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Trial Title: WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma

NCT ID: NCT05925764

Condition: Lung Adenocarcinoma
Whole Slide Image
IASLC Grading System
Artificial Intelligence

Conditions: Official terms:
Adenocarcinoma
Adenocarcinoma of Lung

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Prospective

Intervention:

Intervention type: Diagnostic Test
Intervention name: Whole Slide Image based Deep Learning
Description: Whole Slide Image Based Deep Learning for Diagnosing the IASLC Grading System of Lung Adenocarcinoma

Summary: The purpose of this study is to evaluate the performance of a whole slide image based deep learning model for diagnosing the IASLC grading system in resected lung adenocarcinoma based on a multicenter prospective cohort.

Criteria for eligibility:

Study pop:
Resected Lung Adenocarcinoma

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: 1. Age ranging from 18-85 years old; 2. Pathological confirmation of primary lung adenocarcinoma after surgery; 3. Obtained written informed consent. Exclusion Criteria: 1. Multiple lung lesions; 2. Poor quality of whole slide images; 3. Mucinous adenocarcinomas and variants; 4. Participants who have received neoadjuvant therapy.

Gender: All

Minimum age: 18 Years

Maximum age: 85 Years

Locations:

Facility:
Name: Affiliated Hospital of Zunyi Medical University

Address:
City: Zunyi
Country: China

Status: Recruiting

Contact:
Last name: Yongxiang Song, Dr

Phone: 15505177258
Email: zhong961008@163.com

Facility:
Name: The First Affiliated Hospital of Nanchang University

Address:
City: Nanchang
Country: China

Status: Recruiting

Contact:
Last name: Bentong Yu, Dr

Phone: 021-65115006
Email: 1151697503@qq.com

Facility:
Name: Ningbo HwaMei Hospital

Address:
City: Ningbo
Country: China

Status: Recruiting

Contact:
Last name: Minglei Yang, Dr

Phone: 021-65115006
Email: almondjj@163.com

Start date: October 15, 2024

Completion date: December 31, 2024

Lead sponsor:
Agency: Shanghai Pulmonary Hospital, Shanghai, China
Agency class: Other

Source: Shanghai Pulmonary Hospital, Shanghai, China

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT05925764

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