A method for discriminating pleural adhesions using lung sound analysis.

JRCT ID: jRCT1062240003

Registered date:22/04/2024

Basic Information

• Recruitment status: Recruiting
• Health condition(s) or Problem(s) studied: Pleural adhesion
• Date of first enrollment: 15/07/2022
• Target sample size: 500
• Study type: Observational
• Intervention(s): none

Outcome(s)

• Primary Outcome: Sensitivity and specificity of the pleural adhesion prediction model created from vocal and lung sounds.

Secondary Outcome

1. Feature values of lung sounds in the presence of pleural adhesions.
2. The correlation between the presence of pleural adhesions and lung sounds.
3. Accuracy (AUC) of the estimation algorithm.

Key inclusion & exclusion criteria

• Age minimum: >= 18age old
• Age maximum: Not applicable
• Gender: Both

Include criteria

1. Patients who are over the age of 18 at the time of consent acquisition.
2. Patients who are scheduled for thoracic surgery by thoracoscopy or thoracotomy.

Exclude criteria

1. Patients diagnosed with pneumothorax as a result of a chest X-ray examination.
2. Patients whom the attending physician has determined are difficult to participate in the study due to reduced comprehension, unstable mental state, or similar reasons.
3. Others whom the attending physician has judged to be inappropriate for participation in this study.

Related Information

• Primary Sponsor: Toyooka Shinichi
• Secondary Sponsor: AMED Medical Device and Related Research Outcome Deployment Project