Segmentation accuracy study: 50 CTA cases from 48 patients.
—
Indications for Use
Rapid Neuro3D (RN3D) is an image analysis software for imaging datasets acquired with conventional CT Angiography (CTA) from the aortic arch to the vertex of the head. The module removes bone, tissue, and venous vessels, providing a 3D and 2D visualization of the neurovasculature supplying arterial blood to the brain. Outputs of the device include 3D rotational maximum intensity projections (MIPS), volume renders (VR), along with the curved planar reformation (CPR) of the isolated left and right internal carotid and vertebral arteries. Rapid Neuro3D is designed to support the physician in confirming the presence or absence of physician-identified lesions and evaluation, documentation, and follow-up of any such lesion and treatment planning. Its results are not intended to be used on a stand-alone basis for clinical decision-making or otherwise preclude clinical assessment. RN3D is indicated for adults.
Device Story
Rapid Neuro3D (RN3D) is a SaMD image processing module within the Rapid Platform; analyzes DICOM CTA datasets (aortic arch to vertex). Uses pre-trained AI/ML models to automatically segment and remove bone, tissue, and venous vessels; generates 3D rotational maximum intensity projections (MIPs), volume renders (VR), and curved planar reformations (CPR) of internal carotid and vertebral arteries. Deployed on-premises or in hybrid cloud configurations; operates on standard hardware/virtual machines. Physicians (radiologists, neurosurgeons, interventionalists) use outputs via PACS or clinical workstations to confirm lesions, document findings, and plan treatment. Device provides visualization support; not for standalone clinical decision-making. Benefits include improved visualization of neurovasculature for clinical assessment.
Clinical Evidence
Bench testing only. Segmentation quality study (n=120 cases) showed 98.6%-100% clinical accuracy agreement across output types (MIP, VR, SSE, CPR). Segmentation accuracy study (n=50 cases) demonstrated extracranial Dice Coefficient 0.89 (Hausdorff 0.44mm) and intracranial Dice Coefficient 0.97 (Hausdorff 0.44mm). CPR centerline accuracy Hausdorff Distance 0.31mm. Reproducibility showed 1% within-case variance. Data included representative age/gender and diverse CT scanner manufacturers.
Technological Characteristics
SaMD; AI/ML-based segmentation; DICOM input/output; runs on standard off-the-shelf hardware (on-premises or hybrid cloud). Complies with ISO 14971:2019, IEC 62304:2015, IEC 62366-1:2015, NEMA PS 3.1-3.20 (DICOM), and ISO 15223-1:2021.
Indications for Use
Indicated for adults undergoing conventional CT Angiography (CTA) of the head and neck (aortic arch to vertex) for visualization of neurovasculature. Contraindicated for series with excessive motion, metal implants, inadequate contrast, non-axial acquisition, non-supine positioning, or specific FOV/resolution/kVp deviations.
Regulatory Classification
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.
Special Controls
*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 shows the logo of the U.S. Food & Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
iSchemaView, Inc. Patricia Setti-Laperch Sr. Directory of Regulatory Affairs 1120 Washington Ave. Ste 200 Rm 108 Golden, Colorado 80401
January 22, 2025
Re: K243350
Trade/Device Name: Rapid Neuro3D Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: OIH Dated: December 17, 2024 Received: December 17, 2024
Dear Patricia Setti-Laperch:
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 (the 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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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.
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review. the OS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Re"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advicecomprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See
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the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Jessica Lamb
Jessica Lamb, PhD Assistant Director Imaging Software Team DHT8B: Division of Radiological Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
Submission Number (if known)
K243350
Device Name
Rapid Neuro3D
### Indications for Use (Describe)
Rapid Neuro3D (RN3D) is an image analysis software for imaging datasets acquired with conventional CT Angiography (CTA) from the aortic arch to the vertex of the head. The module removes bone, tissue, and venous vessels, providing a 3D and 2D visualization of the neurovasculature supplying arterial blood to the brain.
Outputs of the device include 3D rotational maximum intensity projections (MIPS), volume renders (VR), along with the curved planar reformation (CPR) of the isolated left and right internal carotid and vertebral arteries.
Rapid Neuro3D is designed to support the physician in confirming the presence or absence of physician-identified lesions and evaluation, documentation, and follow-up of any such lesion and treatment planning.
Its results are not intended to be used on a stand-alone basis for clinical decision-making or otherwise preclude clinical assessment.
