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Metzner KL, Fang Q, Sanderson RW, Yeow YL, Green C, Abdul-Aziz F, Hamzah J, Mowla A, Kennedy BF. A novel stress sensor enables accurate estimation of micro-scale tissue mechanics in quantitative micro-elastography. APL Bioeng 2024; 8:036115. [PMID: 39319307 PMCID: PMC11421860 DOI: 10.1063/5.0220309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 09/10/2024] [Indexed: 09/26/2024] Open
Abstract
Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique enabling the estimation of tissue mechanical properties on the micro-scale. QME utilizes a compliant layer as an optical stress sensor, placed between an imaging window and tissue, providing quantitative estimation of elasticity. However, the implementation of the layer is challenging and introduces unpredictable friction conditions at the contact boundaries, deteriorating the accuracy and reliability of elasticity estimation. This has largely limited the use of QME to ex vivo studies and is a barrier to clinical translation. In this work, we present a novel implementation by affixing the stress sensing layer to the imaging window and optimizing the layer thickness, enhancing the practical use of QME for in vivo applications by eliminating the requirement for manual placement of the layer, and significantly reducing variations in the friction conditions, leading to substantial improvement in the accuracy and repeatability of elasticity estimation. We performed a systematic validation of the integrated layer, demonstrating >30% improvement in sensitivity and the ability to provide mechanical contrast in a mechanically heterogeneous phantom. In addition, we demonstrate the ability to obtain accurate estimation of elasticity (<6% error compared to <14% achieved using existing QME) in homogeneous phantoms with mechanical properties ranging from 40 to 130 kPa. Furthermore, we show the integrated layer to be more robust, exhibiting increased temporal stability, as well as improved conformity to variations in sample surface topography, allowing for accurate estimation of elasticity over acquisition times 3× longer than current methods. Finally, when applied to ex vivo human breast tissue, we demonstrate the ability to distinguish between healthy and diseased tissue features, such as stroma and cancer, confirmed by co-registered histology, showcasing the potential for routine use in biomedical applications.
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Affiliation(s)
| | | | | | - Yen L Yeow
- Systems Biology and Genomics Laboratory, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia 6009, Australia and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia
| | - Celia Green
- Anatomical Pathology, PathWest Laboratory Medicine, QEII Medical Centre, Nedlands, Western Australia 6009, Australia
| | - Farah Abdul-Aziz
- Hollywood Private Hospital, Nedlands, Western Australia 6009, Australia
| | - Juliana Hamzah
- Targeted Drug Delivery, Imaging & Therapy, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia 6009, Australia
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2
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Kiseleva EB, Sovetsky AA, Ryabkov MG, Gubarkova EV, Plekhanov AA, Bederina EL, Potapov AL, Bogomolova AY, Zaitsev VY, Gladkova ND. Detecting emergence of ruptures in individual layers of the stretched intestinal wall using optical coherence elastography: A pilot study. JOURNAL OF BIOPHOTONICS 2024; 17:e202400086. [PMID: 38923316 DOI: 10.1002/jbio.202400086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/26/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024]
Abstract
We report a new application of compression optical coherence elastography (C-OCE) to monitor the emergence of ruptures in individual layers of longitudinally stretched small-intestine walls using tissue samples (n = 36) from nine minipigs. Before stretching, C-OCE successfully estimated stiffness for each intestine-wall layer: longitudinal muscular layer with serosa, circumferential muscular layer, submucosa and mucosa. In stretched samples, C-OCE clearly visualized initial stiffening in both muscular layers. By 25% elongation, a sharp stiffness decrease for the longitudinal muscular layer, indicated emergence of tears in all samples. With further stretching, for most samples, ruptures emerged in the circumferential muscular layer and submucosa, while mucosa remained undamaged. Histology confirmed the OCE-revealed damaging and absence of tissue damage for ~15% elongation. Thus, C-OCE has demonstrated a high potential for determining the safety tissue-stretching threshold which afterward may be used intraoperatively to prevent rupture risk in intestinal tissues stretched during various diagnostic/therapeutic procedures.
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Affiliation(s)
- Elena B Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Alexander A Sovetsky
- Nonlinear Geophysical Processes Department, A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Maksim G Ryabkov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Ekaterina V Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Anton A Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Evgeniya L Bederina
- University Clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Arseniy L Potapov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Alexandra Y Bogomolova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Vladimir Y Zaitsev
- Nonlinear Geophysical Processes Department, A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Natalia D Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
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3
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Alexandrovskaya YM, Kasianenko EM, Sovetsky AA, Matveyev AL, Atyakshin DA, Patsap OI, Ignatiuk MA, Volodkin AV, Zaitsev VY. Optical coherence elastography with osmotically induced strains: Preliminary demonstration for express detection of cartilage degradation. JOURNAL OF BIOPHOTONICS 2024; 17:e202400016. [PMID: 38702959 DOI: 10.1002/jbio.202400016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 05/06/2024]
Abstract
Optical coherence elastography (OCE) demonstrated impressive abilities for diagnosing tissue types/states using differences in their biomechanics. Usually, OCE visualizes tissue deformation induced by some additional stimulus (e.g., contact compression or auxiliary elastic-wave excitation). We propose a new variant of OCE with osmotically induced straining (OIS-OCE) and demonstrate its application to assess various stages of proteoglycan content degradation in cartilage. The information-bearing signatures in OIS-OCE are the magnitude and rate of strains caused by the application of osmotically active solutions onto the sample surface. OCE examination of the induced strains does not require special tissue preparation, the osmotic stimulation is highly reproducible, and strains are observed in noncontact mode. Several minutes suffice to obtain a conclusion. These features are promising for intraoperative method usage when express assessment of tissue state is required during surgical operations. The "waterfall" images demonstrate the development of cumulative osmotic strains in control and degraded cartilage samples.
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Affiliation(s)
| | - Ekaterina M Kasianenko
- A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
- National Research Center Kurchatov Institute, Moscow, Russia
| | - Alexander A Sovetsky
- A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Alexander L Matveyev
- A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Dmitry A Atyakshin
- Scientific and Educational Resource Center "Molecular Morphology", RUDN University, Moscow, Russia
| | - Olga I Patsap
- Scientific and Educational Resource Center "Molecular Morphology", RUDN University, Moscow, Russia
| | - Mikhail A Ignatiuk
- Scientific and Educational Resource Center "Molecular Morphology", RUDN University, Moscow, Russia
| | - Artem V Volodkin
- Scientific and Educational Resource Center "Molecular Morphology", RUDN University, Moscow, Russia
| | - Vladimir Y Zaitsev
- A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia
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4
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Plekhanov AA, Kozlov DS, Shepeleva AA, Kiseleva EB, Shimolina LE, Druzhkova IN, Plekhanova MA, Karabut MM, Gubarkova EV, Gavrina AI, Krylov DP, Sovetsky AA, Gamayunov SV, Kuznetsova DS, Zaitsev VY, Sirotkina MA, Gladkova ND. Tissue Elasticity as a Diagnostic Marker of Molecular Mutations in Morphologically Heterogeneous Colorectal Cancer. Int J Mol Sci 2024; 25:5337. [PMID: 38791375 PMCID: PMC11120711 DOI: 10.3390/ijms25105337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/25/2024] [Accepted: 05/04/2024] [Indexed: 05/26/2024] Open
Abstract
The presence of molecular mutations in colorectal cancer (CRC) is a decisive factor in selecting the most effective first-line therapy. However, molecular analysis is routinely performed only in a limited number of patients with remote metastases. We propose to use tissue stiffness as a marker of the presence of molecular mutations in CRC samples. For this purpose, we applied compression optical coherence elastography (C-OCE) to calculate stiffness values in regions corresponding to specific CRC morphological patterns (n = 54). In parallel to estimating stiffness, molecular analysis from the same zones was performed to establish their relationships. As a result, a high correlation between the presence of KRAS/NRAS/BRAF driver mutations and high stiffness values was revealed regardless of CRC morphological pattern type. Further, we proposed threshold stiffness values for label-free targeted detection of molecular alterations in CRC tissues: for KRAS, NRAS, or BRAF driver mutation-above 803 kPa (sensitivity-91%; specificity-80%; diagnostic accuracy-85%), and only for KRAS driver mutation-above 850 kPa (sensitivity-90%; specificity-88%; diagnostic accuracy-89%). To conclude, C-OCE estimation of tissue stiffness can be used as a clinical diagnostic tool for preliminary screening of genetic burden in CRC tissues.
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Affiliation(s)
- Anton A. Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Dmitry S. Kozlov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Anastasia A. Shepeleva
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Elena B. Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Liubov E. Shimolina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Irina N. Druzhkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Maria A. Plekhanova
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
- Nizhny Novgorod City Polyclinic #1, 5 Marshala Zhukova Sq., 603107 Nizhny Novgorod, Russia
| | - Maria M. Karabut
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Ekaterina V. Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Alena I. Gavrina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Dmitry P. Krylov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Alexander A. Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia
| | - Sergey V. Gamayunov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Daria S. Kuznetsova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Vladimir Y. Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia
| | - Marina A. Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Natalia D. Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
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Leartprapun N, Zeng Z, Hajjarian Z, Bossuyt V, Nadkarni SK. Laser speckle rheological microscopy reveals wideband viscoelastic spectra of biological tissues. SCIENCE ADVANCES 2024; 10:eadl1586. [PMID: 38718128 PMCID: PMC11078189 DOI: 10.1126/sciadv.adl1586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 04/04/2024] [Indexed: 05/12/2024]
Abstract
Viscoelastic transformation of tissue drives aberrant cellular functions and is an early biomarker of disease pathogenesis. Tissues scale a range of viscoelastic moduli, from biofluids to bone. Moreover, viscoelastic behavior is governed by the frequency at which tissue is probed, yielding distinct viscous and elastic responses modulated over a wide frequency band. Existing tools do not quantify wideband viscoelastic spectra in tissues, leaving a vast knowledge gap. We present wideband laser speckle rheological microscopy (WB-SHEAR) that reveals elastic and viscous response over sub-megahertz frequencies previously not investigated in tissue. WB-SHEAR uses an optical, noncontact approach to quantify wideband viscoelastic spectra in specimens spanning a range of moduli from low-viscosity fibrin to highly elastic bone. Via laser scanning, micromechanical imaging is enabled to access wideband viscoelastic spectra in heterogeneous tumor specimens with high spatial resolution (25 micrometers). The ability to interrogate the viscoelastic landscape of diverse biospecimens could transform our understanding of mechanobiological processes in various diseases.
