Deep Learning for Preoperative Pulmonary Assessment in Thoracic CT
Launched by THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIVERSITY · Jun 26, 2024
Trial Information
Current as of June 26, 2025
Recruiting
Keywords
ClinConnect Summary
This clinical trial is exploring how advanced technology, called deep learning, can help doctors better understand lung function in patients who are about to have thoracic surgery (surgeries involving the chest area). The goal is to use images from a special type of scan called a CT scan to accurately predict how well a person’s lungs will work after surgery. This information could help doctors plan the best care for their patients.
To participate in the trial, you would need to be between 18 and 75 years old and scheduled for elective thoracic surgery. You would also need to have good cooperation during lung function tests and have recent CT scans of your chest that are clear and complete. If you join, you can expect to have your lung function assessed alongside the CT imaging, which will help researchers learn about the best ways to prepare patients for surgery. This study is currently looking for volunteers, and your participation could contribute to important advancements in patient care.
Gender
ALL
Eligibility criteria
- Inclusion Criteria:
- • (1) Signing of the informed consent form;
- • (2) Male or female, aged 18-75 years;
- • (3) Undergoing elective thoracic surgery;
- • (4) Good preoperative pulmonary function cooperation and complete reporting;
- • (5) Preoperative chest single/dual phase CT scans without significant artefacts and with complete imaging;
- • (6) The interval between preoperative pulmonary function and single/dual phase CT scans does not exceed one month.
- Exclusion Criteria:
- • (1) Poor preoperative pulmonary function cooperation or missing reports;
- • (2) Preoperative chest single/dual phase CT scans exhibit significant artefacts or image omission;
- • (3) The interval between preoperative pulmonary function and single/dual phase CT scans exceeds one month;
- • (4) Complication with severe respiratory disorders (such as lung transplantation, pneumothorax, giant bullae, etc.);
- • (5) Coexisting with other severe functional impairments;
- • (6) Patients with obstructive lesions such as airway or esophageal stenosis;
- • (7) Height beyond the predicted equation range (Female \< 1.45m; Male \< 1.55m);
- • (8) Medication use before pulmonary function testing that does not meet the cessation guidelines;
- • (9) Pulmonary function report quality graded D-F.
About The First Affiliated Hospital Of Guangzhou Medical University
The First Affiliated Hospital of Guangzhou Medical University is a leading clinical research institution located in Guangzhou, China, renowned for its commitment to advancing medical knowledge and improving patient care through innovative research. As a comprehensive teaching hospital, it integrates clinical practice, education, and research, fostering a multidisciplinary approach to healthcare. The hospital is equipped with state-of-the-art facilities and a team of experienced professionals dedicated to conducting high-quality clinical trials across various therapeutic areas. By leveraging its extensive expertise and resources, the First Affiliated Hospital aims to contribute significantly to the development of new treatments and therapies, enhancing health outcomes for patients both locally and globally.
Contacts
Jennifer Cobb
Immunology at National Institute of Allergy and Infectious Diseases (NIAID)
Locations
Guangzhou, Guangdong, China
Patients applied
Trial Officials
Jianxing He, MD
Principal Investigator
Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangzhou Medical College
Timeline
First submit
Trial launched
Trial updated
Estimated completion
Not reported