FDA-cleared profile

Contour+ (MVision AI Segmentation)

MVision AI Oy

Contour+ generates initial CT and MR anatomical contours for head and neck, brain, breast, lung and abdomen, and pelvic radiation-treatment planning workflows.

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
Contour+ generates initial CT and MR anatomical contours for head and neck, brain, breast, lung and abdomen, and pelvic radiation-treatment planning workflows.
FDA source Exact FDA submission Checked 2026-09-03
Intended users
Qualified radiation oncologists, medical physicists, dosimetrists, and trained treatment-planning staff.
FDA source Exact FDA submission Checked 2026-09-03
Care setting and population
Radiation-therapy planning departments in hospitals and clinics.
FDA source Exact FDA submission Checked 2026-09-03
Workflow role
Initial anatomical contour generation before radiation-treatment planning and professional approval.
Public source Exact FDA submission Checked 2026-09-03
Required input
DICOM CT or MR images transferred locally or through a supported cloud workflow.
FDA source Exact FDA submission Checked 2026-09-03
Output and human action
Generated anatomical structures for review, editing, approval, and transfer to a treatment-planning workflow.
FDA source Exact FDA submission Checked 2026-09-03
Limitations
Contour+ does not detect tumors and K241490 is not for real-time adaptive treatment. Structure, anatomy, modality, scanner, and release support must be verified, and every contour requires clinical review.
FDA source Exact FDA submission Checked 2026-09-03

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
K241490
FDA source Exact FDA submission Checked 2026-08-31
Modality
Radiotherapy Planning Imaging
FDA source Exact FDA submission Checked 2026-09-03
Anatomy
Multi-region
FDA source Exact FDA submission Checked 2026-09-03
Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2024-10-18
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
K241490 describes local DICOM TCP/IP exchange and cloud transfer of deidentified DICOM using TLS.
Public source Exact FDA submission Checked 2026-09-03
Deployment and data flow
On-premises or cloud deployment described in the exact FDA summary.
Public source Exact FDA submission Checked 2026-09-03
Security and privacy
K241490 describes deidentification and TLS for cloud transfer. Current vendor materials describe pseudonymization and encryption; obtain the exact architecture, access, audit, retention, backup, and incident-response package.
FDA source Exact FDA submission Checked 2026-09-03

Confirm the controls against the exact contracted architecture and release.

Training and support
Only qualified radiation oncologists, medical physicists, dosimetrists, and trained treatment-planning staff. should operate or interpret the system. Local onboarding should cover the exact release, supported population, limitations, failure examples, escalation, downtime, and competency documentation.
FDA source Exact FDA submission Checked 2026-09-03
Monitoring and change control
Monitor by exact hardware, software and model version, patient population, anatomy, protocol, operator, input quality, output edits or overrides, failed studies, repeat acquisition or rework, downstream impact, downtime, incidents, recalls, and updates. Track the limits that matter for this product: Contour+ does not detect tumors and K241490 is not for real-time adaptive treatment. Structure, anatomy, modality, scanner, and release support must be verified, and every contour requires clinical review.
Public source Exact FDA submission Checked 2026-09-03

Release and scope verification

Map the installed model, build, options, population, anatomy, inputs, and outputs to K241490 before acceptance.

exact submission · checked 2026-09-03

Later product-family features are not evidence that this cleared release includes them.

Interoperability acceptance

K241490 describes local DICOM TCP/IP exchange and cloud transfer of deidentified DICOM using TLS.

exact submission · checked 2026-09-03

Test representative identifiers, orientation, geometry, measurements, units, routing, failure handling, and round trips locally.

Clinical acceptance

Use a signed local test set for the supported population and workflow. Include common and difficult cases, exclusions, acquisition variation, failed or low-quality inputs, reviewer overrides, and downstream effects. Contour+ does not detect tumors and K241490 is not for real-time adaptive treatment. Structure, anatomy, modality, scanner, and release support must be verified, and every contour requires clinical review.

exact submission · checked 2026-09-03

Define stop-use, escalation, rollback, and revalidation triggers before production use.