RN3D is indicated for adults.
Precautions/Exclusions:
o Series containing excessive patient motion or metal implants may impact module output quality.
o The RN3D module will not process series that meet the following module exclusion criteria:
• Series containing inadequate contrast agent (<0.3 mL of right-hemisphere intracranial arterial
- contrast media or <0.3 mL of left-hemisphere intracranial arterial contrast media, above 120 HU)
- · Series acquired w/cone-beam CT scanners (c-arm CT)
- · Series that are non-axial
- · Series with a non-supine patient position
- · Series containing missing or improperly ordered slices (e.g., as a result of manual correction by an imaging technician)
- CTA datasets with:
- 1) in-plane X and Y FOV < 160mm or > 400mm.
- 2) Z FOV (cranio-caudal transverse anatomical coverage) < 90 mm.
- 3) in-plane pixel spacing (X & Y resolution) < 0.2 mm or > 1.0 mm.
- 4) Z slice spacing of < 0.2 mm or > 1.25 mm.
- 5) slice thickness > 1.5mm.
- 6) data acquired at x-ray tube voltage < 70kVp or > 150kVp.
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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### 510(k) Summary
### iSchemaView, Inc.'s Rapid Neuro3D
This document contains the 510(k) summary for the iSchemaView Rapid Neuro3D. The content of this summary is based on the requirements of 21 CFR Section 807.92(c).
### Applicant Name and Address:
| Name: | iSchemaView, Inc. |
|---------------------------------|--------------------------------------------------------------------------------------|
| Address: | 1120 Washington Ave<br>Suite 200<br>Golden, CO 80401 |
| Official Contact: | Patricia Setti-LaPerch<br>Phone: 650-388-9767<br>Email: settilaperch@ischemaview.com |
| Summary Preparation Date: | October 25, 2024 |
| Device Name and Classification: | |
| Trade Name: | Rapid Neuro3D |
| Common Name: | Automated Radiological Image Processing<br>Software |
| Classification: | II |
| Product Code: | QIH |
| Regulation No: | 21 C.F.R. §892.2050 |
| Classification | Radiology Devices |
### Predicate Devices:
Panel:
iSchemaView's Rapid Neuro3D is claimed to be substantially equivalent to the following legally marketed predicate device: Rapid (K233582).
#### Device Description:
Rapid Neuro 3D (RN3D) is a Software as a Medical Device (SaMD) image processing module and is part of the Rapid Platform. It allows for visualization of arterial vessels of the head and neck and identifies and segments arteries of interest in patient CTA exams.
The Rapid Platform provides common functions and services to support image processing modules such as DICOM filtering and job and interface management. The Rapid Platform can be installed on-premises within customer's infrastructure behind their firewall or in a hybrid on-
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510(k) Summary
premises/cloud configuration. The software can be installed on dedicated hardware or a virtual machine. The Rapid Platform accepts DICOM images and, upon processing, returns the processed DICOM images to the source imaging modality or PACS.
The RN3D image processing module is based on pre-trained artificial intelligence / machinelearning models and facilitates a 3D visualization of the neurovasculature supplying arterial blood to the brain. The module analyzes input CTA images in DICOM format and provides a corresponding DICOM series output that can be used by a DICOM viewer, clinical workstations. and PACS systems.
# Intended Use/Indications for Use Statement:
Rapid Neuro3D (RN3D) is an image analysis software for imaging datasets acquired with conventional CT Angiography (CTA) from the aortic arch to the vertex of the head. The module removes bone, tissue, and venous vessels, providing a 3D and 2D visualization of the neurovasculature supplying arterial blood to the brain.
Outputs of the device include 3D rotational maximum intensity projections (MIPS), volume renders (VR), along with the curved planar reformation (CPR) of the isolated left and right internal carotid and vertebral arteries.
Rapid Neuro3D is designed to support the physician in confirming the presence or absence of physician-identified lesions and evaluation, documentation, and follow-up of any such lesion and treatment planning.
Its results are not intended to be used on a stand-alone basis for clinical decision-making or otherwise preclude clinical assessment.
RN3D is indicated for adults.
## Precautions/Exclusions:
- Series containing excessive patient motion or metal implants may impact module output O quality.
