Differentiation Benign and Malignant Pancreatic Lesions
D
Enhancing the Accuracy of Classifying Benign and Malignant Pancreatic Lesions Using the MVIT-MLKA Model: A Comprehensive Evaluation and Comparative Study
1 other identifier
observational
864
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 11, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 5, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
September 20, 2024
CompletedFirst Submitted
Initial submission to the registry
October 12, 2024
CompletedFirst Posted
Study publicly available on registry
October 15, 2024
CompletedOctober 15, 2024
October 1, 2024
2.1 years
October 12, 2024
October 12, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
overall survival time
The main outcome measure in this study was overall survival (OS), calculated from the date of the initial surgery to the date of death from any cause or the last follow-up.
1 year
Study Arms (1)
benign and malignant
Benign Lesion Group: This cohort includes patients diagnosed with benign pancreatic lesions, such as pancreatic cysts or neuroendocrine tumors. These patients typically do not require aggressive treatments like surgery or chemotherapy and are managed with regular monitoring and non-invasive interventions. Histopathological confirmation or stability over a minimum of one year of follow-up without progression is used to classify lesions as benign. Malignant Lesion Group: This cohort comprises patients diagnosed with malignant pancreatic lesions, such as pancreatic ductal adenocarcinoma (PDAC). These patients often require more aggressive treatment options, including surgery, chemotherapy, and radiotherapy. The malignancy of the lesions is confirmed through histopathological analysis, and the cohort focuses on cases with clear evidence of tumor growth and progression.
Interventions
Typically used for treating pancreatic cancer, particularly tumors located in the head of the pancreas.
Eligibility Criteria
all people were selected from three medical centers in chongqing province
You may qualify if:
- All patients with malignant pancreatic lesions had confirmed histopathology according to the 8th edition of the American Joint Committee on Cancer TNM staging system \[25\]; Lesions were classified as benign if they had either histopathologic confirmation or demonstrated benign characteristics with stability over at least one year of follow-up on CT or MRI imaging; (2) Patients underwent preoperative abdominal contrast-enhanced CT scans; (3) No anti-tumor treatment was conducted before the CT scan
You may not qualify if:
- (1) Patients with significant motion artifacts or other imaging issues; (2) A time gap of one month or more between the CT scan and subsequent surgery; (3) Tumors less than 10 mm in maximum diameter.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
the First Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing Municipality, 400016, China
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Dr.
Study Record Dates
First Submitted
October 12, 2024
First Posted
October 15, 2024
Study Start
January 11, 2022
Primary Completion
March 5, 2024
Study Completion
September 20, 2024
Last Updated
October 15, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share
We intend to make the IPD available to qualified researchers upon request. This will be subject to ethical approval and adherence to relevant data protection regulations.