A Deep Learning Radiomics Model for Predicting Occult Peritoneal Metastases of Pancreatic Adenocarcinoma
NCT ID: NCT06336694
Last Updated: 2024-03-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
302 participants
OBSERVATIONAL
2021-01-01
2023-07-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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peritoneal metastases
No intervention had been adminstered during treatment of patients.
surgery or diagnostic staging laparoscopy
diagnosis of PDAC with peritoneal examination based on the surgical (for tumors treated with surgery) or diagnostic staging laparoscopy findings (for tumors treated with radiotherapy/chemotherapy)
without peritoneal metastases
No intervention had been adminstered during treatment of patients.
surgery or diagnostic staging laparoscopy
diagnosis of PDAC with peritoneal examination based on the surgical (for tumors treated with surgery) or diagnostic staging laparoscopy findings (for tumors treated with radiotherapy/chemotherapy)
Interventions
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surgery or diagnostic staging laparoscopy
diagnosis of PDAC with peritoneal examination based on the surgical (for tumors treated with surgery) or diagnostic staging laparoscopy findings (for tumors treated with radiotherapy/chemotherapy)
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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First Affiliated Hospital, Sun Yat-Sen University
OTHER
Responsible Party
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Siya Shi
clinical doctor
Principal Investigators
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Shi-Ting Feng, MD
Role: STUDY_DIRECTOR
First Affiliated Hospital, Sun Yat-Sen University
Locations
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Shi Siya
Guangzhou, Guangdong, China
Countries
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Other Identifiers
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SYSUFAH2021-025
Identifier Type: -
Identifier Source: org_study_id
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