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Affiliation(s)
- Nichaluk Leartprapun
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Ziqian Zeng
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Zeinab Hajjarian
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Veerle Bossuyt
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Seemantini K. Nadkarni
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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6
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Zhang Y, Han X, Luo J, Zhang Q, He X. Viscoelasticity quantification of cancerous tongue using intraoral optical coherence elastography: a preliminary study. BIOMEDICAL OPTICS EXPRESS 2024; 15:3480-3491. [PMID: 38855658 PMCID: PMC11161336 DOI: 10.1364/boe.519078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 06/11/2024]
Abstract
Quantifying the biomechanical properties of the tongue is significant for early diagnosis of tongue carcinoma. Therefore, an intraoral optical coherence elastography system based on a miniature probe was proposed here to evaluate the viscoelasticity of in vivo tongue for the first time. Results of experiments with Sprague-Dawley rats indicate that considerable elasticity diversity occurred between cancerous and normal tongues, and the corresponding ratio of their Young's modulus was evaluated to be 3.74. It is also found that, viscosity in diseased tissue is smaller than that in normal tissue. Additionally, healthy, transitional and cancerous regions in the cancerous tongue can be distinguished easily by calculating viscoelasticity characteristics. Based on this preliminary attempt, our method with advantages of noninvasive, high-resolution, high-sensitivity and real-time detection and convenient operation may have good potential to become a useful tool for tongue carcinoma assessment after further optimization.
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Affiliation(s)
- Yubao Zhang
- Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province and Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, P. R., China
| | - Xiao Han
- Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province and Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, P. R., China
- School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing, P. R., China
| | - Jiahui Luo
- Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province and Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, P. R., China
| | - Qin Zhang
- Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province and Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, P. R., China
| | - Xingdao He
- Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province and Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, P. R., China
- School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing, P. R., China
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7
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Wang C, Zhu J, Ma J, Meng X, Ma Z, Fan F. Optical coherence elastography and its applications for the biomechanical characterization of tissues. JOURNAL OF BIOPHOTONICS 2023; 16:e202300292. [PMID: 37774137 DOI: 10.1002/jbio.202300292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/19/2023] [Accepted: 09/27/2023] [Indexed: 10/01/2023]
Abstract
The biomechanical characterization of the tissues provides significant evidence for determining the pathological status and assessing the disease treatment. Incorporating elastography with optical coherence tomography (OCT), optical coherence elastography (OCE) can map the spatial elasticity distribution of biological tissue with high resolution. After the excitation with the external or inherent force, the tissue response of the deformation or vibration is detected by OCT imaging. The elastogram is assessed by stress-strain analysis, vibration amplitude measurements, and quantification of elastic wave velocities. OCE has been used for elasticity measurements in ophthalmology, endoscopy, and oncology, improving the precision of diagnosis and treatment of disease. In this article, we review the OCE methods for biomechanical characterization and summarize current OCE applications in biomedicine. The limitations and future development of OCE are also discussed during its translation to the clinic.
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Affiliation(s)
- Chongyang Wang
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | | | - Jiawei Ma
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Xiaochen Meng
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Zongqing Ma
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Fan Fan
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
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8
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Metzner KL, Fang Q, Sanderson RW, Mowla A, Kennedy BF. Analysis of friction in quantitative micro-elastography. BIOMEDICAL OPTICS EXPRESS 2023; 14:5127-5147. [PMID: 37854567 PMCID: PMC10581800 DOI: 10.1364/boe.494013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 10/20/2023]
Abstract
Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique capable of measuring the mechanical properties of tissue on the micro-scale. As QME requires contact between the imaging window and the sample, the presence of friction affects the accuracy of the estimated elasticity. In previous implementations, a lubricant was applied at the contact surfaces, which was assumed to result in negligible friction. However, recently, errors in the estimation of elasticity caused by friction have been reported. This effect has yet to be characterized and is, therefore, not well understood. In this work, we present a systematic analysis of friction in QME using silicone phantoms. We demonstrate that friction, and, therefore, the elasticity accuracy, is influenced by several experimental factors, including the viscosity of the lubricant, the mechanical contrast between the compliant layer and the sample, and the time after the application of a compressive strain. Elasticity errors over an order of magnitude were observed in the absence of appropriate lubrication when compared to uniaxial compression testing. Using an optimized lubrication protocol, we demonstrate accurate elasticity estimation (<10% error) for nonlinear elastic samples with Young's moduli ranging from 3 kPa to 130 kPa. Finally, using a structured phantom, we demonstrate that friction can significantly reduce mechanical contrast in QME. We believe that the framework established in this study will facilitate more robust elasticity estimations in QME, as well as being readily adapted to understand the effects of friction in other contact elastography techniques.
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Affiliation(s)
- Kai L. Metzner
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Rowan W. Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Alireza Mowla
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Brendan F. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
- Australian Research Council Centre for Personalised Therapeutics Technologies, Perth, WA 6000, Australia
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Leartprapun N, Zeng Z, Hajjarian Z, Bossuyt V, Nadkarni SK. Speckle rheological spectroscopy reveals wideband viscoelastic spectra of biological tissues. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.08.544037. [PMID: 37333220 PMCID: PMC10274797 DOI: 10.1101/2023.06.08.544037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Mechanical transformation of tissue is not merely a symptom but a decisive driver in pathological processes. Comprising intricate network of cells, fibrillar proteins, and interstitial fluid, tissues exhibit distinct solid-(elastic) and liquid-like (viscous) behaviours that span a wide band of frequencies. Yet, characterization of wideband viscoelastic behaviour in whole tissue has not been investigated, leaving a vast knowledge gap in the higher frequency range that is linked to fundamental intracellular processes and microstructural dynamics. Here, we present wideband Speckle rHEologicAl spectRoScopy (SHEARS) to address this need. We demonstrate, for the first time, analysis of frequency-dependent elastic and viscous moduli up to the sub-MHz regime in biomimetic scaffolds and tissue specimens of blood clots, breast tumours, and bone. By capturing previously inaccessible viscoelastic behaviour across the wide frequency spectrum, our approach provides distinct and comprehensive mechanical signatures of tissues that may provide new mechanobiological insights and inform novel disease prognostication.
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Affiliation(s)
- Nichaluk Leartprapun
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
| | - Ziqian Zeng
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
| | - Zeinab Hajjarian
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
| | - Veerle Bossuyt
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Seemantini K. Nadkarni
- Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114 USA
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Plekhanov AA, Gubarkova EV, Sirotkina MA, Sovetsky AA, Vorontsov DA, Matveev LA, Kuznetsov SS, Bogomolova AY, Vorontsov AY, Matveyev AL, Gamayunov SV, Zagaynova EV, Zaitsev VY, Gladkova ND. Compression OCT-elastography combined with speckle-contrast analysis as an approach to the morphological assessment of breast cancer tissue. BIOMEDICAL OPTICS EXPRESS 2023; 14:3037-3056. [PMID: 37342703 PMCID: PMC10278614 DOI: 10.1364/boe.489021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/23/2023]
Abstract
Currently, optical biopsy technologies are being developed for rapid and label-free visualization of biological tissue with micrometer-level resolution. They can play an important role in breast-conserving surgery guidance, detection of residual cancer cells, and targeted histological analysis. For solving these problems, compression optical coherence elastography (C-OCE) demonstrated impressive results based on differences in the elasticity of different tissue constituents. However, sometimes straightforward C-OCE-based differentiation is insufficient because of the similar stiffness of certain tissue components. We present a new automated approach to the rapid morphological assessment of human breast cancer based on the combined usage of C-OCE and speckle-contrast (SC) analysis. Using the SC analysis of structural OCT images, the threshold value of the SC coefficient was established to enable the separation of areas of adipose cells from necrotic cancer cells, even if they are highly similar in elastic properties. Consequently, the boundaries of the tumor bed can be reliably identified. The joint analysis of structural and elastographic images enables automated morphological segmentation based on the characteristic ranges of stiffness (Young's modulus) and SC coefficient established for four morphological structures of breast-cancer samples from patients post neoadjuvant chemotherapy (residual cancer cells, cancer stroma, necrotic cancer cells, and mammary adipose cells). This enabled precise automated detection of residual cancer-cell zones within the tumor bed for grading cancer response to chemotherapy. The results of C-OCE/SC morphometry highly correlated with the histology-based results (r =0.96-0.98). The combined C-OCE/SC approach has the potential to be used intraoperatively for achieving clean resection margins in breast cancer surgery and for performing targeted histological analysis of samples, including the evaluation of the efficacy of cancer chemotherapy.
