FDA-cleared profile

THINQ

CorticoMetrics LLC

Automatically label, visualize, and volumetrically quantify segmentable brain structures from MR images; volumetric measurements may be compared with reference percentile data.

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

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
Automatically label, visualize, and volumetrically quantify segmentable brain structures from MR images; volumetric measurements may be compared with reference percentile data.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Intended users
Trained physicians; results must be reviewed by a trained physician.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Care setting and population
High-performance computing environment within a clinical workflow; the FDA packet does not specify a facility type.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Workflow role
Automated post-processing labeling, segmentation, volumetric measurement, reference comparison, quality checking, and report/overlay generation with physician review.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Required input
3D T1-weighted MR scan data of the human head in DICOM format; the pipeline performs automated sequence and input-quality checks.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Output and human action
Quantitative neuromorphometry PDF report with brain-structure volume measurements, visualizations, age- and gender-matched percentile comparisons, color-coded segmentation images, and plots; segmentation overlays are output as DICOM-JPEG in sagittal, coronal, and axial planes.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Limitations
The labeled input is 3D T1-weighted DICOM human-head MR data and segmentable brain structures; automated checks may reject nonconforming or corrupted inputs. Results require trained-physician review, and the FDA packet does not establish diagnosis, treatment recommendations, or clinical-outcome performance.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09

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
K192051
  • FDA source
  • Exact FDA submission
  • Checked 2026-08-31
Modality
MRI
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Anatomy
Brain, including segmentable brain structures.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Clearance type
510(k)
  • FDA source
  • Exact FDA submission
  • Checked 2026-08-31
Decision date
2020-09-30
  • 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 input and DICOM-JPEG output for display on DICOM workstations and picture archiving and communication systems are described; the software is packaged as a container for a high-performance computing clinical environment. A specific PACS, RIS, EHR, routing interface, or current hosting configuration is not established.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Deployment and data flow
On-cloud
  • 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 2026-09-09

Exact-release security controls, data retention, hosting boundaries, and scoped assurance documentation require vendor confirmation.

Training and support
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-09-09

Current training prerequisites, competency checks, and support commitments for the exact configuration require vendor confirmation.

Monitoring and change control
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-09-09

Current drift, quality, uptime, alert, escalation, and incident-response commitments for the exact configuration require vendor confirmation.

Input or output interoperability

DICOM is explicitly referenced in the described input, output, or workflow.

exact submission · checked 2026-09-01

The model card does not establish every supported DICOM object, transfer method, or local interface.

Supported acquisition environment

Scanner manufacturers: All

exact submission · checked 2026-09-01

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

ACR exact-submission catalog context

ACR AI Central provides an exact-submission model card for THINQ; FDA labeling remains controlling for clinical use, limitations, and performance.

exact submission · checked 2026-09-09

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
FDA K192051 describes accuracy testing against expert-labeled brain images and reproducibility testing with repeated 3D T1 MR scans. The validation dataset contained 645 unique MR images. Accuracy endpoints were structure-specific Dice, absolute volume error, and relative volume error; examples include whole-brain Dice 0.94, total gray-matter Dice 0.82, total white-matter Dice 0.87, amygdala Dice 0.64-0.66, and intracranial-volume absolute percent difference 3.42. Reproducibility used absolute percent difference for repeated scans. No FDA sensitivity, specificity, diagnostic AUC, or general device-accuracy endpoint is established.
  • FDA source
  • Exact FDA submission
  • Checked 2026-09-09
Reported sensitivity
Research pending
  • Needs research
  • Exact FDA submission
  • Checked 2026-08-31

This field has not been curated yet.

Reported specificity
Research pending
  • Needs research
  • Exact FDA submission
  • Checked 2026-08-31

This field has not been curated yet.

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

THINQ regulatory performance study summary

  • DesignStand-Alone Performance
  • PopulationPopulation described in the exact-submission ACR model card
  • Scopeexact submission
  • Tested versionExact product version not reported; regulatory study summarized for FDA submission K192051
  • Samplen=645
  • IndependenceIndependence not established

K192051

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

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
Vendor documentation pending
  • Vendor confirmation
  • Exact FDA submission
  • Checked 2026-09-09

No public price or quote for the exact K192051 configuration was established in this review.

Reimbursement and coding
Not established in reviewed sources
  • Reviewed sources checked
  • Exact FDA submission
  • Checked 2026-09-09

No exact-product payer policy, coding instruction, or payment determination was established; eligibility must be evaluated by payer, site of service, and use case.

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 exact-identifier FDA recall query returned no native recall record for K192051. This limited result does not establish absence of recalls or other safety information and does not cover later versions, family records, MAUDE reports, corrections, or field notices.
  • Public source
  • Exact FDA submission
  • Checked 2026-09-09

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
2026-09-09Last searched
22Fields reviewed
9Source classes checked
5Awaiting review PubMed leads
1Awaiting review 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. Exact FDA scope controls clinical claims. ACR provides bounded exact-submission catalog context. Candidate literature metadata remains a discovery queue until full-text identity, endpoint, population, and version review is completed. Automated exact-name discovery found 5 PubMed and 1 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, fda device recall, 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 K192051: THINQ

    U.S. Food and Drug Administration - Published 2020-09-30 - Accessed 2026-09-09

    Scope: identity, clinicalUse, modality, anatomy, workflow, evidence, implementation

  2. Artificial Intelligence-Enabled Medical Devices

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

    Scope: regulatoryIdentity, modalityContext

  3. THINQ model card (K192051)

    American College of Radiology - Published 2026-08-17 - Accessed 2026-09-01

    Scope: intendedUsers, output, limitations, evidenceSummary, integration, anatomy, evidenceStudies, implementationCapabilities

  4. PubMed biomedical literature index

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

    Scope: evidenceDiscovery

  5. ClinicalTrials.gov study registry

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

    Scope: evidenceDiscovery, studyStatus

  6. openFDA Device Recall API

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

    Scope: recallDiscovery, nativeSubmissionMatching

  7. openFDA exact recall query for K192051

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

    Scope: postmarketSafety

Research history

  1. K192051 FDA decision

    Regulatory record

    510(k)

  2. Source-review record updated

    Research record

    fda record reviewed

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