(75 days)
Yes
The summary explicitly states that the device includes 'EzNerveMeasure' which is based on AI technology and utilizes a deep learning-based segmentation algorithm.
No
The device is described as a "diagnostic ultrasound system" and its function is to "acquire ultrasound data and to display the data" for "clinical diagnosis of patients", not for treatment.
Yes
The "Intended Use / Indications for Use" states, "The diagnostic ultrasound system and probes are designed to obtain ultrasound images and analyze body fluids." and "It can be used in hospitals, private practices, clinics and similar care environment for clinical diagnosis of patients." The "Device Description" also explicitly refers to it as a "diagnostic ultrasound system."
No
The device description explicitly states it is a "diagnostic ultrasound system," which includes hardware components for acquiring ultrasound data. While it is software-controlled and utilizes AI, it is not solely software.
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. They are used outside of the body.
- Device Function: The description clearly states that this is a diagnostic ultrasound system. Ultrasound systems use sound waves to create images of internal body structures. This is an in vivo (within the living body) diagnostic method.
- Intended Use: The intended use describes obtaining ultrasound images and analyzing body fluids. While it mentions analyzing body fluids, the primary function and the detailed description of the device's operation (ultrasound modes, imaging capabilities) point to it being an imaging device, not a device that performs tests on collected samples. The analysis of body fluids in this context is likely related to the interpretation of ultrasound images of fluid collections within the body, not laboratory-style testing of extracted fluids.
- Device Description: The description focuses entirely on the ultrasound imaging capabilities and analysis packages for anatomical structures.
- AI Application: The AI component is described as a sub-function of NerveTrack based on AI technology, used for segmentation of nerve images. This is an image processing application, not an in vitro diagnostic test.
Therefore, despite the mention of "analyze body fluids," the core function and description of this device align with an in vivo diagnostic imaging system, not an in vitro diagnostic device.
No
The letter does not explicitly state that the FDA has reviewed and approved or cleared a PCCP for this specific device.
Intended Use / Indications for Use
The diagnostic ultrasound system and probes are designed to obtain ultrasound images and analyze body fluids. The clinical applications include: Fetal/Obstetrics, Abdominal, Gynecology, Intraoperative. Pediatric, Small Organ, Neonatal Cephalic, Trans-rectal, Trans-rectal, Trans-vaginal, Muscular-Skeletal (Conventional, Superficial), Urology, Cardiac Adult, Cardiac Pediatric, Thoracic, Trans-esophageal (Cardiac) and Peripheral vessel. It is intended for use by, or by the order of, and under the supervision of, an appropriately trained healthcare professional who is qualified for direct use of medical devices. It can be used in hospitals, private practices, clinics and similar care environment for clinical diagnosis of patients. Modes of Operation: 2D mode. Color Doppler mode, Power Doppler (PD) mode, M mode, Pulsed Wave (PW) Doppler mode, Continuous Wave (CW) Doppler mode. Tissue Doppler Imaging (TDI) mode. Tissue Doppler Wave (TDW) mode, ElastoScan Mode, Combined modes, Multi-Image mode(Dual, Quad), 3D/4D mode.
Product codes (comma separated list FDA assigned to the subject device)
IYN, IYO, ITX, LLZ, QIH
Device Description
The V8/cV8, V7/cV7, V6/cV6 are a general purpose, mobile, software controlled, diagnostic ultrasound system. Their function is to acquire ultrasound data and to display the data as 2D mode, Color Doppler mode, Power Doppler (PD) mode, M mode, Pulsed Wave (PW) Doppler mode, Continuous Wave (CW) Doppler mode, Tissue Doppler Imaging (TDI) mode, Tissue Doppler Wave (TDW) mode, ElastoScan Mode, Combined modes, Multi-Image mode(Dual, Quad), 3D/4D mode. The V8/cV8, V7/cV7, V6/cV6 also give the operator the ability to measure anatomical structures and offer analysis packages that provide information that is used to make a diagnosis by competent health care professionals. The V8/cV8, V7/cV7, V6/cV6 have a real time acoustic output display with two basic indices, a mechanical index and a thermal index, which are both automatically displayed.
