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Simultaneous multiplane imaging of human ovarian cancer by volume holographic imaging.
Orsinger, Gabriel V; Watson, Jennifer M; Gordon, Michael; Nymeyer, Ariel C; de Leon, Erich E; Brownlee, Johnathan W; Hatch, Kenneth D; Chambers, Setsuko K; Barton, Jennifer K; Kostuk, Raymond K; Romanowski, Marek.
Afiliação
  • Orsinger GV; University of Arizona, Department of Biomedical Engineering, Tucson, Arizona 85719.
  • Watson JM; University of Arizona, Department of Biomedical Engineering, Tucson, Arizona 85719.
  • Gordon M; University of Arizona, Department of Optical Sciences, Tucson, Arizona 85721.
  • Nymeyer AC; University of Arizona, Department of Biomedical Engineering, Tucson, Arizona 85719.
  • de Leon EE; University of Arizona, Department of Optical Sciences, Tucson, Arizona 85721.
  • Brownlee JW; University of Arizona, Department of Optical Sciences, Tucson, Arizona 85721.
  • Hatch KD; University of Arizona, College of Medicine, Department of Obstetrics and Gynecology, Tucson, Arizona 85724.
  • Chambers SK; University of Arizona, College of Medicine, Department of Obstetrics and Gynecology, Tucson, Arizona 85724.
  • Barton JK; University of Arizona, Department of Biomedical Engineering, Tucson, Arizona 85719bUniversity of Arizona, Department of Optical Sciences, Tucson, Arizona 85721dUniversity of Arizona, Electrical and Computer Engineering Department, Tucson, Arizona 85721.
  • Kostuk RK; University of Arizona, Department of Optical Sciences, Tucson, Arizona 85721dUniversity of Arizona, Electrical and Computer Engineering Department, Tucson, Arizona 85721.
  • Romanowski M; University of Arizona, Department of Biomedical Engineering, Tucson, Arizona 85719.
J Biomed Opt ; 19(3): 36020, 2014 Mar.
Article em En | MEDLINE | ID: mdl-24676382
ABSTRACT
Ovarian cancer is the most deadly gynecologic cancer, a fact which is attributable to poor early detection and survival once the disease has reached advanced stages. Intraoperative laparoscopic volume holographic imaging has the potential to provide simultaneous visualization of surface and subsurface structures in ovarian tissues for improved assessment of developing ovarian cancer. In this ex vivo ovarian tissue study, we assembled a benchtop volume holographic imaging system (VHIS) to characterize the microarchitecture of 78 normal and 40 abnormal tissue specimens derived from ovarian, fallopian tube, uterine, and peritoneal tissues, collected from 26 patients aged 22 to 73 undergoing bilateral salpingo-oophorectomy, hysterectomy with bilateral salpingo-oophorectomy, or abdominal cytoreductive surgery. All tissues were successfully imaged with the VHIS in both reflectance- and fluorescence-modes revealing morphological features which can be used to distinguish between normal, benign abnormalities, and cancerous tissues. We present the development and successful application of VHIS for imaging human ovarian tissue. Comparison of VHIS images with corresponding histopathology allowed for qualitatively distinguishing microstructural features unique to the studied tissue type and disease state. These results motivate the development of a laparoscopic VHIS for evaluating the surface and subsurface morphological alterations in ovarian cancer pathogenesis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Processamento de Imagem Assistida por Computador / Holografia / Imagem Óptica / Histocitoquímica Tipo de estudo: Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Processamento de Imagem Assistida por Computador / Holografia / Imagem Óptica / Histocitoquímica Tipo de estudo: Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2014 Tipo de documento: Article