(84 days)
Not Found
No
The document describes a data archive, management, and analysis system for radiation oncology data. It focuses on archiving, displaying, and analyzing existing data, and allows for manual editing of structures. There is no mention of automated analysis, prediction, or learning capabilities that would indicate the use of AI/ML. The "Mentions AI, DNN, or ML" section explicitly states "Not Found".
No.
The device is described as an accessory system for data archive, review, and analysis in radiation oncology and explicitly states it is "not to be used for diagnosis, treatment, or as the sole form of plan approval."
No.
The "Intended Use / Indications for Use" section explicitly states, "ProKnow DS is to be used as an accessory system to perform data archive, review, and analysis, and is not to be used for diagnosis, treatment, or as the sole form of plan approval."
Yes
The device description explicitly states it is a "Radiation Therapy Picture/Patient Archiving and Communication System (RT-PACS)" and focuses on software features for archiving, inspecting, analyzing, and interacting with patient data. There is no mention of accompanying hardware components.
Based on the provided information, ProKnow DS is not an In Vitro Diagnostic (IVD) device.
Here's why:
- Intended Use: The intended use explicitly states that ProKnow DS is "not to be used for diagnosis, treatment, or as the sole form of plan approval." IVD devices are specifically intended for use in the diagnosis of disease or other conditions, including a determination of the state of health, in order to cure, mitigate, treat, or prevent disease or its sequelae.
- Device Description: The description focuses on archiving, inspecting, analyzing, and interacting with radiation therapy patient data, primarily for retrospective and prospective studies. This aligns with a data management and analysis tool, not a diagnostic test performed on biological samples.
- Lack of Biological Sample Analysis: IVD devices typically involve the analysis of biological samples (blood, urine, tissue, etc.). There is no mention of ProKnow DS interacting with or analyzing biological samples.
- Focus on Radiation Oncology Data: The system is specifically designed for data and images related to radiation oncology patients, which are typically generated by imaging devices and treatment planning systems, not through in vitro diagnostic procedures.
While ProKnow DS processes and analyzes patient data, including images, its purpose is for data management, review, and analysis within the context of radiation oncology, not for performing diagnostic tests on biological specimens.
N/A
Intended Use / Indications for Use
ProKnow DS is a patient data archive, information management, and analytics software system with a focus on the data and images specific to radiation oncology patients. Users may upload digital patient data created by other devices to ProKnow DS to securely archive, display, and analyze the data. Users can view and navigate patient images, drawn anatomy, calculated dose, and plan details derived from the source files. Users can create or edit anatomy structures to be used either prospectively (e.g., as an input to treatment planning) or retrospectively (e.g., for data analysis, research, and outcomes studies). Users can extract metrics for any single patient, or across a collection of patients, then view results as tables or graphically. ProKnow DS is to be used as an accessory system to perform data archive, review, and analysis, and is not to be used for diagnosis, treatment, or as the sole form of plan approval.
Users of ProKnow DS should be trained medical professionals including, but not limited to, radiologists, oncologists, physicians, medical technologists, dosimetrists, and physicians. Users should be familiar with the different sources of input data (such as images, structure sets, treatment plans, and calculated dose) as well as how to understand and interpret derived metrics (e.g., dose-volume histograms).
Product codes
LLZ
Device Description
ProKnow DS is a Radiation Therapy Picture/Patient Archiving and Communication System (RT-PACS). It allows users to archive, inspect, analyze, and interact with radiation therapy patient data for both retrospective and prospective studies. Its features are centered on two primary areas of interaction: (1) single patient datasets and (2) collections of patient datasets, i.e., patient cohorts. Users are able to import patient data from existing imaging, contouring, and treatment planning systems (via DICOM formats). Once imported, patient data is archived for long-term storage and is also available for inspection and analysis (examples of supported inspection and analysis tasks include: visualizing images, structures, and dose distributions; inspecting plan information; inspecting dose volume histograms; and extracting metrics). ProKnow DS also allows users to edit anatomical contour data associated with a patient for use in retrospective studies or to be exported to commercially available radiation treatment planning systems. Once a set of patients have been established in ProKnow DS, users may create collections of related patients allowing them to analyze and correlate dosimetric values of interest and clinical endpoints across large treatment populations.
