accessdata K233108 Vin Dr Mammo Instructions
- September 22, 2024
- accessdata
Table of Contents
- accessdata K233108 Vin Dr Mammo
- Product Information
- Product Usage Instructions
- Indications for Use
- Submission Sponsor
- Predicate Device
- Device Description
- Intended Use/Indication for Use
- Technological Characteristics Compared to Predicate Device
- Performance Data
- Clinical Performance Data
- Conclusion
- References
- Read User Manual Online (PDF format)
- Download This Manual (PDF format)
accessdata K233108 Vin Dr Mammo
Product Information
- Trade/Device Name: VinDr-Mammo
- Regulation Number: 21 CFR 892.2080
- Regulation Name: Radiological Computer Aided Triage And Notification Software
- Regulatory Class: Class II
- Product Code: QFM
Product Usage Instructions
Indications for Use
VinDr-Mammo is intended for use by MQSA qualified interpreting
physicians to categorize exams acquired using validated FFDM systems. It does
not provide diagnostic information beyond triage and prioritization.
Compatibility
The device is limited to use with complete 2D FFDM mammography exams only.
Usage Restrictions
Do not use VinDr-Mammo to remove images from the interpreting physician’s
worklist or as a substitute for full patient evaluation or diagnosis
confirmation.
FAQ
What is the intended use of VinDr-Mammo?
VinDr-Mammo is intended for categorization of mammography exams and does not
provide diagnostic information beyond triage and prioritization.
VinBigData Joint Stock Company
℅ Nguyet (Jun) Phan
Regulatory Affairs Specialist
Symphony Office Building, Chu Huy Man Street, Vinhomes Riverside Ecological
Urban Area, Phuc Loi Ward, Long Bien District, Ha Noi
VIETNAM
Re: K233108
- Trade/Device Name: VinDr-Mammo
- Regulation Number: 21 CFR 892.2080
- Regulation Name: Radiological Computer Aided Triage And Notification Software Regulatory Class: Class II
- Product Code: QFM
- Dated: April 10, 2024
- Received: April 23, 2024
Dear Nguyet (Jun) Phan:
-
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.
-
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 QS 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 (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-reporting-combination-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.
-
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-devices/medical-device-safety/medical-device- reporting-mdr-how-report-medical-device-problems -
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice
https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory- assistance) and CDRH Learn https://www.fda.gov/training-and-continuing- education/cdrh-lear ..) 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 https://www.fda.gov/medical-devices/device-advice- comprehensive-regulatory-assistance/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, -
Yanna S. Kang -S
-
Yanna Kang, Ph.D.
-
Assistant Director
-
Mammography and Ultrasound Team DHT8C: Division of Radiological Imaging and Radiation Therapy Devices
-
OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
DEPARTMENT OF HEAL TH AND HUMAN SERVICES Food and Drug Administration
Indications for Use
Form Approved: 0MB No. 0910-0120 Expiration Date: 06/30/2023
See PRA Statement below.
Submission Number (if known)
I K233108
Device Name
VinDr-Mammo
Indications for Use (Describe)
- The VinDr-Mammo is a passive notification for prioritization-only, a parallel-workflow software tool used by MQSA qualified interpreting physicians to prioritize patients with suspicious findings in the medical care environment. VinDr-Mammo utilizes an artificial intelligence algorithm to analyze 2D FFDM screening mammograms and flags those that are suggestive of the presence of at least one suspicious finding at the exam-level. Vin Dr-Mammo produces an exam-level output to a PACS/ Workstation for flagging the suspicious case and allows worklist prioritization.
- MQSA qualified interpreting physicians are responsible for reviewing each exam on a display approved for use in mammography, according to the current standard of care. VinDr-Mammo device is limited to the categorization of exams, does not provide any diagnostic information beyond triage and prioritization, does not remove images from the interpreting physician’s worklist, and should not be used in lieu of full patient evaluation, or relied upon to make or confirm diagnosis.
- The VinDr-Mammo device is intended for use with complete 2D FFDM mammography exams acquired using validated FFDM systems only.
Type of Use (Select one or both, as applicable)
IZ] Prescription Use (Part 21 CFR 801 Subpart D)
D Over-The-Counter Use (21 CFR 801 Subpart C)
CONTINUE ON A SEPARATE PAGE IF NEEDED.
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1995.
DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.
