FDA-cleared profile

Optellum Virtual Nodule Clinic, Optellum software, Optellum platform

Optellum Ltd

Virtual Nodule Clinic (VNC) is a software device used in the tracking, assessment and characterization of incidentally detected pulmonary nodules. VNC includes a computer-aided diagnosis (CADx) function, available only to pulmonologists and radiologists. This automatically analyzes user-selected regions of interest (ROI) within lung CT data to provide volumetric and compute analysis based on morphological characteristics. Using only imaging features extracted from the CT image data, an artificial intelligence algorithm calculates a single value, the LCP-CNN score, which is displayed to the user. The LCPCNN score is analyzed relative to LCP-CNN scores generated on a database of cases with known ground-truth using a histogram display format. The LCP-CNN score may be useful in the characterization of pulmonary nodules during image interpretation and may be used as one input to clinical decision making when following published clinical guidelines. VNC’s LCP-CNN score is indicated for the evaluation of incidentally detected solid and semi-solid pulmonary nodules of diameter 5-30mm in patients aged 35 years or above. In cases where multiple abnormalities are present, VNC’s LCPCNN score can be used to assess each abnormality independently.

Evidence status: each field shows source quality, applicability, and review date. Research pending, information not established in reviewed sources, and vendor documentation pending are distinct outcomes.

Clinical fit

What this tool is for

Start with the authorized purpose, then verify how it fits your service line and reading workflow.

Exact purpose
Virtual Nodule Clinic (VNC) is a software device used in the tracking, assessment and characterization of incidentally detected pulmonary nodules. VNC includes a computer-aided diagnosis (CADx) function, available only to pulmonologists and radiologists. This automatically analyzes user-selected regions of interest (ROI) within lung CT data to provide volumetric and compute analysis based on morphological characteristics. Using only imaging features extracted from the CT image data, an artificial intelligence algorithm calculates a single value, the LCP-CNN score, which is displayed to the user. The LCPCNN score is analyzed relative to LCP-CNN scores generated on a database of cases with known ground-truth using a histogram display format. The LCP-CNN score may be useful in the characterization of pulmonary nodules during image interpretation and may be used as one input to clinical decision making when following published clinical guidelines. VNC’s LCP-CNN score is indicated for the evaluation of incidentally detected solid and semi-solid pulmonary nodules of diameter 5-30mm in patients aged 35 years or above. In cases where multiple abnormalities are present, VNC’s LCPCNN score can be used to assess each abnormality independently.
Public source Exact FDA submission Checked 2026-09-01

Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.

Intended users
Pulmonologists and radiologists (for CADx function); clinicians, nurses, nurse practitioners, and navigators (for management functions only, without access to LCP-CNN score)
Public source Exact FDA submission Checked 2026-09-01

Intended-user text reported in the exact-submission ACR model card.

Care setting and population
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Confirm the intended care setting, patient population, and service line.

Workflow role
Measurement or quantification
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Required input
CT images or data. Inclusion criteria: Patients aged 35 years or above with incidentally detected solid and/or semi-solid pulmonary nodules of diameter 5-30mm; between one and five nodules; no history of cancer in the past five years; no thoracic implants that impact the image appearance of the nodule; CT images with median attenuation <=3 00HU in the aortic arch; no motion artifacts; no missing slices.
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Output and human action
The AI model outputs a single integer score (LCP-CNN score) between 1 and 10, where 1 indicates very likely benign and 10 indicates very likely malignant. The score is displayed alongside a histogram showing the distribution of scores from a database of malignant and benign nodules with known ground truth. The score is intended to aid characterization of incidentally detected solid and semi-solid pulmonary nodules and serve as one input to clinical decision making.
Public source Exact FDA submission Checked 2026-09-01

Clinical output reported in the exact-submission ACR model card.

Limitations
Scanner manufacturers: All
Public source Exact FDA submission Checked 2026-09-01

Limitations and supported-acquisition details reported in the exact-submission ACR model card.

Regulatory identity

FDA record and catalog context

The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.

FDA submission
K202300
FDA source Exact FDA submission Checked 2026-08-31
Modality
CT/CTA
Public source Exact FDA submission Checked 2026-09-01

Imaging modality reported in the exact-submission ACR AI Central model card.

Anatomy
Heart/Cardiovascular
Public source Exact FDA submission Checked 2026-09-01

Anatomy normalized from explicit exact-submission ACR model-card wording.

Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2021-03-05
FDA source Exact FDA submission Checked 2026-08-31
FDA status
FDA-cleared
FDA source Exact FDA submission Checked 2026-08-31

Implementation

Questions for IT, informatics, and operations

Use these fields to structure a vendor demo, security review, and implementation estimate.

Integration
Standards-based DICOM/PACS integration was identified in the FDA submission materials; compatibility with a specific PACS, RIS, EHR, or orchestrator requires confirmation.
Public source Exact FDA submission Checked 2026-08-13

Normalized from the prior exact-submission review. Confirm interface versions and local compatibility during technical evaluation.

Deployment and data flow
On-premise
Public source Exact FDA submission Checked 2026-08-13

Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

FDA authorization does not establish the current commercial security posture. Request data-flow diagrams, hosting and retention details, access controls, audit logging, attestations, and incident-response documentation.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Training, onboarding, competency, and support commitments are commercial implementation details that require current vendor documentation.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.

Supported acquisition environment

Scanner manufacturers: All

exact submission · checked 2026-09-01

Confirm currently supported software versions, protocols, and site-specific acquisition configurations.

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.

Evidence summary
Study type: Both. Reported accuracy: 86.70%. Reader-study cases: 300. Readers: 12
Public source Exact FDA submission Checked 2026-09-01

Structured study metadata from the exact-submission ACR model card; this is not an independent evidence synthesis.

Reported sensitivity
5%
FDA source Exact FDA submission Checked 2026-08-13

Values reported in the exact-submission materials. Consult the linked source for endpoint, threshold, population, and confidence interval before comparison.

Reported specificity
5%
FDA source Exact FDA submission Checked 2026-08-13

Values reported in the exact-submission materials. Consult the linked source for endpoint, threshold, population, and confidence interval before comparison.

No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.

Optellum Virtual Nodule Clinic, Optellum Software, Optellum Platform regulatory performance study summary

Stand-alone performance and reader study (ACR AI Central category) · Population described in the exact-submission ACR model card

exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K202300 · Independence not established

K202300

ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.

Economics and lifecycle

Budget and ongoing governance

These are common procurement questions; unknown values remain visible until a source supports them.

Pricing and total cost
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

FDA submission materials do not establish current commercial pricing. Request the pricing unit, term, minimum commitment, implementation fees, and included support from the vendor.

Reimbursement and coding
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Determine whether any product-specific CPT/HCPCS pathway exists and separate it from billing for the underlying imaging service.

Safety and lifecycle

Postmarket record

Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.

Postmarket safety review
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-04

No native submission-identifier match was found in the checked openFDA radiology recall snapshot. Product-name, manufacturer, and adverse-event searches remain necessary; this does not establish that no recall or safety report exists.

Buyer worksheet

Open questions to take to the vendor

Open evaluation checklist

Research record

What has been checked

This audit distinguishes completed source review from fields that have not yet been researched.

Exact FDA record reviewedStatus
2026-09-04Last searched
19Fields reviewed
6Source classes checked
0Unreviewed PubMed leads
0Unreviewed trial leads
0Unreviewed FDA recall leads

Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Automated exact-name discovery found 0 PubMed and 0 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads remain unpublished until a human confirms the exact product and tested version.

Source classes: fda ai list, fda decision summary, acr ai central product, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-02.

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