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UNiD Spine Analyzer

Medicrea International • Radiology • 02/08/2018

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The UNiD Spine Analyzer is a medical imaging software designed to enhance orthopedic surgical planning by providing tools for viewing, measuring images, and planning procedures, particularly for anatomical assessment related to surgical implants. Its methodology incorporates an integrated database of standard and customizable surgical implants, aiming to facilitate more precise pre-operative selection and design of patient-specific solutions for spinal surgeries.

Summary

The UNiD Spine Analyzer is a software tool intended to assist healthcare professionals in viewing, measuring medical images, and planning orthopedic surgeries. It enables surgeons and service providers to perform both generic and spine-specific measurements on images, facilitating the planning of surgical procedures, including the measurement of anatomical components for the placement of surgical implants. The effective use of this software requires clinical judgment and experience from the healthcare professional. A key update to this device is the incorporation of a "Data base of implants," which allows users to draw various implants such as cages, screws, and rods from Medicrea International’s cleared implant catalog. Additionally, the software supports the design of custom-made implants tailored to individual patient anatomy. This enhancement aims to improve pre-operative planning by integrating implant selection and customization, offering these functionalities on both Windows and Mac operating systems with local image input and server-based operation.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

UNiD Spine AnalyzerOrthopedic surgerySurgical planningImage measurementSpine measurementsSurgical implantsCustom implantsImplant databasePre-operative planningMedical imaging software

Device Metadata

Submission Number
K180091
Company
Medicrea International
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Intervention
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the "Data base of implants" feature integrate with the custom implant design workflow, and what validation processes ensure the accuracy of patient-specific implant parameters generated by the software?; What specific image modalities (e.g., CT, MRI, X-ray) does the UNiD Spine Analyzer support, and how does it account for potential variations in image quality or calibration when performing measurements?; Are there comparative studies evaluating surgical planning time, accuracy, or patient outcomes when using the UNiD Spine Analyzer with the implant database versus previous versions or traditional planning methods?; What are the limitations of the software's measurement tools when applied to complex spinal deformities, and how does the system guide users to mitigate potential inaccuracies in implant sizing or placement planning?; Considering the software's 'moderate level of concern,' what specific software verification and validation activities were performed to address risks associated with the implant database and custom implant design features, particularly regarding potential errors in implant selection or geometric representation?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score5/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials
- Not detected
SaaSBOMSoftware-as-a-Service Bill of Materials(server)
✓ Detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of SaaSBOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, ML-BOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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UNiD Spine Analyzer - Medicrea International | ESL FDA AI Device Intelligence