Mentions image processing
Yes
Mentions AI, DNN, or ML
Not Found
Input Imaging Modality
images (e.g., CT and MR)
Anatomical Site
Not Found
Indicated Patient Age Range
Not Found
Intended User / Care Setting
Users of ProKnow DS should be trained medical professionals including, but not limited to, radiologists, oncologists, physicians, medical technologists, dosimetrists, and physicians.
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
Not Found
Summary of Performance Studies
Verification testing was accomplished using a combination of unit and end-to-end tests; both automated and manual. Verification testing utilized published and analytical gold standard datasets wherever possible. Validation testing was performed by a clinical expert in accordance with the intended clinical use in a simulated clinical environment, as well as by hospital-based and 3rd party vendor validation partners. Validation testing utilized a variety of data types and combinations that were judged to be representative of the types of data the software will encounter in clinical use. The verification and validation test results showed that ProKnow DS met all clinical requirements in terms of usability and accuracy of any/all data stored and displayed. In addition, the test results show that the device is at least as safe and effective as the legally marketed predicate devices.
Key Metrics
Not Found
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).
0
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and 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.
January 2, 2019
ProKnow LLC Mr. Salvadore Gerace Chief Technology Officer 121 Central Park Place SANFORD, FL 32771 US
Re: K182855
Trade/Device Name: ProKnow DS Regulation Number: 21 CFR 892.2050 Regulation Name: Picture Archiving And Communications System Regulatory Class: Class II Product Code: LLZ Dated: October 8, 2018 Received: October 10, 2018
Dear Mr. Gerace:
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. 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 located 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.
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
1
801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/CombinationProducts/GuidanceRegulatoryInformation/ucm597488.htm); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; 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 comprehensive regulatory information about mediation-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.'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) K182855
Device Name ProKnow DS
Indications for Use (Describe)
ProKnow DS is a patient data archive, information management, and analytics software system with a focus on the data and images specific to radiation oncology patients. Users may upload digital patient data created by other devices to ProKnow DS to securely archive, display, and analyze the data. Users can view and navigate patient images, drawn anatomy, calculated dose, and plan details derived from the source files. Users can create or edit anatomy structures to be used either prospectively (e.g., as an input to treatment planning) or retrospectively (e.g., for data analysis, research, and outcomes studies). Users can extract metrics for any single patient, or across a collection of patients, then view results as tables or graphically. ProKnow DS is to be used as an accessory system to perform data archive, review, and is not to be used for diagnosis, treatment, or as the sole form of plan approval.
Users of ProKnow DS should be trained medical professionals including, but not limited to, radiologists, oncologists, physicians, medical technologists, dosimetrists, and physicians. Users should be familiar with the different sources of input data (such as images, structure sets, treatment plans, and calculated dose) as well as how to understand and interpret derived metrics (e.g., dose-volume histograms).
| 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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PREMARKET NOTIFICATION [510(k)] SUMMARY
(Provided in conformance with 21 CFR 807.92)
Submitter
ProKnow, LLC 121 Central Park Place Sanford, FL 32771
| Phone: | 844-405-2170 |
|---|---|
| Fax: | 407-322-7546 |
| Contact Person: | Salvadore Gerace |
| Chief Technology Officer | |
| Date Summary Prepared: | October 5, 2018 |
Device Name and Classification
| Trade Name: | ProKnow DS |
|---|---|
| Common/Usual Name: | Picture Archiving and Communications System |
| (Medical Imaging Software) | |
| Classification Name: | System, Imaging Processing, Radiological |
| Regulation Number: | 21 CFR 892.2050 |
| Product Code: | LLZ |
| Regulatory Class: | Class II |
Predicate Devices
| K173636 | Velocity | Varian Medical Systems, Inc. |
|---|---|---|
| K101707 | fullAccess | Fulcrum Medical, Inc. |
| K071964 | MIM 4.1 | MIM Software, Inc. |
Device Description
ProKnow DS is a Radiation Therapy Picture/Patient Archiving and Communication System (RT-PACS). It allows users to archive, inspect, analyze, and interact with radiation therapy patient data for both retrospective and prospective studies. Its features are centered on two primary areas of interaction: (1) single patient datasets and (2) collections of patient datasets, i.e., patient cohorts. Users are able to import patient data from existing imaging, contouring, and treatment planning systems (via DICOM
4
formats). Once imported, patient data is archived for long-term storage and is also available for inspection and analysis (examples of supported inspection and analysis tasks include: visualizing images, structures, and dose distributions; inspecting plan information; inspecting dose volume histograms; and extracting metrics). ProKnow DS also allows users to edit anatomical contour data associated with a patient for use in retrospective studies or to be exported to commercially available radiation treatment planning systems. Once a set of patients have been established in ProKnow DS, users may create collections of related patients allowing them to analyze and correlate dosimetric values of interest and clinical endpoints across large treatment populations.
