strength 0.26
  12. Wan-Ying Jia · 1 shared paper, 2024 · strength 0.18
  13. Junchao Guo · 1 shared paper, 2024 · strength 0.18
  14. Qiang Xu · 1 shared paper, 2021 · strength 0.10
  15. Tongtong Zhou · 1 shared paper, 2021 · strength 0.10
  16. Chunmei Bai · 1 shared paper, 2021 · strength 0.10

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.