Ignite Creation Date:
2025-12-25 @ 2:10 AM
Ignite Modification Date:
2025-12-27 @ 10:56 PM
Study NCT ID:
NCT04208360
Status:
UNKNOWN
Last Update Posted:
2020-10-22
First Post:
2019-12-18
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D012135', 'term': 'Respiratory Sounds'}], 'ancestors': [{'id': 'D012818', 'term': 'Signs and Symptoms, Respiratory'}, {'id': 'D012816', 'term': 'Signs and Symptoms'}, {'id': 'D013568', 'term': 'Pathological Conditions, Signs and Symptoms'}]}}, 'protocolSection': {'designModule': {'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'CASE_ONLY'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 84}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'UNKNOWN', 'lastKnownStatus': 'NOT_YET_RECRUITING', 'startDateStruct': {'date': '2021-03', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2020-10', 'completionDateStruct': {'date': '2021-10', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2020-10-20', 'studyFirstSubmitDate': '2019-12-18', 'studyFirstSubmitQcDate': '2019-12-20', 'lastUpdatePostDateStruct': {'date': '2020-10-22', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2019-12-23', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2021-08', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of wheezes by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of rhonchi by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of coarse crackles by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of fine crackles by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of wheezes by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of rhonchi by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of coarse crackles by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of fine crackles by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of wheezes by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of rhonchi by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of coarse crackles by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of fine crackles by StethoMe AI algorithms in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of wheezes by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of rhonchi by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of coarse crackles by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of fine crackles by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of wheezes by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of rhonchi by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of coarse crackles by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of fine crackles by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of wheezes by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of rhonchi by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of coarse crackles by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of fine crackles by pulmonologists in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of wheezes by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of rhonchi by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of coarse crackles by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Sensitivity for detection of fine crackles by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of wheezes by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of rhonchi by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of coarse crackles by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'Specificity for detection of fine crackles by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of wheezes by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of rhonchi by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of coarse crackles by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': 'F1 score for detection of fine crackles by general practitioners in comparison to gold standard'}, {'measure': 'Collecting pulmonary auscultation recordings', 'timeFrame': '24 hours', 'description': '\\- Possibility to perform pulmonary auscultation by physician by using study device with dedicated application, defined as a percentage of enrolled patients in whom the pulmonary auscultation was performed.'}]}, 'oversightModule': {'isUsExport': False, 'isFdaRegulatedDrug': False, 'isUnapprovedDevice': True, 'isFdaRegulatedDevice': True}, 'conditionsModule': {'conditions': ['Wheezing', 'Rhonchi', 'Crackle', 'Lung Sound']}, 'descriptionModule': {'briefSummary': 'In the present trial, the StethoMe electronic stethoscope will be used for pulmonary auscultation and recording of lung sounds in the pediatric study population.', 'detailedDescription': 'Multicenter, international - 2 EU sites (max. 1 in Poland) and a single US site.\n\nTrial centers and investigators will be identified and selected based on their clinical and research experience.\n\nThe trial objective is to assess whether use of the StethoMe AI lung sounds analysis software provides clinical benefit by improving the identification of abnormal lung sounds in the categories of wheezes, rhonchi, fine crackles and coarse as compared to pulmonary auscultation by experienced physicians (general practitioners (GPs) and pulmonologists).\n\nThe recordings will be used to form a gold standard database of lung sounds as evaluated by an expert, independent panel according to the study protocol. The gold standard database will include approximately equal representation of wheezes, rhonchi, fine crackles and coarse crackles. Moreover, the database will also include recordings without any of the previous descripted pathological sounds. The results of these two analyses, by traditional physician listening and by the StethoMe AI software application, will be assessed for sensitivity and specificity to the gold standard database in detection of the four lung sounds and recordings without defined pathological sounds. The StethoMe AI will be considered to provide clinical benefit if it demonstrates statistically better sensitivity or specificity on any of the four lung sounds as compared to the traditional physician auscultation, together with F1 score analysis.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD', 'ADULT'], 'maximumAge': '18 Years', 'minimumAge': '3 Months', 'samplingMethod': 'PROBABILITY_SAMPLE', 'studyPopulation': 'It is planned to enroll 84 patients into the trial in three trial centers that will be participating in the study. Each center should recruit approximately 33% of study recordings (25-30 patients).', 'healthyVolunteers': False, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Children between 3 months and 18 years old (inclusive) admitted and hospitalized in the pulmonary disease ward (PL and EU).\n* Children between 3 months and 18 years old (inclusive) admitted and hospitalized in the pulmonary disease ward or treated in an outpatient clinic (US).\n* Informed consent of parents or caregivers, according to local regulations.\n\nExclusion Criteria:\n\n* Skin/soft tissue disease or local infection at the site of pulmonary auscultation or any other contraindication for the pulmonary auscultation.\n* Any concurrent disease or condition that, in the opinion of the investigator, would make the patient unsuitable for participation in the project.'}, 'identificationModule': {'nctId': 'NCT04208360', 'acronym': 'AIR', 'briefTitle': 'Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds', 'organization': {'class': 'INDUSTRY', 'fullName': 'StethoMe'}, 'officialTitle': 'Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds', 'orgStudyIdInfo': {'id': 'StethoMe AIR'}}, 'armsInterventionsModule': {'interventions': [{'name': 'StethoMe stethoscope', 'type': 'DEVICE', 'description': 'Assessing whether use of the StethoMe AI lung sounds analysis software provides clinical benefit by improving the identification of abnormal lung sounds.'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'StethoMe', 'class': 'INDUSTRY'}, 'responsibleParty': {'type': 'SPONSOR'}}}}