Segment 3DPrint

K211966 · Medviso AB · LLZ · May 6, 2022 · Radiology

Device Facts

• Record ID: K211966
• Device Name: Segment 3DPrint
• Applicant: Medviso AB
• Product Code: LLZ · Radiology
• Decision Date: May 6, 2022
• Decision: SESE
• Submission Type: Traditional
• Regulation: 21 CFR 892.2050
• Device Class: Class 2
• Attributes: AI/ML, Software as a Medical Device, Pediatric

Intended Use

Segment 3DPrint is a software for review and segmentation of images from a medical scanner as well as of medical 3D models. Segment 3DPrint is intended to generate 3D models for diagnostic purposes in both paediatric and adult populations in the field of orthopaedic, maxillofacial, and cardiovascular applications. The models can be used for visualisation, measuring, and treatment planning. Output from Segment 3DPrint can be used to fabricate physical replicas, by use of additive manufacturing methods. Segment 3DPrint is intended to be used by trained professionals in conjunction with expert clinical judgement.

Device Story

Software imports medical images (e.g., CT/MRI) from scanners, network, or portable media; performs manual or semi-automatic segmentation to generate 3D models. Used by trained professionals in clinical settings for visualization, measurement, and treatment planning. Output supports fabrication of physical replicas via additive manufacturing. Device does not alter original imaging data; provides support tool for clinical decision-making. Benefits include improved diagnostic visualization and planning for complex anatomical structures.

Clinical Evidence

Bench and clinical validation studies performed. 12 models (maxillofacial, orthopaedic, cardiovascular) printed to validate accuracy, achieving <1 mm precision. AI bone segmentation algorithm validated on 21 datasets (separate from 20 training sets); results showed Dice coefficient 0.96, Jaccard 0.92, and 95th percentile surface distance <1 mm. No adverse events reported.

Technological Characteristics

Software-based image processing system. Operates on standard PC (Windows 10). Features include DICOM-compliant image import, manual/semi-automatic segmentation, 3D rendering, and linear measurement tools. Connectivity via TCP/IP. Algorithm includes AI-based bone segmentation. No hardware components; software-only.

Indications for Use

Indicated for paediatric and adult populations requiring 3D model generation for diagnostic purposes in orthopaedic, maxillofacial, and cardiovascular applications. Used by trained professionals for visualization, measurement, and treatment planning.

Regulatory Classification

Identification

A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.

Special Controls

*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).

Predicate Devices

• Mimics Medical (K183105)

Submission Summary (Full Text)

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Image /page/0/Picture/0 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 FDA logo is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.

Medviso AB % Einar Heiberg, Ph.D. Founder, Vice President, CTO Griffelvägen 3 Lund. SE-22467 SWEDEN

May 6, 2022

Re: K211966

Trade/Device Name: Segment 3DPrint Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ Dated: March 30, 2022 Received: April 8, 2022

Dear Einar Heiberg:

We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.

If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.

Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801and Part 809); medical device reporting of medical device-related adverse events) (21 CFR

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803) for devices or postmarketing safety reporting (21 CFR 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 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.

Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to 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 ([e-mail]) or phone [phone] or 301-796-7100).

Sincerely.

For

Thalia T. Mills, Ph.D. Director DHT8B: Division of Radiological Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Ouality Center for Devices and Radiological Health

Enclosure

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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration

## Indications for Use

510(k) Number (if known) K211966

Device Name Segment 3DPrint

### Indications for Use (Describe)

Segment 3DPrint is a software for review and segmentation of images from a medical scanner as well as of medical 3D models. Segment 3DPrint is intended to generate 3D models for diagnostic purposes in both paediativ and adult populations in the field of orthopaedic, maxillofacial, and cardiovascular applications. The models can be used for visualisation, measuring, and treatment planning. Output from Segment 3DPrint can be used to fabrical replical replical replical replical replical replical replical replical by use of additive manufacturing methods. Segment 3DPrint is intended to be used by trained professionals in conjunction with expert clinical judgement.