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collection of information. Send comments regarding this burden estimate or any
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Submission Sponsor
- VinBigData Joint Stock Company
- Symphony Office Building, Chu Huy Man Street, Vinhomes Riverside Ecological Urban Area, Phuc Loi Ward, Long Bien District, Ha Noi, Vietnam
- Telephone number: (+84) 968 496 314
- Contact: Phan (Jun) Minh Nguyệt
- Title: Regulatory Affairs Specialist
- Phone number: (+84) 326 066 2088
- Date Prepared: 19 April 2024
- Device Identification:
| Trade/Proprietary Name: | VinDr-Mammo |
|---|---|
| Common/Usual Name: | Radiological computer aided triage and notification |
software
Classification Name:| Radiological computer aided triage and notification
software
Regulation Number:| 21 CFR 892.2080
Product Code:| QFM, Radiological Computer-Assisted Prioritization Software For
Lesions
Device Class:| Class II
Classification Panel:| Radiology
Predicate Device
The VinDr-Mammo device is substantially equivalent to the following device:
| Proprietary Name | CogNet QmTRIAGE |
|---|---|
| Premarket Notification | K220080 |
| Classification Name | Radiological Computer-Assisted Prioritization Software |
| Regulation Number | 21 CFR 892.2080 |
| Product Code | QFM |
| Regulatory Class | II |
Device Description
The VinDr-Mammo is an innovative medical device designed to assist in the
analysis and triage of 2D full-field digital mammogram (FFDM) screening
mammograms. Operating as non-invasive computer-assisted software, known as
SaMD, it employs a machine learning algorithm to identify potential suspicious
findings within the images. Once identified, the system promptly notifies a
PACS/workstation for further examination. This passive-notification feature
enables radiologists to prioritize their workload efficiently and view studies
in order of importance using standard PACS or workstation viewing software. It
is important to note that the VinDr-Mammo software is intended solely to aid
in the prioritization and triage of radiological medical images. It serves as
a valuable tool for MQSA interpreting physicians who specialize in mammogram
readings, complementing the standard of care. It should be emphasized that the
device does not replace the need for a comprehensive evaluation as per
established medical practices. During the algorithm’s training, independent
datasets from various global sites were utilized, ensuring a robust and
diverse training experience.
The VinDr-Mammo code can be viewed by radiologists on a Picture Archiving and
Communication System (PACS), Electronic Patient Record (EPR), and/or Radiology
Information System (RIS) worklist and can be used to reorder the worklist: the mammographic studies with code 1 should be prioritized over those with code 0 and, thus, should be moved to the top of the worklist. As a software-only device, VinDr-Mammo can be hosted on a compatible host server connected to the necessary clinical IT systems such that DICOM studies can be received and the resulting outputs returned where they can be incorporated into the radiology worklist.
The following modules compose the VinDr-Mammo software
- Data input and validation: Following retrieval of a study, the validation feature assessed the input data (i.e. age, modality, view) to ensure compatibility for processing by the algorithm.
- VinDr-Mammo algorithm: Once a study has been validated, the algorithm analyzes the 2D FFDM screening mammogram for detection of suspected findings.
- API Cognitive service: The study analysis and the results of a successful study analysis are provided through an API service, whose outputs will then be sent to the appropriate clinical IT system for viewing on a radiology worklist.
- Error codes feature: In the case of a study failure during data validation or the analysis by the algorithm, an error is provided to the system.
Intended Use/Indication for Use
The VinDr-Mammo is a passive notification for prioritization-only, a parallel-
workflow software tool used by MQSA qualified interpreting physicians to
prioritize patients with suspicious findings in the medical care environment.
VinDr-Mammo utilizes an artificial intelligence algorithm to analyze 2D FFDM
screening mammograms and flags those that are suggestive of the presence of at
least one suspicious finding at the exam- level. VinDr-Mammo produces an exam-
level output to a PACS/Workstation for flagging the suspicious case and allows
worklist prioritization.
MQSA qualified interpreting physicians are responsible for reviewing each exam
on a display approved for use in mammography, according to the current
standard of care. VinDr-Mammo device is limited to the categorization of
exams, does not provide any diagnostic information beyond triage and
prioritization, does not remove images from the interpreting physician’s
worklist, and should not be used in lieu of full patient evaluation, or relied
upon to make or confirm diagnosis.
The VinDr-Mammo device is intended for use with complete 2D FFDM mammography
exams acquired using validated FFDM systems only.
