FDA-cleared profile

AccuContour

Manteia Technologies Co., Ltd.

Authorized purpose: AccuContour generates and supports editing of organ-at-risk contours from multimodality imaging, including noncontrast CT, for radiation-treatment planning, evaluation, and adaptation.

Evidence status: each field states its source quality, applicability, and review date. Research pending, information not established, and vendor documentation pending remain distinct outcomes.

Product overview

Start with the essentials

Authorized purpose: AccuContour generates and supports editing of organ-at-risk contours from multimodality imaging, including noncontrast CT, for radiation-treatment planning, evaluation, and adaptation.

Overview status: Source-reviewed overview

Clinical takeaway

Clinical role: AccuContour generates and supports editing of organ-at-risk contours from multimodality imaging, including noncontrast CT, for radiation-treatment planning, evaluation, and adaptation.

Evidence takeaway

Evidence from the reviewed source record: K221706 reports segmentation, multimodality registration, software, and workflow verification and validation for radiation-oncology use. Generated contours require review and editing by qualified staff; the public package does not establish a universal Dice, sensitivity, or clinical-outcome claim.

Clinical details

What this tool is for

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

Exact purpose
AccuContour generates and supports editing of organ-at-risk contours from multimodality imaging, including noncontrast CT, for radiation-treatment planning, evaluation, and adaptation.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

Exact FDA decision-summary packet reviewed on 2026-09-19; existing wording is supported without expansion.

Intended users
Radiation oncology department.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

The exact indication identifies the radiation oncology department, not the dossier's named professional role list.

Care setting and population
Radiation-oncology departments using compatible planning, imaging, and treatment-delivery systems.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-03
Workflow role
Radiotherapy contouring, treatment planning, adaptation, or treatment-session management under professional review.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-03
Required input
It is used to register multi-modality images and segment (non-contrast) CT images. The product receives, adds/edits/deletes, transmits, inputs/exports medical images and DICOM data.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

The exact packet supports multi-modality and non-contrast CT image processing and medical-image/DICOM handling; prescriptions, plans, and treatment-session inputs are not stated.

Output and human action
Deep learning contouring can automatically contour the organ-at-risk in head and neck, thorax, abdomen and pelvis areas. The product also provides automatic registration, manual contouring, review of processed images, plan evaluation and plan comparison, and dose analysis.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

The exact device description lists these contouring, registration, review, plan-evaluation, and dose-analysis functions; it does not state the current treatment-plan, adapted-plan, or session-management output wording.

Limitations
Contraindications: None. No limitation on scanner model; DICOM 3.0 compliance required.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

The exact technology table states no contraindications and the DICOM compliance boundary; it does not state the current qualified-review and final-approval wording.

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
K221706
  • FDA source
  • Exact FDA submission
  • Checked 2026-08-31
Modality
Radiotherapy Planning Imaging
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

Exact FDA decision-summary packet reviewed on 2026-09-19; existing wording is supported without expansion.

Anatomy
Multi-region
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-19

Exact FDA decision-summary packet reviewed on 2026-09-19; existing wording is supported without expansion.

Clearance type
510(k)
  • FDA source
  • Exact FDA submission
  • Checked 2026-08-31
Decision date
2023-03-09
  • 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
DICOM RT and vendor workflow integration; validate patient identity, image geometry, structures, dose, plan transfer, approvals, version compatibility, and rollback.
  • Public source
  • Product family
  • Checked 2026-09-03

Current vendor materials are product-family evidence for K221706; confirm the exact cleared version, enabled options, deployment, and local compatibility.

Deployment and data flow
Licensed software connected to compatible radiotherapy planning and delivery infrastructure.
  • Public source
  • Product family
  • Checked 2026-09-03

Current vendor materials are product-family evidence for K221706; confirm the exact cleared version, enabled options, deployment, and local compatibility.

Security and privacy
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-09-03

Public materials reviewed for this exact release do not establish the complete security posture. Request data-flow, identity, audit, encryption, retention, remote-access, vulnerability-management, backup, and incident-response evidence.

Training and support
Only qualified radiation oncologists, medical physicists, dosimetrists, and radiation therapists should operate or interpret the product. 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, model, and algorithm 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 these product-specific limits: Generated or modified contours and plans require qualified review, editing when needed, independent checks, and final approval before treatment.
  • Public source
  • Product family
  • Checked 2026-09-03

Current vendor materials are product-family evidence for K221706; confirm the exact cleared version, enabled options, deployment, and local compatibility.

Release and scope verification

Map the installed model, build, options, population, anatomy, inputs, outputs, and enabled AI functions to K221706 before acceptance.

exact submission · checked 2026-09-03

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

Interoperability acceptance

DICOM RT and vendor workflow integration; validate patient identity, image geometry, structures, dose, plan transfer, approvals, version compatibility, and rollback.

product family · checked 2026-09-03

Test representative identifiers, orientation, geometry, measurements, units, routing, failure handling, and round trips locally. Vendor statements are current product-family context; confirm the exact cleared release and installed options.

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. Generated or modified contours and plans require qualified review, editing when needed, independent checks, and final approval before treatment.

