Cardiology ultrasound for shared services

A universal platform for cardiology ultrasound

Extending the versatility of ultrasound to address your cardiology needs

Overview

Overview

Philips’ shared services extends the versatility of your ultrasound systems to address your cardiology needs – with the same platform and user experience. Learn more about our technologies and innovations and how they can improve your cardiology ultrasound workflow, exam experience and patient care.
Benefits
Benefits
Achieve excellent image quality for every patient, from fetal to adult congenital imaging.

Reduce variability and improve reproducibility ^[2,3,4,5] with AI-driven protocols, eliminating the need for certain manual tasks.

Improve clinical confidence with AI-assisted features and tools that automate and quantify and new, advanced measurements including Dynamic Heart Model and Automated Segmental Wall Motion Scoring ^[6].

Simplify echo exams with more efficient procedures and automation of repetitive tasks with AI-driven features such as Auto Measure and Auto Strain ^[2,3,7,8,9].
Key features
Key features
xMatrix transducers provide a complete 2D and Live 3D assessment of cardiac structures and enable advanced quantification tools.

HeartModel provides robust, reproducible ejection fraction measurements in just seconds for simultaneous LV and LA volumes ^[10].

AI-based Segmental Wall Motion AI-based software automatically detects borders and uses all left ventricular (LV) segments to calculate a score that aids assessment of LV impairment.

SmartView Select AI-based technology seeks and identifies the effective images to use in applications such as Strain or EF, as needed by the user.

Demonstrated results in Cardiology ultrasound for shared services

35%

Smaller tip

The Philips X11-4t mini 3D TEE transducer’s small tip helps you extend the life-saving of 3D images to pediatric patients and older adults, and everyone in between ^[1].

51%

Reduction in quantification time

Auto Measure reduced quantification time by 51% as demonstrated with X5-1 transducer ^[2].

82%

Faster image acquisition and analysis

3D echo image acquisition and analysis using HeartModel was 82% faster in the fully automated mode and 63% faster with manual editing compared with using multiple 2DE views for volume measurements ^[3].

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Featured products for Cardiology ultrasound for shared services

EPIQ Elite

Philips EPIQ Elite ultrasound features an exceptional level of clinical performance, workflow, and advanced intelligence to meet the challenges of today’s most demanding practices. EPIQ shares the same workflow, interface and transducers as the Affiniti and Compact systems.

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^Affiniti

Designed for everyday challenges, Philips Affiniti systems feature a small footprint and intuitive interface. Price-conscious organizations unwilling to compromise on quality appreciate its impressive combination of performance, workflow advances and ability to tackle your clinical needs.

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Compact 5000 Series

Designed for mobility and performance, the Compact 5000 series shares the same workflow, interface and transducers as the EPIQ and Affiniti systems. With a quick boot-up and long battery life, the system is always ready to go, so you can bring cardiology ultrasound to wherever you need it.

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Lumify

Use ultra-mobile Lumify handheld ultrasound to detect soft tissue injuries in any care setting, with high-definition imaging. SonoCT reinforces real tissue imaging while eliminating random artifacts. The entire unit fits into a small bag for easy transportation, so you can take ultrasound on the go.

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Documentation

Resources: Ultrasound FlowViewer Case Study

HeartModel innovation proofpoints (407.0KB)
Clinical articles: Heartmodel clinical study (2.04MB)

Auto strain whitepaper (3.35MB)
Video assets: nSIGHT Plus echo value proposition

Philips X5-1c echo transducer value proposition

Philips EPIQ CVx 9.0 with nSight Plus and X5-1c transthoracic transducer

Footnotes

[1] 35% smaller tip width when compared to Philips X8-2t

[2] The Auto Measure feature can reduce the quantification time by 51%. VM 9 claims document 270472A

[3] HeartModel Study (4522 991 17141) by Dr. Roberto Lang: Automated transthoracic three-dimensional echocardiographic quantification of the left heart chambers

[5] Conclusion: RT3DE yields accurate and reproducible RV volumes. The calculated percentile curves may facilitate the clinical use of RT3DE to analyze RV function in children. This study done with Philips 3D AutoRV. Laser, K. T., et al. (2018). "Validation and Reference Values for Three-Dimensional Echocardiographic Right Ventricular Volumetry in Children: A Multicenter Study." J Am Soc Echocardiogr 31(9): 1050-1063.

[6] Henry MP, et al., Three-Dimensional Transthoracic Static and Dynamic Normative Values of the Mitral Valve Apparatus: Results from the Multicenter World Alliance Societies of Echocardiography Study. J Am Soc Echocardiogr. 2022 Jul;35(7):738-751.e1. doi: 10.1016/j.echo.2022.02.010. Epub 2022 Mar 1. PMID: 35245668; PMCID: PMC10257802.

[7] AutoStrain, AutoMeasure, EchoNavigator, 3D Auto MV, 3D Auto RV, HeartModel as compared to equivalent manual methodology.

[8] The AutoSTRAIN application utilizes two automation technologies: Auto View Recognition and Auto Contour Placement. While the implementation of these automation tools drives simple, fast workflow for robust and reproducible GLS measurements, the user retains the ability to edit and override the automation to facilitate good clinical practice. AutoSTRAIN – automated global longitudinal strain (GLS) measurement, Verena Roediger, PhD. PM, TOMTEC/Philips White Paper. Printed in The Netherlands. 4522 991 45791 * FEB 2019.

[9] After performing 10 echo exams with the Compact 5500 system there was 80% agreement that the AutoStrain LV application was fast and easy to use. 275264C_Protego Claims List for Marketing Communications and 277399 Protego User Preference.

[10] Reduce your 2D diagnostic echo exam time by 20% by incorporating Philips automated solutions into your everyday echo. 270472_VMQ9.0 Claims Evidence Report.

[11] Heart Model Clinical Study, 2016.