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Molecular imaging and validation of margins in surgically excised nonmelanoma skin cancer specimens.
Liu, Yiqiao; Walker, Ethan; Iyer, Sukanya Raj; Biro, Mark; Kim, InYoung; Zhou, Bo; Straight, Brian; Bogyo, Matthew; Basilion, James P; Popkin, Daniel L; Wilson, David L.
Afiliação
  • Liu Y; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Walker E; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Iyer SR; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Biro M; Case Western Reserve University, School of Medicine, Cleveland, Ohio, United States.
  • Kim I; Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio, United States.
  • Zhou B; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Straight B; Akrotome Imaging Inc., BioEnterprise, Cleveland, Ohio, United States.
  • Bogyo M; Stanford University, Department of Pathology, Stanford, California, United States.
  • Basilion JP; Stanford University, Department of Microbiology and Immunology, Stanford, California, United States.
  • Popkin DL; Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio, United States.
  • Wilson DL; Case Western Reserve University, Department of Radiology, Cleveland, Ohio, United States.
J Med Imaging (Bellingham) ; 6(1): 016001, 2019 Jan.
Article em En | MEDLINE | ID: mdl-30915384
ABSTRACT
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 µ m , which when extrapolated with a linear stretch model, suggests an error at the margin of ∼ 100 µ m , 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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: J Med Imaging (Bellingham) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: J Med Imaging (Bellingham) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos