Pancreatic Cancer Research

ResearcherGifu University HospitalActive in the last 2 years

Masayuki Matsuo

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

Matched on ORCID iD 0000-0001-7615-3247; OpenAlex author ID A5021329884. Sources: OpenAlex.

Their work

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

2016: 1 paper · 2017: none · 2018: 2 papers · 2019: 2 papers · 2020: 2 papers · 2021: none · 2022: 2 papers · 2023: 3 papers · 2024: 3 papers · 2025: none · 2026: 2 papers

Papers 17

  1. Impact of image reconstruction algorithms on histogram analysis of iodine concentration for assessing chemotherapy response in pancreatic ductal adenocarcinoma. Last author DOI 10.1007/s00261-026-05671-2↗
  2. Novel silicon-based material decomposition images in diagnosis of pancreatic ductal adenocarcinoma: comparison with iodine-based and 50-keV virtual monoenerget… Last author DOI 10.1007/s11604-025-01856-9↗
  3. Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images. Last author DOI 10.1007/s11547-024-01806-x↗
  4. Effect of X-ray tube on image quality and pancreatic ductal adenocarcinoma conspicuity in pancreatic protocol dual-energy CT. Last author DOI 10.1016/j.crad.2023.12.024↗
  5. Assessment of Arterial Involvement in Pancreatic Cancer: Utility of Reconstructed CT Images Perpendicular to Artery. Last author DOI 10.3390/cancers16122271↗
  6. Determination of arterial invasion in pancreatic ductal adenocarcinoma: what is the best diagnostic criterion on CT? Last author DOI 10.1007/s00330-023-09521-3↗
  7. Comparison of image quality and pancreatic ductal adenocarcinoma conspicuity between the low-kVp and dual-energy CT reconstructed with deep-learning image reco… Last author DOI 10.1016/j.ejrad.2022.110685↗
  8. Deep-learning image reconstruction for 80-kVp pancreatic CT protocol: Comparison of image quality and pancreatic ductal adenocarcinoma visibility with hybrid-i… Last author DOI 10.1016/j.ejrad.2023.110960↗
  9. Vascular involvement and resectability of pancreatic ductal adenocarcinoma on contrast-enhanced MRI: comparison with pancreatic protocol CT. Last author DOI 10.1007/s00261-022-03581-7↗
  10. Prediction of overall survival in patients with pancreatic ductal adenocarcinoma: histogram analysis of ADC value and correlation with pathological intratumora… Last author DOI 10.1186/s12880-022-00751-3↗
  11. Detection of pancreatic ductal adenocarcinoma and liver metastases: comparison of Gd-EOB-DTPA-enhanced MR imaging vs. extracellular contrast materials. Last author DOI 10.1007/s00261-020-02511-9↗
  12. Virtual monochromatic image at lower energy level for assessing pancreatic ductal adenocarcinoma in fast kV-switching dual-energy CT. Last author DOI 10.1016/j.crad.2019.11.012↗
  13. Pancreatic MRI associated with pancreatic fibrosis and postoperative fistula: comparison between pancreatic cancer and non-pancreatic cancer tissue. Last author DOI 10.1016/j.crad.2019.02.013↗
  14. Prognostic evaluation of pancreatic ductal adenocarcinoma: Associations between molecular biomarkers and CT imaging findings. Last author DOI 10.1016/j.pan.2019.01.016↗
  15. Modified National Comprehensive Cancer Network Criteria for Assessing Resectability of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2214/ajr.17.18595↗
  16. Assessing Chemotherapeutic Response in Pancreatic Ductal Adenocarcinoma: Histogram Analysis of Iodine Concentration and CT Number in Single-Source Dual-Energy … Last author DOI 10.2214/ajr.18.19791↗
  17. Determination of the least amount of iodine load required for the detection of pancreatic adenocarcinoma at 80-kVp CT. Co-author DOI 10.1016/j.ejrad.2016.02.014↗

Closest collaborators

The 9 strongest of 9 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Yoshifumi Noda · 17 shared papers, 2016–2026 · strength 2.57
  2. Yukiko Takai · 7 shared papers, 2020–2026 · strength 1.38
  3. Avinash R. Kambadakone · 5 shared papers, 2022–2026 · strength 0.92
  4. Masashi Asano · 4 shared papers, 2023–2026 · strength 0.87
  5. Satoshi Goshima · 7 shared papers, 2016–2020 · strength 0.67
  6. Nobuhisa Matsuhashi · 1 shared paper, 2024 · strength 0.17
  7. Kazuhiro Yoshida · 1 shared paper, 2024 · strength 0.17
  8. Masahiro Fukada · 1 shared paper, 2024 · strength 0.17
  9. Kyongtae T. Bae · 2 shared papers, 2016–2018 · 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.