Literature DB >> 25798444

Diagnostic potential of multimodal imaging of ovarian tissue using optical coherence tomography and second-harmonic generation microscopy.

Weston A Welge1, Andrew T DeMarco2, Jennifer M Watson3, Photini S Rice4, Jennifer K Barton5, Matthew A Kupinski6.   

Abstract

Ovarian cancer is particularly deadly because it is usually diagnosed after it has metastasized. We have previously identified features of ovarian cancer using optical coherence tomography (OCT) and second-harmonic generation (SHG) microscopy (targeting collagen). OCT provides an image of the ovarian microstructure while SHG provides a high-resolution map of collagen fiber bundle arrangement. Here we investigated the diagnostic potential of dual-modality OCT and SHG imaging. We conducted a fully crossed, multi-reader, multi-case study using seven human observers. Each observer classified 44 ex vivo mouse ovaries (16 normal and 28 abnormal) as normal or abnormal from OCT, SHG, and simultaneously viewed, co-registered OCT and SHG images and provided a confidence rating on a six-point scale. We determined the average receiver operating characteristic (ROC) curves, area under the ROC curves (AUC), and other quantitative figures of merit. The results show that OCT has diagnostic potential with an average AUC of 0.91 ± 0.06. The average AUC for SHG was less promising at 0.71 ± 0.13. The average AUC for simultaneous OCT and SHG was not significantly different from OCT alone, possibly due to the limited SHG field of view. The high performance of OCT and co-registered OCT and SHG warrants further investigation.

Entities:  

Keywords:  image quality; multimodal imaging; optical coherence tomography; ovarian cancer; second harmonic generation

Year:  2014        PMID: 25798444      PMCID: PMC4365797          DOI: 10.1117/1.JMI.1.2.025501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  26 in total

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4.  Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis.

Authors:  Stephen L Hillis; Kevin S Berbaum; Charles E Metz
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5.  Characterization of ovarian tissue based on quantitative analysis of photoacoustic microscopy images.

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Authors:  C Pitris; A Goodman; S A Boppart; J J Libus; J G Fujimoto; M E Brezinski
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8.  In vivo time-serial multi-modality optical imaging in a mouse model of ovarian tumorigenesis.

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Review 9.  Pathogenesis of ovarian cancer: lessons from morphology and molecular biology and their clinical implications.

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  6 in total

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Authors:  Travis W Sawyer; Swati Chandra; Photini F S Rice; Jennifer W Koevary; Jennifer K Barton
Journal:  Phys Med Biol       Date:  2018-12-04       Impact factor: 3.609

2.  Dual-modality endomicroscopy with co-registered fluorescence and phase contrast.

Authors:  C Ba; M Palmiere; J Ritt; J Mertz
Journal:  Biomed Opt Express       Date:  2016-08-10       Impact factor: 3.732

3.  Fluorescence and Multiphoton Imaging for Tissue Characterization of a Model of Postmenopausal Ovarian Cancer.

Authors:  Travis W Sawyer; Jennifer W Koevary; Caitlin C Howard; Olivia J Austin; Photini F S Rice; Gabrielle V Hutchens; Setsuko K Chambers; Denise C Connolly; Jennifer K Barton
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4.  Quantification of multiphoton and fluorescence images of reproductive tissues from a mouse ovarian cancer model shows promise for early disease detection.

Authors:  Travis W Sawyer; Jennifer W Koevary; Faith P S Rice; Caitlin C Howard; Olivia J Austin; Denise C Connolly; Kathy Q Cai; Jennifer K Barton
Journal:  J Biomed Opt       Date:  2019-09       Impact factor: 3.170

5.  Ovarian cancer detection using optical coherence tomography and convolutional neural networks.

Authors:  David Schwartz; Travis W Sawyer; Noah Thurston; Jennifer Barton; Gregory Ditzler
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6.  Optical Resolution Photoacoustic Microscopy of Ovary and Fallopian Tube.

Authors:  Bin Rao; Xiandong Leng; Yifeng Zeng; Yixiao Lin; Ruimin Chen; Qifa Zhou; Andrea R Hagemann; Lindsay M Kuroki; Carolyn K McCourt; David G Mutch; Matthew A Powell; Ian S Hagemann; Quing Zhu
Journal:  Sci Rep       Date:  2019-10-04       Impact factor: 4.379

  6 in total

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