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Differentiation Benign and Malignant Pancreatic Lesions

NCT06641947 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 864

Last updated 2024-10-15

No results posted yet for this study

Summary

The MVIT-MLKA model, with its complex architecture combining CNNs and Transformers, excels in image feature extraction and capturing long-range dependencies. This gives it strong adaptability and robustness in lesion detection and classification tasks. Compared to traditional machine learning methods and other deep learning models, MVIT-MLKA not only performs better in terms of accuracy, sensitivity, and specificity but also helps reduce inter-observer variability, enhancing diagnostic consistency among physicians.

Although the model showed slight fluctuations in performance on external datasets, it still outperforms other models overall and holds significant potential for clinical applications. With further optimization to improve its generalization capabilities, MVIT-MLKA could become a powerful tool for diagnosing benign and malignant lesions, providing more consistent and accurate support in clinical practice.

Conditions

  • Pancreatic Tumor

Interventions

PROCEDURE

Whipple procedure

Typically used for treating pancreatic cancer, particularly tumors located in the head of the pancreas.

Sponsors & Collaborators

  • First Affiliated Hospital of Chongqing Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-11
Primary Completion
2024-03-05
Completion
2024-09-20

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06641947 on ClinicalTrials.gov