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Affiliation(s)
- Anton A. Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
| | - Ekaterina V. Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
| | - Marina A. Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
| | - Alexander A. Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Dmitry A. Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Lev A. Matveev
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Sergey S. Kuznetsov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Alexandra Y. Bogomolova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
- Lobachevsky State University, Gagarin Avenue 23, 603950 Nizhny Novgorod, Russia
| | - Alexey Y. Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Alexander L. Matveyev
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Sergey V. Gamayunov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Elena V. Zagaynova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
- Lobachevsky State University, Gagarin Avenue 23, 603950 Nizhny Novgorod, Russia
| | - Vladimir Y. Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Natalia D. Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
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11
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Gubarkova E, Kiseleva E, Moiseev A, Vorontsov D, Kuznetsov S, Plekhanov A, Karabut M, Sirotkina M, Gelikonov G, Gamayunov S, Vorontsov A, Krivorotko P, Gladkova N. Intraoperative Assessment of Breast Cancer Tissues after Breast-Conserving Surgery Based on Mapping the Attenuation Coefficients in 3D Cross-Polarization Optical Coherence Tomography. Cancers (Basel) 2023; 15:cancers15092663. [PMID: 37174128 PMCID: PMC10177188 DOI: 10.3390/cancers15092663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/20/2023] [Accepted: 05/06/2023] [Indexed: 05/15/2023] Open
Abstract
Intraoperative differentiation of tumorous from non-tumorous tissue can help in the assessment of resection margins in breast cancer and its response to therapy and, potentially, reduce the incidence of tumor recurrence. In this study, the calculation of the attenuation coefficient and its color-coded 2D distribution was performed for different breast cancer subtypes using spectral-domain CP OCT. A total of 68 freshly excised human breast specimens containing tumorous and surrounding non-tumorous tissues after BCS was studied. Immediately after obtaining structural 3D CP OCT images, en face color-coded attenuation coefficient maps were built in co-(Att(co)) and cross-(Att(cross)) polarization channels using a depth-resolved approach to calculating the values in each A-scan. We determined spatially localized signal attenuation in both channels and reported ranges of attenuation coefficients to five selected breast tissue regions (adipose tissue, non-tumorous fibrous connective tissue, hyalinized tumor stroma, low-density tumor cells in the fibrotic tumor stroma and high-density clusters of tumor cells). The Att(cross) coefficient exhibited a stronger gain contrast of studied tissues compared to the Att(co) coefficient (i.e., conventional attenuation coefficient) and, therefore, allowed improved differentiation of all breast tissue types. It has been shown that color-coded attenuation coefficient maps may be used to detect inter- and intra-tumor heterogeneity of various breast cancer subtypes as well as to assess the effectiveness of therapy. For the first time, the optimal threshold values of the attenuation coefficients to differentiate tumorous from non-tumorous breast tissues were determined. Diagnostic testing values for Att(cross) coefficient were higher for differentiation of tumor cell areas and tumor stroma from non-tumorous fibrous connective tissue: diagnostic accuracy was 91-99%, sensitivity-96-98%, and specificity-87-99%. Att(co) coefficient is more suitable for the differentiation of tumor cell areas from adipose tissue: diagnostic accuracy was 83%, sensitivity-84%, and specificity-84%. Therefore, the present study provides a new diagnostic approach to the differentiation of breast cancer tissue types based on the assessment of the attenuation coefficient from real-time CP OCT data and has the potential to be used for further rapid and accurate intraoperative assessment of the resection margins during BCS.
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Affiliation(s)
- Ekaterina Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Elena Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Alexander Moiseev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia
| | - Dmitry Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Sergey Kuznetsov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Anton Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Maria Karabut
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Marina Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Grigory Gelikonov
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia
| | - Sergey Gamayunov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Alexey Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Petr Krivorotko
- N.N. Petrov National Medicine Research Center of Oncology, 68 Leningradskaya St., 197758 St. Petersburg, Russia
| | - Natalia Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
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12
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Plekhanov AA, Sirotkina MA, Gubarkova EV, Kiseleva EB, Sovetsky AA, Karabut MM, Zagainov VE, Kuznetsov SS, Maslennikova AV, Zagaynova EV, Zaitsev VY, Gladkova ND. Towards targeted colorectal cancer biopsy based on tissue morphology assessment by compression optical coherence elastography. Front Oncol 2023; 13:1121838. [PMID: 37064146 PMCID: PMC10100073 DOI: 10.3389/fonc.2023.1121838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023] Open
Abstract
Identifying the precise topography of cancer for targeted biopsy in colonoscopic examination is a challenge in current diagnostic practice. For the first time we demonstrate the use of compression optical coherence elastography (C-OCE) technology as a new functional OCT modality for differentiating between cancerous and non-cancerous tissues in colon and detecting their morphological features on the basis of measurement of tissue elastic properties. The method uses pre-determined stiffness values (Young’s modulus) to distinguish between different morphological structures of normal (mucosa and submucosa), benign tumor (adenoma) and malignant tumor tissue (including cancer cells, gland-like structures, cribriform gland-like structures, stromal fibers, extracellular mucin). After analyzing in excess of fifty tissue samples, a threshold stiffness value of 520 kPa was suggested above which areas of colorectal cancer were detected invariably. A high Pearson correlation (r =0.98; p <0.05), and a negligible bias (0.22) by good agreement of the segmentation results of C-OCE and histological (reference standard) images was demonstrated, indicating the efficiency of C-OCE to identify the precise localization of colorectal cancer and the possibility to perform targeted biopsy. Furthermore, we demonstrated the ability of C-OCE to differentiate morphological subtypes of colorectal cancer – low-grade and high-grade colorectal adenocarcinomas, mucinous adenocarcinoma, and cribriform patterns. The obtained ex vivo results highlight prospects of C-OCE for high-level colon malignancy detection. The future endoscopic use of C-OCE will allow targeted biopsy sampling and simultaneous rapid analysis of the heterogeneous morphology of colon tumors.
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Affiliation(s)
- Anton A. Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- *Correspondence: Anton A. Plekhanov,
| | - Marina A. Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Ekaterina V. Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena B. Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Alexander A. Sovetsky
- Laboratory of Wave Methods for Studying Structurally Inhomogeneous Media, Institute of Applied Physics Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Maria M. Karabut
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Vladimir E. Zagainov
- Department of Faculty Surgery and Transplantation, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Department of Pathology, Nizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia
| | - Sergey S. Kuznetsov
- Department of Pathology, Nizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia
| | - Anna V. Maslennikova
- Department of Oncology, Radiation Therapy and Radiation Diagnostics, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena V. Zagaynova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Vladimir Y. Zaitsev
- Laboratory of Wave Methods for Studying Structurally Inhomogeneous Media, Institute of Applied Physics Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Natalia D. Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
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13
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Alexandrovskaya YM, Kasianenko EM, Sovetsky AA, Matveyev AL, Zaitsev VY. Spatio-Temporal Dynamics of Diffusion-Associated Deformations of Biological Tissues and Polyacrylamide Gels Observed with Optical Coherence Elastography. MATERIALS (BASEL, SWITZERLAND) 2023; 16:2036. [PMID: 36903151 PMCID: PMC10004177 DOI: 10.3390/ma16052036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/22/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
In this work, we use the method of optical coherence elastography (OCE) to enable quantitative, spatially resolved visualization of diffusion-associated deformations in the areas of maximum concentration gradients during diffusion of hyperosmotic substances in cartilaginous tissue and polyacrylamide gels. At high concentration gradients, alternating sign, near-surface deformations in porous moisture-saturated materials are observed in the first minutes of diffusion. For cartilage, the kinetics of osmotic deformations visualized by OCE, as well as the optical transmittance variations caused by the diffusion, were comparatively analyzed for several substances that are often used as optical clearing agents, i.e., glycerol, polypropylene, PEG-400 and iohexol, for which the effective diffusion coefficients were found to be 7.4 ± 1.8, 5.0 ± 0.8, 4.4 ± 0.8 and 4.6 ± 0.9 × 10-6 cm2/s, respectively. For the osmotically induced shrinkage amplitude, the influence of the organic alcohol concentration appears to be more significant than the influence of its molecular weight. The rate and amplitude of osmotically induced shrinkage and dilatation in polyacrylamide gels is found to clearly depend on the degree of their crosslinking. The obtained results show that observation of osmotic strains with the developed OCE technique can be applied for structural characterization of a wide range of porous materials, including biopolymers. In addition, it may be promising for revealing alterations in the diffusivity/permeability of biological tissues that are potentially associated with various diseases.
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Affiliation(s)
- Yulia M. Alexandrovskaya
- Institute of Applied Physics of the Russian Academy of Sciences, Uljanova St., 46, 603950 Nizhny Novgorod, Russia
- Federal Scientific Research Center “Crystallography and Photonics”, Institute of Photon Technologies, Russian Academy of Sciences, 2 Pionerskaya Street, Troitsk, 108840 Moscow, Russia
| | - Ekaterina M. Kasianenko
- Institute of Applied Physics of the Russian Academy of Sciences, Uljanova St., 46, 603950 Nizhny Novgorod, Russia
- Federal Scientific Research Center “Crystallography and Photonics”, Institute of Photon Technologies, Russian Academy of Sciences, 2 Pionerskaya Street, Troitsk, 108840 Moscow, Russia
| | - Alexander A. Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, Uljanova St., 46, 603950 Nizhny Novgorod, Russia
| | - Alexander L. Matveyev
- Institute of Applied Physics of the Russian Academy of Sciences, Uljanova St., 46, 603950 Nizhny Novgorod, Russia
| | - Vladimir Y. Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, Uljanova St., 46, 603950 Nizhny Novgorod, Russia
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14
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Gao T, Liu S, Wang A, Tang X, Fan Y. Vascular elasticity measurement of the great saphenous vein based on optical coherence elastography. JOURNAL OF BIOPHOTONICS 2023; 16:e202200245. [PMID: 36067058 DOI: 10.1002/jbio.202200245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 06/15/2023]
Abstract
Vascular elasticity is important in physiological and clinical problems. The mechanical properties of the great saphenous vein (GSV) deserve attention. This research aims to measure the radial elasticity of ex vivo GSV using the optical coherence elasticity (OCE). The finite element model of the phantom is established, the displacement field is calculated, the radial mechanical characteristics of the simulation body are obtained. Furthermore, we performed OCE on seven isolated GSVs. The strain field is obtained by combining the relationship between strain and displacement to obtain the radial elastic modulus of GSVs. In the phantom experiment, the strain of the experimental region of interest is mainly between 0.1 and 0.4, while the simulation result is between 0.06 and 0.40. The radial elastic modulus of GSVs ranged from 3.83 kPa to 7.74 kPa. This study verifies the feasibility of the OCE method for measuring the radial elastic modulus of blood vessels.