Mentions image processing
Acquire ultrasound data and to display the data as 2D mode, Color Doppler mode, Power Doppler (PD) mode, M mode, Pulsed Wave (PW) Doppler mode, Continuous Wave (CW) Doppler mode, Tissue Doppler Imaging (TDI) mode, Tissue Doppler Wave (TDW) mode, ElastoScan Mode, Combined modes, Multi-Image mode(Dual, Quad), 3D/4D mode.
Mentions AI, DNN, or ML
The proposed V8/cV8, V7/cV7, V6/cV6 have included 'EzNerveMeasure' previously cleared in the predicate RS85 (K240516), as a sub-function of NerveTrack based on AI technology.
A deep learning-based segmentation algorithm was validated using 100 median nerve images collected at a hospital.
Input Imaging Modality
Ultrasound
Anatomical Site
Fetal/Obstetrics, Abdominal, Gynecology, Intraoperative, Pediatric, Small Organ, Neonatal Cephalic, Adult Cephalic, Trans-rectal, Trans-vaginal, Muscular-Skeletal (Conventional, Superficial), Urology, Cardiac Adult, Cardiac Pediatric, Thoracic, Trans-esophageal (Cardiac) and Peripheral vessel. (also "median nerves for wrist")
Indicated Patient Age Range
Not Found
Intended User / Care Setting
It is intended for use by, or by the order of, and under the supervision of, an appropriately trained healthcare professional who is qualified for direct use of medical devices. It can be used in hospitals, private practices, clinics and similar care environment for clinical diagnosis of patients.
Description of the training set, sample size, data source, and annotation protocol
Data used for training, tuning and validation purpose are completely separated from the ones during training process, and there is no overlap among the three.
The GT data were built by three participating experts. Nerve areas in all acquired images for training, tuning and validation were manually drawn by an anesthesiologist with more than 10 years of experience in pain management. The doctors who scanned the ultrasound were directly involved for the construction of GT data. Drawn GT rectangles covered the nerve region perfectly. For verification of GT, other doctors with more than 10 years of experience checked every frame of each scanned sequences. If they did not agree on median nerve locations, necessary corrections were made to make the final GT.
Description of the test set, sample size, data source, and annotation protocol
A deep learning-based segmentation algorithm was validated using 100 median nerve images collected at a hospital.
A total of 10 cases acquired from ten individual patients at Seoul National University were used.
Ten static images from each case are randomly selected and used for the validation dataset.
Validation dataset includes a total of 100 static images.
Demographic distribution: Gender: Female, Age: 38-68 (mean: 45.8), BMI: 16.0-27.1 (mean: 20.53), Ethnicity/Country: Koreans.
We divided the nerve ultrasound images, depending on clinical need, into median nerves for wrist.
We acquired the dataset with SAMSUNG MEDISON's ultrasound systems in order to secure diversity of the data set: Mix of data from retrospective data collection and prospective data collection in clinical practice.
The GT data were built by three participating experts. Nerve areas in all acquired images for training, tuning and validation were manually drawn by an anesthesiologist with more than 10 years of experience in pain management. The doctors who scanned the ultrasound were directly involved for the construction of GT data. Drawn GT rectangles covered the nerve region perfectly. For verification of GT, other doctors with more than 10 years of experience checked every frame of each scanned sequences. If they did not agree on median nerve locations, necessary corrections were made to make the final GT.
Data used for training, tuning and validation purpose are completely separated from the ones during training process, and there is no overlap among the three.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
The validation for EzNerveMeasure of NerveTrack based on AI. We tested on the flattening ratio (FR) and cross-sectional area (CSA) of NerveTrack EzNerveMeasure.
A deep learning-based segmentation algorithm was validated using 100 median nerve images collected at a hospital.
