Deep Learning for Preoperative Pulmonary Assessment in Thoracic CT

Guangzhou Medical University

Status

Enrolling

Conditions

Pulmonary Function

Deep Learning

Elective Thoracic Surgery

Treatments

Other: Respiratory dual-phase computed tomography.

Other: Single inspiratory phase computed tomography.

Study type

Observational

Funder types

Other

Industry

Identifiers

NCT06477458

ES-2024-091-02

Details and patient eligibility

About

The trial was designed as a single-centre, non-interventional prospective observational study to utilize deep learning technology combined with computed tomography (CT) images to precisely predict the pulmonary function indicators of thoracic surgery preoperative patients.

Full description

Preoperative pulmonary function tests are crucial in assessing perioperative complications or mortality risks and providing decision support for thoracic surgery. However, traditional pulmonary function assessment methods have significant limitations, including long testing durations, difficulties in patient cooperation, high false-negative rates, and numerous contraindications. Thus, our study optimized the final model based on 1500 single inspiratory phase CTs by transferring model parameters trained on 500 dual-phase respiratory CTs, enhancing its predictive capabilities for pulmonary function. This adjustment suits real-world application demands, offering more convenient, comprehensive, and personalized preoperative pulmonary function assessment support. Our study optimized the final model based on 1500 single inspiratory phase CTs by transferring model parameters trained on 500 dual-phase respiratory CTs, enhancing its predictive capabilities for pulmonary function. This adjustment suits real-world application demands, offering more convenient, comprehensive, and personalized preoperative pulmonary function assessment support.

Enrollment

2,000 estimated patients

Sex

All

Ages

18 to 75 years old

Volunteers

No Healthy Volunteers

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.