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Affiliation(s)
- Tianxin Gao
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Shuai Liu
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Ancong Wang
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Xiaoying Tang
- School of Life Science, Beijing Institute of Technology, Beijing, China
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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15
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Leartprapun N, Adie SG. Recent advances in optical elastography and emerging opportunities in the basic sciences and translational medicine [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:208-248. [PMID: 36698669 PMCID: PMC9842001 DOI: 10.1364/boe.468932] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 05/28/2023]
Abstract
Optical elastography offers a rich body of imaging capabilities that can serve as a bridge between organ-level medical elastography and single-molecule biophysics. We review the methodologies and recent developments in optical coherence elastography, Brillouin microscopy, optical microrheology, and photoacoustic elastography. With an outlook toward maximizing the basic science and translational clinical impact of optical elastography technologies, we discuss potential ways that these techniques can integrate not only with each other, but also with supporting technologies and capabilities in other biomedical fields. By embracing cross-modality and cross-disciplinary interactions with these parallel fields, optical elastography can greatly increase its potential to drive new discoveries in the biomedical sciences as well as the development of novel biomechanics-based clinical diagnostics and therapeutics.
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Affiliation(s)
- Nichaluk Leartprapun
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA
- Present affiliation: Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Steven G. Adie
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, USA
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16
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Gong P, Chin SL, Allen WM, Ballal H, Anstie JD, Chin L, Ismail HM, Zilkens R, Lakhiani DD, McCarthy M, Fang Q, Firth D, Newman K, Thomas C, Li J, Sanderson RW, Foo KY, Yeomans C, Dessauvagie BF, Latham B, Saunders CM, Kennedy BF. Quantitative Micro-Elastography Enables In Vivo Detection of Residual Cancer in the Surgical Cavity during Breast-Conserving Surgery. Cancer Res 2022; 82:4093-4104. [PMID: 36098983 PMCID: PMC9627129 DOI: 10.1158/0008-5472.can-22-0578] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 05/29/2022] [Accepted: 09/08/2022] [Indexed: 01/07/2023]
Abstract
Breast-conserving surgery (BCS) is commonly used for the treatment of early-stage breast cancer. Following BCS, approximately 20% to 30% of patients require reexcision because postoperative histopathology identifies cancer in the surgical margins of the excised specimen. Quantitative micro-elastography (QME) is an imaging technique that maps microscale tissue stiffness and has demonstrated a high diagnostic accuracy (96%) in detecting cancer in specimens excised during surgery. However, current QME methods, in common with most proposed intraoperative solutions, cannot image cancer directly in the patient, making their translation to clinical use challenging. In this proof-of-concept study, we aimed to determine whether a handheld QME probe, designed to interrogate the surgical cavity, can detect residual cancer directly in the breast cavity in vivo during BCS. In a first-in-human study, 21 BCS patients were scanned in vivo with the QME probe by five surgeons. For validation, protocols were developed to coregister in vivo QME with postoperative histopathology of the resected tissue to assess the capability of QME to identify residual cancer. In four cavity aspects presenting cancer and 21 cavity aspects presenting benign tissue, QME detected elevated stiffness in all four cancer cases, in contrast to low stiffness observed in 19 of the 21 benign cases. The results indicate that in vivo QME can identify residual cancer by directly imaging the surgical cavity, potentially providing a reliable intraoperative solution that can enable more complete cancer excision during BCS. SIGNIFICANCE Optical imaging of microscale tissue stiffness enables the detection of residual breast cancer directly in the surgical cavity during breast-conserving surgery, which could potentially contribute to more complete cancer excision.
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Affiliation(s)
- Peijun Gong
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia.,Corresponding Author: Peijun Gong, BRITElab, Harry Perkins Institute of Medical Research, Perth 6009, Australia. Phone: 61-8-6488-6774; E-mail:
| | - Synn Lynn Chin
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Wes M. Allen
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Helen Ballal
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - James D. Anstie
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Lixin Chin
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Hina M. Ismail
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Renate Zilkens
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Division of Surgery, Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Devina D. Lakhiani
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | | | - Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Daniel Firth
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Kyle Newman
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Caleb Thomas
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Jiayue Li
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia.,Australian Research Council Centre for Personalised Therapeutics Technologies, Melbourne, Victoria, Australia
| | - Rowan W. Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Ken Y. Foo
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Chris Yeomans
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Benjamin F. Dessauvagie
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.,Division of Pathology and Laboratory Medicine, Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.,The University of Notre Dame, Fremantle, Western Australia, Australia
| | - Christobel M. Saunders
- Breast Centre, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.,Division of Surgery, Medical School, The University of Western Australia, Perth, Western Australia, Australia.,Breast Clinic, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Brendan F. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia.,Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia.,Australian Research Council Centre for Personalised Therapeutics Technologies, Melbourne, Victoria, Australia
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17
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Gubarkova EV, Sovetsky AA, Matveev LA, Matveyev AL, Vorontsov DA, Plekhanov AA, Kuznetsov SS, Gamayunov SV, Vorontsov AY, Sirotkina MA, Gladkova ND, Zaitsev VY. Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues. MATERIALS (BASEL, SWITZERLAND) 2022; 15:3308. [PMID: 35591642 PMCID: PMC9099511 DOI: 10.3390/ma15093308] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/27/2022] [Accepted: 05/03/2022] [Indexed: 12/05/2022]
Abstract
Soft biological tissues, breast cancer tissues in particular, often manifest pronounced nonlinear elasticity, i.e., strong dependence of their Young’s modulus on the applied stress. We showed that compression optical coherence elastography (C-OCE) is a promising tool enabling the evaluation of nonlinear properties in addition to the conventionally discussed Young’s modulus in order to improve diagnostic accuracy of elastographic examination of tumorous tissues. The aim of this study was to reveal and quantify variations in stiffness for various breast tissue components depending on the applied pressure. We discussed nonlinear elastic properties of different breast cancer samples excised from 50 patients during breast-conserving surgery. Significant differences were found among various subtypes of tumorous and nontumorous breast tissues in terms of the initial Young’s modulus (estimated for stress < 1 kPa) and the nonlinearity parameter determining the rate of stiffness increase with increasing stress. However, Young’s modulus alone or the nonlinearity parameter alone may be insufficient to differentiate some malignant breast tissue subtypes from benign. For instance, benign fibrous stroma and fibrous stroma with isolated individual cancer cells or small agglomerates of cancer cells do not yet exhibit significant difference in the Young’s modulus. Nevertheless, they can be clearly singled out by their nonlinearity parameter, which is the main novelty of the proposed OCE-based discrimination of various breast tissue subtypes. This ability of OCE is very important for finding a clean resection boundary. Overall, morphological segmentation of OCE images accounting for both linear and nonlinear elastic parameters strongly enhances the correspondence with the histological slices and radically improves the diagnostic possibilities of C-OCE for a reliable clinical outcome.
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Affiliation(s)
- Ekaterina V. Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia; (A.A.P.); (M.A.S.); (N.D.G.)
| | - Aleksander A. Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia; (A.A.S.); (L.A.M.); (A.L.M.); (V.Y.Z.)
| | - Lev A. Matveev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia; (A.A.S.); (L.A.M.); (A.L.M.); (V.Y.Z.)
| | - Aleksander L. Matveyev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia; (A.A.S.); (L.A.M.); (A.L.M.); (V.Y.Z.)
| | - Dmitry A. Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia; (D.A.V.); (S.S.K.); (S.V.G.); (A.Y.V.)
| | - Anton A. Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia; (A.A.P.); (M.A.S.); (N.D.G.)
| | - Sergey S. Kuznetsov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia; (D.A.V.); (S.S.K.); (S.V.G.); (A.Y.V.)
- Department of Pathology, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Sergey V. Gamayunov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia; (D.A.V.); (S.S.K.); (S.V.G.); (A.Y.V.)
| | - Alexey Y. Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia; (D.A.V.); (S.S.K.); (S.V.G.); (A.Y.V.)
| | - Marina A. Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia; (A.A.P.); (M.A.S.); (N.D.G.)
| | - Natalia D. Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia; (A.A.P.); (M.A.S.); (N.D.G.)
| | - Vladimir Y. Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia; (A.A.S.); (L.A.M.); (A.L.M.); (V.Y.Z.)
