Whole Slide Image for Predicting the Novel Grading System of Resected Lung Adenocarcinoma

Lung Adenocarcinoma Clinical Trial

Official title:

Deep Learning Signature Based on Whole Slide Images for Predicting the Novel Grading System of Resected Lung Adenocarcinoma

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT05925764
• Other study ID #: WSIGS
• Status: Recruiting
• Start date: May 1, 2023
• Est. completion date: October 31, 2023

Study information

• Verified date: June 2023
• Source: Shanghai Pulmonary Hospital, Shanghai, China
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

The purpose of this study is to evaluate the performance of a whole slide image based deep learning signature for predicting the novel grading system in resected lung adenocarcinoma based on a multicenter prospective cohort.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 800
• Est. completion date: October 31, 2023
• Est. primary completion date: October 31, 2023
• Gender: All
• Age group: 20 Years to 75 Years

Eligibility

Inclusion Criteria:

1. Pathological confirmation of primary lung adenocarcinoma;

2. Age ranging from 20-75 years;

3. Obtained written informed consent.

Exclusion Criteria:

1. Multiple lung lesions;

2. Poor quality of whole slide images;

3. Participants with incomplete clinical information;

4. Mucinous adenocarcinomas and variants;

5. Participants who have received neoadjuvant therapy.

Related Conditions & MeSH terms

• Adenocarcinoma
• Adenocarcinoma of Lung
• Lung Adenocarcinoma

Intervention

Diagnostic Test:
• Whole Slide Image based Deep Learning Signature
Deep Learning Signature Based on Whole Slide Image for Predicting the Novel Grading System In Resected Lung Adenocarcinoma

Locations

Country	Name	City	State
China	The First Affiliated Hospital of Nanchang University	Nanchang	Jiangxi
China	Ningbo HwaMei Hospital	Ningbo	Zhejiang
China	Affiliated Hospital of Zunyi Medical University	Zunyi	Guizhou

Sponsors (4)

Lead Sponsor	Collaborator
Shanghai Pulmonary Hospital, Shanghai, China	Ningbo HwaMei Hospital, Zhejiang, China, The First Affiliated Hospital of Nanchang University, Jiangxi, China, Zunyi Medical College

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Specificity	The specificity of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.	2023.5.1-2023.10.31
Other	Positive predictive value	The positive predictive value of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.	2023.5.1-2023.10.31
Other	Negative predictive value	The negative predictive value of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.	2023.5.1-2023.10.31
Other	Accuracy	The accuracy of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.	2023.5.1-2023.10.31
Primary	Area under the receiver operating characteristic curve	The area under the receiver operating characteristic curve of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.	2023.5.1-2023.10.31
Secondary	Sensitivity	The sensitivity of the deep learning model based on whole slide imge in predicting the novel grading system of resected lung adenocarcinoma. The novel grading system of lung adenocarcinoma includes grade I, grade II, and grade III. And the model will output the predictive values (grade I/grade II/grade III) of the grade for each patient with resected lung adenocarcinoma.	2023.5.1-2023.10.31