Improving the Intraoperative Diagnosis Accuracy of Invasiveness for Small-sized Lung Adenocarcinoma

The goal of this observational study is to improve the intraoperative diagnosis accuracy of invasiveness for small-sized lung adenocarcinoma by combining multi-modal information. The main question it aims to answer is whether multi-modal information have great value of prediction on the invasiveness for small-sized lung adenocarcinoma. Since a promising limited resection is largely based on intraoperative frozen section diagnosis, there is a growing demand on the high-accuracy of timely pathology diagnosis. The multi-modal information of participants will be collected retrospectively.

Recruiting

Interested in participating?

Request Info

Key information

Conditions

Lung Adenocarcinoma, Stage I Adenocarcinoma Adenocarcinoma of Lung Carcinoma Lung Neoplasms Neoplasms Neoplasms by Histologic Type Neoplasms by Site Neoplasms, Glandular and Epithelial Respiratory Tract Neoplasms Thoracic Neoplasms

Age range

20 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Wuhan, Hubei, 430022, China

Location status: Recruiting

Location contact

Xueyun Tan, MD

CONTACT

[email protected]

13419692313 ext. 86

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

CT examination within 3 months before surgery Patients with operable clinical stage I lung cancer No previous treatment in the lungs or any other organ

≥ 20 years and ≤ 80 years old Tumor less than 3cm in diameter on thin-slice (0.625-1 mm) CT images Lung adenocarcinoma confirmed by surgical resection and histopathological diagnosis

Exclusion criteria

Marked artifacts on CT images History of preoperative treatment Incomplete clinical information or DICOM images History of other malignant tumors Lung cancer associated with cystic airspaces

Treatment and study plan

Invasiveness diagnosis

Diagnostic Test

To predict the invasiveness of patients with small-sized lung adenocarcinoma intraoperatively based on multi-modal information.

Primary outcomes

Final pathology diagnosis of the paraffin section stained with HE

Time frame: Immediately after operation

The final pathology diagnosis after resection

Study contacts

Contact information is provided by the study sponsor or research team.

Xueyun Tan, MD

CONTACT

[email protected]

13419692313 ext. 86

Sponsors and collaborators

Lead sponsor

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Other

Registry information

Official study title

Improving the Intraoperative Diagnosis Accuracy for Pre-invasive and Invasive Small-sized Lung Adenocarcinoma Node by Combining Multi-modal Information

Important dates

Study start: 2023
Primary completion: 2025
Study completion: 2026
First posted: Apr 26, 2023
Registry last updated: Sep 19, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Recruiting