Intended Use
ProKnow DS provides a scalable and secure data archive for binary digital imaging and communications in medicine (DICOM) data with a focus on radiotherapy (DICOM RT). The input data objects are created by other medical devices and uploaded to ProKnow DS for storage and processing. These input medical devices may include imaging systems, manual and auto-contouring systems, treatment planning systems, and other medical software/devices that output applicable data.
ProKnow DS has an interactive viewer that can be used to display and analyze patient data such as images (e.g., CT and MR), contoured anatomical structures, treatment plan information, calculated radiation dose grids, and dose volume histograms (DVH).
ProKnow DS provides anatomy contouring tools for the purpose of (1) creating new anatomy structure sets (i.e., a set of user-defined anatomy contours) and (2) editing structure sets created by another system and uploaded to ProKnow DS. The users' new or edited structure sets can be downloaded in the industry standard DICOM RT Structure Set format to serve as an input to other software systems.
ProKnow DS allows the user to create lists of user-defined metrics, and optionally per-metric performance objectives, which can be extracted and viewed per patient dataset. Metrics can be of two types: (1) derived/computed, which are metrics extracted from the input DICOM objects or computed DVH data, and (2) custom, which are user-defined text or numeric fields and their user-supplied values. Tabulated results are displayed and can be used to facilitate and standardize tasks such as plan evaluation and peer review.
ProKnow DS allows the user to define and track "collections" of patient datasets (i.e., cohorts) from which metrics from all patients in the collection can be extracted and analyzed as a population using interactive graphical tools such as histograms and scatterplots.
Indications for Use
ProKnow DS is a patient data archive, information management, and analytics software system with a focus on the data and images specific to radiation oncology patients. Users may upload digital patient data created by other devices to ProKnow DS to securely archive, display, and analyze the data. Users can view and navigate patient images, drawn anatomy, calculated dose, and plan details derived from
5
the source files. Users can create or edit anatomy structures to be used either prospectively (e.g., as an input to treatment planning) or retrospectively (e.g., for data analysis, research, and outcomes studies). Users can extract metrics for any single patient, or across a collection of patients, then view results as tables or graphically. ProKnow DS is to be used as an accessory system to perform data archive, review, and analysis, and is not to be used for diagnosis, treatment, or as the sole form of plan approval.
Users of ProKnow DS should be trained medical professionals including, but not limited to, radiologists, oncologists, physicians, medical technologists, dosimetrists, and physicians. Users should be familiar with the different sources of input data (such as images, structure sets, treatment plans, and calculated dose) as well as how to understand and interpret derived metrics (e.g., dosevolume histograms).
Summary of Technological Characteristics
ProKnow DS is substantially equivalent to the identified predicate devices in terms of characteristics, materials, and features; it also has similar technological features, intended use, and indications for use and does not pose any new issues for safety and effectiveness. It is worth noting that ProKnow DS is a cloud-based system, and therefore must address additional Cybersecurity requirements and risks as part of the design process (as compared to desktop-based devices). These have been addressed and are documented in Section 16 and have been demonstrated through verification and validation testing to not pose any new issues for safety and effectiveness.
A detailed comparison to the identified predicate devices can be found in Section 12.
Summary of Non-Clinical Testing
ProKnow has verified and validated that the ProKnow DS software meets its functional specifications and performance requirements. Verification testing was accomplished using a combination of unit and end-to-end tests; both automated and manual. Verification testing utilized published and analytical gold standard datasets wherever possible. Validation testing was performed by a clinical expert in accordance with the intended clinical use in a simulated clinical environment, as well as by hospital-based and 3rd party vendor validation partners. Validation testing utilized a variety of data types and combinations that were judged to be representative of the types of data the software will encounter in clinical use. The verification and validation test results showed that ProKnow DS met all clinical requirements in terms of usability and accuracy of any/all data stored and displayed. In addition, the test results show that the device is at least as safe and effective as the legally marketed predicate devices.