- The RN3D module will not process series that meet the following module exclusion criteria: O
- . Series containing inadequate contrast agent (<0.3 mL of right-hemisphere intracranial arterial contrast media or <0.3 mL of left-hemisphere intracranial arterial contrast media, above 120 HU)
- Series acquired w/cone-beam CT scanners (c-arm CT) ●
- Series that are non-axial
- Series with a non-supine patient position ●
- Series containing missing or improperly ordered slices (e.g., as a result of manual correction by an imaging technician)
- . CTA datasets with:
- 1) in-plane X and Y FOV < 160mm or > 400mm.
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510(k) Summary
- 2) Z FOV (cranio-caudal transverse anatomical coverage) < 90 mm.
- 3) in-plane pixel spacing (X & Y resolution) < 0.2 mm or > 1.0 mm.
- 4) Z slice spacing of < 0.2 mm or > 1.25 mm.
- 5) slice thickness > 1.5mm.
- 6) data acquired at x-ray tube voltage < 70kVp or > 150kVp.
# Comparison of Technological Characteristics with the Predicate Device:
Rapid Neuro3D's predicate device is Rapid (K233582), under regulation 21 CFR §892.2050. Both are SaMD and share the same intended use as Automated Radiological Image Processing Software utilized when reviewing neurological images. Rapid Neuro3D is substantially equivalent to the previously cleared Rapid (K233582) device and contains analogous CTA software outputs (e.g. 2D/3D vessel visualization and MIPS) facilitated by the automated segmentation and removal of obstructive bones and/or vessels.
Rapid Neuro3D has the same intended use and similar indications, technological characteristics, and principles of operation as its predicate. Rapid Neuro3D raises no new issues of safety or effectiveness when compared with Rapid (K233582). Verification and validation testing confirms the software reliably processes and supports analysis of CTA medical images for visualization of the neurovasculature supplying arterial blood to the brain. Thus, Rapid Neuro3D software is substantially equivalent.
| Product Name | Rapid Neuro3D (Subject Device) | Rapid (including Rapid CTA) (K233582) |
|---------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Regulation | 21 CFR 892.2050; Medical image management and processing system | 21 CFR 892.2050; Medical image management and processing system |
| Product Code | QIH | LLZ, QIH |
| Intended Use/<br>Indications for Use<br>Statement | Rapid Neuro3D (RN3D) is an image analysis software for imaging datasets acquired with conventional CT Angiography (CTA) from the aortic arch to the vertex of the head). The module removes bone, tissue, and venous vessels, providing a 3D and 2D visualization of the neurovasculature supplying arterial blood to the brain.<br><br>Outputs of the device include 3D rotational maximum intensity projections (MIPS), volume renders (VR), along with the curved planar reformation (CPR) of the isolated left and right internal carotid and vertebral arteries.<br><br>Rapid Neuro3D is designed to support the physician in confirming the presence | Rapid is an image processing software package to be used by trained professionals, including but not limited to physicians (medical analysis and decision making) and medical technicians (administrative case processing). The software runs on a standard off-the-shelf computer or a virtual platform, such as VMware, and can be used to perform image viewing, processing, and analysis of images. Data and images are acquired through DICOM compliant imaging devices. Rapid is indicated for Adults only.<br><br>Rapid provides both viewing and analysis capabilities for functional and dynamic imaging datasets acquired with CT, CT Perfusion (CTP), CT Angiography (CTA), C-arm CT Perfusion and MRI including a Diffusion |
| Product Name | Rapid Neuro3D (Subject Device) | Rapid (including Rapid CTA) (K233582) |
| | or absence of physician-identified lesions<br>and evaluation, documentation, and<br>follow-up of any such lesion and<br>treatment planning. | Weighted MRI (DWI) Module and a Dynamic<br>Analysis Module (dynamic contrast-enhanced<br>imaging data for MRI, CT, and C-arm CT). |
| | Its results are not intended to be used on<br>a stand-alone basis for clinical decision-<br>making or otherwise preclude clinical<br>assessment. | Rapid C-arm CT Perfusion can be used to<br>qualitatively assess cerebral hemodynamics in<br>the angiography suite.<br>The CT analysis includes NCCT maps showing<br>areas of hypodense and hyperdense tissue. |
| | RN3D is indicated for adults. | |
| | Precautions/Exclusions: | The DWI Module is used to visualize local<br>water |
| | Series containing excessive patient<br>motion or metal implants may impact<br>module output quality. | diffusion properties from the analysis of<br>diffusion -weighted MRI data. |