Technological Characteristics Compared to Predicate Device
The technological characteristics, e.g., overall design, mechanism of action,
mode of operation, performance characteristics, etc., and the intended use of
the VinDr-Mammo device are substantially equivalent to the predicate device
cited above.
A comparison of the technological characteristics with the predicate is
summarized below.
Technological Characteristics
|
Proposed Device VinDr-Mammo
| Predicate Device CogNet QmTRIAGE (K220080)|
Summary
---|---|---|---
| The VinDr-Mammo is| The MedCognetics|
| a passive notification| (CogNet)|
| for prioritization-only,| QmTRIAGETM|
| parallel-workflow| software is a passive|
| software tool used by| notification for|
Indication for| MQSA qualified| prioritization-only,|
Use/Intended| interpreting physicians| parallel-workflow| Same
Use| to prioritize patients| software tool used by|
| with suspicious| MQSA qualified|
| findings in the medical| interpreting physicians|
| care environment.| to prioritize patients|
| VinDr-Mammo utilizes| with suspicious|
| an artificial intelligence| findings in the medical|
| algorithm to analyze| care environment.|
---|---|---|---
2D FFDM screening| QmTRIAGETM
mammograms and| utilizes an artificial
flags those that are| intelligence algorithm
suggestive of the| to analyze 2D FFDM
presence of at least one| screening
suspicious finding at| mammograms and
the exam-level. VinDr-| flags those that are
Mammo produces an| suggestive of the
exam-level output to a| presence of at least one
PACS/Workstation for| suspicious finding at
flagging the suspicious| the exam level.
case and allows| QmTRIAGETM
worklist prioritization.| produces an exam level
MQSA qualified| output to a
interpreting physicians| PACS/Workstation for
are responsible for| flagging the suspicious
reviewing each exam| study and allows for
on a display approved| worklist prioritization.
for use in| MQSA qualified
mammography,| interpreting physicians
according to the current| are responsible for
standard of care.| reviewing each exam
VinDr-Mammo device| on a display approved
is limited to the| for use in
categorization of| mammography,
exams, does not| according to the current
provide any diagnostic| standard of care. The
| information beyond triage and prioritization, does not remove images from
the interpreting physician’s worklist, and should not be used in lieu of full
patient evaluation, or relied upon to make or confirm diagnosis.
The VinDr-Mammo device is intended for use with complete 2D FFDM mammography exams acquired using validated FFDM systems only.
| QmTRIAGE device is limited to the categorization of exams, does not provide any diagnostic information beyond triage and prioritization, does not remove images from the interpreting physician’s worklist, and should not be used in lieu of full patient evaluation, or relied upon to make or confirm diagnosis.
The QmTRIAGE
device is intended for use with complete 2D FFDM mammography exams acquired using validated FFDM systems only.
|
---|---|---|---
Notification- only, parallel workflow tool| Yes| Yes| Same
User| Interpreting physician| Interpreting physician| Same
Alert to finding
| Yes; passive notification flagged for review| Yes; passive notification flagged for review|
Same
---|---|---|---
Independent of SoC workflow| Yes; No cases are removed from
worklist| Yes; No cases are removed from worklist|
Same
Modality
| FFDM screening mammograms| FFDM screening mammograms|
Same
FFDM
manufacturers have been validated
| GE, Siemens, Fujifilm| Hologic| Same
Body part| Breast| Breast| Same
AI algorithm| Yes| Yes| Same
Limited to analysis of imaging data| Yes| Yes| Same
inclusion Criteria|
- Standard 2D FFDM screening mammograms
- Biopsy proven cancer studies (soft tissues and microcalcifications)
- Biopsy-proven benign studies
|
- Standard 2D FFDM screening mammograms
- Biopsy proven cancer studies (soft tissues and microcalcifications)
- BIRADS 1 and 2normal/benign cases
| Equivalent
|
- BIRADS 1 and 2normal cases with 2‐ year follow‐up of anegative diagnosis
- Bilateral Studies with 4 standard views (LCC, LMLO, RCC, RMLO)
| with 2‐year follow‐up of a negative diagnosis
- Female patients 22 and older
- Bilateral Studies with 4 standard views (LCC, LMLO, RCC, RMLO)
|
---|---|---|---
Exclusion Criteria|
- Studies that do not include all 4 views
- Digital Breast tomosynthesis studies
3D studies Studies that do not comply with the inclusion criteria
|
- Digital breast tomosynthesis images
- 2D synthetic views from tomosynthesis
| Similar, different criteria and scope are intended to limit to specific
mammography methods. This does not raise any questions regarding safety or
efficacy and use of mammography images
Aids prompt identification of cases with indicated findings| Yes| Yes|
Same
Multiple operating points|
No Applicable
|
Not Applicable
|
Same
---|---|---|---
| Presentation of| The device operates in|
| notification and| parallel with the|
| preview of the study| standard of care, which|
| for initial assessment| remains the default|
| not meant for| option for all cases.|
Preview Images| diagnostic purposes.| Encapsulated PDF| Equivalent
| The device operates in| stored|
| parallel with the| with original DICOM|
| standard of care, which| study and may be|
| remains the default| downloaded and|
| option for all cases.| viewed as a PDF.|
Where results are received|
PACS / Workstation
|
PACS / Workstation
|
same
Performance Data
-
Safety and performance of VinDr-Mammo has been evaluated and verified in accordance with software specifications and applicable performance standards through Software Development and Validation & Verification Process to ensure performance according to specifications, User Requirements and Federal Regulations and Guidance documents, “Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices”.
