482 Participants Needed

Wide Field OCT + AI for Breast Cancer Surgery

(RCT Trial)

Recruiting at 11 trial locations
DR
SB
Overseen BySarah Butler, PhD
Age: 18+
Sex: Female
Trial Phase: Academic
Sponsor: Perimeter Medical Imaging
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

Trial Summary

What is the purpose of this trial?

This trial tests the SELENE system, a new tool used during breast cancer surgery. It aims to help surgeons make sure they remove all cancerous tissue. The study focuses on patients having breast lumpectomies to reduce the chances of leaving any cancer behind.

Will I have to stop taking my current medications?

The trial protocol does not specify whether you need to stop taking your current medications. However, it mentions that participants may have been treated with certain therapies before joining the study, so it's best to discuss your specific medications with the trial team.

What data supports the effectiveness of the treatment SELENE System in the clinical trial 'Wide Field OCT + AI for Breast Cancer Surgery'?

Research shows that using optical coherence tomography (OCT) with artificial intelligence (AI) can accurately differentiate between healthy and cancerous breast tissues during surgery, with accuracy rates as high as 96.7% in some studies. This suggests that the SELENE System, which likely uses similar technology, could be effective in improving breast cancer surgery outcomes by helping surgeons identify cancerous tissues more precisely.12345

Is the Wide Field OCT + AI system safe for use in humans?

The studies on optical coherence tomography (OCT) systems, including those for breast cancer surgery, suggest that they are generally safe for human use. These systems have been used in various studies to provide real-time imaging during surgery, and no safety concerns have been reported in the research provided.12678

How does the Wide Field OCT + AI treatment for breast cancer surgery differ from other treatments?

The Wide Field OCT + AI treatment is unique because it uses optical coherence tomography (OCT) combined with artificial intelligence to provide real-time imaging and analysis during breast cancer surgery. This approach helps surgeons accurately identify cancerous tissue and differentiate it from healthy tissue, potentially improving surgical outcomes by ensuring more precise removal of tumors.125910

Eligibility Criteria

This trial is for women aged 18 or older with Stage 0-III invasive ductal and/or ductal carcinoma in situ undergoing breast conservation surgery. It's open to those who may have had neo-adjuvant therapy. Exclusions include lactating women, bilateral disease, damaged specimen margins, lobular carcinoma as primary diagnosis, previous ipsilateral breast surgery, multicentric disease not resected in one piece, other investigational studies participation, metastatic cancer (Stage IV), current pregnancy or being male.

Inclusion Criteria

I may have had hormone or chemotherapy before surgery, but it's not a must for joining.
Ability to understand and the willingness to sign a written informed consent document
I am female.
See 2 more

Exclusion Criteria

My cancer has spread to other parts of my body.
My biopsy sample was damaged before it could be imaged.
I had breast surgery or implants within the last two years.
See 8 more

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants undergo breast lumpectomy with either standard intraoperative margin assessment or additional imaging with the SELENE system

1 day (surgery)
1 visit (in-person)

Follow-up

Participants are monitored for safety and effectiveness after surgery, including pathology report finalization and patient-reported outcomes

4-12 weeks
2-3 visits (in-person)

Treatment Details

Interventions

  • SELENE System
Trial OverviewThe study tests the SELENE system's effectiveness alongside standard intraoperative margin assessment to reduce unaddressed positive margins during lumpectomy procedures for breast cancer. This multi-center trial randomly assigns participants into two groups: one using SELENE plus standard care and another receiving only standard care.
Participant Groups
2Treatment groups
Experimental Treatment
Active Control
Group I: DeviceExperimental Treatment1 Intervention
Imaging of all margins with investigational device
Group II: Standard of CareActive Control1 Intervention
Lumpectomy with usual intraoperative margin assessment

Find a Clinic Near You

Who Is Running the Clinical Trial?

Perimeter Medical Imaging

Lead Sponsor

Trials
3
Recruited
740+

Cancer Prevention Research Institute of Texas

Collaborator

Trials
55
Recruited
98,900+

Proxima Clinical Research

Collaborator

Trials
3
Recruited
580+

Biostatistical Consulting, Inc.

Collaborator

Trials
3
Recruited
750+

Proxima CRO

Industry Sponsor

Trials
5
Recruited
830+

References

Complementary use of polarization-sensitive and standard OCT metrics for enhanced intraoperative differentiation of breast cancer. [2020]
Classifying breast cancer in ultrahigh-resolution optical coherence tomography images using convolutional neural networks. [2022]
Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography. [2021]
4.Russia (Federation)pubmed.ncbi.nlm.nih.gov
Multimodal Optical Coherence Tomography for Intraoperative Evaluation of Tumor Margins and Surgical Margins in Breast-Conserving Surgery. [2023]
Extravascular optical coherence tomography of cerebral vessel walls in vivo. [2023]
Real-time Imaging of the Resection Bed Using a Handheld Probe to Reduce Incidence of Microscopic Positive Margins in Cancer Surgery. [2018]
Intraoperative evaluation of breast tumor margins with optical coherence tomography. [2021]
Detection of breast surgical margins with optical coherence tomography imaging: a concept evaluation study. [2019]
Delineating breast ductal carcinoma using combined dye-enhanced wide-field polarization imaging and optical coherence tomography. [2013]
Intraoperative application of optical coherence tomography for lung tumor. [2023]