(310 days)
Yes
The device description explicitly mentions "Artificial Intelligence" and "A.I. algorithm" in relation to the AutoEF and eDetect features, and "A.I. Powered" for the XStrain feature. The "Mentions AI, DNN, or ML" section also confirms the presence of AI.
No.
The device is an ultrasound scanner primarily used for diagnostic imaging, not for direct therapeutic intervention.
Yes
The 'Intended Use / Indications for Use' section states that the device is used to "collect, display, and analyze ultrasound images" for various applications including Cardiac, Vascular, General Imaging, and Women's Health. The analysis of these images is performed for diagnostic purposes, such as assessing morphology and supporting radiological clinical examinations. For example, the device helps calculate LV volumes and ejection fraction, assists in breast lesion contouring, and quantifies cardiac strain, all of which are diagnostic functions.
No
The device description clearly states it is a "multifunctional ultrasound scanner MyLabX90" which is a "mainframe systems equipped with wheels allowing to move the system." This indicates a physical hardware device, not software only. While it includes software features like AI-powered analysis, it is integrated into a hardware platform.
Based on the provided information, this device is not an In Vitro Diagnostic (IVD).
Here's why:
- Intended Use: The intended use clearly states that the device is used to "collect, display, and analyze ultrasound images during ultrasound imaging procedures." This describes an imaging system used for diagnostic purposes in vivo (within the living body), not in vitro (outside the living body, typically on biological samples).
- Device Description: The description details a physical ultrasound scanner with probes, a control panel, and a display. This is consistent with an imaging device used directly on a patient.
- Lack of IVD Characteristics: There is no mention of analyzing biological samples, reagents, or performing tests on specimens outside the body, which are hallmarks of IVD devices.
While the device uses image processing and AI to assist in the interpretation of the ultrasound images, the primary function is the acquisition and display of images from within the patient's body. This falls under the category of medical imaging devices, not IVDs.
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 multifunctional ultrasound scanner MyLabX90 is used to collect, display, and analyze ultrasound images during ultrasound imaging procedures in combination with supported echographic probes.
| Main application | Districts | Invasive access |
|---|---|---|
| Cardiac | Cardiac Adult, Cardiac Pediatric | Transesophageal |
| Vascular | Neonatal, Adult Cephalic, Vascular | Not applicable |
| General Imaging | Abdominal, Breast, Musculo- skeletal, Neonatal, Pediatric, Small Organs (Testicles), Thyroid, Urological | Intraoperative (Abdominal), Laparoscopic, Transrectal |
| Women Health | OB/Fetal, Gynecology | Transrectal, Transvaginal |
Virtual Navigator option supports a radiological clinical ultrasound examination (first modality) by providing additional image information from a second imaging modality. As second imaging modality it is intended any image coming from CT, MR, US, PET,XA and NM. The second modality provides additional security in assessing the morphology of the real time ultrasound image.
Product codes
IYN, IYO, ITX, QIH
Device Description
The upgraded 6440 systems, MyLabX90 is a mainframe systems equipped with wheels allowing to move the system.
MyLabX90 scanners are based on a mainframe easily movable platform.
MyLabX90 scanners have four swiveling wheels. they have a range of height adjustments for onetime installation, the main screen can be easily moved due to an optional articulated arm. Due to their small footprint they can fit in any real-world clinical environment.
The possibility to adjust both the main screen. control panel and touchscreen brightness enables the use of MyLab in any environment even with really different lighting conditions:
from the really bright scenario of the operative room, to the dark scenario of the examination room, passing through the medium-light environment of the bed-side examination setting.
The primary modes of operation are for both models: B-Mode, M-Mode, Tissue Enhancement Imaging (TEI), Multi View (MView), Doppler, Color Flow Mapping (CFM), Amplitude Doppler (AD), Tissue Velocity Mapping (TVM), 3D and 4D. Model 6440 manages Qualitative Elastosonography (ElaXto).