-
The performance of the VinDr-Mammo device has been validated in two separate pivotal studies. The first study employed 2D digital mammograms (FFDM) provided by the Radiological Society of North America (RSNA) via their RSNA Screening
Mammography Breast Cancer Detection AI Challenge. The second was a performance study for triage of 2D FFDM screening mammogram cases from two Vietnamese hospitals. -
The RSNA dataset was used to demonstrate the generalizability of the device to the demographics of the US population. The data set consisted of 1000 2D FFDM
mammogram exams including 252 cases positive for cancer with histologically proven and 748 cases negative for breast cancer (BI-RADS 1, BI-RADS 2 and biopsy-proven benign) with a two-year follow-up of a negative diagnosis. A table of results is provided below:
| Metrics | Mean | Lower 95% CI bound | Upper 95% CI bound |
|---|---|---|---|
| Sensitivity | 0.889 | 0.849 | 0.926 |
| Specificity | 0.906 | 0.885 | 0.927 |
| AUC | 0.958 | 0.945 | 0.970 |
A summary of the DDSM dataset characteristics are provided in the table below:
| Characteristics | Quantity/Type |
|---|---|
| Characteristics | Quantity/Type |
| Number of Studies | 1000 |
| Number of Images | 5126 |
| Number of Patients | 1000 |
| Density A | 100 |
| Density B | 400 |
| Density C | 400 |
| Density D | 100 |
| Age (<40) | 14 |
| Age (40-49) | 266 |
| Age (50-59) | 266 |
| Characteristics | Quantity/Type |
| --- | --- |
| Age (60-69) | 251 |
| Age (70-79) | 155 |
| Age (≥80) | 46 |
| Ethnicity | Representative of the US Population |
| Scanner Type | Unknown |
Due to lack of scanner information from the RSNA dataset, a secondary dataset
of 2D FFDM from a frontline Vietnamese hospital (Hanoi Medical University
Hospital) was used to demonstrate the generalizability to different screening
modalities. The data included a retrospective cohort of 1864 anonymized 2D
FFDM mammograms, including 466 cases positive with biopsy-confirmed cancers
and 1398 cases negative for breast cancer (BIRADS1, BIRADS2 and biopsy-proven
benign) with a two-year follow-up of a negative diagnosis.
