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Quantitative multispectral ex vivo optical evaluation of human ovarian tissue using spatial frequency domain imaging.
Nandy, Sreyankar; Hagemann, Ian S; Powell, Matthew A; Siegel, Cary; Zhu, Quing.
Afiliación
  • Nandy S; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
  • Hagemann IS; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63130, USA.
  • Powell MA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Siegel C; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Zhu Q; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA.
Biomed Opt Express ; 9(5): 2451-2456, 2018 May 01.
Article en En | MEDLINE | ID: mdl-29761000
ABSTRACT
About 85-90% of all ovarian cancers are carcinomas; these manifest clinically as mass-forming epithelial proliferations involving the ovary. In this study, a visible light spatial frequency domain imaging (SFDI) system was used for multispectral ex vivo imaging and quantitative evaluation of freshly excised benign and malignant human ovarian tissues. A total of 14 ovaries from 11 patients undergoing oophorectomy were investigated. Using a logistic regression model with seven significant spectral and spatial features extracted from SFDI images, a sensitivity of 94.06% and specificity of 93.53% were achieved for prediction of histologically confirmed invasive carcinoma.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Opt Express Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Biomed Opt Express Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
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