FR and CSA measure test: The average error rate of FR was 8.31% (95% Confidence Interval: [7.29, 9.34]), and the average error rate of CSA was 13.12% (95% Confidence Interval: [10.90, 15.34]). The standard deviation error rate of FR was 5.22, and the standard deviation error rate of CSA was 11.33. Error Rate (%) is calculated as follows: (GT Value -Measured Value) / GT Value x 100.
Sample size: 100 median nerve images from 10 individual patients (10 static images from each).
The proposed device V8/cV8, V7/cV7, V6/cV6 Ultrasound System did not require clinical studies to demonstrate substantial equivalence.
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Average error rate of FR was 8.31% (95% Confidence Interval: [7.29, 9.34])
Average error rate of CSA was 13.12% (95% Confidence Interval: [10.90, 15.34])
Standard deviation error rate of FR was 5.22
Standard deviation error rate of CSA was 11.33
Predicate Device(s): If the device was cleared using the 510(k) pathway, identify the Predicate Device(s) K/DEN number used to claim substantial equivalence and list them here in a comma separated list exactly as they appear in the text. List the primary predicate first in the list.
V8/XV8/XH8, V7/XV7/XH7, V6/XV6/XH6 Diagnostic Ultrasound System (K240631)
Reference Device(s): Identify the Reference Device(s) K/DEN number and list them here in a comma separated list exactly as they appear in the text.
RS85 Diagnostic Ultrasound System (K240516)
Predetermined Change Control Plan (PCCP) - All Relevant Information for the subject device only (e.g. presence / absence, what scope was granted / cleared under the PCCP, any restrictions, etc).
Not Found
§ 892.1550 Ultrasonic pulsed doppler imaging system.
(a)
Identification. An ultrasonic pulsed doppler imaging system is a device that combines the features of continuous wave doppler-effect technology with pulsed-echo effect technology and is intended to determine stationary body tissue characteristics, such as depth or location of tissue interfaces or dynamic tissue characteristics such as velocity of blood or tissue motion. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.(b)
Classification. Class II.
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February 12, 2025
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Samsung Medison Co., Ltd. Yujin Kim Regulatory Affairs Specialist 3366. Hanseo-ro. Nam-myeon Hongcheon-gun, Gangwon-do 25108 REPUBLIC OF KOREA
Re: K243702
Trade/Device Name: V8 Diagnostic Ultrasound System: cV8 Diagnostic Ultrasound System: V7 Diagnostic Ultrasound System; cV7 Diagnostic Ultrasound System; V6 Diagnostic Ultrasound System; cV6 Diagnostic Ultrasound System Regulation Number: 21 CFR 892.1550 Regulation Name: Ultrasonic Pulsed Doppler Imaging System Regulatory Class: Class II Product Code: IYN, IYO, ITX, LLZ, QIH Dated: November 29, 2024 Received: November 29, 2024
Dear Yujin Kim:
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"
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(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 Rue"). 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-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.
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For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device (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 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,
Marjan Nabili -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
Enclosure
3
Indications for Use
Submission Number (if known)
Device Name
V8 Diagnostic Ultrasound System; cV8 Diagnostic Ultrasound System; V7 Diagnostic Ultrasound System; cV7 Diagnostic Ultrasound System; V6 Diagnostic Ultrasound System; cV6 Diagnostic Ultrasound System
Indications for Use (Describe)
The diagnostic ultrasound system and probes are designed to obtain ultrasound images and analyze body fluids. The clinical applications include: Fetal/Obstetrics, Abdominal, Gynecology, Intraoperative. Pediatric, Small Organ, Neonatal Cephalic, Trans-rectal, Trans-rectal, Trans-vaginal, Muscular-Skeletal (Conventional, Superficial), Urology, Cardiac Adult, Cardiac Pediatric, Thoracic, Trans-esophageal (Cardiac) and Peripheral vessel. It is intended for use by, or by the order of, and under the supervision of, an appropriately trained healthcare professional who is qualified for direct use of medical devices. It can be used in hospitals, private practices, clinics and similar care environment for clinical diagnosis of patients. Modes of Operation: 2D mode. Color Doppler mode, Power Doppler (PD) mode, M mode, Pulsed Wave (PW) Doppler mode, Continuous Wave (CW) Doppler mode. Tissue Doppler Imaging (TDI) mode. Tissue Doppler Wave (TDW) mode, ElastoScan Mode, Combined modes, Multi-Image mode(Dual, Quad), 3D/4D mode.
