K-numberK260009
Device nameLungPoint Virtual Bronchoscopic Navigation (VBN) Software
ApplicantBroncus Medical, Inc.
Product codeLLZ
Device classClass II
Decision dateApr 24, 2026
DecisionSubstantially Equivalent
Regulation892.2050
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

The LungPoint Virtual Bronchoscopic Navigation (VBN) Software is a medical imaging system that displays 3D reconstructed CT images of the tracheobronchial tree to assist physicians in guiding bronchoscopes and endoscopic tools to specific targets in the lung during diagnostic and therapeutic bronchoscopic procedures. The software enables marker placement within soft lung tissue and supports both virtual bronchoscopic visualization and fluoroscopic guidance overlays. This submission expands the original adult-only indication to include pediatric patients aged 2 to 17 years.

Technological characteristics

The device design, hardware, operating system, electrical compatibility, sterilization status, calibration features, and all technical specifications are identical to the predicate device. The only material change is the addition of an adjusted airway volume threshold parameter to accommodate smaller pediatric airway dimensions, with user modification of this parameter restricted and guidance provided in the updated user manual.

Test standards cited

The device conforms to IEC 62304:2006 (software development), IEC 60601-1 Edition 3.1 (electrical safety), IEC 60601-1-2:2014 (electromagnetic compatibility), IEC 60601-1-6 (usability), and IEC 62366 (medical device usability). Testing was performed by certified test laboratories to verify compliance with these standards.

Substantial equivalence argument

Substantial equivalence is established because the device is identical to the predicate (K090095) in design, materials, manufacturing, intended use, and functionality. The expansion to pediatric patients is supported by new verification and validation testing on 50 pediatric CT scans (ages 0.25 to 14.1 years) demonstrating 100% successful airway reconstruction with mean diameter measurement errors of ±0.4 to ±0.6 mm (within the ±1.5 mm acceptable range). No changes to software design or manufacturing processes were required, no new safety or effectiveness concerns were identified, and the established adult safety history combined with validated pediatric performance supports the expanded indication without raising new questions of risk.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

Researching this as a predicate?
Want a transparent AI-ranking score, AI-discovered related predicates, ongoing safety and warning-letter monitoring, full predicate chain lineage, and a drafted SE rationale — all saved to your own project? That's what an account adds.
Start free trial →

Everything you need for a 510(k) submission. Nothing you don't.

14-day free trial. No setup. Cancel anytime.

Start free trial →
Building an AI or ML-enabled device? Predicate search, PCCP tracking, and AI-specific FDA intelligence — built exclusively for AI/ML devices. Try AIFDA Intel →