THINQ
Overview
THINQ is an AI-based software developed by CorticoMetrics, designed for advanced MRI brain volumetric reporting. It received 510(k) clearance from the U.S. Food and Drug Administration (FDA) on September 30, 2020, classifying it as a Class II medical device (Radiological Image Processing System, 21 CFR §892.2050).
The software automatically segments T1-weighted MRI brain images, providing precise volumetric measurements and visualizations of 30 critical brain structures. These measurements are then compared to age and gender-matched reference percentile data, offering quantitative insights for clinical assessment. THINQ generates comprehensive neuromorphometry reports in PDF format, which include color-coded segmentations of the brain and plots illustrating how measurements compare to the reference data. Additionally, brain segmentations are available in DICOM format as encapsulated JPEG images.
THINQ is intended for use by radiologists and neurologists to augment patient assessment for a range of neurological disorders and conditions, aiming to increase examination throughput and improve the overall quality of patient outcomes. It is packaged as a container for deployment and operation within a high-performance computing environment in a clinical workflow.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automatic segmentation of T1-weighted MRI brain images
- Volumetric measurements of 30 critical brain structures
- Visualization of brain structures with color-coded segmentations
- Comparison to age and gender-matched reference percentile data
- Quantitative neuromorphometry reports in PDF format
- DICOM format output for brain segmentations (encapsulated JPEG images)
- Aids workflow of radiologists and neurologists
- Aims to increase examination throughput
Use Cases
- Augmenting patient assessment for neurological disorders and conditions
- Automating brain morphometry
- Providing quantitative information for neurological disorders (e.g., dementia, epilepsy, multiple sclerosis, TBI)
- Improving clinical decision making in neuroradiology
What Physicians Need to Know
Physicians can leverage THINQ for objective, quantitative MRI brain volumetric reporting, which can enhance examination throughput and improve the overall quality of patient assessment for various neurological conditions. The detailed volumetric data, compared against normative populations, provides valuable insights for diagnosing and monitoring neurodegenerative disorders and other brain-related conditions.
THINQ outputs brain segmentations in DICOM format as encapsulated JPEG images, facilitating integration into Picture Archiving and Communication Systems (PACS) and existing clinical workflows. CorticoMetrics, which commercializes neuroimaging analysis software like FreeSurfer, also has tools for DICOM anonymization and converting FreeSurfer outputs to DICOM, indicating a focus on interoperability with standard neuroimaging data formats.
Details
| Category | Neurology AI, Radiology & Imaging AI |
| Pricing | Not publicly disclosed |
| Deployment | Packaged as a container for high-performance computing environment within a clinical workflow. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated THINQ received 510(k) clearance (K192051) from the U.S. FDA on September 30, 2020. It is a Class II medical device (21 CFR §892.2050, Radiological Image Processing System) intended for automatic labeling, visualization, and volumetric quantification of segmentable brain structures from MR images. |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Radiology |
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Press & Coverage
Videos
Product demos, reviews, and walkthroughs for THINQ.
Unexpected use cases for data versioningu2014a webinar with engineers from CorticoMetrics
Quilt Data
