Literature DB >> 24165742

Feasibility of confocal fluorescence microscopy for real-time evaluation of neoplasia in fresh human breast tissue.

Jessica L Dobbs1, Hao Ding, Ana Paula Benveniste, Henry M Kuerer, Savitri Krishnamurthy, Wei Yang, Rebecca Richards-Kortum.   

Abstract

Breast cancer management could be improved by developing real-time imaging tools to assess tissue architecture without extensive processing. We sought to determine whether confocal fluorescence microscopy (CFM) provides sufficient information to identify neoplasia in breast tissue. Breast tissue specimens were imaged following proflavine application. Regions of interest (ROIs) were selected in histologic slides and in the corresponding region on confocal images, and then divided into sets for training and validation. Readers reviewed images in the training set and evaluated images in the validation set for the presence of neoplasia. Accuracy was assessed using histologic diagnosis as the gold standard. Seventy tissue specimens from 31 patients were imaged; 235 ROIs were identified and diagnosed as neoplastic or non-neoplastic. A training set was assembled using 23 matched ROIs; 49 matched ROIs were assembled into a validation set. Neoplasia was identified in histologic images: 93% sensitivity, 97% specificity [area under the curve (AUC=0.987)] and in confocal images: 93% sensitivity 93% specificity (AUC=0.957). CFM produced images of architectural features in breast tissue comparable with conventional histology, while requiring little processing. Potential applications include assessment of excised tissue margins and evaluation of tissue adequacy for bio-banking and genomic studies.

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Year:  2013        PMID: 24165742     DOI: 10.1117/1.JBO.18.10.106016

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  23 in total

1.  Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT.

Authors:  Xinwen Yao; Yu Gan; Ernest Chang; Hanina Hibshoosh; Sheldon Feldman; Christine Hendon
Journal:  Lasers Surg Med       Date:  2017-03-06       Impact factor: 4.025

2.  Detection of Head and Neck Cancer in Surgical Specimens Using Quantitative Hyperspectral Imaging.

Authors:  Guolan Lu; James V Little; Xu Wang; Hongzheng Zhang; Mihir R Patel; Christopher C Griffith; Mark W El-Deiry; Amy Y Chen; Baowei Fei
Journal:  Clin Cancer Res       Date:  2017-06-13       Impact factor: 12.531

3.  Rapid staining and imaging of subnuclear features to differentiate between malignant and benign breast tissues at a point-of-care setting.

Authors:  Jenna L Mueller; Jennifer E Gallagher; Rhea Chitalia; Marlee Krieger; Alaattin Erkanli; Rebecca M Willett; Joseph Geradts; Nimmi Ramanujam
Journal:  J Cancer Res Clin Oncol       Date:  2016-04-22       Impact factor: 4.553

4.  Direct comparison between confocal and multiphoton microscopy for rapid histopathological evaluation of unfixed human breast tissue.

Authors:  Tadayuki Yoshitake; Michael G Giacomelli; Lucas C Cahill; Daniel B Schmolze; Hilde Vardeh; Beverly E Faulkner-Jones; James L Connolly; James G Fujimoto
Journal:  J Biomed Opt       Date:  2016-12-01       Impact factor: 3.170

5.  A quantitative microscopic approach to predict local recurrence based on in vivo intraoperative imaging of sarcoma tumor margins.

Authors:  Jenna L Mueller; Henry L Fu; Jeffrey K Mito; Melodi J Whitley; Rhea Chitalia; Alaattin Erkanli; Leslie Dodd; Diana M Cardona; Joseph Geradts; Rebecca M Willett; David G Kirsch; Nimmi Ramanujam
Journal:  Int J Cancer       Date:  2015-06-03       Impact factor: 7.396

6.  Video-rate structured illumination microscopy for high-throughput imaging of large tissue areas.

Authors:  Tyler C Schlichenmeyer; Mei Wang; Katherine N Elfer; J Quincy Brown
Journal:  Biomed Opt Express       Date:  2014-01-07       Impact factor: 3.732

Review 7.  Types of advanced optical microscopy techniques for breast cancer research: a review.

Authors:  Aparna Dravid U; Nirmal Mazumder
Journal:  Lasers Med Sci       Date:  2018-10-11       Impact factor: 3.161

8.  Smartphone epifluorescence microscopy for cellular imaging of fresh tissue in low-resource settings.

Authors:  Wenbin Zhu; Giacomo Pirovano; Patrick K O'Neal; Cheng Gong; Nachiket Kulkarni; Christopher D Nguyen; Christian Brand; Thomas Reiner; Dongkyun Kang
Journal:  Biomed Opt Express       Date:  2019-12-06       Impact factor: 3.732

9.  Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction.

Authors:  Karl A Johnson; Guy M Hagen
Journal:  Gigascience       Date:  2020-04-01       Impact factor: 6.524

10.  High-Resolution Rapid Diagnostic Imaging of Whole Prostate Biopsies Using Video-Rate Fluorescence Structured Illumination Microscopy.

Authors:  Mei Wang; Hillary Z Kimbrell; Andrew B Sholl; David B Tulman; Katherine N Elfer; Tyler C Schlichenmeyer; Benjamin R Lee; Michelle Lacey; J Quincy Brown
Journal:  Cancer Res       Date:  2015-08-17       Impact factor: 12.701

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