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The study includes two parts:
Part 1:
Part 2:
Part 1 Total of 424 examination were collected from two medical centers. Participants that were referred to routine echo examinations and signed an informed consent were enrolled to the study. The image acquisition was done using ultrasound devices available in the medical centers. In addition Lumify ultrasound device was supplied by the sponsor.
Each examination contained 10 clips, each representing a different scanning scenario where the image acquisition contained transitions between common user "acquisition error" to correctly acquired images.
The examinations in DICOM format and echo reports were collected after anonymization, the patient details were documented in a study log that was stored in the medical center.
The collected clips were tagged for image quality by experienced sonographers. The distribution of the collected data according to ultrasound devices, age, gender and LV function was analyzed.
The data was randomly split into training and clinical validation sets, such that the proportion of data according to data distribution was maintained and the data set for the clinical evaluation will contain 100 patient examinations.
The LVivo IQS algorithm will be applied to the clinical validation set automatically by batch processing. The image quality score provided by the LVivo IQS will be compared to the image quality tagging by the sonographers
Part 2 The trial is designed as a prospective multicenter study, enrolling 50 patients at two medical centers. In each medical center Lumify ultrasound devices on which the LVivo IQS demo software will be installed will be provided for image acquisition. The image acquisition will be done by POC medical doctors, at different stages of their internship, that received POCUS training during their medical studies and are using ultrasound devices in accordance with their routine workflow. The scans will be done in different POC units including ER, ICU and internal departments.
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| Measure | Description | Time Frame |
|---|---|---|
| Part 1: Overall agreement of 75% between image quality classification by LVivo IQS and the data tagging by experienced sonographers | Up to 24 weeks | |
| Part 2: 80% of the Exams with image quality 3-5 by visual estimation, received at least "Medium" image quality by LVivo IQS | Up to 24 weeks | |
| Part 2: 90% of these cases (when at least "Medium" image quality is indicated by LVivo IQS) are clinically interpretable | Up to 24 weeks |
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Inclusion Criteria:
Part 1 Study:
Part 2 Study:
Exclusion Criteria:
Part 1 Study:
1. Subjects who fail to meet any inclusion criteria
Part 2 Study:
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Part 1 Patients age ≥18 referred for echo evaluation
Part 2 Patients age ≥18 with indication for POCUS examination
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Soroka university medical center | Beersheba | Israel |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32503704 | Background | Johri AM, Galen B, Kirkpatrick JN, Lanspa M, Mulvagh S, Thamman R. ASE Statement on Point-of-Care Ultrasound during the 2019 Novel Coronavirus Pandemic. J Am Soc Echocardiogr. 2020 Jun;33(6):670-673. doi: 10.1016/j.echo.2020.04.017. Epub 2020 Apr 15. | |
| 34840746 | Background | Hashim A, Tahir MJ, Ullah I, Asghar MS, Siddiqi H, Yousaf Z. The utility of point of care ultrasonography (POCUS). Ann Med Surg (Lond). 2021 Nov 2;71:102982. doi: 10.1016/j.amsu.2021.102982. eCollection 2021 Nov. No abstract available. |
| Label | URL |
|---|---|
| EchoNous official cite | View source |
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| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D001145 | Arrhythmias, Cardiac |
| D000787 | Angina Pectoris |
| D000789 | Angina, Unstable |
| D008171 | Lung Diseases |
| D006333 | Heart Failure |
| D012769 | Shock |
| D004630 | Emergencies |
| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D017202 | Myocardial Ischemia |
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| Background | Dall T. et al. The Complexities of Physician Supply and Demand: Projections From 2019 to 2034. Association Of American Medical Collage, 2021. |
| 27783380 | Background | Blanco P, Volpicelli G. Common pitfalls in point-of-care ultrasound: a practical guide for emergency and critical care physicians. Crit Ultrasound J. 2016 Dec;8(1):15. doi: 10.1186/s13089-016-0052-x. Epub 2016 Oct 26. |
| 32175861 | Background | Smistad E, Ostvik A, Salte IM, Melichova D, Nguyen TM, Haugaa K, Brunvand H, Edvardsen T, Leclerc S, Bernard O, Grenne B, Lovstakken L. Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Dec;67(12):2595-2604. doi: 10.1109/TUFFC.2020.2981037. Epub 2020 Nov 24. |
| 31361311 | Background | Unlu S, Duchenne J, Mirea O, Pagourelias ED, Bezy S, Cvijic M, Beela AS, Thomas JD, Badano LP, Voigt JU; EACVI-ASE Industry Standardization Task Force. Impact of apical foreshortening on deformation measurements: a report from the EACVI-ASE Strain Standardization Task Force. Eur Heart J Cardiovasc Imaging. 2020 Mar 1;21(3):337-343. doi: 10.1093/ehjci/jez189. |
| 34177163 | Background | Kumar V. There is No Substitute for Human Intelligence. Indian J Crit Care Med. 2021 May;25(5):486-488. doi: 10.5005/jp-journals-10071-23832. |
| 33599681 | Background | Narang A, Bae R, Hong H, Thomas Y, Surette S, Cadieu C, Chaudhry A, Martin RP, McCarthy PM, Rubenson DS, Goldstein S, Little SH, Lang RM, Weissman NJ, Thomas JD. Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use. JAMA Cardiol. 2021 Jun 1;6(6):624-632. doi: 10.1001/jamacardio.2021.0185. |
| Background | Liu B.R et al. Emergency Ultrasound Standard Reporting Guidelines. ACEP, 2018. pp. 2-44. |
| Background | Dixon, W.J., Massey, F.J. Introduction to Statistical Analysis. 4th Edition McGraw-Hill, 1983. pp. 105-107 |
| 29432198 | Background | Nagata Y, Kado Y, Onoue T, Otani K, Nakazono A, Otsuji Y, Takeuchi M. Impact of image quality on reliability of the measurements of left ventricular systolic function and global longitudinal strain in 2D echocardiography. Echo Res Pract. 2018 Mar;5(1):27-39. doi: 10.1530/ERP-17-0047. Epub 2018 Feb 5. |
| 33615390 | Background | Russell FM, Herbert A, Ferre RM, Zakeri B, Echeverria V, Peterson D, Wallach P. Development and implementation of a point of care ultrasound curriculum at a multi-site institution. Ultrasound J. 2021 Feb 21;13(1):9. doi: 10.1186/s13089-021-00214-w. |
| Background | Goldman, L. et al. Echocardiography. Elsevier, Inc, 2020. pp. 253-260 |
| Ultrasight official site | View source |
| D014652 | Vascular Diseases |
| D002637 | Chest Pain |
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D012140 | Respiratory Tract Diseases |
| D020969 | Disease Attributes |