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Computer enabled autofluorescence device for the diagnosis of breast lumps and determining completeness of surgical removal of breast tumours

Design and development of a machine learning enabled autofluorescence device for preoperative breast lump diagnosis and intraoperative breast tumor margin assessment - NIL

Status
Recruiting
Phases
Phase 2Phase 3
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2024/02/062338
Enrollment
100
Registered
2024-02-06
Start date
Unknown
Completion date
Unknown
Last updated
2025-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: D249- Benign neoplasm of unspecified breast Health Condition 2: C508- Malignant neoplasm of overlappingsites of breast

Interventions

Intervention1: Novel class C device to detect autofluorescence spectra from breast tissue: Breast lump or whole breast is excised during the Standard of Care surgery. A novel Class C device is passed

Sponsors

Indian Council of Medical Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Benign or malignant lump in the breast 2. Patients planned for surgical excision of lump (Lumpectomy and Wide Local Excision) or removal of the breast (Mastectomy)

Exclusion criteria

Exclusion criteria: 1. Patients below 18 years age 2. Male patients 3. Patients not willing or not planned for surgical excision of breast lump

Design outcomes

Primary

MeasureTime frame
Ability to differentiate autofluorescence spectral signatures of normal, benign and malignant tissues in the breast by using the novel investigational device in ex-vivo conditionTimepoint: 1 hour

Secondary

MeasureTime frame
Ability of a machine learning model to differentiate normal, benign and malignant spectral signatures obtained from the breast tissueTimepoint: 1 year

Countries

India

Contacts

Public ContactDr Badareesh L

Kasturba Medical College Manipal

stanley.mathew@manipal.edu9844409900

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026