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Multimodal Deep Learning Model Predicts Pancreatic Cancer Prognosis

Zhejiang University logo

Zhejiang University

Status

Completed

Conditions

Pancreatic Adenocarcinoma

Treatments

Diagnostic Test: No Interventions

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

This study describes the development and validation of a deep learning prediction model, which extracts deep learning features from preoperative enhanced CT scans and analyzes postoperative pathological specimens of pancreatic cancer patients. The aim is to predict patient prognosis and response to chemotherapy treatment.

Full description

This study retrospectively collected enhanced CT scan data, pathological paraffin blocks, and clinical data from pancreatic cancer patients who underwent surgery at multiple centers between March 2013 and May 2024. The pathological paraffin blocks were stained using immunohistochemistry for prognostic immune microenvironment markers, and patients were classified based on these results. Subsequently, deep learning features were extracted from enhanced CT scans, and a multimodal prediction model was constructed using imaging features and clinical information. The model's performance was evaluated using metrics including area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity.

Enrollment

247 patients

Sex

All

Ages

18 to 90 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Patients with pancreatic cancer, diagnosed through pathology;
  2. Patients underwent surgery and received adjuvant chemotherapy after surgery.

Exclusion criteria

  1. Missing or inadequate quality of CT,
  2. Incomplete clinical or pathological data.
  3. Multiple primary malignancies;
  4. History of malignancy.

Trial design

247 participants in 2 patient groups

Training Cohort
Description:
Patients diagnosed with pancreatic cancer who underwent surgery and other treatments at the Second Affiliated Hospital, Zhejiang University School of Medicine
Treatment:
Diagnostic Test: No Interventions
Diagnostic Test: No Interventions
Test Cohort
Description:
Patients diagnosed with pancreatic cancer who underwent surgery and other treatments at the Fourth Affiliated Hospital, Zhejiang University School of Medicine and Hangzhou Hosptial of Traditional Chinese Medicine
Treatment:
Diagnostic Test: No Interventions
Diagnostic Test: No Interventions

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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