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18
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Gubarkova EV, Sovetsky AA, Vorontsov DA, Buday PA, Sirotkina MA, Plekhanov AA, Kuznetsov SS, Matveyev AL, Matveev LA, Gamayunov SV, Vorontsov AY, Zaitsev VY, Gladkova ND. Compression optical coherence elastography versus strain ultrasound elastography for breast cancer detection and differentiation: pilot study. BIOMEDICAL OPTICS EXPRESS 2022; 13:2859-2881. [PMID: 35774307 PMCID: PMC9203088 DOI: 10.1364/boe.451059] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/01/2022] [Accepted: 04/05/2022] [Indexed: 05/20/2023]
Abstract
The aims of this study are (i) to compare ultrasound strain elastography (US-SE) and compression optical coherence elastography (C-OCE) in characterization of elastically linear phantoms, (ii) to evaluate factors that can cause discrepancy between the results of the two elastographic techniques in application to real tissues, and (iii) to compare the results of US-SE and C-OCE in the differentiation of benign and malignant breast lesions. On 22 patients, we first used standard US-SE for in vivo assessment of breast cancer before and then after the lesion excision C-OCE was applied for intraoperative visualization of margins of the tumors and assessment of their type/grade using fresh lumpectomy specimens. For verification, the tumor grades and subtypes were determined histologically. We show that in comparison to US-SE, quantitative C-OCE has novel capabilities due to its ability to locally control stress applied to the tissue and obtain local stress-strain curves. For US-SE, we demonstrate examples of malignant tumors that were erroneously classified as benign and vice versa. For C-OCE, all lesions are correctly classified in agreement with the histology. The revealed discrepancies between the strain ratio given by US-SE and ratio of tangent Young's moduli obtained for the same samples by C-OCE are explained. Overall, C-OCE enables significantly improved specificity in breast lesion differentiation and ability to precisely visualize margins of malignant tumors compared. Such results confirm high potential of C-OCE as a high-speed and accurate method for intraoperative assessment of breast tumors and detection of their margins.
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Affiliation(s)
| | | | | | - Pavel A. Buday
- Nizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia
| | | | | | | | | | - Lev A. Matveev
- Institute of Applied Physics RAS, Nizhny Novgorod, Russia
| | | | | | - Vladimir Y. Zaitsev
- Institute of Applied Physics RAS, Nizhny Novgorod, Russia
- Equally contributed
| | - Natalia D. Gladkova
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Equally contributed
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19
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Luo S, Ran Y, Liu L, Huang H, Tang X, Fan Y. Classification of gastric cancerous tissues by a residual network based on optical coherence tomography images. Lasers Med Sci 2022; 37:2727-2735. [PMID: 35344109 DOI: 10.1007/s10103-022-03546-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 03/10/2022] [Indexed: 11/26/2022]
Abstract
Optical coherence tomography (OCT) is a noninvasive, radiation-free, and high-resolution imaging technology. The intraoperative classification of normal and cancerous tissue is critical for surgeons to guide surgical operations. Accurate classification of gastric cancerous OCT images is beneficial to improve the effect of surgical treatment based on the deep learning method. The OCT system was used to collect images of cancerous tissues removed from patients. An intelligent classification method of gastric cancerous tissues based on the residual network is proposed in this study and optimized with the ResNet18 model. Four residual blocks are used to reset the model structure of ResNet18 and reduce the number of network layers to identify cancerous tissues. The model performance of different residual networks is evaluated by accuracy, precision, recall, specificity, F1 value, ROC curve, and model parameters. The classification accuracies of the proposed method and ResNet18 both reach 99.90%. Also, the model parameters of the proposed method are 44% of ResNet18, which occupies fewer system resources and is more efficient. In this study, the proposed deep learning method was used to automatically recognize OCT images of gastric cancerous tissue. This artificial intelligence method could help promote the clinical application of gastric cancerous tissue classification in the future.
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Affiliation(s)
- Site Luo
- Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University, Changsha, 410082, China
| | - Yuchen Ran
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Lifei Liu
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Huihui Huang
- Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University, Changsha, 410082, China
| | - Xiaoying Tang
- School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, 100081, China
| | - Yingwei Fan
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, 100081, China.
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20
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Alexandrovskaya Y, Baum O, Sovetsky A, Matveyev A, Matveev L, Sobol E, Zaitsev V. Optical Coherence Elastography as a Tool for Studying Deformations in Biomaterials: Spatially-Resolved Osmotic Strain Dynamics in Cartilaginous Samples. MATERIALS (BASEL, SWITZERLAND) 2022; 15:904. [PMID: 35160851 PMCID: PMC8838169 DOI: 10.3390/ma15030904] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/14/2022] [Accepted: 01/20/2022] [Indexed: 12/15/2022]
Abstract
This paper presents a recently developed variant of phase-resolved Optical Coherence Elastography (OCE) enabling non-contact visualization of transient local strains of various origins in biological tissues and other materials. In this work, we demonstrate the possibilities of this new technique for studying dynamics of osmotically-induced strains in cartilaginous tissue impregnated with optical clearing agents (OCA). For poroelastic water-containing biological tissues, application of non-isotonic OCAs, various contrast additives, as well as drug solutions administration, may excite transient spatially-inhomogeneous strain fields of high magnitude in the tissue bulk, initiating mechanical and structural alterations. The range of the strain reliably observed by OCE varied from ±10-3 to ±0.4 for diluted and pure glycerol, correspondingly. The OCE-technique used made it possible to reveal previously inaccessible details of the complex spatio-temporal evolution of alternating-sign osmotic strains at the initial stages of agent diffusion. Qualitatively different effects produced by particular hydrophilic OCAs, such as glycerol and iohexol, are discussed, as well as concentration-dependent differences. Overall, the work demonstrates the unique abilities of the new OCE-modality in providing a deeper insight in real-time kinetics of osmotically-induced strains relevant to a broad range of biomedical applications.
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Affiliation(s)
- Yulia Alexandrovskaya
- Institute of Photon Technologies, Federal Scientific Research Center “Crystallography and Photonics”, Russian Academy of Sciences, 2 Pionerskaya Street, Troitsk, 108840 Moscow, Russia;
| | - Olga Baum
- Institute of Photon Technologies, Federal Scientific Research Center “Crystallography and Photonics”, Russian Academy of Sciences, 2 Pionerskaya Street, Troitsk, 108840 Moscow, Russia;
| | - Alexander Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Uljanova Street, 603950 Nizhny Novgorod, Russia; (A.S.); (A.M.); (L.M.); (V.Z.)
| | - Alexander Matveyev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Uljanova Street, 603950 Nizhny Novgorod, Russia; (A.S.); (A.M.); (L.M.); (V.Z.)
| | - Lev Matveev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Uljanova Street, 603950 Nizhny Novgorod, Russia; (A.S.); (A.M.); (L.M.); (V.Z.)
| | - Emil Sobol
- UCI Health Beckman Laser Institute & Medical Clinic, 1002 Health Sciences Rd., Irvine, CA 92612, USA;
| | - Vladimir Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Uljanova Street, 603950 Nizhny Novgorod, Russia; (A.S.); (A.M.); (L.M.); (V.Z.)
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21
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Matveyev AL, Matveev LA, Moiseev AA, Sovetsky AA, Gelikonov GV, Zaitsev VY. Simulating scan formation in multimodal optical coherence tomography: angular-spectrum formulation based on ballistic scattering of arbitrary-form beams. BIOMEDICAL OPTICS EXPRESS 2021; 12:7599-7615. [PMID: 35003855 PMCID: PMC8713662 DOI: 10.1364/boe.440739] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/11/2021] [Accepted: 10/13/2021] [Indexed: 06/14/2023]
Abstract
We present a computationally highly efficient full-wave spectral model of OCT-scan formation with the following features: allowance of arbitrary phase-amplitude profile of illuminating beams; absence of paraxial approximation; utilization of broadly used approximation of ballistic scattering by discrete scatterers without limitations on their density/location and scattering strength. The model can easily incorporate the wave decay, dispersion, measurement noises with given signal-to-noise ratios and arbitrary inter-scan displacements of scatterers. We illustrate several of such abilities, including comparative simulations of OCT-scans for Bessel versus Gaussian beams, presence of arbitrary aberrations at the tissue boundary and various scatterer motions. The model flexibility and computational efficiency allow one to accurately study various properties of OCT-scans for developing new methods of their processing in various biomedical applications.
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Affiliation(s)
- Alexander L. Matveyev
- Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod, 603950, Russia
| | - Lev A. Matveev
- Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod, 603950, Russia
| | - Aleksandr A. Moiseev
- Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod, 603950, Russia
| | - Alexander A. Sovetsky
- Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod, 603950, Russia
| | - Grigory V. Gelikonov
- Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod, 603950, Russia
| | - Vladimir Y. Zaitsev
- Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov Str., Nizhny Novgorod, 603950, Russia
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22
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Littrup PJ, Duric N, Sak M, Li C, Roy O, Brem RF, Larsen LH, Yamashita M. Multicenter Study of Whole Breast Stiffness Imaging by Ultrasound Tomography (SoftVue) for Characterization of Breast Tissues and Masses. J Clin Med 2021; 10:5528. [PMID: 34884229 PMCID: PMC8658621 DOI: 10.3390/jcm10235528] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/10/2021] [Accepted: 11/25/2021] [Indexed: 12/16/2022] Open
Abstract
We evaluated whole breast stiffness imaging by SoftVue ultrasound tomography (UST), extracted from the bulk modulus, to volumetrically map differences in breast tissues and masses. A total 206 women with either palpable or mammographically/sonographically visible masses underwent UST scanning prior to biopsy as part of a prospective, HIPAA-compliant multicenter cohort study. The volumetric data sets comprised 298 masses (78 cancers, 105 fibroadenomas, 91 cysts and 24 other benign) in 239 breasts. All breast tissues were segmented into six categories, using sound speed to separate fat from fibroglandular tissues, and then subgrouped by stiffness into soft, intermediate and hard components. Ninety percent of women had mammographically dense breasts but only 11.2% of their total breast volume showed hard components while 69% of fibroglandular tissues were softer. All smaller masses (<1.5 cm) showed a greater percentage of hard components than their corresponding larger masses (p < 0.001). Cancers had significantly greater mean stiffness indices and lower mean homogeneity of stiffness than benign masses (p < 0.05). SoftVue stiffness imaging demonstrated small stiff masses, mainly due to cancers, amongst predominantly soft breast tissues. Quantitative stiffness mapping of the whole breast and underlying masses may have implications for screening of women with dense breasts, cancer risk evaluations, chemoprevention and treatment monitoring.