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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### 510 (k) Summary 5

#### Submitter 5.1

Medviso AB Griffelvägen 3 SE-224 67 Lund, Sweden [phone]

Date Prepared: May 4, 2022 Contact Person: Einar Heiberg, PhD, CTO, [phone], [e-mail]

#### 5.2 Device

Device Trade Name: Segment 3DPrint Device Common Name: Image processing system Classification Name: Class II - System, Image Processing Regulation Number: 892.2050(Medical image management and processing system) Product Code: LLZ

#### Predicate Device 5.3

Mimics Medical (K183105) Materialise N.V. Technologielaan 15 3001 Leuven Belgium

#### 5.4 Device Description

# Device Description

Seqment 3DPrint is a software for review and segmentation of images from a medical scanner as well as of medical 3D models. Segment 3DPrint is intended to generate 3D models for diagnostic purposes. The models can be used for visualisation, measuring, and treatment planning. Output from Segment 3DPrint can be used to fabricate physical replicas, by use of additive manufacturing methods.

Image /page/3/Picture/14 description: The image shows the word "MEDVISO" in a light blue color. The word is surrounded by a pattern of small, light blue squares that form a semi-circular shape above and below the word. The squares are arranged in a grid-like pattern and appear to be fading out towards the edges of the semi-circle.

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Medical images and 3D models may be imported from various sources, including images stored on portable media, network storage devices, and other vendor systems.

Segment 3DPrint meets the identification criteria LLZ 892.2050 - Picture archiving and communications system. Segment 3DPrint is a software with the capability to import and display medical images and to perform digital processing of a rendered 3D object. Segment 3DPrint is a support tool with the means of generating 3D models and should be used by medically trained professionals in conjunction with expert clinical judgement.

The user will interact with Seqment 3DPrint through a graphical user interface on a standard PC platform, using Windows operating system.

#### 5.5 Intended Use

Segment 3DPrint is a software for review and segmentation of images from a medical scanner as well as of medical 3D models. Segment 3DPrint is intended to generate 3D models for diagnostic purposes in both paediatric and adult populations in the field of orthopaedic, maxillofacial, and cardiovascular applications. The models can be used for visualisation, measuring, and treatment planning. Output from Segment 3DPrint can be used to fabricate physical replicas, by use of additive manufacturing methods. Segment 3DPrint is intended to be used by trained professionals in conjunction with expert clinical judgement.

# Comparison with Predicate Device

Both Segment 3DPrint and the predicate device Mimics Medical are support tools which provide the healthcare professional(s) with relevant clinical data to support clinical decisions by analyzing the generated 3D models.

Both Seament 3DPrint and Mimics Medical can be used for the fabrication of physical replicas of the output file using additive manufacturing methods.

The intended use for Segment 3DPrint is substantially equivalent to the intended use of the predicate device Mimics Medical.

#### Technological Characteristics 5.6

Seament 3DPrint and the predicate device are both software packages that can be used for visualization and segmentation of medical images. Both Segment 3DPrint and the predicate device provide a user interface with items for selecting images and adjusting image viewing and can be operated from a personal computer. The subject device and predicate device render segmentations of the region of interest either semiautomatically, manually, or in combination, providing digital 3D models. The technological difference between the subject device and the predicate device is that different algorithms are used for the semi-automatic segmentation approaches. There might be slight differences in features and menu, but these differences between the

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predicate device and the proposed device are not significant since they do not raise any new or potential safety risks to the user or patient and questions of safety or effectiveness. Based on the results of software validation and verification tests, we conclude that Segment 3DPrint is substantially equivalent to the predicate device.

| System | Segment 3DPrint | Mimics Medical |
|-----------------------------------------------------|------------------------------------------|--------------------------------------|
| Version | 3.2 | 23.0.2 |
| Manufacturer | Medviso AB | Materialise NV |
| 510(k) number | K211966 | K183105 |
| Classification | 892.2050<br>LLZ, Class II | 892.2050<br>LLZ, Class II |
| Intended use | same | same |
| Patient population | All with images from<br>medical scanner. | Unspecified |
| Graphical user interface | Yes | Yes |
| Platform | PC | PC |
| Operating system | MS Windows 10 | MS Windows 10 |
| Image display monitor | Unspecified | Resolution of 1280x1024 or<br>higher |
| Report display monitor | No | No |
| Patient demographics | Yes | Yes |
| Networking | TCP/IP | TCP/IP |
| DICOM compliant image<br>compression | Lossless | Lossless |
| Image communication | Yes | Yes |
| Image processing annotations | Yes | Yes |
| Linear measurement tools | Yes | Yes |
| Automatic and manual<br>segmentation of object | Yes | Yes |
| Automatic filling and<br>smoothing tools | Yes | Yes |
| Local and remote image<br>storage | Yes | Yes |
| Type of software – custom<br>integrated | Yes | Yes |
| Viewing | Yes | Yes |
| Safety - For use only by a<br>licensed professional | Yes | Yes |

Image /page/5/Picture/4 description: The image shows the word "MEDVISO" in a light blue color. The word is surrounded by a pattern of small, light blue squares that form a semi-circular shape above and below the word. The squares appear to be pixelated, giving the image a digital or technological feel. The overall design is simple and clean, with a focus on the text and the surrounding pattern.

