Literature DB >> 32295783

Diagnostic Accuracy of Quantitative Micro-Elastography for Margin Assessment in Breast-Conserving Surgery.

Kelsey M Kennedy1, Renate Zilkens1,2, Wes M Allen1,3, Ken Y Foo1,3, Qi Fang1,3, Lixin Chin1,3, Rowan W Sanderson1,3, James Anstie1,3, Philip Wijesinghe1,3, Andrea Curatolo1,3, Hsern Ern I Tan2, Narelle Morin4, Bindu Kunjuraman5, Chris Yeomans6, Synn Lynn Chin5, Helen DeJong1, Katharine Giles7, Benjamin F Dessauvagie2,6, Bruce Latham6, Christobel M Saunders2,5,8, Brendan F Kennedy9,3.   

Abstract

Inadequate margins in breast-conserving surgery (BCS) are associated with an increased likelihood of local recurrence of breast cancer. Currently, approximately 20% of BCS patients require repeat surgery due to inadequate margins at the initial operation. Implementation of an accurate, intraoperative margin assessment tool may reduce this re-excision rate. This study determined, for the first time, the diagnostic accuracy of quantitative micro-elastography (QME), an optical coherence tomography (OCT)-based elastography technique that produces images of tissue microscale elasticity, for detecting tumor within 1 mm of the margins of BCS specimens. Simultaneous OCT and QME were performed on the margins of intact, freshly excised specimens from 83 patients undergoing BCS and on dissected specimens from 7 patients undergoing mastectomy. The resulting three-dimensional images (45 × 45 × 1 mm) were coregistered with postoperative histology to determine tissue types present in each scan. Data from 12 BCS patients and the 7 mastectomy patients served to build a set of images for reader training. One hundred and fifty-four subimages (10 × 10 × 1 mm) from the remaining 71 BCS patients were included in a blinded reader study, which resulted in 69.0% sensitivity and 79.0% specificity using OCT images, versus 92.9% sensitivity and 96.4% specificity using elasticity images. The quantitative nature of QME also facilitated development of an automated reader, which resulted in 100.0% sensitivity and 97.7% specificity. These results demonstrate high accuracy of QME for detecting tumor within 1 mm of the margin and the potential for this technique to improve outcomes in BCS. SIGNIFICANCE: An optical imaging technology probes breast tissue elasticity to provide accurate assessment of tumor margin involvement in breast-conserving surgery. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32295783     DOI: 10.1158/0008-5472.CAN-19-1240

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  14 in total

1.  Simulating scan formation in multimodal optical coherence tomography: angular-spectrum formulation based on ballistic scattering of arbitrary-form beams.

Authors:  Alexander L Matveyev; Lev A Matveev; Aleksandr A Moiseev; Alexander A Sovetsky; Grigory V Gelikonov; Vladimir Y Zaitsev
Journal:  Biomed Opt Express       Date:  2021-11-16       Impact factor: 3.732

2.  Quantitative compressive optical coherence elastography using structural OCT imaging and optical palpation to measure soft contact lens mechanical properties.

Authors:  Zachery Quince; David Alonso-Caneiro; Scott A Read; Michael J Collins
Journal:  Biomed Opt Express       Date:  2021-11-04       Impact factor: 3.732

Review 3.  Non-contact elastography methods in mechanobiology: a point of view.

Authors:  Silvia Caponi; Alessandra Passeri; Giulio Capponi; Daniele Fioretto; Massimo Vassalli; Maurizio Mattarelli
Journal:  Eur Biophys J       Date:  2021-08-31       Impact factor: 1.733

4.  Multi-class classification of breast tissue using optical coherence tomography and attenuation imaging combined via deep learning.

Authors:  Ken Y Foo; Kyle Newman; Qi Fang; Peijun Gong; Hina M Ismail; Devina D Lakhiani; Renate Zilkens; Benjamin F Dessauvagie; Bruce Latham; Christobel M Saunders; Lixin Chin; Brendan F Kennedy
Journal:  Biomed Opt Express       Date:  2022-05-12       Impact factor: 3.562

5.  Compression optical coherence elastography versus strain ultrasound elastography for breast cancer detection and differentiation: pilot study.

Authors:  Ekaterina V Gubarkova; Aleksander A Sovetsky; Dmitry A Vorontsov; Pavel A Buday; Marina A Sirotkina; Anton A Plekhanov; Sergey S Kuznetsov; Aleksander L Matveyev; Lev A Matveev; Sergey V Gamayunov; Alexey Y Vorontsov; Vladimir Y Zaitsev; Natalia D Gladkova
Journal:  Biomed Opt Express       Date:  2022-04-21       Impact factor: 3.562

6.  Analysis of strain estimation methods in phase-sensitive compression optical coherence elastography.

Authors:  Jiayue Li; Ewelina Pijewska; Qi Fang; Maciej Szkulmowski; Brendan F Kennedy
Journal:  Biomed Opt Express       Date:  2022-03-18       Impact factor: 3.562

7.  Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues.

Authors:  Ekaterina V Gubarkova; Aleksander A Sovetsky; Lev A Matveev; Aleksander L Matveyev; Dmitry A Vorontsov; Anton A Plekhanov; Sergey S Kuznetsov; Sergey V Gamayunov; Alexey Y Vorontsov; Marina A Sirotkina; Natalia D Gladkova; Vladimir Y Zaitsev
Journal:  Materials (Basel)       Date:  2022-05-05       Impact factor: 3.748

8.  Rapid non-destructive volumetric tumor yield assessment in fresh lung core needle biopsies using polarization sensitive optical coherence tomography.

Authors:  Sreyankar Nandy; Timothy L Helland; Benjamin W Roop; Rebecca A Raphaely; Amy Ly; Madelyn Lew; Sarita R Berigei; Martin Villiger; Anastasia Sorokina; Margit V Szabari; Florian J Fintelmann; Melissa J Suter; Lida P Hariri
Journal:  Biomed Opt Express       Date:  2021-08-13       Impact factor: 3.732

9.  Mapping Mechanical Properties of the Tumor Microenvironment by Laser Speckle Rheological Microscopy.

Authors:  Zeinab Hajjarian; Elena F Brachtel; Diane M Tshikudi; Seemantini K Nadkarni
Journal:  Cancer Res       Date:  2021-09-15       Impact factor: 12.701

10.  Diagnostic Accuracy of Cross-Polarization OCT and OCT-Elastography for Differentiation of Breast Cancer Subtypes: Comparative Study.

Authors:  Ekaterina V Gubarkova; Elena B Kiseleva; Marina A Sirotkina; Dmitry A Vorontsov; Ksenia A Achkasova; Sergey S Kuznetsov; Konstantin S Yashin; Aleksander L Matveyev; Aleksander A Sovetsky; Lev A Matveev; Anton A Plekhanov; Alexey Y Vorontsov; Vladimir Y Zaitsev; Natalia D Gladkova
Journal:  Diagnostics (Basel)       Date:  2020-11-24
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