Type of Use (Select one or both, as applicable)
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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K243702
510(K) Summary:
In accordance with 21 CFR 807.92, the following summary of information is provided:
- Date Prepared November 29th, 2024 1.
-
- Manufacturer SAMSUNG MEDISON CO., LTD. 3366, Hanseo-ro, Nam-myeon, Hongcheon-gun, Gangwon-do 25108, Republic of Korea
-
- Primary Contact Person Yujin Kim Regulatory Affairs Specialist Phone: +82.2.2194.5486 Fax: +82. 2.2194.0273 Email: yujin714.kim(@samsung.com
- Secondary Contact Person 4. Ninad Gujar Vice President Phone: +1.978.564.8632 Fax: +1.978.564.8677 Email: ngujar@neurologica.com
-
- Proposed Device
- Common/Usual Name : Diagnostic Ultrasound System and Accessories -
- -Proprietary Name : V8 Diagnostic Ultrasound System
- cV8 Diagnostic Ultrasound System
- V7 Diagnostic Ultrasound System
- cV7 Diagnostic Ultrasound System
- V6 Diagnostic Ultrasound System
- cV6 Diagnostic Ultrasound System
- cV8 Diagnostic Ultrasound System
- Regulation Name : Ultrasonic pulsed doppler imaging system -
- Regulatory Class : Class II -
- -Product Code : IYN, IYO, ITX, LLZ, OIH
- Regulation Number : 21 CFR 892.1550, 892.1560, 892.1570, 892.2050 -
- Predicate Devices 6.
-
- Device Description
The V8/cV8, V7/cV7, V6/cV6 are a general purpose, mobile, software controlled, diagnostic ultrasound system. Their function is to acquire ultrasound data and to display the data as 2D mode, Color Doppler mode, Power Doppler (PD) mode, M mode, Pulsed Wave (PW) Doppler mode, Continuous Wave (CW) Doppler mode, Tissue Doppler Imaging (TDI) mode,
5
Tissue Doppler Wave (TDW) mode, ElastoScan Mode, Combined modes, Multi-Image mode(Dual, Quad), 3D/4D mode. The V8/cV8, V7/cV7, V6/cV6 also give the operator the ability to measure anatomical structures and offer analysis packages that provide information that is used to make a diagnosis by competent health care professionals. The V8/cV8, V7/cV7, V6/cV6 have a real time acoustic output display with two basic indices, a mechanical index and a thermal index, which are both automatically displayed.
-
- Intended Use
The diagnostic ultrasound system and probes are designed to obtain ultrasound images and analyze body fluids.
- Intended Use
The clinical applications include: Fetal/Obstetrics, Abdominal, Gynecology, Intra-operative, Pediatric, Small Organ, Neonatal Cephalic, Adult Cephalic, Trans-rectal, Trans-vaginal, Muscular-Skeletal (Conventional, Superficial), Urology, Cardiac Adult, Cardiac Pediatric, Thoracic, Trans-esophageal (Cardiac) and Peripheral vessel.
It is intended for use by, or by the order of, and under the supervision of, an appropriately trained healthcare professional who is qualified for direct use of medical devices. It can be used in hospitals, private practices, clinics and similar care environment for clinical diagnosis of patients.
Modes of Operation: 2D mode, Color Doppler mode, Power Doppler (PD) mode, M mode, Pulsed Wave (PW) Doppler mode, Continuous Wave (CW) Doppler mode, Tissue Doppler Imaging (TDI) mode, Tissue Doppler Wave (TDW) mode, ElastoScan Mode, Combined modes, Multi-Image mode(Dual, Quad), 3D/4D mode.
