Pancreatic Cancer Research

ResearcherMemorial Sloan Kettering Cancer CenterActive in the last 2 years

Elliot K. Fishman

ORCID-verified (high confidence, 0.95), identity_conf@1As of 6 November 2026

Matched on ORCID iD 0000-0002-2567-1658; OpenAlex author ID A5020241070. Sources: OpenAlex.

Their work

Papers
76 (first author 4, last author 16)
Trials
0
Grants
0
Labs led
1
Collaborators
198
Papers, trials and grants by year

2012: 3 papers · 2013: 2 papers · 2014: 5 papers · 2015: 4 papers · 2016: 1 paper · 2017: 4 papers · 2018: 9 papers · 2019: 4 papers · 2020: 10 papers · 2021: 7 papers · 2022: 7 papers · 2023: 6 papers · 2024: 6 papers · 2025: 1 paper · 2026: 7 papers

Papers 50 of 76

  1. From detection to clinical practice: Defining acceptable false-positive thresholds for pre-diagnostic pancreatic cancer detection. Last author DOI 10.1016/j.clinimag.2026.110916↗
  2. Training for the unknown: Artificial intelligence-driven early detection of pancreatic cancer Last author DOI 10.1016/j.diii.2026.02.006↗
  3. Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, … Co-author DOI 10.1016/s1470-2045(25)00567-4↗
  4. Detection of small pancreatic ductal adenocarcinoma: The potential of cinematic rendering in earlier lesion detection. Last author DOI 10.1067/j.cpradiol.2025.10.018↗
  5. Incidental Diagnosis of Pancreatic Cancer and Association with Improved Patient Outcomes: Assessing the Potential Clinical Use of Liquid Biopsy-Based Screening… Co-author DOI 10.1097/xcs.0000000000001721↗
  6. Radiomics in Early Detection of Pancreatic Ductal Adenocarcinoma: A Close Look at Its Current Status and Challenges to Clinical Implementation. Co-author DOI 10.1177/08465371251351810↗
  7. From Bench to Bedside: The Path Toward Real-World Translation for Artificial Intelligence in Pancreatic Cancer Detection. Co-author DOI 10.3348/kjr.2026.0003↗
  8. Early detection of pancreatic cancer on computed tomography: advancements with deep learning. Co-author DOI 10.1093/radadv/umaf028↗
  9. Pancreatic Cancer Surveillance and Survival of High-Risk Individuals. Co-author DOI 10.1001/jamaoncol.2024.1930↗
  10. Hidden in plain sight: commonly missed early signs of pancreatic cancer on CT. Co-author DOI 10.1007/s00261-024-04334-4↗
  11. Early detection of pancreatic cancer in the era of precision medicine. Co-author DOI 10.1007/s00261-024-04358-w↗
  12. Diminishing calcifications as a potential predictor of pancreatic ductal adenocarcinoma arising in association with IPMN in patients with chronic pancreatitis. Co-author DOI 10.1016/j.radcr.2024.08.018↗
  13. Factors associated with radiological misstaging of pancreatic ductal adenocarcinoma: A retrospective observational study. Co-author DOI 10.1067/j.cpradiol.2024.03.001↗
  14. Pancreatic ductal adenocarcinoma staging: a narrative review of radiologic techniques and advances. First author DOI 10.1097/js9.0000000000000899↗
  15. Postoperative surveillance of pancreatic ductal adenocarcinoma (PDAC) recurrence: practice pattern on standardized imaging and reporting from the society of ab… Co-author DOI 10.1007/s00261-022-03693-0↗
  16. Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer. Co-author DOI 10.1016/j.medj.2022.11.009↗
  17. Screening for pancreatic cancer has the potential to save lives, but is it practical? Co-author DOI 10.1080/17474124.2023.2217354↗
  18. Radiologists' Expectations of Artificial Intelligence in Pancreatic Cancer Imaging: How Good Is Good Enough? Last author DOI 10.1097/rct.0000000000001503↗
  19. Artificial Intelligence Outperforms Radiologists for Pancreatic Cancer Lymph Node Metastasis Prediction at CT. First author DOI 10.1148/radiol.222012↗
  20. Imaging of Pancreatic Ductal Adenocarcinoma: An Update on Recent Advances. Co-author DOI 10.1177/08465371221124927↗
  21. Structured CT reporting of pancreatic ductal adenocarcinoma: impact on completeness of information and interdisciplinary communication for surgical planning. Co-author DOI 10.1007/s00261-021-03353-9↗
  22. Pancreatic cancer in patient with groove pancreatitis: Potential pitfalls in diagnosis. Last author DOI 10.1016/j.radcr.2022.09.020↗
  23. Cinematic Rendering: Novel Tool for Improving Pancreatic Cancer Surgical Planning. Co-author DOI 10.1067/j.cpradiol.2022.04.001↗
  24. The Impact of the COVID-19 Pandemic on Multidisciplinary Clinics: A High-Volume Pancreatic Cancer Center Experience. Co-author DOI 10.1067/j.cpradiol.2022.05.001↗
  25. RAD51B Harbors Germline Mutations Associated With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1200/po.21.00404↗
  26. Anatomic Criteria Determine Resectability in Locally Advanced Pancreatic Cancer. Co-author DOI 10.1245/s10434-021-10663-1↗
  27. Imaging Assessment of Pancreatic Cancer Resectability After Neoadjuvant Therapy: AJR Expert Panel Narrative Review. Co-author DOI 10.2214/ajr.21.26931↗
  28. Ovarian Metastasis from Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1007/s00268-021-06209-x↗
  29. Challenges of the current precision medicine approach for pancreatic cancer: A single institution experience between 2013 and 2017. Co-author DOI 10.1016/j.canlet.2020.10.039↗
  30. Periadventitial dissection of the superior mesenteric artery for locally advanced pancreatic cancer: Surgical planning with the "halo sign" and "string sign". Co-author DOI 10.1016/j.surg.2020.08.031↗
  31. Pancreatic Cancer Imaging: A New Look at an Old Problem. Last author DOI 10.1067/j.cpradiol.2020.08.002↗
  32. Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review. Co-author DOI 10.1097/mpa.0000000000001762↗
  33. Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. Co-author DOI 10.1109/tmi.2021.3060066↗
  34. CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2214/ajr.20.23490↗
  35. Pitfalls in the MDCT of pancreatic cancer: strategies for minimizing errors. Co-author DOI 10.1007/s00261-019-02390-9↗
  36. Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarci… Last author DOI 10.1007/s00261-020-02556-w↗
  37. Surgical Outcomes After Pancreatic Resection of Screening-Detected Lesions in Individuals at High Risk for Developing Pancreatic Cancer. Co-author DOI 10.1007/s11605-019-04230-z↗
  38. Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer… Last author DOI 10.1016/j.diii.2019.09.002↗
  39. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features. Co-author DOI 10.1016/j.diii.2020.03.002↗
  40. Evaluation of a Novel Absorbable Radiopaque Hydrogel in Patients Undergoing Image Guided Radiation Therapy for Borderline Resectable and Locally Advanced Pancr… Co-author DOI 10.1016/j.prro.2020.01.013↗
  41. Mesoportal bypass, interposition graft, and mesocaval shunt: Surgical strategies to overcome superior mesenteric vein involvement in pancreatic cancer. Co-author DOI 10.1016/j.surg.2020.07.054↗
  42. Deep learning for pancreatic cancer detection: current challenges and future strategies. First author DOI 10.1016/s2589-7500(20)30105-9↗
  43. Management of patients with increased risk for familial pancreatic cancer: updated recommendations from the International Cancer of the Pancreas Screening (CAP… Co-author DOI 10.1136/gutjnl-2019-319352↗
  44. Correction: Management of patients with increased risk for familial pancreatic cancer: updated recommendations for the international cancer of the pancreas scr… Co-author DOI 10.1136/gutjnl-2019-319352corr1↗
  45. Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. Last author DOI 10.1016/j.jacr.2019.05.034↗
  46. Survival in Locally Advanced Pancreatic Cancer After Neoadjuvant Therapy and Surgical Resection. Co-author DOI 10.1097/sla.0000000000002753↗
  47. Circulating Tumor DNA as a Clinical Test in Resected Pancreatic Cancer. Co-author DOI 10.1158/1078-0432.ccr-19-0197↗
  48. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. Last author DOI 10.2214/ajr.18.20901↗
  49. Incidence and risk factors for abdominal occult metastatic disease in patients with pancreatic adenocarcinoma. Co-author DOI 10.1002/jso.25288↗
  50. Assessment of iodine uptake by pancreatic cancer following chemotherapy using dual-energy CT. Last author DOI 10.1007/s00261-017-1338-6↗

