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ePoster Display

1132P - In vivo morphological segmentation of tumor by OCT-elastography

Date

16 Sep 2021

Session

ePoster Display

Topics

Staging and Imaging;  Basic Science

Tumour Site

Breast Cancer

Presenters

Anton Plekhanov

Citation

Annals of Oncology (2021) 32 (suppl_5): S921-S930. 10.1016/annonc/annonc707

Authors

A.A. Plekhanov1, M.A. Sirotkina2, E.V. Gubarkova2, A.A. Sovetsky3, S.S. Kuznetsov4, A.L. Matveyev5, L.A. Matveev3, E.V. Zagaynova6, G.V. Gelikonov7, V.Y. Zaitsev3, N.D. Gladkova1

Author affiliations

  • 1 Research Institute Of Experimental Oncology And Biomedical Technologies, Privolzhsky Research Medical University, 603005 - Nizhny Novgorod/RU
  • 2 Research Institute Of Experimental Oncology And Biomedical Technologies, Privolzhsky Research Medical University, 603950 - Nizhny Novgorod/RU
  • 3 Laboratory Of Wave Methods For Studying Structurally Inhomogeneous Media, Institute of Applied Physics of the Russian Academy of Sciences, 603950 - Nizhny Novgorod/RU
  • 4 Department Of Pathology, Privolzhsky Research Medical University, 603950 - Nizhny Novgorod/RU
  • 5 Laboratory Of Wave Methods For Studying Structurally Inhomogeneous Media, Institute of Applied Physics of the Russian Academy of Sciences, 606500 - Nizhny Novgorod/RU
  • 6 Rector, Lobachevsky State University, 603105 - Nizhny Novgorod/RU
  • 7 Laboratory For Highly Sensitive Optical Measurements, Institute of Applied Physics of the Russian Academy of Sciences, 603950 - Nizhny Novgorod/RU

Resources

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Abstract 1132P

Background

Conventional histology, being the gold standard in assessment of biological tissues, is known to be invasive, laborious and time-consuming. New methods, which could at least partially eliminate/automate some steps of histological examination, are highly demanded. In this context, we proposed a technique based on optical coherence elastography (OCE) enabling in vivo real-time assessment of tissue structure similar to histological segmentation.

Methods

The study used a home-made multimodal OCT setup to perform quantitative mapping of tissue elasticity by compression elastography principle. The tumor was slightly compressed by the OCT-probe through translucent silicone layer with pre-calibrated stiffness. The produced strains were found by analyzing interframe phase variations. Comparing strains in silicone and tumor, its Young’s modulus was mapped with resolution ∼40-50 μm. Specific modulus ranges for main morphological components of tumor were found by comparing histological and OCE images. 72 Balb/c mice bearing breast cancer 4T1 were divided in 3 equal groups treated by: PBS (control), Bevacizumab (15 mg/kg) and Cisplatin (6 mg/kg). Drugs induce antiangiogenic and cytotoxic actions respectively and different changes in tumor morphology are suggested. At days 5, 7 and 9 post therapy, OCE and histological images (H&E) were obtained. OCE maps were segmented based on specific stiffness ranges and accurately compared with histological segmentation.

Results

OCE revealed post therapeutic morphological components by specific stiffness ranges: viable tumor cells (> 621 kPa); dystrophic tumor cells (411-620 kPa); edema (231-410 kPa) and necrosis (< 230 kPa). OCE-segmented boundaries and areas of morphological components showed high correlation with histology (r ∼ 0.96, p < 0.001). At day 9 (for maximal therapy effect), we found: Bevacizumab-induced edema – 58±11 % (OCE) / 63±3 % (H&E); Cisplatin-induced necrosis – 72±3 % / 71±15 %. In PBS group viable tumor cells prevailed – 78±2 % / 76±9 %.

Conclusions

OCE has proven to be a non-invasive (albeit contact) method enabling in vivo segmentation of morphological tissue components with an accuracy similar to that of conventional histological segmentation. Numerous other experimental / clinical applications can be foreseen.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Russian Science Foundation, grant 18-75-10068.

Disclosure

All authors have declared no conflicts of interest.

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