-
- Determination of Substantial Equivalence
Comparison to Predicate: The V8/cV8. V7/cV7, V6/cV6 are substantially equivalent to the predicate devices with regard to intended use, imaging capabilities, technological characteristics and safety and effectiveness.
- Determination of Substantial Equivalence
-
The systems are all intended for diagnostic ultrasound imaging and fluid flow . analysis.
-
The proposed V8/cV8, V7/cV7, V6/cV6 and the primary predicate V8/XV8/XH8, ● V7/XV7/XH7, V6/XV6/XH6 (K240631) have the same intended use.
-
The proposed V8/cV8, V7/cV7, V6/cV6 and the primary predicate V8/XV8/XH8, V7/XV7/XH7, V6/XV6/XH6 (K240631) have the same imaging modes and modes of operation.
-
. The proposed V8/cV8, V7/cV7, V6/cV6 have included 'EzNerveMeasure' previously cleared in the predicate RS85 (K240516), as a sub-function of NerveTrack based on AI technology.
-
The proposed V8/cV8, V7/cV7, V6/cV6 have included 'RFA Viewer'. This .
6
function displays information in real-time, such as total ablation time and total energy, generated by the RFA Generator.
- The proposed V8/cV8, V7/cV7, V6/cV6 have updated 'Strain+', a cleared function . in the primary predicate V8/XV8/XH8, V7/XV7/XH7, V6/XV6/XH6 (K240631). It has expanded 'left atrium(LA), and right ventricle(RV)' measurement items.
- . The proposed V8/cV8, V7/cV7, V6/cV6 have updated 'AutoEF', a cleared function in the primary predicate V8/XV8/XH8, V7/XV7/XH7, V6/XV6/XH6 (K240631). It has expanded a 'Global Longitudinal Strain(GLS)' measurement item.
- . The proposed V8/cV8, V7/cV7, V6/cV6 have included a new transducer BCL2-14. Biocompatibility test has been conducted for the new transducer, and image performance test has been conducted for the new transducer.
- . The proposed V8/cV8, V7/cV7, V6/cV6 and the primary predicate V8/XV8/XH8, V7/XV7/XH7, V6/XV6/XH6 (K240631) have the same capability in terms of performing measurements, capturing digital images, reviewing and reporting studies.
- . The proposed V8/cV8, V7/cV7, V6/cV6 and the primary predicate V8/XV8/XH8, V7/XV7/XH7. V6/XV6/XH6 (K240631) have been designed in compliance with approved electrical and physical safety standards.
- . The system is manufactured with materials which have been evaluated and found to be safe for the intended use of the device.
- . The system has acoustic power levels which are below the applicable FDA limits.
-
- Summary of Non-Clinical Testing
The device has been evaluated for acoustic output, biocompatibility, software function, cleaning and disinfection effectiveness as well as thermal, electrical, electromagnetic and mechanical safety, and has been found to conform with applicable FDA guidances and medical device safety standards. The V8/cV8, V7/cV7, V6/cV6 and its applications comply with the following FDA-recognized standards.
| Reference No. | Title |
|---|---|
| IEC 60601-1 | AAMI ANSI ES60601-1:2005/(R)2012 & A1:2012 C1:2009/(R)2012 & |
| A2:2010/(R)2012 (Cons. Text) [Incl. AMD2:2021] Medical electrical | |
| equipment - Part 1: General requirements for basic safety and essential | |
| performance (IEC 60601-1:2005, MOD) | |
| IEC 60601-1-2 | IEC60601-1-2:2014 [Including AMD 1:2021] , Medical electrical |
| equipment - Part 1-2: General requirements for basic safety and essential | |
| performance - EMC | |
| IEC 60601-2-37 | IEC 60601-2-37 Edition 2.1 2015, Medical electrical equipment – Part 2- |
| 37: Particular requirements for the basic safety and essential performance | |
| of ultrasonic medical diagnostic and monitoring equipment | |
| IEC 60601-4-2 | IEC TR 60601-4-2 Edition 1.0 2016-05, Medical electrical equipment - |
7
| Part 4-2: Guidance and interpretation - Electromagnetic immunity: | |
|---|---|
| performance of medical electrical equipment and medical electrical | |
| systems | |
| ISO10993-1 | AAMI / ANSI / ISO 10993-1:2018, Biological evaluation of medical |
| devices - Part 1: Evaluation and testing within a risk management process | |
| ISO14971 | ISO 14971:2019, Medical devices - Application of risk management to |
| medical devices | |
| NEMA UD 2-2004 | NEMA UD 2-2004 (R2009) Acoustic Output Measurement Standard for |
| Diagnostic Ultrasound Equipment Revision 3 |
All software tests met the acceptance criteria for verification and validation testing.
