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A Deep Learning Radiomics Model for Predicting Occult Peritoneal Metastases of Pancreatic Adenocarcinoma


2021-01-01


2022-10-31


2023-07-30


302

Study Overview

A Deep Learning Radiomics Model for Predicting Occult Peritoneal Metastases of Pancreatic Adenocarcinoma

Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PDAC) are frequently overlooked during imaging. We aimed to develop and validate a CT-based deep learning-based radiomics (DLR) model with clinical-radiological characteristics to identify OPM in patients with PDAC before treatment.

This retrospective, bicentric study included 302 patients with PDAC (training: n = 167, OPM-positive, n=22; internal test: n = 72, OPM-positive, n=9: external test, n=63, OPM-positive, n=9) who had undergone baseline CT examinations between January 2012 and October 2022. Handcrafted radiomics (HCR) and DLR features of the tumor and HCR features of peritoneum were extracted from CT images. Mutual information and least absolute shrinkage and selection operator algorithms were used for feature selection. A combined model, which incorporated the selected clinical-radiological, HCR, and DLR features, was developed using a logistic regression classifier using data from the training cohort and validated in the test cohorts.

  • Pancreatic Neoplasms
  • PROCEDURE: surgery or diagnostic staging laparoscopy
  • SYSUFAH2021-025

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates Results Reporting Dates Study Record Updates

2023-11-26  

N/A  

2024-03-26  

2024-03-26  

N/A  

2024-03-29  

2024-03-29  

N/A  

2024-03  

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

Design Details

Primary Purpose:
N/A


Allocation:
N/A


Interventional Model:
N/A


Masking:
N/A


Arms and Interventions

Participant Group/ArmIntervention/Treatment
: peritoneal metastases

No intervention had been adminstered during treatment of patients.

PROCEDURE: 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.

PROCEDURE: 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)
Primary Outcome MeasuresMeasure DescriptionTime Frame
diagnosed with peritoneal metastasespercentageimmediately after the surgery
Secondary Outcome MeasuresMeasure DescriptionTime Frame

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.

Ages Eligible for Study:
ALL

Sexes Eligible for Study:
18 Years

Accepts Healthy Volunteers:

    Inclusion Criteria:
    Patients with suspected pancreatic tumors who underwent contrast enhanced CT and pathological examinations at Center 1 and Center 2 were eligible for inclusion in this study.
    Exclusion Criteria:

  • (a) pathologically diagnosed PDAC by pathology, (b) time intervals between contrast-enhanced CT and pathology less than 2 weeks; (c) history of pancreatic surgery, (d) history of pancreatic malignancy, and (e) poor CT image quality that undermined peritoneal lesion assessment

Collaborators and Investigators

This is where you will find people and organizations involved with this study.


    • STUDY_DIRECTOR: Shi-Ting Feng, MD, First Affiliated Hospital, Sun Yat-Sen University

    Publications

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    General Publications

    No publications available