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Affiliation(s)
- Peter J. Littrup
- Department of Radiology, Karmanos Cancer Institute, Detroit, MI 48201, USA
- Department of Radiology, Wayne State University, Detroit, MI 48201, USA
- Delphinus Medical Technologies Inc., Novi, MI 48374, USA; (N.D.); (M.S.); (C.L.); (O.R.)
| | - Nebojsa Duric
- Delphinus Medical Technologies Inc., Novi, MI 48374, USA; (N.D.); (M.S.); (C.L.); (O.R.)
- Department of Radiology, University of Rochester, Rochester, NY 14642, USA
| | - Mark Sak
- Delphinus Medical Technologies Inc., Novi, MI 48374, USA; (N.D.); (M.S.); (C.L.); (O.R.)
| | - Cuiping Li
- Delphinus Medical Technologies Inc., Novi, MI 48374, USA; (N.D.); (M.S.); (C.L.); (O.R.)
| | - Olivier Roy
- Delphinus Medical Technologies Inc., Novi, MI 48374, USA; (N.D.); (M.S.); (C.L.); (O.R.)
| | - Rachel F. Brem
- Department of Radiology, The George Washington Cancer Center, George Washington University, Washington, DC 20037, USA;
| | - Linda H. Larsen
- Department of Radiology, Norris Cancer Center and Hospital, University of Southern California, Los Angeles, CA 90033, USA; (L.H.L.); (M.Y.)
| | - Mary Yamashita
- Department of Radiology, Norris Cancer Center and Hospital, University of Southern California, Los Angeles, CA 90033, USA; (L.H.L.); (M.Y.)
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23
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Liu Y, Adamson R, Galan M, Hubbi B, Liu X. Quantitative characterization of human breast tissue based on deep learning segmentation of 3D optical coherence tomography images. BIOMEDICAL OPTICS EXPRESS 2021; 12:2647-2660. [PMID: 34123494 PMCID: PMC8176808 DOI: 10.1364/boe.423224] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 03/26/2021] [Accepted: 03/30/2021] [Indexed: 05/27/2023]
Abstract
In this study, we performed dual-modality optical coherence tomography (OCT) characterization (volumetric OCT imaging and quantitative optical coherence elastography) on human breast tissue specimens. We trained and validated a U-Net for automatic image segmentation. Our results demonstrated that U-Net segmentation can be used to assist clinical diagnosis for breast cancer, and is a powerful enabling tool to advance our understanding of the characteristics for breast tissue. Based on the results obtained from U-Net segmentation of 3D OCT images, we demonstrated significant morphological heterogeneity in small breast specimens acquired through diagnostic biopsy. We also found that breast specimens affected by different pathologies had different structural characteristics. By correlating U-Net analysis of structural OCT images with mechanical measurement provided by quantitative optical coherence elastography, we showed that the change of mechanical properties in breast tissue is not directly due to the change in the amount of dense or porous tissue.
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Affiliation(s)
- Yuwei Liu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, New Jersey 07105, USA
| | - Roberto Adamson
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, New Jersey 07105, USA
| | - Mark Galan
- Rutgers University/New Jersey Medical School, Newark New Jersey 07103, USA
| | - Basil Hubbi
- Overlook Medical Center, Summit, New Jersey 07901, USA
| | - Xuan Liu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, New Jersey 07105, USA
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24
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Zhu D, Wang J, Marjanovic M, Chaney EJ, Cradock KA, Higham AM, Liu ZG, Gao Z, Boppart SA. Differentiation of breast tissue types for surgical margin assessment using machine learning and polarization-sensitive optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2021; 12:3021-3036. [PMID: 34168912 PMCID: PMC8194620 DOI: 10.1364/boe.423026] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/10/2021] [Accepted: 04/12/2021] [Indexed: 05/04/2023]
Abstract
We report an automated differentiation model for classifying malignant tumor, fibro-adipose, and stroma in human breast tissues based on polarization-sensitive optical coherence tomography (PS-OCT). A total of 720 PS-OCT images from 72 sites of 41 patients with H&E histology-confirmed diagnoses as the gold standard were employed in this study. The differentiation model is trained by the features extracted from both one standard OCT-based metric (i.e., intensity) and four PS-OCT-based metrics (i.e., phase difference between two channels (PD), phase retardation (PR), local phase retardation (LPR), and degree of polarization uniformity (DOPU)). Further optimized by forward searching and validated by leave-one-site-out-cross-validation (LOSOCV) method, the best feature subset was acquired with the highest overall accuracy of 93.5% for the model. Furthermore, to show the superiority of our differentiation model based on PS-OCT images over standard OCT images, the best model trained by intensity-only features (usually obtained by standard OCT systems) was also obtained with an overall accuracy of 82.9%, demonstrating the significance of the polarization information in breast tissue differentiation. The high performance of our differentiation model suggests the potential of using PS-OCT for intraoperative human breast tissue differentiation during the surgical resection of breast cancer.
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Affiliation(s)
- Dan Zhu
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
- These authors contributed equally to this work
| | - Jianfeng Wang
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- These authors contributed equally to this work
| | - Marina Marjanovic
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Eric J Chaney
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Kimberly A Cradock
- Department of Surgery, Carle Foundation Hospital, Urbana, Illinois 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA
| | - Anna M Higham
- Department of Surgery, Carle Foundation Hospital, Urbana, Illinois 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA
| | - Zheng G Liu
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA
- Department of Pathology, Carle Foundation Hospital, Urbana, Illinois 61801, USA
| | - Zhishan Gao
- School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Stephen A Boppart
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
- Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
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25
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McLean JP, Hendon CP. 3-D compressed sensing optical coherence tomography using predictive coding. BIOMEDICAL OPTICS EXPRESS 2021; 12:2531-2549. [PMID: 33996246 PMCID: PMC8086477 DOI: 10.1364/boe.421848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/24/2021] [Accepted: 03/25/2021] [Indexed: 05/05/2023]
Abstract
We present a compressed sensing (CS) algorithm and sampling strategy for reconstructing 3-D Optical Coherence Tomography (OCT) image volumes from as little as 10% of the original data. Reconstruction using the proposed method, Denoising Predictive Coding (DN-PC), is demonstrated for five clinically relevant tissue types including human heart, retina, uterus, breast, and bovine ligament. DN-PC reconstructs the difference between adjacent b-scans in a volume and iteratively applies Gaussian filtering to improve image sparsity. An a-line sampling strategy was developed that can be easily implemented in existing Spectral-Domain OCT systems and reduce scan time by up to 90%.
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26
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Zaitsev VY, Matveyev AL, Matveev LA, Sovetsky AA, Hepburn MS, Mowla A, Kennedy BF. Strain and elasticity imaging in compression optical coherence elastography: The two-decade perspective and recent advances. JOURNAL OF BIOPHOTONICS 2021; 14:e202000257. [PMID: 32749033 DOI: 10.1002/jbio.202000257] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/28/2020] [Accepted: 07/29/2020] [Indexed: 05/20/2023]
Abstract
Quantitative mapping of deformation and elasticity in optical coherence tomography has attracted much attention of researchers during the last two decades. However, despite intense effort it took ~15 years to demonstrate optical coherence elastography (OCE) as a practically useful technique. Similarly to medical ultrasound, where elastography was first realized using the quasi-static compression principle and later shear-wave-based systems were developed, in OCE these two approaches also developed in parallel. However, although the compression OCE (C-OCE) was proposed historically earlier in the seminal paper by J. Schmitt in 1998, breakthroughs in quantitative mapping of genuine local strains and the Young's modulus in C-OCE have been reported only recently and have not yet obtained sufficient attention in reviews. In this overview, we focus on underlying principles of C-OCE; discuss various practical challenges in its realization and present examples of biomedical applications of C-OCE. The figure demonstrates OCE-visualization of complex transient strains in a corneal sample heated by an infrared laser beam.
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Affiliation(s)
- Vladimir Y Zaitsev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Alexander L Matveyev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Lev A Matveev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Alexander A Sovetsky
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Matt S Hepburn
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia, 6009, Australia and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Alireza Mowla
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia, 6009, Australia and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
| | - Brendan F Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia, 6009, Australia and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, Western Australia, Australia
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27
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Diagnostic Accuracy of Cross-Polarization OCT and OCT-Elastography for Differentiation of Breast Cancer Subtypes: Comparative Study. Diagnostics (Basel) 2020; 10:diagnostics10120994. [PMID: 33255263 PMCID: PMC7760404 DOI: 10.3390/diagnostics10120994] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 11/29/2022] Open
Abstract
The possibility to assess molecular-biological and morphological features of particular breast cancer types can improve the precision of resection margin detection and enable accurate determining of the tumor aggressiveness, which is important for treatment selection. To enable reliable differentiation of breast-cancer subtypes and evaluation of resection margin, without performing conventional histological procedures, here we apply cross-polarization optical coherence tomography (CP-OCT) and compare it with a novel variant of compressional optical coherence elastography (C-OCE) in terms of the diagnostic accuracy (Ac) with histological verification. The study used 70 excised breast cancer specimens with different morphological structure and molecular status (Luminal A, Luminal B, Her2/Neo+, non-luminal and triple-negative cancer). Our first aim was to formulate convenient criteria of visual assessment of CP-OCT and C-OCE images intended (i) to differentiate tumorous and non-tumorous tissues and (ii) to enable more precise differentiation among different malignant states. We identified such criteria based on the presence of heterogeneities and characteristics of signal attenuation in CP-OCT images, as well as the presence of inclusions/mosaic structures combined with visually feasible assessment of several stiffness grades in C-OCE images. Secondly, we performed a blinded reader study of the Ac of C-OCE versus CP-OCT, for delineation of tumorous versus non-tumorous tissues followed by identification of breast cancer subtypes. For tumor detection, C-OCE showed higher specificity than CP-OCT (97.5% versus 93.3%) and higher Ac (96.0 versus 92.4%). For the first time, the Ac of C-OCE and CP-OCT were evaluated for differentiation between non-invasive and invasive breast cancer (90.4% and 82.5%, respectively). Furthermore, for invasive cancers, the difference between invasive but low-aggressive and highly-aggressive subtypes can be detected. For differentiation between non-tumorous tissue and low-aggressive breast-cancer subtypes, Ac was 95.7% for C-OCE and 88.1% for CP-OCT. For differentiation between non-tumorous tissue and highly-aggressive breast cancers, Ac was found to be 98.3% for C-OCE and 97.2% for CP-OCT. In all cases C-OCE showed better diagnostic parameters independently of the tumor type. These findings confirm the high potential of OCT-based examinations for rapid and accurate diagnostics during breast conservation surgery.