Model 6440 can drive Phased array, Convex array, Linear array, Doppler probes and Volumetric probes (Bi-Scan probes). The control panel is equipped with a pull-out Qwerty alphanumeric keyboard that allows data entry.
Model 6440 has the Virtual Navigator software option integrated, designed to support a radiological clinical ultrasound examination (first modality) and follow a percutaneous procedure providing additional image information from a 2nd imaging modality (CT, MR, US and PET). The user is helped in assessing the patient anatomy by displaying the image generated by the 2nd modality.
Model 6440 is equipped with wireless capability.
Model 6440 is already cleared via K173291.
The marketing name for new devices of Model 6440 will be:
MyLabX90
MyLabX90, defined herein, combines the cleared features of 6440 system with new capabilities, listed below:
-
- Cardio Package with new AUTO E.F. The AutoEF, based on Artificial Intelligence, detects and track, automatically, the LV endocardial border to calculate LV Volumes (Diastolic Volume - Systolic Volume) and EF (Ejection Fraction). The software module (powered with A.I.) is registered by Pie Medical Imaging B.V. as Caas Qardia (K212376)
-
- eDetect for Breast Lesions contouring function supports the operator by detecting the lesion contour (with A.I. algorithm) in Breast measurements, after that the operator has identified the region, with suspicious lesions, and applied the ROI marker. At the end of the detection the operator can confirm/edit the proposed contour or redraw it completely. In addition, several morphologic parameters (following Bi-Rads : shape, orientation and circumscribed) are automatically proposed to the customer and upon validation is inserted in the final report. The tool is available in Breast application.
-
- XStrain allows clinicians to quantify endocardial velocities of contraction and relaxation and local deformation of the heart (Strain rate). Based on 2D speckle tracking technology with Angle-independent technology. A.I. Powered for auto border detection of left ventricle (LV).
-
- The QAI (Quality Attenuation Imaging) application allows to perform a Colored Quantitative Attenuation analysis of tissues in Real-time. Based on the attenuation analysis along the ROI. In QAI attenuation parameter values are converted and color coded and displayed inside the Region Of Interest (ROI). A different set of palettes is available, with dynamic control and transparency.
- The Prostate Biopsy Stepper is enabling the compatibility with CIVCO Classic and GfM 5. MST50 steppers displaying a Grid Template overlays for precise guided-biopsies. The Stepper help stabilizes and follows accurate needle path during transperineal procedure. Stepper functionality is available in Fusion imaging / UroFusion environment.
- HyperDoppler, based on Color Doppler Flow Mapping (CDFM) technology, provides different 6. map representation to highlight the intracardiac flow properties
-
- Transducer Element Check
-
- New transducers 2CWL, 5CWL, CX 1-8, LX 3-15, LMX 4-20, PX 1-5 and TE 3-8
-
- New biopsy kits JSM-198 and JSM-113.
Mentions image processing
Yes
Mentions AI, DNN, or ML
Yes
Input Imaging Modality
Ultrasound, CT, MR, US, PET, XA, NM
Anatomical Site
Cardiac, Vascular, Abdominal, Breast, Musculo-skeletal, Neonatal (Cephalic), Pediatric, Small Organs (Testicles), Thyroid, Urological, OB/Fetal, Gynecology.
Indicated Patient Age Range
Neonatal, Pediatric, Adult
Intended User / Care Setting
Prescription Use (Part 21 CFR 801 Subpart D)
Description of the training set, sample size, data source, and annotation protocol
eDetect for Breast Lesions contouring (AI Summary of Testing)
Medical Center selected 450 different patients to collect training dataset, and, on each case, operators employed all the linear probes suitable for breast exams in order to save 828 images totally.
Disease distribution for training dataset is 80% Benign, 20% Malignant.
The acquisition equipment is the Ultrasound system Esaote MyLabX90 with the Esaote linear transducers L4-15, L8-24, LX3-15, LMX4-20 and L3-11.
