Literature DB >> 32562330

Evaluating optical coherence tomography for surgical margin assessment of canine mammary tumours.

Carolina Fabelo1, Laura E Selmic1, Pin-Cheh Huang2,3, Jonathan P Samuelson4, Jennifer K Reagan5, Alexandra Kalamaras1, Vincent Wavreille1, Guillermo L Monroy2,3, Marina Marjanovic2,3,6, Stephen A Boppart2,3,6,7,8.   

Abstract

Optical coherence tomography (OCT) uses near-infrared light waves to generate real-time, high-resolution images on the microscopic scale similar to low power histopathology. Previous studies have demonstrated the use of OCT for real-time surgical margin assessment for human breast cancer. The use of OCT for canine mammary tumours (CMT) could allow intra-operative visualisation of residual tumour at the surgical margins. The purpose of this study was to assess OCT imaging for the detection of incomplete tumour resection following CMT surgery. We hypothesized that the OCT images would have comparable features to histopathological images of tissues at the surgical margins of CMT resections along with a high sensitivity of OCT detection of incomplete surgical excision of CMT. Thirty surgical specimens were obtained from nineteen client-owned dogs undergoing surgical resection of CMT. OCT image appearance and characteristics of adipose tissue, skin, mammary tissue and mammary tumour at the surgical margins were distinct and different. The OCT images of normal and abnormal tissues at the surgical margins were utilized to develop a dataset of OCT images for observer evaluation. The sensitivity and specificity for ex vivo images were 83.3% and 82.0% (observer 1) and 70.0% and 67.9% (observer 2). The sensitivity and specificity for in vivo images were 70.0% and 89.3% (observer 1) and 76.7% and 67.9% (observer 2). These results indicate a potential use of OCT for surgical margin assessment for CMT to optimize surgical intervention and clinical outcomes. Improved training and experience of observers may improve sensitivity and specificity.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  imaging; oncology; pathology; small animal; surgical oncology

Mesh:

Year:  2020        PMID: 32562330      PMCID: PMC7749848          DOI: 10.1111/vco.12632

Source DB:  PubMed          Journal:  Vet Comp Oncol        ISSN: 1476-5810            Impact factor:   2.613


  32 in total

Review 1.  Optical coherence tomography: feasibility for basic research and image-guided surgery of breast cancer.

Authors:  Stephen A Boppart; Wei Luo; Daniel L Marks; Keith W Singletary
Journal:  Breast Cancer Res Treat       Date:  2004-03       Impact factor: 4.872

2.  Sample size calculation should be performed for design accuracy in diagnostic test studies.

Authors:  Antoine Flahault; Michel Cadilhac; Guy Thomas
Journal:  J Clin Epidemiol       Date:  2005-08       Impact factor: 6.437

3.  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

4.  Intraoperative optical coherence tomography for soft tissue sarcoma differentiation and margin identification.

Authors:  Kelly J Mesa; Laura E Selmic; Paritosh Pande; Guillermo L Monroy; Jennifer Reagan; Jonathan Samuelson; Elizabeth Driskell; Joanne Li; Marina Marjanovic; Eric J Chaney; Stephen A Boppart
Journal:  Lasers Surg Med       Date:  2017-03-20       Impact factor: 4.025

5.  Intra-operative imaging of surgical margins of canine soft tissue sarcoma using optical coherence tomography.

Authors:  Laura E Selmic; Jonathan Samuelson; Jennifer K Reagan; Kelly J Mesa; Elizabeth Driskell; Joanne Li; Marina Marjanovic; Stephen A Boppart
Journal:  Vet Comp Oncol       Date:  2018-11-13       Impact factor: 2.613

Review 6.  Canine mammary tumours, an overview.

Authors:  N Sleeckx; H de Rooster; E J B Veldhuis Kroeze; C Van Ginneken; L Van Brantegem
Journal:  Reprod Domest Anim       Date:  2011-06-06       Impact factor: 2.005

7.  Use of histologic margin evaluation to predict recurrence of cutaneous malignant tumors in dogs and cats after surgical excision.

Authors:  Filippo Scarpa; Silvia Sabattini; Laura Marconato; Ombretta Capitani; Maria Morini; Giuliano Bettini
Journal:  J Am Vet Med Assoc       Date:  2012-05-15       Impact factor: 1.936

8.  Prognostic Significance of Canine Mammary Tumor Histologic Subtypes: An Observational Cohort Study of 229 Cases.

Authors:  Roberta Rasotto; Davide Berlato; Michael H Goldschmidt; Valentina Zappulli
Journal:  Vet Pathol       Date:  2017-03-29       Impact factor: 2.221

Review 9.  Predictors of local recurrence after breast-conservation therapy.

Authors:  Kathleen C Horst; Melanie C Smitt; Don R Goffinet; Robert W Carlson
Journal:  Clin Breast Cancer       Date:  2005-02       Impact factor: 3.225

10.  Real-time colorectal cancer diagnosis using PR-OCT with deep learning.

Authors:  Yifeng Zeng; Shiqi Xu; William C Chapman; Shuying Li; Zahra Alipour; Heba Abdelal; Deyali Chatterjee; Matthew Mutch; Quing Zhu
Journal:  Theranostics       Date:  2020-02-03       Impact factor: 11.556

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  2 in total

1.  Virtual histological staining of label-free total absorption photoacoustic remote sensing (TA-PARS).

Authors:  Marian Boktor; Benjamin R Ecclestone; Vlad Pekar; Deepak Dinakaran; John R Mackey; Paul Fieguth; Parsin Haji Reza
Journal:  Sci Rep       Date:  2022-06-18       Impact factor: 4.996

2.  Multimodal Approach of Optical Coherence Tomography and Raman Spectroscopy Can Improve Differentiating Benign and Malignant Skin Tumors in Animal Patients.

Authors:  Mindaugas Tamošiūnas; Oskars Čiževskis; Daira Viškere; Mikus Melderis; Uldis Rubins; Blaž Cugmas
Journal:  Cancers (Basel)       Date:  2022-06-07       Impact factor: 6.575

  2 in total

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