ClinicalTrials.gg
Status unknownNCT05313854Updated Apr 6, 2022

Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data

An observational study in Pancreatic Cancer, sponsored by RenJi Hospital. Status unknown at 1 site in China. Open to participants aged 18 Years to 90 Years. Per ClinicalTrials.gov, last updated 2022-04-06.

Sponsored by RenJi Hospital · Observational

The sponsor has not verified this record recently (last verified Mar 2022), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
1,000
Ages
18 Years to 90 Years
Sex
All
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Study summary

This prospective cohort study is designed to investigate the diagnostic ability and prediction accuracy of pancreatic cancer by radiomics data and clinical data.

Read the detailed description

In this study, investigators aimed to investigate the diagnostic performance and prediction accuracy of pancreatic cancer by radiomics data and clinical data, which include CT scan, MRI, PET-CT, PET-MR, ultrasound, and clinical data.

02

Conditions studied

  • Pancreatic Cancer

Keywords

  • Pancreatic Cancer
  • Machine Learning
  • Radiomics
  • CT
  • MRI
  • Ultrasound
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In context

Pancreatic Neoplasms

3,310 studies on the registry are indexed under Pancreatic Neoplasms; 910 are open to participants now.

This study's planned enrollment of 1,000 is above the median of 200 across 636 observational studies indexed under Pancreatic Neoplasms.

Browse Pancreatic Neoplasms studies →

Lead sponsor

RenJi Hospital is the lead sponsor of 550 studies on the registry; 248 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 90 Years
Sexes eligible
All
Sampling method
Non-probability sample

Study population

hospitalized patients with radiology conformed pancreatic tumor

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

Clinical diagnosis of pancreatic tumor; Must have CT / MRI / ultrasound data and pathology diagnosis

Exclusion criteria

Exclusion Criteria:

Have other tumors along with pancreatic tumor; Clinical information missing

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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
1,000 participants (estimated)
Patient registry
No
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What researchers measure

Primary outcomes

  1. Patient overall survival

    Patient overall survival, from the time of diagnosis of pancreatic tumor to the death of the patient.

    Time frame: up to 3 years

Secondary outcomes

  1. Pathology diagnosis

    Pathology diagnosis of the patient, such as adenocarcinoma, pancreatic neuroendocrine tumors, intraductal Papillary Mucinous Neoplasm, et al.

    Time frame: intraoperative

Other outcomes

  1. Progression-free Survival

    Patient progression-free survival, the length of time during and after the treatment of the tumor, that a patient lives with the disease but it does not get worse.

    Time frame: up to 3 years

07

Study locations

1 of 1 sites recruiting
  • Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University
    Shanghai, China
    Recruiting
08

References and documents

Publications

  • Xu X, Qu J, Zhang Y, Qian X, Chen T, Liu Y. Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma. Front Oncol. 2023 Feb 24;13:1074445. doi: 10.3389/fonc.2023.1074445. eCollection 2023. PubMed 36910599 ↗
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 6, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05313854
Lead sponsor
RenJi Hospital
Responsible party
Sponsor
First posted
Apr 6, 2022
Start date
Jan 1, 2021
Primary completion
Dec 31, 2023 (estimated)
Completion
Dec 31, 2023 (estimated)
Last update
Apr 6, 2022

Study contacts

Xinsen Xu, Dr
Contact
xuxinsen@gmail.com
+86-21-68383713
Tao Chen, Dr
Contact
dr_chentao78@163.com
+86-21-68383713
Tao Chen, Dr
principal investigator · Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Mar 2022. You cannot join it, but the record below documents what was studied.

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