[The validation for EzNerveMeasure of NerveTrack based on AI]
- Summary test statistics or other test results including acceptance criteria or other information supporting the appropriateness of the characterized performance. We tested on the flattening ratio (FR) and cross-sectional area (CSA) of NerveTrack EzNerveMeasure.
- | | A deep learning-based segmentation algorithm was validated using 100 median nerve images collected at a hospital.
- □ FR and CSA measure test
· The average error rate of FR was 8.31% (95% Confidence Interval: [7.29, 9.34]), and the average error rate of CSA was 13.12% (95% Confidence Interval: [10.90, 15.34]). The standard deviation error rate of FR was 5.22, and the standard deviation error rate of CSA was 11.33. Error Rate (%) is calculated as follows: (GT Value -Measured Value) / GT Value x 100.
- The number of individual patients, images were collected from:
- | | A total of 10 cases acquired from ten individual patients at Seoul National University were used.
- | | Ten static images from each case are randomly selected and used for the validation dataset.
- The number of samples, if different from above, and the relationship between the two:
- [] Each individual contributed at ten static images. In other words, the ten static images from a 2D sequence data acquired from an individual were used for validation.
- □ Validation dataset includes a total of 100 static images.
- Demographic distribution:
- □ Gender: Female
8
- □ Age: 38-68 (mean: 45.8)
- □ BMI: 16.0-27.1 (mean: 20.53)
- □ Ethnicity/Country: Koreans
- Information about clinical subgroups and confounders present in the dataset:
- □ We divided the nerve ultrasound images, depending on clinical need, into median nerves for wrist.
- Information about equipment and protocols used to collect images
- □ We acquired the dataset with SAMSUNG MEDISON's ultrasound systems in order to secure diversity of the data set: Mix of data from retrospective data collection and prospective data collection in clinical practice.
- Information about how the reference standard was derived from the dataset (i.e. the "Truthing" process):
- □ The GT data were built by three participating experts. Nerve areas in all acquired images for training, tuning and validation were manually drawn by an anesthesiologist with more than 10 years of experience in pain management. The doctors who scanned the ultrasound were directly involved for the construction of GT data. Drawn GT rectangles covered the nerve region perfectly.
- | | For verification of GT, other doctors with more than 10 years of experience checked every frame of each scanned sequences. If they did not agree on median nerve locations, necessary corrections were made to make the final GT.
- Description of how the independence of test data from training data was ensured:
- Data used for training, tuning and validation purpose are completely separated from the ones during training process, and there is no overlap among the three.
12. Summary of Clinical Tests
The proposed device V8/cV8, V7/cV7, V6/cV6 Ultrasound System did not require clinical studies to demonstrate substantial equivalence.
-
- Conclusion
Since the predicate devices and the subject device have a similar intended use and key technological features, the non-clinical data support the safety of the device and demonstrate that the V8/cV8, V7/cV7, V6/cV6 Ultrasound System should perform as intended in the specified use conditions. Therefore, SAMSUNG MEDISON CO., LTD. considers the subject device to be as safe, as effective, and performance is substantially equivalent to the primary predicate device that is currently marketed for the same intended use.
- Conclusion
-
i END of 510(k) Summary -