SciTransfer
Spectra- BREAST · Project

AI-Powered Optical Tool for Real-Time Cancer Margin Detection During Surgery

healthPrototypeTRL 3

Imagine a high-tech scanner that acts like a digital magnifying glass for surgeons. Instead of waiting days for a lab to check if all the cancer was removed, this tool uses light and AI to spot remaining tumor cells in under 5 minutes. It's like having a real-time map that tells the doctor exactly where to cut to ensure the patient doesn't need a second surgery.

By the numbers
20%
Breast cancer patients requiring second operation
5 minutes
Time to assess entire resected specimen
2 mm
Maximum tumor detection depth
95%
Target sensitivity and specificity
The business problem

What needed solving

20% of breast cancer patients undergo unnecessary second surgeries because current margin checks take several days. This increases healthcare costs and patient trauma.

The solution

What was built

The project is developing an HSI imaging setup, a fiber-optic Raman system, and a pre-trained AI data analysis pipeline.

Audience

Who needs this

Surgical robotics companiesMedical imaging device manufacturersOncology surgical centersAI-driven diagnostic software firms
Business applications

Who can put this to work

Medical Device Manufacturing
enterprise
Target: Surgical imaging equipment provider

If you are a surgical imaging equipment provider dealing with the slow turnaround of traditional pathology — this project developed a multimodal optical system that provides feedback on resection margins in less than 5 minutes.

Robotic Surgery
mid-size
Target: Surgical robotics developer

If you are a surgical robotics developer dealing with the lack of real-time tissue differentiation — this project developed an AI-integrated optical tool that can be adapted for robotic/laparoscopic surgery to identify tumors up to 2 mm deep.

Healthcare Providers
any
Target: Private oncology clinic network

If you are a private oncology clinic network dealing with the 20% of breast cancer patients requiring second operations — this project developed a tool to increase sensitivity and specificity to over 95%, reducing hospital stays and complications.

Frequently asked

Quick answers

What is the cost or price of the system?

Based on available project data, the specific cost or price of the tool is not mentioned.

Can this be scaled for industrial production?

The project includes 3 industrial partners and 2 SMEs, suggesting a focus on moving the technology toward industrial application.

What is the IP or licensing status?

Based on available project data, there is no specific information regarding patents or licensing agreements.

How does it integrate into current surgical workflows?

It is designed as an intraoperative tool providing actionable feedback in less than 5 minutes, replacing or supplementing the days-long wait for postoperative histopathological analysis.

What is the timeline for clinical availability?

The project period runs from 2024-12-01 to 2028-11-30, with initial technical deliveries expected at M18.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring a 50% industry ratio with 3 industrial partners and 2 SMEs. With 6 partners across 3 countries (IT, ES, NL), the group combines clinical leadership from the coordinator (Maugeri) with technical and industrial expertise, reducing the gap between research and market entry.

How to reach the team

Contact Istituti Clinici Scientifici Maugeri S.p.A.

Next steps

Talk to the team behind this work.

Contact us to track the M18 delivery of the HSI and Raman prototypes.

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