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A Multimodal AI-Based System for Predicting the Grade of Pancreatic Neuroendocrine Tumors

A Multimodal AI-Based System for Predicting the Grade of Pancreatic Neuroendocrine Tumors - A Multimodal AI-Based System for Predicting the Grade of Pancreatic Neuroendocrine Tumors

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000056597
Enrollment
400
Registered
2024-12-28
Start date
2025-04-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pancreatic Neuroendocrine Tumors

Interventions

None listed

Sponsors

National Cancer Center Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Eligible cases for registration must meet all of the following criteria 1. Preoperative contrast-enhanced CT and EUS examinations were performed, followed by definitive surgical resection between January 1996 and December 2024, with a final pathological diagnosis of pancreatic neuroendocrine tumor (including NEC G3 and MiNEN) based on the resected specimen. Surgical techniques are not restricted. 2. Ki-67 imuunostaining was performed on the resected specimen and the Ki-67 labeling index is available. 3. Malignancy grading (NET G1, G2, G3, NEC) based on the WHO 2019 classification is feasible using the resected specimen.

Exclusion criteria

Exclusion criteria: Cases meeting the following criteria will be excluded: 1. Surgical resection of recurrence lesions only (e.g., liver metastases, lymph nodes). 2. Surgical resection of metastatic lesions solely for the purpose of mass reduction or alleviation of hormone-producing symptoms. 3. Cases that are difficult to differentiate from conventional pancreatic cancer in pathological diagnosis. 4. MiNEN. 5. Cases deemed unsuitable for this study by the principal investigator or co-investigators.

Design outcomes

Primary

MeasureTime frame
Concordance rate between the prediction model and the Grade of resected specimens.

Countries

Japan

Contacts

Public ContactDaiki Yamashige

National Cancer Center Hospital Department of Hepatobiliary and Pancreatic Oncology

dyamashi@ncc.go.jp03-3542-2511

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026