Feasible study of preoperative diagnosis for intraductal papillary mucinous neoplasms using artificial intelligence

Feasible study of preoperative diagnosis for intraductal papillary mucinous neoplasms using artificial intelligence - Study of diagosis for pancreatic cysts using artificial intelligence

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000027956

Enrollment

200

Registered

2017-06-27

Start date

2017-04-14

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

Intraductal papillary mucinous neoplasms

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: The patients who has pancreatic cyst such as intraductal papillary mucinous neoplasms and underwent detailed evaluation such as endoscopic ultrasonography (EUS) preoperatively

Exclusion criteria

Exclusion criteria: The patients whose EUS images or findings of panreatic cysts were unavailable.

Design outcomes

Primary

Measure	Time frame
Diagnostic accuracy of predicting malignancy in intraductal papillary mucinous neoplasms of pancreas	—

Countries

Japan

Contacts

Public ContactTakamichi Kuwahara

Aichi Cancer Center Hospital Department of Gastroenterology

kuwa_tak@aichi-cc.jp052-762-6111

Outcome results