Closest collaborators

The 25 strongest of 198 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Linda Chi Hang Chu · 25 shared papers, 2017–2026 · strength 5.15
  2. Ralph H. Hruban · 38 shared papers, 2012–2026 · strength 3.80
  3. Satomi Kawamoto · 18 shared papers, 2014–2026 · strength 3.08
  4. Jin Peng He · 25 shared papers, 2015–2024 · strength 2.59
  5. Christopher Lee Wolfgang · 31 shared papers, 2012–2024 · strength 2.46
  6. Ammar A. Javed · 17 shared papers, 2017–2026 · strength 2.37
  7. Felipe Lopez-Ramirez · 7 shared papers, 2024–2026 · strength 2.31
  8. Richard Andrew Burkhart · 14 shared papers, 2018–2024 · strength 1.40
  9. Florent Tixier · 4 shared papers, 2025–2026 · strength 1.36
  10. Daniel A. Laheru · 18 shared papers, 2012–2023 · strength 1.31
  11. Matthew John Weiss · 15 shared papers, 2015–2024 · strength 1.25
  12. Amol Kumar Narang · 13 shared papers, 2012–2023 · strength 1.16
  13. Atif Zaheer · 11 shared papers, 2014–2023 · strength 1.15
  14. Hajra Arshad · 3 shared papers, 2026 · strength 1.10
  15. Taha Muneer Ahmed · 5 shared papers, 2023–2024 · strength 1.06
  16. Emir A. Syailendra · 3 shared papers, 2025–2026 · strength 1.02
  17. Joseph R. Habib · 6 shared papers, 2020–2026 · strength 0.95
  18. Alan Yuille · 8 shared papers, 2019–2021 · strength 0.94
  19. Mohammad Yasrab · 4 shared papers, 2024 · strength 0.88
  20. Lei Zheng · 13 shared papers, 2012–2022 · strength 0.88
  21. Michael Goggins · 9 shared papers, 2014–2024 · strength 0.86
  22. Anne Marie Lennon · 9 shared papers, 2014–2024 · strength 0.86
  23. Alison P. Klein · 9 shared papers, 2013–2024 · strength 0.82
  24. Marcia Irene Canto · 8 shared papers, 2014–2024 · strength 0.77
  25. Eun Ji Shin · 8 shared papers, 2017–2024 · strength 0.77

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.