Economic evaluation

Model capital and recurring cost against net staff time after review, throughput, repeat imaging or rework, room time, consumables, infrastructure, training, service, downtime, upgrade, and replacement costs.

product family · checked 2026-09-03

Vendor productivity claims are scenario inputs, not guaranteed local savings.

Lifecycle monitoring

Monitor by exact hardware, software and model version, patient population, anatomy, protocol, operator, input quality, output edits or overrides, failed studies, repeat acquisition or rework, downstream impact, downtime, incidents, recalls, and updates. Track the limits that matter for this product: Contour+ does not detect tumors and K241490 is not for real-time adaptive treatment. Structure, anatomy, modality, scanner, and release support must be verified, and every contour requires clinical review.

exact submission · checked 2026-09-03

Revalidate after material software, hardware, model, protocol, interface, or clinical-policy changes.

Evidence

Performance evidence

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

Evidence summary
FDA materials describe release-specific contour verification. Independent and guidance literature shows structure-dependent performance and emphasizes local acceptance, review burden, dosimetric impact, and lifecycle monitoring instead of reliance on average overlap metrics.
Public source Exact FDA submission Checked 2026-09-03
Reported sensitivity
Not applicable
Not applicable Not applicable Checked 2026-09-03

Sensitivity is not the primary applicable endpoint for this acquisition, reconstruction, segmentation, planning, guidance, or dose-delivery function. Use the task-specific endpoints and tested population reported below.

Reported specificity
Not applicable
Not applicable Not applicable Checked 2026-09-03

Specificity is not the primary applicable endpoint for this acquisition, reconstruction, segmentation, planning, guidance, or dose-delivery function. Use the task-specific endpoints and tested population reported below.

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

K241490 FDA performance package for Contour+ (MVision AI Segmentation)

Manufacturer locked-model contouring verification across supported CT and MR anatomies · Representative head and neck, brain, breast, thoracoabdominal, and pelvic radiotherapy images

exact submission · Tested version: Contour+ cleared in K241490 · Sponsor or vendor study

K241490

Manufacturer evidence submitted for substantial equivalence; local clinical, technical, and workflow acceptance remains necessary.

Guidance on selecting and evaluating AI auto-segmentation systems

Peer-reviewed implementation and evaluation guidance · Radiotherapy auto-segmentation selection and deployment

product family · Tested version: Multiple commercial product families · Independent study

PMC11997002

Cross-product guidance; not exact K241490 performance evidence.

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
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-03

No public list price for the exact cleared configuration was found. Obtain a written quote separating hardware or license basis, enabled features, implementation, interfaces, infrastructure, training, service, upgrades, renewal, consumables, and exit costs.

Reimbursement and coding
No separate named-product Medicare payment was identified in the reviewed CMS radiation-oncology material. Evaluate net planning or delivery value within the radiotherapy service line.
Public source Not applicable Checked 2026-09-03

No product-specific code

No separate named-product payment identified in reviewed public material

Centers for Medicare & Medicaid Services · United States

Build a local total-cost and value model; do not infer reimbursement from FDA clearance.

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
The 2026-09-02 openFDA device-recall snapshot contained no record matched to K241490 by exact submission identifier.
Public source Exact FDA submission Checked 2026-09-03

A zero-result exact-identifier search does not prove that no recall, correction, adverse-event report, or product-family safety signal 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.

Human reviewedStatus
2026-09-04Last searched
24Fields reviewed
9Source classes checked
20Unreviewed PubMed leads
10Unreviewed trial leads
0Unreviewed FDA recall leads

Recovered from the prior exact-submission extraction and normalized under the current provenance rules. Exact FDA materials, current product-family sources, selected clinical literature, reimbursement context, and exact-identifier recall candidates were reviewed. Pricing, contracted services, enabled options, final security architecture, and local interoperability remain organization-specific evidence. Automated exact-name discovery found 20 PubMed and 10 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, vendor product page, peer reviewed publication, reimbursement policy, fda device recall, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-03.

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