Images have been saved during exam and lesions contoured using standard sw provided on Esaote Mylab X9 US equipment. Data Annotation includes information about lesion size, morphology, position, vascularization, and diagnosis given by physician.
For the dataset, two certified radiologists performed data evaluation for the border contouring. Their experience has therefore matured within different structures. where they have operated independently and at different times. Each contributed to the annotation then reviewed the annotations of the other. A consensus reading was done whereby the two radiologists discussed if they agreed on or not.
The delivered data were archived and delivered in 2 separated repository and confirmed no overlap between the 2 data sets.
Endocardium border segmentation (AI Summary of Testing)
The A2C/A4C algorithm was trained on 1527 image frames, of which 1221 were used for training (training dataset) and 306 for validation (validation dataset).
The total of 2616 time sequences (A2C, A3C and A4C combined) is originated by 399 patients.
The data sets are acquired from subjects with a large variety of LV functional states, e.g. normal myocardial performance, myocardial infarction, myocardial hypertrophy.
We aimed to collect data from different institutions, with different echocardiographic systems (the images were acquired by Esaote Mylab Alpha system and also from another ultrasounds scanner, not Esaote).
Annotations on the received ultrasound images are performed, using a customized CAAS Qardia 1.0 application.
There are no official guidelines for annotation of the LV blood pool endocardium contour. Therefore, an internal guideline was developed by using information gathered from external experts. These external experts are three cardiologists with more than 20 years of experience and one clinical researcher with more than 5 years of experience with the analysis of cardiac ultrasound.
Description of the test set, sample size, data source, and annotation protocol
eDetect for Breast Lesions contouring (AI Summary of Testing)
Test dataset has been collected selecting 20 patients not involved during the training dataset acquisition. Even in this case, exams were executed employing all the available linear breast probes to save 100 images totally.
The test dataset is composed 100 Images with Measure collected from 20 different patients. These 20 patients were not involved in the collection of the training dataset in order to keep training and test sets separated.
Disease distribution for test dataset is 80% benign cases and 20% malignant.
The acquisition equipment is the Ultrasound system Esaote MyLabX90 with the Esaote linear transducers L4-15, L8-24, LX3-15, LMX4-20 and L3-11.
Images have been saved during exam and lesions contoured using standard sw provided on Esaote Mylab X9 US equipment. Data Annotation includes information about lesion size, morphology, position, vascularization, and diagnosis given by physician.
For the dataset, two certified radiologists performed data evaluation for the border contouring. Their experience has therefore matured within different structures. where they have operated independently and at different times. Each contributed to the annotation then reviewed the annotations of the other. A consensus reading was done whereby the two radiologists discussed if they agreed on or not.
The delivered data were archived and delivered in 2 separated repository and confirmed no overlap between the 2 data sets.
Endocardium border segmentation (AI Summary of Testing)
The A2C/A4C algorithm was tested on 200 image frames (test dataset).
There is no overlap between training dataset, validation dataset and testing dataset.
The echocardiographic images of patients with varying age and gender were included.
The total of 2616 time sequences (A2C, A3C and A4C combined) is originated by 399 patients.
The data sets are acquired from subjects with a large variety of LV functional states, e.g. normal myocardial performance, myocardial infarction, myocardial hypertrophy.
We aimed to collect data from different institutions, with different echocardiographic systems (the images were acquired by Esaote Mylab Alpha system and also from another ultrasounds scanner, not Esaote).
Annotations on the received ultrasound images are performed, using a customized CAAS Qardia 1.0 application.
There are no official guidelines for annotation of the LV blood pool endocardium contour. Therefore, an internal guideline was developed by using information gathered from external experts. These external experts are three cardiologists with more than 20 years of experience and one clinical researcher with more than 5 years of experience with the analysis of cardiac ultrasound.