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

No exact-product price was found in the reviewed public material; vendor productivity claims are scenario inputs, not guaranteed local savings.

Lifecycle monitoring

Monitor by exact hardware, software, model, and algorithm 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 these product-specific limits: Generated or modified contours and plans require qualified review, editing when needed, independent checks, and final approval before treatment.

product family · checked 2026-09-03

Revalidate after material software, hardware, model, protocol, interface, or clinical-policy changes. Vendor statements are current product-family context; confirm the exact cleared release and installed options.

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version. Candidate literature without exact product and version linkage is not shown as product evidence.

Evidence summary
K221706 reports segmentation, multimodality registration, software, and workflow verification and validation for radiation-oncology use. Generated contours require review and editing by qualified staff; the public package does not establish a universal Dice, sensitivity, or clinical-outcome claim.
  • FDA 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 endpoint for this system, reconstruction, segmentation, guidance, or quantitative function. Use the task-specific evidence below.

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

Specificity is not the primary endpoint for this system, reconstruction, segmentation, guidance, or quantitative function. Use the task-specific evidence below.

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

K221706 FDA performance package for AccuContour

  • DesignManufacturer contouring, registration, software, and radiotherapy-workflow verification and validation
  • PopulationRadiation-treatment planning, evaluation, and adaptation using supported multimodality images
  • Scopeexact submission
  • Tested versionAccuContour
  • IndependenceSponsor or vendor study

K221706

Manufacturer evidence submitted for FDA clearance or approval; local clinical, technical, and workflow acceptance remains necessary.

3 unlinked candidate evidence records are retained for source review and excluded from this evidence display.

Costs and setup

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, 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 or approval.

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 K221706 by exact submission identifier. This does not exclude product-family, later, or adverse-event information.
  • Public source
  • Exact FDA submission
  • Checked 2026-09-03

Exact-identifier review does not prove absence of all product-family safety signals.

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
2026-09-20Last searched
27Fields reviewed
14Source classes checked
7Screened PubMed leads
0Screened trial leads
0Unreviewed FDA recall leads

The refreshed discovery snapshot contains 7 PubMed and 0 ClinicalTrials.gov candidate records. Discovery metadata alone does not establish exact tested-product, version, population, and endpoint applicability, so all candidates remain quarantined and none was promoted. The current discovery snapshot contains 7 PubMed and 0 ClinicalTrials.gov candidate records; its dated, count-matched human screening remains current. Unlinked candidates remain quarantined. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads were screened against the exact product and tested version. Unlinked records remain quarantined.

Source classes: fda ai list, fda decision summary, fda decision material, vendor product page, peer reviewed literature, clinical trial registry, reimbursement policy, fda device recall, fda decision summary packet, literature index, trial registry, pubmed, clinical trials, openfda device recall

Sources & history

How this profile was documented

Open the ledger for source dates, scope, and research-record updates.

View source ledger and history

Source ledger

  1. FDA K221706: AccuContour

    U.S. Food and Drug Administration - Published 2023-03-09 - Accessed 2026-09-19

    Scope: purpose, modality, anatomy, intendedUsers, input, output, limitations, evidenceSummary

  2. Artificial Intelligence-Enabled Medical Devices

    U.S. Food and Drug Administration - Accessed 2026-08-31

    Scope: regulatoryIdentity, modalityContext

  3. PubMed biomedical literature index

    U.S. National Library of Medicine - Accessed 2026-09-01

    Scope: evidenceDiscovery

  4. ClinicalTrials.gov study registry

    U.S. National Library of Medicine - Accessed 2026-09-01

    Scope: evidenceDiscovery, studyStatus

  5. openFDA Device Recall API

    U.S. Food and Drug Administration - Accessed 2026-09-02

    Scope: recallDiscovery, nativeSubmissionMatching

  6. Radiation Oncology Model

    Centers for Medicare & Medicaid Services - Accessed 2026-09-02

    Scope: reimbursement, radiationTherapyPaymentContext

  7. Manteia AccuContour

    Manteia Medical - Accessed 2026-09-03

    Scope: productFamilyContext, workflowRole, implementationCapabilities

  8. Interobserver delineation variability of computed tomography-based radiomic features of the parotid gland.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

  9. Evaluation Exploration of Atlas-Based and Deep Learning-Based Automatic Contouring for Nasopharyngeal Carcinoma.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

  10. Consistency evaluation and performance optimization of deep learning-based auto-contouring for nasopharyngeal carcinoma.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

  11. Evaluating the impact of different deface algorithms on deep learning segmentation software performance.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

  12. Clinical validation of commercial deep-learning based auto-segmentation models for organs at risk in the head and neck region: a single institution study.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

  13. Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

  14. Efficacy of radiomics model based on the concept of gross tumor volume and clinical target volume in predicting occult lymph node metastasis in non-small cell lung cancer.

    U.S. National Library of Medicine - Accessed 2026-09-03

    Scope: evidenceStudies, productFamilyContext, evidenceDiscovery

Research history

  1. K221706 FDA decision

    Regulatory record

    510(k)

  2. Source-review record updated

    Research record

    fda record reviewed

  3. Reader overview source-reviewed

    Editorial review

    Source-reviewed editorial overlay

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