Literature DB >> 28018734

Classification and analysis of human ovarian tissue using full field optical coherence tomography.

Sreyankar Nandy1, Melinda Sanders2, Quing Zhu1.   

Abstract

In this study, a full field optical coherence tomography (FFOCT) system was used to analyze and classify normal and malignant human ovarian tissue. 14 ovarian tissue samples (7 normal, 7 malignant) were imaged with the FFOCT system and five features were extracted by analyzing the normalized image histogram from 56 FFOCT images, based on the differences in the morphology of the normal and malignant tissue samples. A generalized linear model (GLM) classifier was trained using 36 images, and sensitivity of 95.3% and specificity of 91.1% was obtained. 20 images were used to test the model, and a sensitivity of 91.6% and specificity of 87.7% was obtained.

Entities:  

Keywords:  (110.4500) Optical coherence tomography; (170.1610) Clinical applications; (170.3890) Medical optics instrumentation; (170.4440) ObGyn; (170.6935) Tissue characterization

Year:  2016        PMID： 28018734      PMCID： PMC5175561          DOI： 10.1364/BOE.7.005182

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN： 2156-7085            Impact factor:   3.732


  25 in total

1.  High-resolution full-field optical coherence tomography with a Linnik microscope.

Authors:  Arnaud Dubois; Laurent Vabre; Alber-Claude Boccara; Emmanuel Beaurepaire
Journal:  Appl Opt       Date:  2002-02-01       Impact factor: 1.980

2.  Texture analysis of speckle in optical coherence tomography images of tissue phantoms.

Authors:  Kirk W Gossage; Cynthia M Smith; Elizabeth M Kanter; Lida P Hariri; Alice L Stone; Jeffrey J Rodriguez; Stuart K Williams; Jennifer K Barton
Journal:  Phys Med Biol       Date:  2006-03-01       Impact factor: 3.609

3.  Characterization of ovarian tissue based on quantitative analysis of photoacoustic microscopy images.

Authors:  Tianheng Wang; Yi Yang; Umar Alqasemi; Patrick D Kumavor; Xiaohong Wang; Melinda Sanders; Molly Brewer; Quing Zhu
Journal:  Biomed Opt Express       Date:  2013-11-06       Impact factor: 3.732

4.  Prostate cancer characterization on MR images using fractal features.

Authors:  R Lopes; A Ayache; N Makni; P Puech; A Villers; S Mordon; N Betrouni
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

5.  Computer-aided diagnosis applied to US of solid breast nodules by using neural networks.

Authors:  D R Chen; R F Chang; Y L Huang
Journal:  Radiology       Date:  1999-11       Impact factor: 11.105

6.  Characterization of breast cancer types by texture analysis of magnetic resonance images.

Authors:  Kirsi Holli; Anna-Leena Lääperi; Lara Harrison; Tiina Luukkaala; Terttu Toivonen; Pertti Ryymin; Prasun Dastidar; Seppo Soimakallio; Hannu Eskola
Journal:  Acad Radiol       Date:  2009-11-27       Impact factor: 3.173

7.  Recognition algorithm for assisting ovarian cancer diagnosis from coregistered ultrasound and photoacoustic images: ex vivo study.

Authors:  Umar Alqasemi; Patrick Kumavor; Andres Aguirre; Quing Zhu
Journal:  J Biomed Opt       Date:  2012-12       Impact factor: 3.170

8.  Noninvasive Detection of Metastases and Follicle Density in Ovarian Tissue Using Full-Field Optical Coherence Tomography.

Authors:  Inge T A Peters; Paulien L Stegehuis; Ronald Peek; Florine L Boer; Erik W van Zwet; Jeroen Eggermont; Johan R Westphal; Peter J K Kuppen; J Baptist Trimbos; Carina G J M Hilders; Boudewijn P F Lelieveldt; Cornelis J H van de Velde; Tjalling Bosse; Jouke Dijkstra; Alexander L Vahrmeijer
Journal:  Clin Cancer Res       Date:  2016-05-16       Impact factor: 12.531

9.  In vivo imaging of ovarian tissue using a novel confocal microlaparoscope.

Authors:  Anthony A Tanbakuchi; Joshua A Udovich; Andrew R Rouse; Kenneth D Hatch; Arthur F Gmitro
Journal:  Am J Obstet Gynecol       Date:  2009-10-03       Impact factor: 8.661

10.  Large field, high resolution full-field optical coherence tomography: a pre-clinical study of human breast tissue and cancer assessment.

Authors:  Osnath Assayag; Martine Antoine; Brigitte Sigal-Zafrani; Michael Riben; Fabrice Harms; Adriano Burcheri; Kate Grieve; Eugénie Dalimier; Bertrand Le Conte de Poly; Claude Boccara
Journal:  Technol Cancer Res Treat       Date:  2013-08-31
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  9 in total

1.  MRI-based radiomics model can improve the predictive performance of postlaminar optic nerve invasion in retinoblastoma.

Authors:  Zhenzhen Li; Jian Guo; Xiaolin Xu; Wenbin Wei; Junfang Xian
Journal:  Br J Radiol       Date:  2021-12-03       Impact factor: 3.039

Review 2.  Methods and applications of full-field optical coherence tomography: a review.

Authors:  Ling Wang; Rongzhen Fu; Chen Xu; Mingen Xu
Journal:  J Biomed Opt       Date:  2022-05       Impact factor: 3.758

3.  Quantitative multispectral ex vivo optical evaluation of human ovarian tissue using spatial frequency domain imaging.

Authors:  Sreyankar Nandy; Ian S Hagemann; Matthew A Powell; Cary Siegel; Quing Zhu
Journal:  Biomed Opt Express       Date:  2018-04-30       Impact factor: 3.732

4.  Dimension reduction technique using a multilayered descriptor for high-precision classification of ovarian cancer tissue using optical coherence tomography: a feasibility study.

Authors:  Catherine St-Pierre; Wendy-Julie Madore; Etienne De Montigny; Dominique Trudel; Caroline Boudoux; Nicolas Godbout; Anne-Marie Mes-Masson; Kurosh Rahimi; Frédéric Leblond
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-12

5.  The clinical usefulness of optical coherence tomography during cancer interventions.

Authors:  Labrinus van Manen; Jouke Dijkstra; Claude Boccara; Emilie Benoit; Alexander L Vahrmeijer; Michalina J Gora; J Sven D Mieog
Journal:  J Cancer Res Clin Oncol       Date:  2018-06-20       Impact factor: 4.553

6.  Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm.

Authors:  Ming Ding; Shi-Yu Pan; Jing Huang; Cheng Yuan; Qiang Zhang; Xiao-Li Zhu; Yan Cai
Journal:  PLoS One       Date:  2021-12-31       Impact factor: 3.240

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

Authors:  David Schwartz; Travis W Sawyer; Noah Thurston; Jennifer Barton; Gregory Ditzler
Journal:  Neural Comput Appl       Date:  2022-01-24       Impact factor: 5.102

8.  High-resolution microscopy for imaging cancer pathobiology.

Authors:  Yang Liu; Jianquan Xu
Journal:  Curr Pathobiol Rep       Date:  2019-07-11

9.  Preliminary human application of optical coherence tomography for quantification and localization of primordial follicles aimed at effective ovarian tissue transplantation.

Authors:  Seido Takae; Kosuke Tsukada; Ichiro Maeda; Naoki Okamoto; Yorino Sato; Haruhiro Kondo; Kiemi Shinya; Yuki Motani; Nao Suzuki
Journal:  J Assist Reprod Genet       Date:  2018-04-02       Impact factor: 3.412
  9 in total

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