Summary of Performance Studies
eDetect for Breast Lesions contouring (AI Summary of Testing)
Study Type: Performance validation against predetermined acceptance criteria
Sample Size: 100 images from 20 different patients.
Key Results: The test results are in line with the acceptance criteria.
Acceptance Criteria:
Breast Lesion – IOU Contour Acceptance Threshold: 0.85
Average Error 80%
Orientation: Success Rate > 90%
Circumscribed: Success Rate > 75%
Example performance for Esaote linear probe L4-15:
Area (mm^2):
A1: Target 3.14, Measured 3, Absolute Difference 0.14, Percentage Error 4.5
A2: Target 12.57, Measured 11, Absolute Difference 1.57, Percentage Error 12.5
A3: Target 28.27, Measured 25, Absolute Difference 3.27, Percentage Error 11.6
Perimeter (mm):
PT: Target 6.28, Measured 6.8, Absolute Difference 0.52, Percentage Error 8.3
P2: Target 12.57, Measured 14.3, Absolute Difference 1.73, Percentage Error 13.8
P3: Target 18.85, Measured 20.4, Absolute Difference 1.55, Percentage Error 8.2
Endocardium border segmentation (AI Summary of Testing)
Study Type: Verification by determining Dice coefficient.
Sample Size: 200 individually segmented frames (test dataset).
Key Results: The mean Dice coefficient of the test cases must be larger than 0.9 and have a standard deviation of at most 0.03. For the A2C/A4C algorithm, the average Dice coefficient is 0.95 with a standard deviation of 0.02 for the 200 individually segmented frames.
Dice coefficient and standard deviation:
| End diastolic | End Systolic | Combined | |
|---|---|---|---|
| A2C | 0.95±0.02 | 0.94±0.03 | 0.95±0.02 |
| A4C | 0.96±0.02 | 0.95±0.02 | 0.95±0.02 |
| Combined | 0.95±0.02 | 0.94±0.02 | 0.95±0.02 |
Key Metrics
eDetect for Breast Lesions contouring:
IOU Contour Acceptance Threshold, Average Error (Area and Perimeter), Success Rate (for BIRADS Parameters: Shape, Orientation, Circumscribed). Data given as percentage error and absolute difference.
Endocardium border segmentation:
Dice coefficient and standard deviation.
Predicate Device(s)
Reference Device(s)
Predetermined Change Control Plan (PCCP) - All Relevant Information
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.
0
November 29, 2023
Image /page/0/Picture/1 description: The image contains 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.
Esaote S.p.A. % Alberto Carcagni Regulatory Officer Via Enrico Melen 77 Genoa, Genoa 16152 ITALY
Re: K230179
Trade/Device Name: 6440 MyLabX90 Regulation Number: 21 CFR 892.1550 Regulation Name: Ultrasonic Pulsed Doppler Imaging System Regulatory Class: Class II Product Code: IYN, IYO, ITX, QIH Dated: October 27, 2023 Received: October 27, 2023
Dear Alberto Carcagni:
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).
1
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.
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 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,
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
2
Indications for Use
510(k) Number (if known)
Device Name 6440 MyLabX90
Indications for Use (Describe)
The multifunctional ultrasound scanner MyLabX90 is used to collect, display, and analyze ultrasound images during ultrasound imaging procedures in combination with supported echographic probes.
| Main application | Districts | Invasive access |
|---|---|---|
| Cardiac | Cardiac Adult, Cardiac Pediatric | Transesophageal |
| Vascular | Neonatal, Adult Cephalic, Vascular | Not applicable |
| General Imaging | Abdominal, Breast, Musculo- | |
| skeletal, Neonatal, Pediatric, Small | ||
| Organs (Testicles), Thyroid, | ||
| Urological | Intraoperative (Abdominal), | |
| Laparoscopic, | ||
| Transrectal | ||
| Women Health | OB/Fetal, Gynecology | Transrectal, Transvaginal |
Virtual Navigator option supports a radiological clinical ultrasound examination (first modality) by providing additional image information from a second imaging modality. As second imaging modality it is intended any image coming from CT, MR, US, PET,XA and NM. The second modality provides additional security in assessing the morphology of the real time ultrasound image.
| 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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3
510(k) Summary
The following 510(k) summary has been prepared pursuant to requirements specified in 21CFR 807.92.
