PhantomMSK Trauma
OrthoGrid Systems Inc. • Radiology • 12/07/2019
Device Purpose
PhantomMSK Trauma is an image-processing software intended to enhance the accuracy of orthopedic trauma component placement by providing intraoperative fluoroscopic image analysis tools, including templating, measurement, and distortion correction. The system utilizes a radiopaque calibration array with C-arm imaging to calculate and correct fluoroscopic distortions, thereby aiding surgeons in assessing implant and anatomical alignment during procedures.
Summary
PhantomMSK Trauma is an image-processing software system designed to aid surgeons in the precise positioning of orthopedic trauma components during operations. It functions by analyzing fluoroscopic images acquired from a C-arm, offering tools for templating, measurement, and correcting image distortion. The system is software-based and operates on standard 'commercial off-the-shelf' computer hardware, interfacing with fluoroscopic images displayed outside the sterile field for the surgeon's discretionary use. It is not intended for primary image interpretation and requires clinical judgment for proper use. The scientific basis of the device includes a method to address fluoroscopic distortion, which can be caused by external electromagnetic interference and the inherent characteristics of mapping a planar image onto a curved input phosphor. PhantomMSK Trauma employs software algorithms in conjunction with a proprietary radiopaque calibration array, which attaches to the C-arm's image intensifier, to calculate and correct these distortions. Verification and validation testing, performed at both code and system levels using specific C-arm models (GE OEC 9900 and 9800) and defined image intensifier sizes, confirmed that its templating, measurement, and distortion correction tools performed as intended and met established acceptability criteria.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What is the quantifiable improvement in surgical precision (e.g., alignment accuracy, screw placement) when using PhantomMSK Trauma's distortion correction compared to standard fluoroscopy?; How does the system's performance, particularly distortion correction accuracy, vary across different C-arm models and ages, beyond the specific GE OEC models tested?; What is the typical learning curve for a surgeon to become proficient in utilizing all the features of PhantomMSK Trauma, especially for complex trauma cases?; Are there any studies comparing the operative time or patient outcomes for procedures performed with PhantomMSK Trauma versus those without?; How does the radiopaque calibration array affect the overall workflow and imaging time during a typical orthopedic trauma procedure?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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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.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
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 ML-BOM, HBOM 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, SaaSBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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