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Quantib Prostate

Quantib BV • Radiology • 10/11/2020

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

Quantib Prostate is a medical image post-processing software designed to enhance the analysis of prostate MRI studies by providing tools for semi-automatic segmentation, multiparametric image viewing (including a combined biparametric view), and quantitative measurements like volume and PSA density. Its methodology relies on processing DICOM MRI data through automated algorithms and interactive user modules, aiming to assist clinicians in lesion analysis and PI-RADS scoring, with performance validated through non-clinical and clinical testing showing improved or equivalent segmentation accuracy.

Summary

Quantib Prostate is an image post-processing software designed to assist trained medical professionals in the analysis and interpretation of prostate MRI images. It functions as an extension to the Quantib AI Node software platform, employing modules for automatic processing (including prostate segmentation and multi-parametric MRI image registration) and user interaction (allowing for editing of segmentations, PSA density determination, lesion analysis, and PI-RADS scoring). The system processes DICOM-compatible MRI data (T2-weighted, DWI, ADC, DCE scans) and utilizes semi-automatic segmentation algorithms. Key scientific aspects include registered multiparametric MRI viewing, the option to create a biparametric combination image from multiple sequences via a mathematical operation, and tools for quantitative measurements such as volume computations and average ADC values within regions of interest. The software provides functionalities for visualization, editing, and mathematical/statistical analysis of prostate MR datasets, with outputs including prostate gland volume, PSA density, and detailed information for regions of interest (volume, average ADC value, PI-RADS score, location). Results can be displayed as images overlaid onto source MRIs. Non-clinical bench testing confirmed system functionality and characterized the performance of its prostate segmentation algorithm, highlighting its limitations to guide user review. Clinical performance testing demonstrated that medical professionals using Quantib Prostate achieved equivalent or improved performance in prostate segmentation tasks compared to not using the software. The system is designed to support, but not replace, clinical judgment in diagnosis.

AI Regulatory Concerns

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Keywords

Prostate MRIImage post-processingSemi-automatic segmentationMultiparametric MRIPI-RADS scoringVolume computationDICOMLesion analysisPSA densityClinical decision support

Device Metadata

Submission Number
K202501
Company
Quantib BV
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the 'biparametric combination image' mathematically integrate information from different MRI sequences, and what is the specific clinical utility or diagnostic advantage of this combined view over viewing individual multiparametric sequences?; What were the specific performance metrics (e.g., Dice similarity coefficient, sensitivity, specificity) for the semi-automatic prostate segmentation algorithm in both the stand-alone bench tests and the clinical use context after clinician editing?; The document states PI-RADS scoring is 'possible using a structured workflow.' Does the software automate any part of the PI-RADS component scoring, or does it primarily serve as a data organization and reporting tool for manually assigned scores?; How does the software's performance in prostate segmentation and lesion analysis vary with different MRI scanner vendors, field strengths, or acquisition protocols, given it requires T2-weighted, DWI, ADC, and DCE sequences?; What specific usability engineering (IEC 62366) findings influenced the design of the user-interaction modules, particularly concerning the editing of segmentations and the workflow for lesion analysis?

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 Score10/100
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(algorithm, dataset)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(platform)
✓ 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 ML-BOM, 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, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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Quantib Prostate - Quantib BV | ESL FDA AI Device Intelligence