Spectral tissue recognition for detecting cancer at breast lumpectomy margins
Official title: Explorative, Multi-centre, Prospective, Observational Study Evaluating the Feasibility of the SPCTR Prototype for Margin Assessment During Breast Conserving Surgery in Breast Cancer Patients.
Run by Spctr · NCT07459062 · Data updated 2026-11-12
This project will test whether a handheld spectral device with AI can tell cancerous from healthy breast tissue during breast-conserving surgery in adults with confirmed breast cancer.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 100 (estimated) |
| Sponsor | Spctr Industry-sponsored |
| Locations | 2 sites (Groningen, Provincie Groningen and 1 other locations) |
| Status | Recruiting |
| Started | January 12, 2026 |
| Main results expected | August 1, 2026 |
| Study ends | August 1, 2026 |
| Registry record updated | March 9, 2026 |
| Trial ID | NCT07459062 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (age ≥18) with a confirmed diagnosis of breast cancer who are scheduled for breast-conserving surgery at a participating center are ideal candidates.
✕Probably not a fit
People having mastectomy (breast removal) or those without a confirmed cancer diagnosis are not expected to benefit from this protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational analytical performance project collects spectral biomarkers from excised breast tissue during breast-conserving surgery and links those measurements to the gold standard of histopathology read by a pathologist. The collected spectra and matched pathology labels will be used to train and optimize an AI classification model to identify positive versus free surgical margins. The team aims for very high performance metrics (sensitivity, specificity, accuracy ≥96% and negative predictive value ≥95%) and will report confidence intervals for each metric. The work is conducted at two Dutch hospitals and does not change routine patient care beyond additional tissue measurements.
Why it matters
Potential benefit: If successful, the device could help surgeons identify positive margins during lumpectomy and reduce the need for repeat surgeries.
How similar studies have gone: Related optical spectroscopy and AI approaches for margin detection have shown promising but variable results in pilot studies, so the approach is plausible but not yet standard of care.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥18 years * Confirmed diagnosis breast cancer for which surgical procedure is needed * Planned for breast conserving surgery Exclusion Criteria: * Person that undergoes breast amputation without confirmed cancer diagnosis
Where it's running
-
Martini Ziekenhuis
Groningen, Provincie Groningen, Netherlands Recruiting -
UMC Utrecht
Utrecht, Utrecht, Netherlands Not yet recruiting
Study contacts
- Study coordinator: Robin Merjenburgh
- Email: robin@spctr.tech
- Phone: +31681119503
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.