An observational study in Chronic Coronary Syndrome, Coronary Artery Disease and Stable Angina, sponsored by GE Healthcare. Not yet recruiting at 1 site in Italy. Per ClinicalTrials.gov, last updated 2025-01-07.
Sponsored by GE Healthcare · Observational
The primary objective of this study is to assess the accuracy in terms of sensitivity, specificity, negative and positive predicted values of the DL-based algorithm with respect to correct identification of the plaque and associated vulnerability grade.
Data collected in this study will be used for technology development, scientific evaluation, education, and regulatory submissions for future products. This is a pre-market, open label, prospective, non-randomized clinical research study conducted at one site in Italy. The product being researched is the Deep Learning-based (DL) algorithm for non-invasive detection of vulnerable coronary plaque.
4,857 studies on the registry are indexed under Coronary Artery Disease; 890 are open to participants now.
This study's planned enrollment of 200 is below the median of 320 across 1,687 observational studies indexed under Coronary Artery Disease.
Browse Coronary Artery Disease studies →GE Healthcare is the lead sponsor of 176 studies on the registry; 21 are open to participants now.
Of its 19 completed or terminated interventional studies of FDA-regulated products, 16 (84%) have results posted.
Counted across the registry records on this site, refreshed daily.
Subjects with chronic coronary syndrome or stable angina, as well as patients with signs of acute coronary syndrome who have been ordered a clinically indicated CCTA and will likely be referred to undergo an ICA combined with OCT will be enrolled in this study. Subjects with recent onset or growing angina may be included in the study. Subjects will be representative of the general population expected to undergo cardiac non-invasive and invasive imaging and treatment procedures as standard of care clinical practice.
The CCTA and ICA with OCT must be carried out within 10 days one from each other. Clinical decision for a PCI after the diagnostic procedures will not limit the enrollment. To preserve the aspect of the plaque, CCTA must be performed first.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.
What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.
Contraindication
A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
BMI (body mass index)
Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.
What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Enrolled subjects will receive a clinically indicated CCTA and ICA with OCT within 10 days. At least two qualified CCTA radiologists will independently review and annotate the coronary plaques in the CCTA using their local post-processing tools. At least two trained OCT readers will review and annotate the coronary plaques in the ICA/OCT using their local post-processing tools. The original de-identified CCTA data will be inputted into the Vulnerable Plaque Detection and Assessment Tool. The tool will perform the automatic identification of the plaque location and characteristics. These results will be compared to assess the algorithm's performance.
Other: Deep Learning-based Vulnerable Plaque Detection and Assessment Tool
Scanning requirements for the clinically indicated CCTA and ICA with OCT will be performed according to current site(s) guidelines and procedures. Administration of medications (such as contrast agents and potentially beta-blockers and other medications) will be given according to standard hospital care. This is a prospective research study evaluating an investigational product. The tool's use is intended for research purposes and is not intended as a substitute for required medical care. The CCTA and ICA with OCT will be processed in real-time using the site's locally available post-processing tools in order to guide the subject's medical care. Once the ICA with OCT is complete, the de-identified CCTA data will be inputted in the investigational tool. The clinically indicated CCTA and the ICA with OCT will both take approximately 1 hour and will take place within 10 days. No additional imaging is needed as part of the study.
Data Collection
Number of subjects with raw CCTA and ICA with OCT data
Time frame: Through study completion, an average of 1 year
Accuracy of Tool
Sensitivity, specificity, negative, and positive predicted values of the DL-based algorithm with respect to correct identification of the plaque and associated vulnerability grade in comparison to qualified readers
Time frame: Through study completion, an average of 1 year
Safety Events
Number of AEs, SAEs, and product issues
Time frame: Through study completion, an average of 1 year
Plan to share: No
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This study is not yet recruiting, as verified in Nov 2024. You cannot join it, but the record below documents what was studied.
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