(73 days)
Not Found
Unknown
The summary describes "automatic labeling, visualization, and volumetric quantification" and "automatic WMH segmentation" which are tasks often performed by AI/ML algorithms in medical imaging. However, the document does not explicitly mention AI, ML, or deep learning, nor does it provide details about training or test sets that are typical for AI/ML model validation. The description of the segmentation system relying on "a number of atlases" suggests a potential atlas-based segmentation approach, which is not necessarily AI/ML. Without explicit mention or further details about the underlying algorithms, it's impossible to definitively confirm the use of AI/ML.
No
The device is a medical imaging processing application providing quantitative information for evaluation and assessment of MR brain images; it is not described as treating, preventing, or diagnosing a disease or condition.
Yes
Explanation: The device is described as providing "complementary information for the evaluation and assessment of MR brain images and to aid the trained medical professional in quantitative reporting," which indicates its role in aiding diagnosis. It performs "volumetric quantification of segmentable brain structures" and "quantifies white matter hyperintensity (WMH) candidates," which are used in clinical assessment for diagnostic purposes.
Yes
The device is described as a "post-processing analysis software" and a "non-invasive medical imaging processing application" that runs on existing hardware platforms (GE Advantage Workstation or AW Server). There is no mention of any accompanying hardware components being part of the device itself.
Based on the provided information, this device is not an IVD (In Vitro Diagnostic).
Here's why:
- IVD Definition: In vitro diagnostics are tests performed on samples taken from the human body, such as blood, urine, or tissue, to detect diseases, conditions, or infections.
- Quantib™ Brain's Function: Quantib™ Brain processes medical images (MR images) taken from the body, not samples from the body. It analyzes the structure and volume of the brain based on these images.
- Intended Use: The intended use clearly states it's a "non-invasive medical imaging processing application" for analyzing MR brain images.
- Device Description: The device description reinforces that it's post-processing software for analyzing MR images.
Therefore, Quantib™ Brain falls under the category of medical imaging software or a medical device, but not an In Vitro Diagnostic.
N/A
Intended Use / Indications for Use
Quantib™ Brain is a non-invasive medical imaging processing application that is intended for automatic labeling, visualization, and volumetric quantification of segmentable brain structures from a set of magnetic resonance (MR) images. The Quantib™ Brain output consists of segmentations, visualizations and volumetric measurements of grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF). The output also visualizes and quantifies white matter hyperintensity (WMH) candidates. Users need to review and if necessary, edit WMH candidates using the provided tools, before validation of the WMHs. It is intended to provide the trained medical professional with complementary information for the evaluation and assessment of MR brain images and to aid the trained medical professional in quantitative reporting. Quantib™ Brain is a post-processing plugin for the GE Advantage Workstation (AW 4.7) or AW Server (AWS 3.2) platforms.
Product codes
LLZ
Device Description
Quantib™ Brain is post-processing analysis software for the GE Advantage Workstation (AW 4.7) and AW Server (AWS 3.2) platforms using Volume Viewer Apps. 13.0 Ext 4 (or higher). It is intended for automatic labeling, visualization, and volumetric quantification of identifiable brain structures from magnetic resonance images (a 3D T1-weighted MR image, with an additional T2-weighted FLAIR MR image for white matter hyperintensities (WMH) segmentation). The segmentation system relies on a number of atlases each consisting of a 3D T1-weighted MR image and a label map dividing the MR image into different tissue segments. Quantib™ Brain provides quantitative information on both the absolute and relative volume of the segmented regions. The automatic WMH segmentation is to be reviewed and if necessary, edited by the user before validation of the segmentation, after which volumetric information is accessible. Longitudinal analysis can be performed for the brain tissue segmentation and WMH seqmentation in order to compare multiple exams of an individual patient. Quantib Brain is intended to provide the trained medical professional with complementary information for the evaluation and assessment of MR brain images and to aid the radiology specialist in quantitative reporting.
Mentions image processing
Yes
Mentions AI, DNN, or ML
Not Found
Input Imaging Modality
Magnetic resonance (MR) images (a 3D T1-weighted MR image, with an additional T2-weighted FLAIR MR image for white matter hyperintensities (WMH) segmentation)
Anatomical Site
Brain
Indicated Patient Age Range
Not Found
Intended User / Care Setting
Trained medical professional / Not Found
Description of the training set, sample size, data source, and annotation protocol
Not Found
Description of the test set, sample size, data source, and annotation protocol
For Brain Volumetry: The test set included 33 3DT1w MR images. The set was carefully selected to include data from multiple vendors and a series of representative scan settings. For each scan, six (6) slices were selected for comparison. Manual segmentations were used for comparison.
For White Matter Hyperintensities: The test set included 45 3DT1w images, of which 7 contrast-enhanced, all with corresponding T2w FLAIR images. This set also represented various scan settings. WMHs were manually segmented on the T2w FLAIR images.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
Algorithm performance studies were conducted to validate the quality of Quantib™ Brain volume measurements and segmentations.
For Brain Volumetry (segmentation and measures of GM, WM, CSF, and ICV):
- Sample size: 33 3DT1w MR images, with 6 segmented slices per scan.
