Actively Recruiting
Spectral Cancer Tissue Recognition - I
Led by SPCTR · Updated on 2026-03-09
100
Participants Needed
2
Research Sites
28 weeks
Total Duration
On this page
Sponsors
S
SPCTR
Lead Sponsor
U
UMC Utrecht
Collaborating Sponsor
AI-Summary
What this Trial Is About
This analytical performance study aims to validate the SPCTRone system for use in breast conserving surgery of breast cancer patients. By collecting spectral biomarkers and correlating these with the golden standard of histopathological assessment by a pathologist, we aim to train and optimize an AI model that is able to achieve the following outcomes with classifying tissues: * Sensitivity (percentage of classified positive margins of actual positive margins): ≥ 96% CI 95.5-97.5% * Specificity (percentage of classified free margins of actual free margins): 96% CI 95.5-97.5% * Accuracy (total correctly classified margins): ≥ 96% CI 95.5-97.5% * Negative predictive value (amount of true negative - free margins - among the classified negative margins): ≥ 95% CI 94.5-96.5%
CONDITIONS
Official Title
Spectral Cancer Tissue Recognition - I
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 18 years or older
- Confirmed diagnosis of breast cancer requiring surgery
- Planned for breast conserving surgery
You will not qualify if you...
- Undergoing breast amputation without confirmed cancer diagnosis
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Martini Ziekenhuis
Groningen, Provincie Groningen, Netherlands, 9728NT
Actively Recruiting
2
UMC Utrecht
Utrecht, Utrecht, Netherlands, 3584CX
Not Yet Recruiting
Research Team
R
Robin Merjenburgh
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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