807.92(a)(1)
Submitter Information Esaote S.p.A Via E. Melen 77 16152 Genoa Italy Contact Person: Alberto Carcagnì, Regulatory Affairs Specialist alberto.carcagni(@esaote.com Date: Latest modification on 27 September 2023 807.92(a)(2) Devices Common Name: Ultrasound Imaging System Trade Name: 6440 MyLabX90 Classification Name(s): Ultrasound Pulse Doppler Imaging System 892.1550 Ultrasound Pulse Echo Imaging System 892.1560 Transducer, Ultrasonic, Diagnostic 892.1570 Automated Radiological Image Processing Software 892.2050 892.1550, 892.1560, 892.1570 and 892.2050 Classification Number: IYN, IYO, ITX and QIH Product Codes:
4
807.92(a)(3)
Predicate Device(s)
| Predicate | 510(k) | Device | Owner |
|---|---|---|---|
| Primary | K173291 | 6440 - MyLab9 | Esaote S.p.A. |
| Reference | K192157 | 6450 - MyLabX8 | Esaote S.p.A. |
| Reference | K212021 | 6430 - MyLabX75 | Esaote S.p.A. |
Additional substantial equivalence information is provided in the substantial equivalence comparison table.
5
807.92(a)(4)
Device Description
The upgraded 6440 systems, MyLabX90 is a mainframe systems equipped with wheels allowing to move the system.
MyLabX90 scanners are based on a mainframe easily movable platform.
MyLabX90 scanners have four swiveling wheels. they have a range of height adjustments for onetime installation, the main screen can be easily moved due to an optional articulated arm. Due to their small footprint they can fit in any real-world clinical environment.
The possibility to adjust both the main screen. control panel and touchscreen brightness enables the use of MyLab in any environment even with really different lighting conditions:
from the really bright scenario of the operative room, to the dark scenario of the examination room, passing through the medium-light environment of the bed-side examination setting.
The primary modes of operation are for both models: B-Mode, M-Mode, Tissue Enhancement Imaging (TEI), Multi View (MView), Doppler, Color Flow Mapping (CFM), Amplitude Doppler (AD), Tissue Velocity Mapping (TVM), 3D and 4D. Model 6440 manages Qualitative Elastosonography (ElaXto).
Model 6440 can drive Phased array, Convex array, Linear array, Doppler probes and Volumetric probes (Bi-Scan probes). The control panel is equipped with a pull-out Qwerty alphanumeric keyboard that allows data entry.
Model 6440 has the Virtual Navigator software option integrated, designed to support a radiological clinical ultrasound examination (first modality) and follow a percutaneous procedure providing additional image information from a 2nd imaging modality (CT, MR, US and PET). The user is helped in assessing the patient anatomy by displaying the image generated by the 2nd modality.
Model 6440 is equipped with wireless capability.
Model 6440 is already cleared via K173291.
The marketing name for new devices of Model 6440 will be:
MyLabX90 ●
MyLabX90, defined herein, combines the cleared features of 6440 system with new capabilities, listed below:
-
- Cardio Package with new AUTO E.F. The AutoEF, based on Artificial Intelligence, detects and track, automatically, the LV endocardial border to calculate LV Volumes (Diastolic Volume - Systolic Volume) and EF (Ejection Fraction). The software module (powered with A.I.) is registered by Pie Medical Imaging B.V. as Caas Qardia (K212376)
-
- eDetect for Breast Lesions contouring function supports the operator by detecting the lesion contour (with A.I. algorithm) in Breast measurements, after that the operator has identified the region, with suspicious lesions, and applied the ROI marker. At the end of the detection the operator can confirm/edit the proposed contour or redraw it completely. In addition, several morphologic parameters (following Bi-Rads : shape, orientation and circumscribed) are automatically proposed to the customer and upon validation is inserted in the final report. The tool is available in Breast application.