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Kaushal C, Singla A. Automated segmentation technique with self‐driven post‐processing for histopathological breast cancer images. CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY 2020. [DOI: 10.1049/trit.2019.0077] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Chetna Kaushal
- Chitkara University Institute of Engineering and TechnologyChitkara UniversityPunjabIndia
| | - Anshu Singla
- Chitkara University Institute of Engineering and TechnologyChitkara UniversityPunjabIndia
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Plekhanov AA, Sirotkina MA, Sovetsky AA, Gubarkova EV, Kuznetsov SS, Matveyev AL, Matveev LA, Zagaynova EV, Gladkova ND, Zaitsev VY. Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography. Sci Rep 2020; 10:11781. [PMID: 32678175 PMCID: PMC7366713 DOI: 10.1038/s41598-020-68631-w] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 06/30/2020] [Indexed: 01/09/2023] Open
Abstract
We present a non-invasive (albeit contact) method based on Optical Coherence Elastography (OCE) enabling the in vivo segmentation of morphological tissue constituents, in particular, monitoring of morphological alterations during both tumor development and its response to therapies. The method uses compressional OCE to reconstruct tissue stiffness map as the first step. Then the OCE-image is divided into regions, for which the Young’s modulus (stiffness) falls in specific ranges corresponding to the morphological constituents to be discriminated. These stiffness ranges (characteristic "stiffness spectra") are initially determined by careful comparison of the "gold-standard" histological data and the OCE-based stiffness map for the corresponding tissue regions. After such pre-calibration, the results of morphological segmentation of OCE-images demonstrate a striking similarity with the histological results in terms of percentage of the segmented zones. To validate the sensitivity of the OCE-method and demonstrate its high correlation with conventional histological segmentation we present results obtained in vivo on a murine model of breast cancer in comparative experimental study of the efficacy of two antitumor chemotherapeutic drugs with different mechanisms of action. The new technique allowed in vivo monitoring and quantitative segmentation of (1) viable, (2) dystrophic, (3) necrotic tumor cells and (4) edema zones very similar to morphological segmentation of histological images. Numerous applications in other experimental/clinical areas requiring rapid, nearly real-time, quantitative assessment of tissue structure can be foreseen.
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Affiliation(s)
- Anton A Plekhanov
- Privolzhsky Research Medical University, Minin Square 10/1, Nizhny Novgorod, 603950, Russia
| | - Marina A Sirotkina
- Privolzhsky Research Medical University, Minin Square 10/1, Nizhny Novgorod, 603950, Russia.
| | - Alexander A Sovetsky
- Institute of Applied Physics, Russian Academy of Sciences, Ulyanov Street 46, Nizhny Novgorod, 603950, Russia
| | - Ekaterina V Gubarkova
- Privolzhsky Research Medical University, Minin Square 10/1, Nizhny Novgorod, 603950, Russia
| | - Sergey S Kuznetsov
- N.A. Semashko Nizhny Novgorod Regional Clinical Hospital, Rodionov Street 190, Nizhny Novgorod, 603126, Russia
| | - Alexander L Matveyev
- Institute of Applied Physics, Russian Academy of Sciences, Ulyanov Street 46, Nizhny Novgorod, 603950, Russia
| | - Lev A Matveev
- Institute of Applied Physics, Russian Academy of Sciences, Ulyanov Street 46, Nizhny Novgorod, 603950, Russia
| | - Elena V Zagaynova
- Privolzhsky Research Medical University, Minin Square 10/1, Nizhny Novgorod, 603950, Russia
| | - Natalia D Gladkova
- Privolzhsky Research Medical University, Minin Square 10/1, Nizhny Novgorod, 603950, Russia
| | - Vladimir Y Zaitsev
- Institute of Applied Physics, Russian Academy of Sciences, Ulyanov Street 46, Nizhny Novgorod, 603950, Russia
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30
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Zhang D, Li C, Huang Z. Relaxation time constant based optical coherence elastography. JOURNAL OF BIOPHOTONICS 2020; 13:e201960233. [PMID: 32166913 DOI: 10.1002/jbio.201960233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/19/2020] [Accepted: 03/08/2020] [Indexed: 06/10/2023]
Abstract
This study aimed at visualizing relative relaxation time constant (RTC) in soft tissue by using optical coherence elastography (OCE). We proposed a forced vibration model as a theoretical base to express RTC using axial gradient of periodic vibration phase captured by phase sensitive optical coherence tomography (PhS-OCT). Validation of the model had been accomplished by experiments with isotropic and double-layered phantoms. A fresh chicken breast sample treated with focused ultrasound was prepared to test performance of the RTC-OCE in real tissue. All results were cross-validated with indentation test and traditional strain-based elastography. This study first utilized RTC mapping in 2D and 3D that covers the information of both elasticity and viscosity. The generated RTC mapping revealed the same mechanical difference internal sample which is correlated with conventional strain mapping. RTC mapping is potentially to be served as new biomarker for disease diagnosis in the future.
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Affiliation(s)
- Duo Zhang
- School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
| | - Chunhui Li
- School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
| | - Zhihong Huang
- School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
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31
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Fang Q, Frewer L, Zilkens R, Krajancich B, Curatolo A, Chin L, Foo KY, Lakhiani DD, Sanderson RW, Wijesinghe P, Anstie JD, Dessauvagie BF, Latham B, Saunders CM, Kennedy BF. Handheld volumetric manual compression-based quantitative microelastography. JOURNAL OF BIOPHOTONICS 2020; 13:e201960196. [PMID: 32057188 DOI: 10.1002/jbio.201960196] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/27/2020] [Accepted: 02/04/2020] [Indexed: 05/20/2023]
Abstract
Compression optical coherence elastography (OCE) typically requires a mechanical actuator to impart a controlled uniform strain to the sample. However, for handheld scanning, this adds complexity to the design of the probe and the actuator stroke limits the amount of strain that can be applied. In this work, we present a new volumetric imaging approach that utilizes bidirectional manual compression via the natural motion of the user's hand to induce strain to the sample, realizing compact, actuator-free, handheld compression OCE. In this way, we are able to demonstrate rapid acquisition of three-dimensional quantitative microelastography (QME) datasets of a tissue volume (6 × 6 × 1 mm3 ) in 3.4 seconds. We characterize the elasticity sensitivity of this freehand manual compression approach using a homogeneous silicone phantom and demonstrate comparable performance to a benchtop mounted, actuator-based approach. In addition, we demonstrate handheld volumetric manual compression-based QME on a tissue-mimicking phantom with an embedded stiff inclusion and on freshly excised human breast specimens from both mastectomy and wide local excision (WLE) surgeries. Tissue results are coregistered with postoperative histology, verifying the capability of our approach to measure the elasticity of tissue and to distinguish stiff tumor from surrounding soft benign tissue.
