NCT06641947

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
864

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2022

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 11, 2022

Completed
2.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 5, 2024

Completed
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 20, 2024

Completed
22 days until next milestone

First Submitted

Initial submission to the registry

October 12, 2024

Completed
3 days until next milestone

First Posted

Study publicly available on registry

October 15, 2024

Completed
Last Updated

October 15, 2024

Status Verified

October 1, 2024

Enrollment Period

2.1 years

First QC Date

October 12, 2024

Last Update Submit

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.

Procedure: Whipple procedure

Interventions

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

benign and malignant

Eligibility Criteria

Age18 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

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

Location

MeSH Terms

Conditions

Pancreatic Neoplasms

Interventions

Pancreaticoduodenectomy

Condition Hierarchy (Ancestors)

Digestive System NeoplasmsNeoplasms by SiteNeoplasmsEndocrine Gland NeoplasmsDigestive System DiseasesPancreatic DiseasesEndocrine System Diseases

Intervention Hierarchy (Ancestors)

Digestive System Surgical ProceduresSurgical Procedures, Operative

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.

Locations