6
-
- XStrain allows clinicians to quantify endocardial velocities of contraction and relaxation and local deformation of the heart (Strain rate). Based on 2D speckle tracking technology with Angle-independent technology. A.I. Powered for auto border detection of left ventricle (LV).
-
- The QAI (Quality Attenuation Imaging) application allows to perform a Colored Quantitative Attenuation analysis of tissues in Real-time. Based on the attenuation analysis along the ROI. In QAI attenuation parameter values are converted and color coded and displayed inside the Region Of Interest (ROI). A different set of palettes is available, with dynamic control and transparency.
- The Prostate Biopsy Stepper is enabling the compatibility with CIVCO Classic and GfM 5. MST50 steppers displaying a Grid Template overlays for precise guided-biopsies. The Stepper help stabilizes and follows accurate needle path during transperineal procedure. Stepper functionality is available in Fusion imaging / UroFusion environment.
- HyperDoppler, based on Color Doppler Flow Mapping (CDFM) technology, provides different 6. map representation to highlight the intracardiac flow properties
-
- Transducer Element Check
-
- New transducers 2CWL, 5CWL, CX 1-8, LX 3-15, LMX 4-20, PX 1-5 and TE 3-8
-
- New biopsy kits JSM-198 and JSM-113.
New verification tests and all the mentioned documents are enclosed in section 1.7.5.7 of this submission.
807.92(a)(5)
Indication for Use/ Intended Use
The multifunctional ultrasound scanner MyLabX90 is used to collect, display, and analyze ultrasound images during ultrasound imaging procedures in combination with supported echographic probes.
| Main application | Districts | Invasive access |
|---|---|---|
| Cardiac | Cardiac Adult, Cardiac Pediatric | Transesophageal |
| Vascular | Neonatal, Adult Cephalic, Vascular | Not applicable |
| General Imaging | Abdominal, Breast, Musculo- skeletal, Neonatal, Pediatric, Small Organs (Testicles), Thyroid, Urological | Intraoperative (Abdominal), Laparoscopic, Transrectal |
| Women Health | OB/Fetal, Gynecology | Transrectal, Transvaginal |
Virtual Navigator is a MyLab option to support a radiological clinical ultrasound examination (first modality) by providing additional image information from a second imaging
modality. As second imaging modality it is intended any image coming from CT, MR, US, PET, XA and NM.
The second modality provides additional security in assessing the morphology of the real time ultrasound image.
7
807.92(a)(6)
Technological Characteristics
MyLabX90 employs the same fundamental technological characteristics as his predicate device Esaote 6440 model cleared via K173291.
Implemented options on the existing device are identical to the one of Esaote 6440 and 6450 models cleared via K173291 and K192157.
- Clinical uses for which Esaote 6440 model have been cleared by FDA via K173291 are not changed by 6440 Upgrades, to be cleared via this submission.
- . Auto NT option on the upgraded 6440 system is identical to the one of Esaote 6440 model cleared via K173291.
- QPack, 4D STIC/XSTIC and MicroV options on the upgraded 6440 system are identical to one of Esaote 6440 model, cleared via K173291.