| | The RN3D module will not process series<br>that meet the following module exclusion<br>criteria:<br>• Series containing inadequate contrast<br>agent (<0.3 mL of right-hemisphere<br>intracranial arterial contrast media or | The Dynamic Analysis Module is used for<br>visualization and analysis of dynamic imaging<br>data, showing properties of changes in<br>contrast over time. This functionality includes<br>calculation of parameters related to tissue<br>flow (perfusion) and tissue blood volume. |
| | <0.3 mL of left-hemisphere<br>intracranial arterial contrast media,<br>above 120 HU)<br>• Series acquired w/cone-beam CT<br>scanners (c-arm CT)<br>• Series that are non-axial<br>• Series with a non-supine patient | Rapid CT Perfusion and Rapid MR Perfusion<br>can be used by physicians to aid in the<br>selection of acute stroke patients (with<br>known occlusion of the intracranial internal<br>carotid artery or proximal middle cerebral<br>artery). |
| | position<br>• Series containing missing or<br>improperly ordered slices (e.g., as a<br>result of manual correction by an<br>imaging technician)<br>• CTA datasets with:<br>1) in-plane X and Y FOV < 160mm or<br>> 400mm.<br>2) Z FOV (cranio-caudal transverse<br>anatomical coverage) < 90 mm.<br>3) in-plane pixel spacing (X & Y<br>resolution) < 0.2 mm or > 1.0 mm.<br>4) Z slice spacing of < 0.2 mm or > | Instructions for the use of contrast agents for<br>this indication can be found in Appendix A of<br>the User's Manual. Additional information for<br>safe and effective drug use is available in the<br>product-specific iodinated CT and gadolinium-<br>based MR contrast drug labeling.<br>In addition to the Rapid imaging criteria,<br>patients must meet the clinical requirements<br>for thrombectomy, as assessed by the<br>physician, and have none of the following<br>contraindications or exclusions: |
| | 1.25 mm.<br>5) slice thickness > 1.5mm.<br>6) data acquired at x-ray tube voltage | • Bolus Quality: absent or inadequate bolus.<br>• Patient Motion: excessive motion leading to<br>artifacts that make the scan technically<br>inadequate. |
| | < 70kVp or > 150kVp. | |
| Product Name | Rapid Neuro3D (Subject Device) | Rapid (including Rapid CTA) (K233582) |
| | | • Presence of hemorrhage.<br>• C-Arm CTP is not used in the Rapid<br>Thrombectomy<br>indication for patient selection criteria, other<br>modalities should be consulted. |
| | | <b>Caution</b><br>CBV and CBT are not absolute and CBT, CBV,<br>MTT and Tmax are supported for qualitative<br>interpretation of the perfusion maps only. |
| Intended<br>Users | Radiologists, neurovascular and<br>neurosurgical specialists, such as<br>vascular neurosurgeons, neuro-<br>interventional specialists, ED physicians,<br>or users with similar training. | Medical imaging professionals who analyze<br>tissue using CT or MRI images |
| | Technological Characteristics | |
| Functionality | Software package (SaMD) which<br>interfaces to a PACS/Viewer or allows<br>viewing within the application. | Software package (SaMD) which interfaces to<br>a PACS/Viewer or allows viewing within the<br>application. |
| Computer<br>Platform | Standard off-the-shelf Hardware: On-<br>Premises or Cloud Hybrid | Standard off-the-shelf Hardware: On-<br>Premises or Cloud<br>Hybrid |
| Technical<br>Implementation | AI/ML | Mixed - Traditional Coding and AI/ML |
| Input DICOM<br>Imaging<br>Modality | CTA | CT, CTP, CTA, C-arm CT, MRI, NCCT |
| Imaging Type | Neurological (aortic arch to the vertex<br>of the head) | Neurological |
| Software<br>Outputs | • 2D/3D vessel visualization (Thins, MIPS,<br>VR, CPR)<br>• Automated segmentation and removal<br>of obstructive bones and/or vessels | • Digital image processing, visualization, and<br>analysis tools (various detailed in IFU above,<br>including tissue flow (perfusion), tissue blood<br>volume, etc.)<br>Specifically for Rapid CTA:<br>• 2D/3D vessel visualization (MIPS, colored<br>overlay indicating reduction of vessel density)<br>• Automated segmentation and removal of<br>obstructive bones and/or vessels |
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# 510(k) Summary
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# 510(k) Summary
{10}------------------------------------------------
510(k) Summary
# Performance Standards:
Rapid has been developed in conformance with the following standards, as applicable:
| ISO 14971:2019 | Application of Risk Management to Medical Devices |
|------------------------------|------------------------------------------------------------------------|
| IEC 62304:2015 | Medical Device software – Software lifecycle processes |
| IEC 62366-1:2015<br>+A1:2020 | Application of Usability Engineering to Medical Devices |
| NEMA PS 3.1 - 3.20 | Digital Imaging and Communications in Medicine (DICOM) |
| ISO 15223-1:2021 | Symbols to be Used with Information to be Supplied by the Manufacturer |
Rapid has been designed to meet the cybersecurity requirements using design Vulnerability Assessments, SBOM's, and PEN Testing.
