Faster, more informed assessment of patients at risk
Accurate coronary artery assessment
Salix seeks to overcome the challenges of non-invasive cardiac imagining assessment. Salix AI is built on a foundation of cardiac-scan data from some of the world’s leading research institutes and radiology practices. Studies have revealed highly accurate atherosclerosis detection. This included >90 per cent accuracy for calcium scoring, 90 per cent accuracy for stenosis >50 per cent, and >70 per cent accuracy in the detection of vulnerable plaque.
Optimised cardiac reporting workflows
A radiology practice trial found using Salix increased productivity significantly, with workflows up to five times faster. The study showed the time taken for radiography tasks such as assessing calcium, optimising and labelling 3D models, and tracking vessels was cut by 30 minutes for a healthy patient and more than 40 minutes for a person showing signs of disease.
High quality, automatic reports
An Australian pilot study in 2021 found Salix provided high-quality assessments and reports on patient heart health. A senior radiologist reported he “had not found a scan in the trial where Salix reported differently” to his expert opinion. Salix removed the need for multiple tests, with comprehensive heart metrics provided in real time. Images and projections were deemed clear and effective.
How Salix can transform your cardiac imaging workflow
The time taken to create reports of cardiac imaging for people showing heart disease was cut by more than an hour.
An Australian practice has highlighted the efficiency and accuracy of Salix. Radiographers and radiologists trialled its use in their busy urban practice. They tracked the time it took for standard cardiac imaging assessment and compared it to the optimised workflow enabled by Salix. Under the existing protocols, the radiographer worked up a scan by loading a calcium scorer device for assessment, before calculating the Agatston Score. Inputs are added to the multi-ethnicity study of atherosclerosis (MESA) score.
Then the images were worked up. Cardiac imaging devices created a visualisation and a 3D model. Radiographers then clarified and labelled the images, with the four heart vessels and branches. They saved the images. Tracking the vessels was then required, along with manual accuracy assessments and corrections through the major arteries and sub-branches. The radiographer then labelled and saved the images for the radiologist’s review.
Research Publications Of Interest
Plaque imaging with CT - A comprehensive review on coronary CT angiography based risk assessment
CT based technologies have evolved considerably in recent years. Coronary CT angiography (CTA) provides robust assessment of coronary artery disease (CAD).
Early coronary CTA imaging—as a gate-keeper of invasive angiography—has focussed on the presence of obstructive stenosis. Coronary CTA is currently the only non-invasive imaging modality for the evaluation of non-obstructive CAD, which has been shown to contribute to adverse cardiac events. Importantly, improved spatial resolution of CT scanners and novel image reconstruction algorithms enable the quantification and characterization of atherosclerotic plaques.
High-Risk coronary plaque on computed tomography angiography
Coronary computed tomography angiography (CTA) is the only noninvasive imaging technique that reliably depicts the anatomic extent of coronary artery disease (CAD).
Specifically, the analysis of ECG-synchronized coronary CTA images permits accurate assessment of both the presence and degree of luminal obstruction and the presence, morphology, and composition of coronary atherosclerosis, including high-risk plaque features, such as positive remodeling, low computed tomography attenuation plaque, napkin-ring sign, and spotty calcium.
Comprehensive plaque assessment by coronary CT angiography
Most acute coronary syndromes are caused by sudden luminal thrombosis due to atherosclerotic plaque rupture or erosion.
Preventing such an event seems to be the only effective strategy to reduce mortality and morbidity of coronary heart disease. Coronary lesions prone to rupture have a distinct morphology compared with stable plaques, and provide a unique opportunity for noninvasive imaging to identify vulnerable plaques before they lead to clinical events.