- Method: Relative volumes and segmentations were compared to relative volumes derived from manual segmentations and to manual segmentations of the same scan.
- Key results:
- CSF: Dice index 0.78 ± 0.05, Absolute difference of the relative volumes 1.8 ± 1.0 pp
- GM: Dice index 0.84 ± 0.02, Absolute difference of the relative volumes 2.7 ± 2.0 pp
- WM: Dice index 0.86 ± 0.02, Absolute difference of the relative volumes 2.8 ± 1.9 pp
- ICV: Dice index 0.97 ± 0.00
For White Matter Hyperintensities protocol:
- Sample size: 45 3DT1w images (7 contrast-enhanced) with corresponding T2w FLAIR images.
- Method: WMHs were manually segmented on the T2w FLAIR images and compared to Quantib™ Brain automatic segmentation output.
- Key results:
- The average Dice overlap between the manual segmentations and Quantib™ Brain segmentations was 0.61 ± 0.13 (over all cases).
- The absolute difference of the relative volumes (for WMHs) was 0.5 ± 0.5 percentage points (over 38 cases without contrast-enhancement).
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Dice index, Absolute difference of the relative volumes (percentage points).
Predicate Device(s)
Reference Device(s)
Not Found
Predetermined Change Control Plan (PCCP) - All Relevant Information
Not Found
§ 892.2050 Medical image management and processing system.
(a)
Identification. A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.(b)
Classification. Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Image /page/0/Picture/0 description: The image contains two logos. The logo on the left is the Department of Health & Human Services - USA logo. The logo on the right is the FDA U.S. Food & Drug Administration logo. The FDA logo is in blue.
Quantib B.V. % Floor van Leeuwen Quality & Regulatory Manager Westblaak 106 3012 KM Rotterdam NETHERLANDS
March 9, 2018
Re: K173939
Trade/Device Name: QuantibTM Brain 1.3 Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: December 22, 2017 Received: December 26, 2017
Dear Floor van Leeuwen:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820);
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Page 2 - Floor Leeuwen
and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert A. Ochs. Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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Indications for Use
510(k) Number (if known) K173939
Device Name QuantibTM Brain 1.3
Indications for Use (Describe)
Quantib™ Brain is a non-invasive medical imaging processing application that is intended for automatic labeling, visualization, and volumetric quantification of segmentable brain structures from a set of magnetic resonance (MR) images. The Quantib™ Brain output consists of segmentations, visualizations and volumetric measurements of grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF). The output also visualizes and quantifies white matter hyperintensity (WMH) candidates. Users need to review and if necessary, edit WMH candidates using the provided tools, before validation of the WMHs. It is intended to provide the trained medical professional with complementary information for the evaluation and assessment of MR brain images and to aid the trained medical professional in quantitative reporting. Quantib™ Brain is a post-processing plugin for the GE Advantage Workstation (AW 4.7) or AW Server (AWS 3.2) platforms.
| Type of Use (Select one or both, as applicable) | |
|---|---|
| Prescription Use (Part 21 CFR 801 Subpart D) | Over-The-Counter Use (21 CFR 801 Subpart C) |
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Quantib™ Brain 1.3 510(k) Summary
Image /page/3/Picture/1 description: The image shows the logo for Quantib. The logo consists of a blue and light blue icon on the left and the word "Quantib" in dark blue on the right. The icon is made up of circles connected by lines, forming a network-like structure.
SUBMITTER 1
Quantib B.V. Westblaak 106 3012 KM Rotterdam Phone: (+31) 108 41 17 49 Contact Person: Floor van Leeuwen Date Prepared: December 20, 2017
Device 2
Name of Device: Quantib™ Brain 1.3 Common or Usual Name: Quantib™ Brain Classification Name: System, image processing, radiology (892.2050) Regulatory Class: II Product Code: Picture archiving and communication system (LLZ)
Predicate device 3
Device: Quantib™ Brain 1.2 Manufacturer: Quantib BV 510(k) Reg. No: K163013 This predicate has not been subject to a design-related recall Requlatory Class: II Product Code: Picture archiving and communication system (LLZ)
Device Description 4
Quantib™ Brain is post-processing analysis software for the GE Advantage Workstation (AW 4.7) and AW Server (AWS 3.2) platforms using Volume Viewer Apps. 13.0 Ext 4 (or higher). It is intended for automatic labeling, visualization, and volumetric quantification of identifiable brain structures from magnetic resonance images (a 3D T1-weighted MR image, with an additional T2-weighted FLAIR MR image for white matter hyperintensities (WMH) segmentation). The segmentation system relies on a number of atlases each consisting of a 3D T1-weighted MR image and a label map dividing the MR image into different tissue segments. Quantib™ Brain provides quantitative information on both the absolute and relative volume of the segmented regions. The automatic WMH segmentation is to be reviewed and if necessary, edited by the user before validation of the segmentation, after which volumetric information is accessible.
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Longitudinal analysis can be performed for the brain tissue segmentation and WMH seqmentation in order to compare multiple exams of an individual patient. Quantib Brain is intended to provide the trained medical professional with complementary information for the evaluation and assessment of MR brain images and to aid the radiology specialist in quantitative reporting.