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#### 5.7 Performance Data

The following performance data were provided in support of the substantial equivalence determination.

The accuracy of the final 3D model generated by Segment 3DPrint is < 1 mm.

## Software Verification and Validation Testing

Software verification and validation testing were conducted and documented according to FDA's Guidance "Guidance for the Content of Premarket Submission for Software Contained in Medical Devices". It was concluded that Segment 3DPrint was considered to be of "moderate" level of concern. Extensive testing of the software package is performed by an automated test suite prior to commercial release. As a complement to this, manual testing is performed by Application specialists and the software is evaluated at one beta test site.

## Bench and Clinical Studies

The features for Segment 3DPrint have been clinically evaluated using bench and clinical studies. The studies are validation or application studies using established methods as reference standards, and were performed in Europe.

The device validation study validates digital models and 3D models from additive manufacturing (low force stereolithography), representative of the three different application areas. In total 12 models, representing the most complex structures and worst-case scenarios, were printed. The patient characteristics for the validation of the print accuracy included four females and eight males. Mean age was 26 ± 29 years, range 15 days - 79 years. Five cases were maxillofacial, three cases were orthopaedic, and four cases were cardiovascular. This yielded replicas with an accuracy of <1 mm, well suited for clinical use in all intended patient population groups.

Al bone segmentation algorithm was trained on 20 data sets, and 21 data sets were used for its validation. There was no overlap of data between the two sets, and care was taken to include a great variety of data (such as scanner model, image quality, and anatomy). The maximum 95th percentile surface distance between the ground truth segmentation and the resulting image was <1 mm.

The patient characteristics for the validation of the Al bone segmentation includes ten females, four males and seven of unknown sex. Mean age was 33 ± 26 years, range 15 days - 76 years. Table 1 below presents the agreement between reference segmentation by expert readers and the segmentation by the automatic segmentation algorithm.

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| Set | Dice | Jacc | Dist <br>[mm] | Dist<br>[mm] | 95th percentile<br>[mm] |
|------|------|------|----------------|--------------|-------------------------|
| Mean | 0.96 | 0.92 | 0.23 | 0.03 | - |
| SD | 0.03 | 0.05 | 0.18 | 0.26 | - |
| Max | - | - | - | - | 0.93 |

Table 1 - Dice is dice coefficient, Jacc is Jaccard score, IIDistII is mean±SD absolute distance, Dist is signed distance difference, and 95th is the 95th percentile of the absolute distance.

The results of the studies show that the values from the evaluated features in Segment 3DPrint were in good agreement with values from the reference method.

No adverse events, or complications, associated with the subject device were observed in the studies. Based on the clinical performance as documented in the performance studies, Segment 3DPrint was found to have a safety and effectiveness profile that is similar to the predicate device.

#### 5.8 Conclusion

We conclude that the subject device Segment 3DPrint is as safe and effective as the predicate device. All identified hazards for Segment 3DPrint have been mitigated to acceptable levels, and the overall residual risk evaluation concluded that the residual risk of Segment 3DPrint is acceptable. The risks associated with the use of Segment 3DPrint are acceptable when weighed against the benefits for the patient. Segment 3DPrint performs in accordance with its intended use as well as the predicate device. ldentical to the predicate device, Segment 3DPrint does not in any way alter the imaging data in the analytical process. Segment 3DPrint provides assistance to a medically trained professional and all of the information is subject to his/her oversight, control, and clinical judgement. Medviso AB considers the features of Segment 3DPrint to be substantially equivalent to the subset of features in the predicate device Mimics Medical.

MEDVISO AB Griffelvägen 3 SE-224 67 Lund, Sweden tel: [phone] www.medviso.com

Image /page/7/Picture/8 description: The image shows the word "MEDVISO" in a light blue sans-serif font. The word is surrounded by a pattern of small, light blue squares that form a semi-circular shape above and below the word. The squares are arranged in a grid-like pattern, and they appear to be pixelated. The overall effect is a modern and technological look.

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