Molecular imaging and validation of non-melanoma skin cancer margins

Liu, Yiqiao; Walker, Ethan; Kim, In-Young; Biro, Mark; Iyer, Sukanya Raj; Zhou, Bo; Bogyo, Matthew; Basilion, James P.; Popkin, Daniel L.; Wilson, David L.

doi:10.1117/12.2293847

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“…We have developed a point-of-care imaging method to assess the margins of excised skin cancer perioperatively, 17 which uses a quenched fluorescent activity-based probe cleaved in the presence of cathepsin that is overexpressed in NMSC. [18][19][20] The previous results of this method have been encouraging, as topical application of the quenched fluorescent activity-based probe GB119 detected cancer-associated cathepsin protease activity 21 from the dermal side of debulked NMSC tissue with 99% sensitivity and 89% specificity.…”

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confidence: 99%

Molecular imaging and validation of margins in surgically excised nonmelanoma skin cancer specimens

et al. 2019

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In an effort to increase the efficiency and cure rate of nonmelanoma skin cancer (NMSC) excisions, we have developed a point-of-care method of imaging and evaluation of skin cancer margins. We evaluate the skin surgical specimens using a smart, near-infrared probe (6qcNIR) that fluoresces in the presence of cathepsin proteases overexpressed in NMSC. Imaging is done with an inverted, flying-spot fluorescence scanner that reduces scatter, giving a 70% improved step response as compared to a conventional imaging system. We develop a scheme for careful comparison of fluorescent signals to histological annotation, which involves image segmentation, fiducial-based registration, and nonrigid free-form deformation on fluorescence images, corresponding color images, "bread-loafed" tissue images, hematoxylin and eosin (H&E)-stained slides, and pathological annotations. From epidermal landmarks, spatial accuracy in the bulk of the sample is ∼500 μm, which when extrapolated with a linear stretch model, suggests an error at the margin of ∼100 μm, within clinical reporting standards. Cancer annotations on H&E slides are transformed and superimposed on the fluorescence images to generate the final results. Using this methodology, fluorescence cancer signals are generally found to correspond spatially with histological annotations. This method will allow us to accurately analyze molecular probes for imaging skin cancer margins.

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