5 Indications for Use
Indications for use Quantib™ Brain 1.3
Quantib™ Brain is a non-invasive medical imaging processing application that is intended for automatic labeling, visualization, and volumetric quantification of segmentable brain structures from a set of magnetic resonance (MR) images. The Quantib™ Brain output consists of segmentations, visualizations and volumetric measurements of grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF). The output also visualizes and quantifies white matter hyperintensity (WMH) candidates. Users need to review and if necessary, edit WMH candidates using the provided tools, before validation of the WMHs. It is intended to provide the trained medical professional with complementary information for the evaluation and assessment of MR brain images and to aid the trained medical professional in quantitative reporting. Quantib™ Brain is a post-processing plugin for the GE Advantage Workstation (AW 4.7) or AW Server (AWS 3.2) platforms.
Indications for use comparison with predicate device
The intended use of the modified device is equal to the intended use of the previously cleared predicate device [K163013].
6 DEVICE MODIFICATIONS
Quantib™ Brain 1.3 is an update of Quantib™ Brain 1.2 (the predicate device). The differences are the following:
6.1 BRAIN VOLUMETRY ALGORITHM
To improve the ICV results, a different voting mechanism is applied.
6.2 WHITE MATTER HYPERINTENSITIES ALGORITHM
In the White Matter Hyperintensities segmentation algorithm of Quantib Brain 1.3 we have implemented a different type of classify the set of candidate lesions. To improve the algorithm performance, we have extended the set of features used in the classifier.
6.3 LONGITUDINAL REVIEW ALGORITHM
No changes are made to the longitudinal review algorithm.
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7 Technological Characteristics
The following technological characteristics are the same for Quantib™ Brain 1.3 and its predicate device Quantib Brain 1.2:
- . Intended use and Indications for use
- . Target users, anatomical site and usage location
- Design .
- Compatibility with the environment and other devices .
The following technological characteristics are different:
- . Performance: Assessment of the performance of the new WMH algorithm is added. The dataset used for validation has been extended with additional patient data.
- . Reported measures: When a contrast-enhanced 3DT1w scan (in combination with a T2w FLAIR scan) are used as input data, the absolute and relative cross sectional volumes of the brain tissues, and therefore also the relative WMH volumes, are not reported. Absolute WMH measures and WMH longitudinal analysis are displayed.
- . Required input: Contrast-enhanced 3DT1w scans are no longer excluded from processing of WMH. However, not all measures are reported to the user whenever a contrast-enhanced scan is used as input
8 PERFORMANCE DATA:
1. Quality and safety
Quantib™ Brain 1.3 was designed in compliance with the following process standards:
- ISO 14971 - Medical devices - Application of risk management to medical devices
- IEC 62304 - Medical device software - Software life cycle processes
The following quality assurance measures were applied to Quantib™ Brain 1.3 development:
- Risk and hazard analysis ●
- Design reviews
- Unit level testing ●
- Integration testing ●
- System testing
- Performance testing ●
- . Usability engineering
2. Algorithm performance
To validate the quality of Quantib™ Brain volume measurements and segmentations, the relative volumes and the segmentations were compared to relative volumes derived from manual segmentations and to manual segmentations of the same scan. This analysis was performed for GM, WM, CSF, ICV, and WMHs.
For Brain Volumetry (segmentation and measures of GM, WM, CSF, and ICV) the test set included 33 3DT1w MR images. The set was carefully selected to include data from multiple vendors and a series of representative scan settings. For each scan we selected six (6) slices for comparison. The results are summarized below.
6
| | Dice index | Absolute difference of the relative
volumes [pp] |
|-----|-------------|-----------------------------------------------------|
| CSF | 0.78 ± 0.05 | 1.8 ± 1.0 |
| GM | 0.84 ± 0.02 | 2.7 ± 2.0 |
| WM | 0.86 ± 0.02 | 2.8 ± 1.9 |
| ICV | 0.97 ± 0.00 | |
Results of comparison between manual and automatic brain tissue segmentation. Reported values are averages ± std. dev., computed over 6 segmented slices of 33 scans. The Dice index provides a measure for overlap of manual and automatic segmentations (1 = perfect overlap). The absolute differences of the relative volumes (of the brain tissues) are averages ± std. dev. in percentage points.
The test set for the White Matter Hyperintensities protocol included 45 3DT1w images, of which 7 contrast-enhanced, all with corresponding T2w FLAIR images. This set also represented various scan settings. WMHs were manually segmented on the T2w FLAIR images and compared to Quantib™ Brain automatic segmentation output. The average Dice overlap between the manual segmentations and Quantib™ Brain segmentations was 0.61 ± 0.13 (over all cases). The absolute difference of the relative volumes (for WMHs) was 0.5 ± 0.5 percentage points (over 38 cases without contrast-enhancement).
CONCLUSIONS ഗ
By virtue of its intended use and physical and technological characteristics, Quantib™ Brain 1.3 is substantially equivalent to a device that has been approved for marketing in the United States. The performance data shows that Quantib™ Brain 1.3 is as safe and effective as the predicate device.