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Veye Lung Nodules, your one-click AI solution for pulmonary nodule management

The second pair of eyes in the search for lung nodules on CT scans

CE certified second or concurrent reader, suitable for routine clinical practice and lung cancer screening.

 

 

Why use Veye Lung Nodules Clinical features
Veye Chest

Meet
Veye Lung Nodules

AN EXAMPLE OF PACS INTEGRATION

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Nodule
Analytics

Lung nodule detection, quantification and growth assessment, fully integrated into the radiology workflow

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Veye Lung Nodules
clinical features

Detection

Detection

  • >= 3mm and <=30mm in size
  • Solid and sub-solid nodules (part-solid/ground-glass opacity)
Quantification

Quantification

  • Diameters: long axis, perpendicular short axis, and the average axial diameter
  • Volume: 3mm, per-slice segmentation and 3D visualisation
Growth assessment

Growth assessment

  • Growth percentage
  • Volume doubling time (VDT)
Classification

Classification

  • Solid and sub-solid nodules
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Why use
Veye Lung Nodules

Proven value for patients

Making a radiology assessment is much more than finding abnormalities on scans. Yet when reporting chest CT scans for lung nodules, you spend most of your time searching for millimetric lesions with the naked eye, counting, segmenting, and measuring them (semi-)manually.

Veye Lung Nodules is ready to assist you with all the time-consuming, tedious and error-prone tasks. Automated volumetry will further give you an insight into the evolution of a nodule.

In a case reported by a Dutch hospital, a nodule’s change in diameter seemed minor; thus, the radiologist was inclined not to follow up. Veye Lung Nodules, however, identified a significant volume growth, helping clinicians arrive at a timely lung cancer diagnosis.

 

 

 

Integrated into your workflow

Veye Lung Nodules runs in the background, automatically processing all eligible studies, including the most recent prior, if available. Its results are delivered directly to the PACS, as part of the original diagnostic series. The results are visible to anyone with PACS access, on or off-site. Or from home. Anytime.

When you start reading the scan, Veye Lung Nodules’ analysis is already present – there is no need for extra clicks, log-ins, and waiting time. Your workflow stays the same – while your reading is supported by powerful AI technology.

 

 

Validated performance

The clinical performance of Veye Lung Nodules has been validated in a study performed by the University of Edinburgh and NHS Lothian. On default settings, Veye detects nodules at a sensitivity of 91% at the cost of 1 false positive on average per scan. The performance has been confirmed by independent research at a large teaching hospital in the Netherlands.

Results from a study with two radiologists show an average ~ 40% reduction in reading time and higher reader agreement when reporting on pulmonary nodules with Veye.

Veye Lung Nodules supports the improvement of patient outcomes by delivering fast results, lowering the risk of misdiagnosis, and by detecting and segmenting possible early-stage lung cancer.

 

 

Trusted across Europe

Veye Lung Nodules is currently running in hospitals across Europe, analysing thousands of patient scans each week

In the UK, it is the AI solution of choice in NHS England’s Targeted Lung Health Checks, a nationwide lung cancer screening programme.

Veye has also been handpicked by AstraZeneca for the European PINPOINT project, aiming to increase early lung cancer diagnosis through better detection and follow-up of incidental pulmonary nodules.

Regardless of your hospital’s location in Europe, the Aidence service team offers dedicated, local training and support.

 

 

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“Veye Lung Nodules improves the quality of cancer care because it automates and standardises the reporting of nodule measurements.”
Dr Thomas Jongsma Dr Thomas Jongsma Radiologist at Tergooi, the Netherlands
“Veye helps us read CT chest scans faster because it provides clear markers for nodules.”
Dr Floris Rietema and Dr Paul Algra Dr Floris Rietema and Dr Paul Algra Dr Floris Rietema, Interventional Radiologist, Dr Paul Algra, board member EuSoMII and Radiologist, Northwest Clinics, the Netherlands
“I love the detection indications. It is a simple yet effective solution that really helps me to report nodules faster. I directly know where to find them.”
Dr Caroline McCann Dr Caroline McCann Consultant Cardiothoracic Radiologist at Liverpool Heart and Chest Hospital NHS Trust Foundation, United Kingdom

Are you ready to champion AI in your radiology team, or do you want to know more?

After learning from our real-world implementations, we can guide you on the path to AI adoption. Veye Lung Nodules is currently deployed in multiple hospitals across Europe, analysing thousands of scans each week.

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