To ensure the data addressed confounding factors present in the population of
women undergoing breast cancer screening, the test set was carefully
constructed. Several factors, such as lesion type, breast density, age, and
histology type, were considered. The accuracy of stand-alone detection and
triage was measured on this cohort against the ground truth. A table of
results is provided below:
| Metrics | Mean | Lower 95% CI bound | Upper 95% CI bound |
|---|---|---|---|
| Sensitivity | 0.906 | 0.879 | 0.931 |
| Specificity | 0.911 | 0.896 | 0.926 |
| AUC | 0.965 | 0.957 | 0.971 |
A summary of the Vietnamese data set characteristics are provided in the table below:
| Characteristics | Quantity/Type |
|---|---|
| Number of Studies | 1864 |
| Number of Images | 5126 |
| Number of Patients | 1864 |
| Density A | 180 |
| Density B | 746 |
| Density C | 746 |
| Density D | 192 |
| Age (<40) | 327 |
| Age (40-49) | 430 |
| Age (50-59) | 421 |
| Age (60-69) | 388 |
| Age (70-79) | 231 |
| Age (≥80) | 67 |
| Ethnicity | Vietnamese |
| Hologic (Selenia Dimensions 3000) | 517 |
| Siemens (Mammomat Inspiration) | 499 |
| Fujifilm (AMULET Innovality) | 482 |
| GE (Senographe Essential ADS) | 366 |
The aggregate results for both the RSNA and Vietnamese data sets are provided in the table below:
| Metrics | Mean | Lower 95% CI bound | Upper 95% CI bound |
|---|---|---|---|
| Sensitivity | 0.900 | 0.877 | 0.921 |
| Specificity | 0.910 | 0.897 | 0.922 |
| AUC | 0.962 | 0.957 | 0.971 |
| --- | --- | --- | --- |
This performance is substantially equivalent to that of the predicate (K220080). A table of the predicate results is provided below:
| Metrics | Mean | Lower 95% CI bound | Upper 95% CI bound |
|---|---|---|---|
| Sensitivity | 0.870 | _ | _ |
| Specificity | 0.890 | _ | _ |
| AUC | 0.957 | 0.936 | 0.973 |
To further assess VinDr-Mammo’s performance, we analyzed results across four key factors: breast density, age group, scanner model, and lesion type. The following tables illustrate how the Area Under the Curve (AUC) metric remains consistent across these various subgroups.
| Breast Density | RSNA Test set | VinDr Test set |
|---|---|---|
| A | 0.964 (0.922-0.994) | 1.000 (1.000-1.000) |
| B | 0.967 (0.952-0.981) | 0.990 (0.983-0.996) |
| C | 0.946 (0.922-0.967) | 0.908 (0.886-0.928) |
| D | 0.949 (0.922-0.975) | 0.947 (0.912-0.975) |
| Age group | RSNA Test set | VinDr Test set |
| --- | --- | --- |
| Age ( <40) | 1.000 (1.000-1.000) | 0.988 (0.975-0.997) |
| Age (40-49) | 0.969 (0.947-0.985) | 0.920 (0.894-0.943) |
| Age (50-59) | 0.952 (0.915-0.983) | 0.964 (0.948-0.978) |
| --- | --- | --- |
| Age (60-69) | 0.941 (0.921-0.960) | 0.993 (0.986-0.997) |
| Age (70-79) | 0.952 (0.916-0.982) | 0.974 (0.933-0.997) |
| Age (≥80) | 0.928 (0.873-0.977) | 0.974 (0.939-0.997) |
| Scanner model | RSNA Test set | VinDr Test set |
| Hologic | – | 0.968 (0.952-0.982) |
| Siemens | – | 0.999 (0.997-1.000) |
| Fujifilm | – | 0.969 (0.944-0.988) |
| GE | – | 0.982 (0.961-0.996) |
| Lesion type | RSNA Test set | VinDr Test set |
| --- | --- | --- |
| Mass | – | 0.966 (0.951-0.979) |
| Calcification | – | 0.963 (0.951-0.974) |
A secondary endpoint was established to determine time performance of VinDr- Mammo to ensure that mammograms can be processed, and notification results returned for use by radiologists within minutes which is clinically acceptable. Lastly the timing performance for the device was shown to be an average of 2.8 minutes at a network speed of 10Mbits/s upload and 36Mbits/s download. This is well within the clinical operational expectations of the breast if biopsy-proven benign screening.
Clinical Performance Data
There was no human clinical testing required to support the substantial equivalence of the subject device. The non-clinical testing detailed in this submission supports the substantial equivalence of the device.
Conclusion
VinDr-Mammo has the same intended uses and similar indications, technological characteristics, and principles of operation as MedCognetics. The minor differences between the subject device and the predicate raise no new issues of safety or effectiveness. Performance data demonstrates that VinDr-Mammo performs as intended. Thus, VinDr- Mammo is substantially equivalent to the legally marketed predicate device.
References
- HHS Accessibility & Section 508 | HHS.gov
- U.S. Food and Drug Administration
- U.S. Food and Drug Administration
- 510(k) Premarket Notification
- Postmarketing Safety Reporting for Combination Products | FDA
- Device Advice: Comprehensive Regulatory Assistance | FDA
- Contact Us – Division of Industry and Consumer Education (DICE) | FDA
- Medical Device Reporting (MDR): How to Report Medical Device Problems | FDA
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