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Affiliation(s)
- Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Luke Frewer
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Renate Zilkens
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Division of Surgery, Medical School, The University of Western Australia, Crawley, Western Australia, Australia
| | - Brooke Krajancich
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Andrea Curatolo
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- Optics and Biophotonics Group, Visual Instituto de Óptica "Daza de Valdés," Consejo Superior de Investigaciones Cientificas (IO, CSIC), Madrid, Spain
| | - Lixin Chin
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Ken Y Foo
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Devina D Lakhiani
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Rowan W Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Philip Wijesinghe
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- School of Physics and Astronomy (SUPA), University of St Andrews, St Andrews, UK
| | - James D Anstie
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
| | - Benjamin F Dessauvagie
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Crawley, Western Australia, Australia
| | - Bruce Latham
- PathWest, Fiona Stanley Hospital, Murdoch, Western Australia, Australia
- The University of Notre Dame, Fremantle, Western Australia, Australia
| | - Christobel M Saunders
- Division of Surgery, Medical School, The University of Western Australia, Crawley, Western Australia, Australia
- Breast Centre, Fiona Stanley Hospital, 11 Robin Warren Drive, Murdoch, Western Australia, Australia
- Breast Clinic, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Brendan F Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, Crawley, Western Australia, Australia
- Australian Research Council Centre for Personalised Therapeutics Technologies, Western Australia, Australia
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32
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Das S, Schill A, Liu CH, Aglyamov S, Larin KV. Laser-induced elastic wave classification: thermoelastic versus ablative regimes for all-optical elastography applications. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-13. [PMID: 32189479 PMCID: PMC7080210 DOI: 10.1117/1.jbo.25.3.035004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 03/04/2020] [Indexed: 05/03/2023]
Abstract
SIGNIFICANCE Shear wave optical coherence elastography is an emerging technique for characterizing tissue biomechanics that relies on the generation of elastic waves to obtain the mechanical contrast. Various techniques, such as contact, acoustic, and pneumatic methods, have been used to induce elastic waves. However, the lack of higher-frequency components within the elastic wave restricts their use in thin samples. The methods also require moving parts and/or tubing, which therefore limits the extent to which they can be miniaturized. AIM To overcome these limitations, we propose an all-optical approach using photothermal excitation. Depending on the absorption coefficient of the sample and the laser pulse energy, elastic waves are generated either through a thermoelastic or an ablative process. Our study aimed to experimentally determine the boundary between the thermoelastic and the ablative regimes for safe all-optical elastography applications. APPROACH Tissue-mimicking graphite-doped phantoms and chicken liver samples were used to investigate the boundary between thermoelastic and ablative regimes. A pulsed laser at 532 nm was used to induce elastic waves in the samples. Laser-induced elastic waves were detected using a line field low coherence holography instrument. The shape of the elastic wave amplitude was analyzed and used to determine the transition point between thermoelastic and ablative regimes. RESULTS The transition from the thermoelastic to the ablative regime is accompanied by the nonlinear increase in surface wave amplitude as well as the transformation of the wave shape. Correlation between the absorption coefficient and the transition point energy was experimentally determined using graphite-doped phantoms and applied to biological samples ex vivo. CONCLUSIONS Our study described a methodology for determining the boundary region between thermoelastic and ablative regimes of elastic wave generation. These can be used for the development of a safe method for completely noncontact, all-optical microscale assessment of tissue biomechanics using laser-induced elastic waves.
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Affiliation(s)
- Susobhan Das
- University of Houston, Department of Biomedical Engineering, Houston, Texas, United States
| | - Alexander Schill
- University of Houston, Department of Biomedical Engineering, Houston, Texas, United States
| | - Chih-Hao Liu
- University of Houston, Department of Biomedical Engineering, Houston, Texas, United States
| | - Salavat Aglyamov
- University of Houston, Department of Mechanical Engineering, Houston, Texas, United States
| | - Kirill V. Larin
- University of Houston, Department of Biomedical Engineering, Houston, Texas, United States
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Sirotkina MA, Gubarkova EV, Plekhanov AA, Sovetsky AA, Elagin VV, Matveyev AL, Matveev LA, Kuznetsov SS, Zagaynova EV, Gladkova ND, Zaitsev VY. In vivo assessment of functional and morphological alterations in tumors under treatment using OCT-angiography combined with OCT-elastography. BIOMEDICAL OPTICS EXPRESS 2020; 11:1365-1382. [PMID: 32206416 PMCID: PMC7075625 DOI: 10.1364/boe.386419] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/08/2020] [Accepted: 02/09/2020] [Indexed: 05/13/2023]
Abstract
Emerging methods of anti-tumor therapies require new approaches to tumor response evaluation, especially enabling label-free diagnostics and in vivo utilization. Here, to assess the tumor early reaction and predict its long-term response, for the first time we apply in combination the recently developed OCT extensions - optical coherence angiography (OCA) and compressional optical coherence elastography (OCE), thus enabling complementary functional/microstructural tumor characterization. We study two vascular-targeted therapies of different types, (1) anti-angiogenic chemotherapy (ChT) and (2) photodynamic therapy (PDT), aimed to indirectly kill tumor cells through blood supply injury. Despite different mechanisms of anti-angiogenic action for ChT and PDT, in both cases OCA demonstrated high sensitivity to blood perfusion cessation. The new method of OCE-based morphological segmentation revealed very similar histological structure alterations. The OCE results showed high correlation with conventional histology in evaluating percentages of necrotic and viable tumor zones. Such possibilities make OCE an attractive tool enabling previously inaccessible in vivo monitoring of individual tumor response to therapies without taking multiple biopsies.
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Affiliation(s)
| | | | | | | | - Vadim V. Elagin
- Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | | | - Lev A. Matveev
- Institute of Applied Physics RAS, Nizhny Novgorod, Russia
| | - Sergey S. Kuznetsov
- N.A. Semashko Nizhny Novgorod Regional Clinical Hospital, Nizhny Novgorod, Russia
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34
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Liu X, Liu Y, Hubbi B, Zhou X, Peters S. Spatial coordinate corrected motion tracking for optical coherence elastography. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2020; 11242:1124218. [PMID: 32801425 PMCID: PMC7425701 DOI: 10.1117/12.2546070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We develop a spatial coordinate corrected (SCC) motion tracking method for optical coherence elastography. SCC motion tracking refers the instantaneous velocity field extracted from optical coherence tomography (OCT) data to the laboratory coordinate system and accurately reconstructs the displacement field established during the mechanical excitation (compression) process. We acquired image data from compression OCE experiments on human breast tissue specimens, and reconstructed the displacement field through Doppler analysis of OCT data. Our results suggested that SCC tracking enables accurate reconstruction of displacement field, and enables effective identification mechanical heterogeneity that can be used as a biomarker for cancer diagnosis and tumor margin assessment.
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Affiliation(s)
- Xuan Liu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology
| | - Yuwei Liu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology
| | - Basil Hubbi
- University Hospital, New Jersey Medical School
| | - Xianlian Zhou
- Department of Biomedical Engineering, New Jersey Institute of Technology
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35
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Zhang D, Wang J, Li C, Huang Z. Optimal stimulation frequency for vibrational optical coherence elastography. JOURNAL OF BIOPHOTONICS 2020; 13:e201960066. [PMID: 31602796 DOI: 10.1002/jbio.201960066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 09/24/2019] [Accepted: 09/27/2019] [Indexed: 05/25/2023]
Abstract
Vibrational optical coherence elastography (OCE) is a promising tool for extracting the mechanical property of soft tissue. Purpose of this study is focusing on settling the optimal frequency range for vibrational OCE with evenly distributed stress filed. A finite element model of 2% agar phantom was built by ANSYS with a vibration stimulation frequency range from 200 to 3000 Hz. Practical experiments were carried out for cross-validation with the same frequencies and sample. Lateral and horizontal stress filed distributions under different frequencies were mathematically evaluated by coefficient of variance and degree of linearity. Results from simulation and practical experiment cross-validated each other and 1000 Hz was set as the maximum ideal frequency for vibrational OCE, while the minimum frequency is set by theoretical calculation with a result of 250 Hz. An ex vivo biological sample was utilised to testify performance of vibrational OCE with excitation frequencies in and out of concluded optimal range, which showed that stiffness was better mapped out in optimal frequency range.
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Affiliation(s)
- Duo Zhang
- School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
| | - Jinjiang Wang
- School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, People's Republic of China
| | - Chunhui Li
- School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
| | - Zhihong Huang
- School of Science and Engineering, University of Dundee, Dundee, Scotland, UK
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36
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Liu X, Hubbi B, Zhou X. Spatial coordinate corrected motion tracking for optical coherence elastography. BIOMEDICAL OPTICS EXPRESS 2019; 10:6160-6171. [PMID: 31853392 PMCID: PMC6913417 DOI: 10.1364/boe.10.006160] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/03/2019] [Accepted: 11/04/2019] [Indexed: 05/28/2023]
Abstract
We investigate a spatial coordinate correction (SCC) method to track motion with high accuracy for optical coherence elastography (OCE). Through SCC, we refer the displacement field tracked by optical coherence tomography (OCT) in the loaded sample to individual material points defined in a fixed coordinate system. SCC allows OCE to perform spatially and temporally unambiguous tracking of displacement and enables accurate mechanical characterization of biological tissue for cancer diagnosis and tumor margin assessment. In this study, we validated the effectiveness of motion tracking based on SCC using experimental OCE data obtained from ex vivo human breast tissues.
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Affiliation(s)
- Xuan Liu
- Department of Electrical and Computer Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
| | - Basil Hubbi
- Department of Radiology, New Jersey Medical School, Newark, NJ 07103, USA
| | - Xianlian Zhou
- Department of Biomedical Engineering, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USA
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37
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Larin KV, Zhu D, Priezzhev A, Sampson DD. Recent progress in optical probing and manipulation of tissue: introduction. BIOMEDICAL OPTICS EXPRESS 2019; 10:5159-5161. [PMID: 31646038 PMCID: PMC6788591 DOI: 10.1364/boe.10.005159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Indexed: 05/03/2023]
Abstract
This feature issue of Biomedical Optics Express represents a cross-section of the most recent work in tissue optics, including exciting developments in tissue optical clearing, deep tissue imaging, optical elastography, nanophotonics in tissue, and therapeutic applications of light, amongst others. A collection of 33 papers provides a comprehensive overview of current research in tissue optics, much of it inspired and informed by the pioneering work of Prof. Valery Tuchin. The issue contains three invited manuscripts and several mini-reviews that we hope will benefit researchers in this exciting area.
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Affiliation(s)
- Kirill V Larin
- Department of Biomedical Engineering, University of Houston, 3605 Cullen Boulevard, Houston, Texas 77204, USA
| | - Dan Zhu
- Britton Chance Center for Biomedical Photonics, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China
| | - Alexander Priezzhev
- Department of Physics and International Laser Center, Lomonosov Moscow State University, 1-2 Leninskie Gory, Moscow, 119992, Russia
| | - David D Sampson
- Surrey Biophotonics, School of Biosciences and Medicine, and Department of Physics, University of Surrey, Guildford, United Kingdom
- Optical + Biomedical Engineering Laboratory, Department of Electrical, Electronic & Computer Engineering, University of Western Australia, 35 Stirling Highway, Perth, Western Australia
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