- . The following probes management is added on the upgraded 6440 system:
| Probe | Cleared via |
|---|---|
| C 2-9 | K192157 |
| E 3-12 | K192157 |
| IL 4-13 | K161359 |
| IOT342 | K161359 |
| LP 4-13 | K161359 |
| P 2-9 | K190989 |
| P2 5-13 | K190989 |
| SB3123 | K161359 |
| SL3116 | K161359 |
| 2CWL (Continous Wave Doppler) | The present submission |
| 5CWL (Continous Wave Doppler) | The present submission |
| CX 1-8 | The present submission |
| LX 3-15 | The present submission |
| LMX 4-20 | The present submission |
| PX 1-5 | The present submission |
| TE 3-8 | The present submission |
CX 1-8 is equivalent to cleared C 1-8, TE 3-8 transoesophageal probe is equivalent to cleared TEE022 Probe, LX 3-15 (previously known as LX 4-15) is equivalent to cleared L 3-11 Probe. LMX 4-20 is equivalent for different aspects (functional, biological) to the cleared probes LA523, LA435 and L 8-24. The introduction tests for new probes are included in section 1.7.5.7. The biocompatibility tests for the new probe materials are included in section 1.7.3 Patient Contacting Material.
- The upgraded 6440 system offer a new monitor 24' with HDR technology and a new touchscreen, these new screens are an evolution of the ones already cleared on 6440.
- . The upgraded 6440 system works with Windows 10 Enterprise, operative system, exactly like previous Esaote 6440 and 6450 models, cleared via K173291 and K192157.
8
AI Summary of Testing: eDetect for Breast Lesions contouring
The acceptance criteria is aimed to demonstrate the statistical equivalence between automated and manual assessment of the Breast Lesion contour and BIRADS parameters assessment. Criteria, to establish the final positive or negative outcome of the validation:
Breast Lesion – IOU Contour Acceptance Threshold: 0.85 Average Error 80% | Success Rate > 90% | Success Rate > 75% |
The test results are in line with the acceptance criteria.
Test example for Esaote linear probe L4-15:
L 4-15
| | Target
[mm2] | Measured
[mm2] | Absolute
Difference
[mm²] | Percentage
Error (%) | | Target
[mm] | Measured
[mm] | Absolute
Difference
[mm] | Percentage
Error (%) |
|----|-----------------|-------------------|---------------------------------|-------------------------|----|----------------|------------------|--------------------------------|-------------------------|
| A1 | 3.14 | 3 | 0.14 | 4.5 | PT | 6.28 | 6.8 | 0.52 | 8.3 |
| A2 | 12.57 | 11 | 1.57 | 12.5 | P2 | 12.57 | 14.3 | 1.73 | 13.8 |
| A3 | 28.27 | 25 | 3.27 | 11.6 | P3 | 18.85 | 20.4 | 1.55 | 8.2 |
The complete test report, with data source description, is available in section 1.7.5.
Demographics
Both Training and Test Datasets are based on female patients and report US images of breast examinations.
Clinical subgroups and confounders present in the dataset
Disease distribution for training dataset is 80% Benign, 20% Malignant. Disease distribution for test dataset is 80% benign cases and 20% malignant. There is no need to include in the training or in the validation dataset normal cases for the target of edge detection.
Equipment
The acquisition equipment is the Ultrasound system Esaote MyLabX90 with the Esaote linear transducers L4-15, L8-24, LX3-15, LMX4-20 and L3-11.
Images have been saved during exam and lesions contoured using standard sw provided on Esaote Mylab X9 US equipment. Data Annotation includes information about lesion size, morphology, position, vascularization, and diagnosis given by physician.
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"Truthing" process
For the dataset, two certified radiologists performed data evaluation for the border contouring. Their experience has therefore matured within different structures. where they have operated independently and at different times. Each contributed to the annotation then reviewed the annotations of the other. A consensus reading was done whereby the two radiologists discussed if they agreed on or not.
The delivered data were archived and delivered in 2 separated repository and confirmed no overlap between the 2 data sets.
The test dataset is composed 100 Images with Measure collected from 20 different patients. These 20 patients were not involved in the collection of the training dataset in order to keep training and test sets separated.
