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Clinical Performance Evaluation of Veye Lung Nodules

Clinical Performance Evaluation of Veye Lung Nodules

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04792632
Acronym
CPEVLN
Enrollment
350
Registered
2021-03-11
Start date
2021-03-03
Completion date
2021-07-31
Last updated
2021-03-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung; Node

Brief summary

Veye Lung Nodules (Aidence B.V., Amsterdam, the Netherlands) is a medical software device that is intended to assist radiologists with pulmonary nodule management on CT chest scans. This clinical trial aims to assess the clinical performance of Veye Lung nodules via a standalone performance evaluation and a reader study.

Interventions

DEVICEVeye Lung nodules

Veye Lung Nodules

Sponsors

Aidence
Lead SponsorINDUSTRY

Study design

Observational model
CASE_CROSSOVER
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

\- Subjects that underwent a CT chest scan for either lung cancer screening or routine practice

Exclusion criteria

* Subjects with \>10 pulmonary nodules; * Subjects with pulmonary mass(es) = largest axial diameter \>30mm; * Subjects with interstitial lung disease.

Design outcomes

Primary

MeasureTime frameDescription
Detection accuracy2 monthsDemonstrate that the accuracy for detecting actionable pulmonary nodules by radiologists using the device (AIDED) is superior to that of radiologists not using the device (UNAIDED)

Secondary

MeasureTime frameDescription
Segmentation accuracy1 monthDemonstrate that the accuracy for segmenting actionable pulmonary nodules by the device is non-inferior to expert radiologists

Other

MeasureTime frameDescription
Growth assessment accuracy1 monthDemonstrate that the accuracy for determining volume change of actionable pulmonary nodules by the device is non-inferior to expert radiologists
Composition classification accuracy2 monthsDemonstrate that the accuracy for classifying the composition of actionable pulmonary nodules by radiologists using the device (AIDED) is superior to that of radiologists not using the device (UNAIDED)

Countries

United States

Contacts

Primary ContactJoris Wakkie, Ms
joris@aidence.com+31624561754

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026