Viewing Study NCT05771740



Ignite Creation Date: 2024-05-06 @ 6:46 PM
Last Modification Date: 2024-10-26 @ 2:54 PM
Study NCT ID: NCT05771740
Status: NOT_YET_RECRUITING
Last Update Posted: 2023-03-16
First Post: 2023-01-30

Brief Title: Pulmonary Fibrosis Lung Sounds Study
Sponsor: Royal Devon and Exeter NHS Foundation Trust
Organization: Royal Devon and Exeter NHS Foundation Trust

Study Overview

Official Title: Feasibility Study for Gathering Lung Sound Recordings From Pulmonary Fibrosis Patients and Healthy Controls and Classifying Disease Status Using a Combination of Digital Sound Device and Machine Learning
Status: NOT_YET_RECRUITING
Status Verified Date: 2023-03
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: The goal of this observational study is to test whether it is possible to detect particular lung sounds that are unique to patients with the lung disease pulmonary fibrosis and whether any such sounds could be analysed using machine learning to make diagnosing disease easier

Participants will have a sound detection device placed in different locations on the chest and audio sounds will be recorded for analysis

Researchers will compare audio recordings from clinically diagnosed patients with recordings from healthy controls of a similar age to see whether the sounds are sufficiently different within that age group
Detailed Description: This is a study of chest audio recordings obtained using a sound enhancer in this case a Bluetooth device combined with intelligent computer-processing and analysis It is being carried out amongst pulmonary fibrosis patients and healthy controls of a similar age with the aim to improve diagnosis of pulmonary fibrosis and remote monitoring of disease progression

Expert respiratory doctors gain important insights about the health of a patients lungs by listening to the chest with a stethoscope Currently there are insufficient respiratory experts and specialist equipment to meet the patient demand leading to delays in diagnosis and treatment and a shortage of specialist care following diagnosis

In this study the investigators are aiming to make that specialist practice much more available by recording lung sounds and developing software to do the intelligent analysis Initial tests with publicly available recordings of expertly diagnosed respiratory sounds have shown that different lung diseases can be detected with a very high degree of accuracy using new software Here the investigators want to test that software with a cost-effective digital sound device in a clinical setting The aim is for respiratory diseases to be diagnosed quickly and easily and also in future for patients to be offered the option to monitor how well they are after diagnosis in their own home

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None