Ensuring independence of test data from training data
Medical Center selected 450 different patients to collect training dataset, and, on each case, operators employed all the linear probes suitable for breast exams in order to save 828 images totally.
Test dataset has been collected selecting 20 patients not involved during the training dataset acquisition. Even in this case, exams were executed employing all the available linear breast probes to save 100 images totally.
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AI Summary of Testing: Endocardium border segmentation
The Algorithm has been verified by determining the Dice coefficient using the segmented LV endocardium blood pool and the ground truth provided by the annotators following the expert guidelines.
As mentioned in 3.2, the mean Dice coefficient of the test cases must be larger than 0.9 and have a standard deviation of at most 0.03 (Leclerc, et al., 2019).
For the A2C/A4C algorithm, the average Dice coefficient is 0.95 with a standard deviation of 0.02 for the 200 individually segmented frames.
| End diastolic | End Systolic | Combined | |
|---|---|---|---|
| A2C | $0.95\pm0.02$ | $0.94\pm0.03$ | $0.95\pm0.02$ |
| A4C | $0.96\pm0.02$ | $0.95\pm0.02$ | $0.95\pm0.02$ |
| Combined | $0.95\pm0.02$ | $0.94\pm0.02$ | $0.95\pm0.02$ |
Dice coefficient and standard deviation
The complete test report, with data source description, is available in section 1.7.5.
Demographics
For the development of the present algorithm, the echocardiographic images of patients with varying age and gender were included.
The total of 2616 time sequences (A2C, A3C and A4C combined) is originated by 399 patients.
Clinical subgroups and confounders present in the dataset
The data sets are acquired from subjects with a large variety of LV functional states, e.g. normal myocardial performance, myocardial infarction, myocardial hypertrophy.
Equipment
We aimed to collect data from different institutions, with different echocardiographic systems (the images were acquired by Esaote Mylab Alpha system and also from another ultrasounds scanner, not Esaote)
Annotations on the received ultrasound images are performed, using a customized CAAS Qardia 1.0 application.
"Truthing" process
There are no official guidelines for annotation of the LV blood pool endocardium contour. Therefore, an internal guideline was developed by using information gathered from external experts. These external experts are three cardiologists with more than 20 years of experience and one clinical researcher with more than 5 years of experience with the analysis of cardiac ultrasound.
Ensuring independence of test data from training data
Description of training set, tuning set (if applicable), testing set
The A2C/A4C algorithm was trained on 1527 image frames, of which 1221 were used for training (training dataset) and 306 for validation (validation dataset).
The A2C/A4C algorithm was tested on 200 image frames (test dataset).
There is no overlap between training dataset, validation dataset and testing dataset.
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807.92(b)(1)
Summary of Non-Clinical Tests
The 6440 upgraded system, MyLabX90, has been evaluated for acoustic output, biocompatibility, cleaning and disinfection effectiveness as well as thermal, electromagnetic, and mechanical safety, and have been found to conform to the following medical device safety standards.
- IEC 60601-1:2005, AMD1:2012 ●
- IEC 60601-1-2:2014, IEC 60601-1-2:2014/AMD1:2020
- . IEC 60601-1-6:2010, AMD1:2013 for use in conjunction with IEC 62366:2007, AMD1:2014 and IEC 60601-1:2005, COR1:2006, COR2:2007, AMD1:2012
- . IEC 60601-2-37 (ed.2), am1 for use in conjunction with IEC60601-1 (ed.3), am1 with Corr1 and Corr2
- NEMA UD-2: 2004 (R2009)
- . NEMA UD-3: 2004 (R2009)
- . ETSI EN 301 489-17 V3.1.1 (2017-02)
- . EN 62479 (2010-09)
807.92(b)(2)
Summary of Clinical Tests
No clinical tests were performed.
807.92(b)(3)
Conclusion
The upgraded 6440 system. MyLabX90. is substantially equivalent to the legally marketed devices and conform to applicable medical device safety and performance standards.