# Performance Data:
Rapid complies with DICOM (Digital Imaging and Communications in Medicine) - Developed by the American College of Radiology and the National Electrical Manufacturers Association. NEMA PS 3.1 - 3.20.
iSchemaView conducted performance validation testing and software verification and validation testing of the Rapid Neuro3D device. Software performance testing demonstrated that the device met all design requirements and specifications. Final device validation included standalone performance validation (segmentation quality and segmentation accuracy).
All major CT scanner manufacturers (incl. Siemens, GE, Toshiba/Canon, and Philips) were represented in the data. Patient demographics included representative age/gender distribution and incorporated data to assess the influence of potential confounders (abnormalities/anomalies/ anatomical variants) on performance. The test dataset was independent from the data used during model training per internal data quality control processes.
The segmentation quality study used 120 CTA cases (104 US, 16 OUS) from 115 patients (65 female; 50 male; aged from 27 to 90+) to compare the Rapid Neuro3D segmentation outputs against source DICOM images. All four output image types were evaluated: 3D rotational maximum intensity projection (MIP) images, 3D volume rendering (VR) images, a source seriesequivalent (SSE) with all tissue/bone/vein removed, and 2D curved planar reformation (CPR) images. MIP, VR, and SSE images were assessed for a total of 1,920 segments; CPR images included 480 segments.
The primary endpoint, clinical accuracy, as determined by the consensus of up to three clinical experts against the source DICOM images, passed for all RN3D outputs with 99.8% agreement for MIP images, 98.6% agreement for VR images, 100.0% agreement for SSE images, and 100.0% agreement for CPR.
The secondary endpoint, labeling, passed with 100% of the anatomical labels applied found to be accurate for the vessels visualized.
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## 510(k) Summary
The segmentation accuracy study used 50 CTA cases (43 US, 7 OUS) from 48 patients (24 female; 24 male; aged from 27 to 90+) to quantitatively assess the Rapid Neuro3D segmentation outputs against ground truth.
The assessment for 3D visualizations was divided by anatomical region: extracranial and intracranial. For the extracranial region, the primary endpoint, segmentation accuracy, was met with an average Dice Coefficient of 0.89 and an average Hausdorff Distance of 0.44 mm between the module and ground truth. For the intracranial region, the primary endpoint. substantial equivalence, was met with an average Dice Coefficient of 0.97 and an average Hausdorff Distance of 0.44mm between the module and the predicate device.
The secondary endpoint, reproducibility (of ground truths), showed a within case variance of 1%, demonstrating strong reproducibility of ground truth segmentations.
For the CPR visualizations, the primary endpoint, centerline accuracy, was met with an average Hausdorff Distance of 0.31 mm between the module and ground truth.
### Prescriptive Statement:
Caution: Federal law restricts this device to sale by or on the order of a physician.
### Safety & Effectiveness:
Rapid Neuro3D has been designed, verified, and validated in compliance with 21 CFR, Part 820.30 requirements. The device has been designed to meet the requirements associated with EN ISO 14971:2019 (risk management) and the software development process conforms to IEC 62304:2015. Software performance, validation and verification testing demonstrated that the Rapid Neuro3D system met all design requirements.
## Conclusion:
Based on the shared technological characteristics and intended use, iSchemaView's Rapid Neuro3D is substantially equivalent to the legally marketed predicate device, Rapid (K233582). The results of performance validation and software verification/validation testing support the safety and performance of Rapid Neuro3D.
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Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.