Tissue texture extraction in indocyanine green fluorescence imaging for breast-conserving surgery

Author:

Leiloglou MariaORCID,Chalau VadzimORCID,Kedrzycki Martha SORCID,Thiruchelvam Paul,Darzi Ara,Leff Daniel R,Elson Daniel S

Abstract

Abstract A two-camera fluorescence system for indocyanine green (ICG) signal detection has been developed and tested in a clinical feasibility trial of ten patients, with a resolution in the submillimetre scale. Immediately after systemic ICG injection, the two-camera system can detect ICG signals in vivo (∼2.5 mg l 1 or 3.2 × 10 6 M). Qualitative assessment has shown that the fluorescence signal does not always correlate with the cancer location in the surgical scene. Conversely, fluorescence image texture metrics when used with the logistic regression model yields good accuracy scores in detecting cancer. We have demonstrated that intraoperative fluorescence imaging for resection guidance is a feasible solution to tackle the current challenge of positive resection margins in breast conserving surgery.

Funder

Greek Foundation for Education and European Culture

Engineering and Physical Sciences Research Council [EPSRC] Impact Acceleration Account scheme)

Imperial Confidence in Concept (ICiC) Joint Translational Fund (Imperial College’s Medical Research Council [MRC] Confidence in Concept fund

Cancer Research UK (CRUK) Imperial Centre

National Institute for Health Research (NIHR) Imperial Biomedical Research Centre

Publisher

IOP Publishing

Subject

Surfaces, Coatings and Films,Acoustics and Ultrasonics,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

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