1
|
Janjua OS, Jeelani W, Khan MI, Qureshi SM, Shaikh MS, Zafar MS, Khurshid Z. Use of Optical Coherence Tomography in Dentistry. Int J Dent 2023; 2023:4179210. [PMID: 38111754 PMCID: PMC10727803 DOI: 10.1155/2023/4179210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 12/20/2023] Open
Abstract
Optical coherence tomography (OCT) is an optics-based imaging technique, which may be called an "optical biopsy." It can be used to acquire structural information about a tissue at a resolution comparable to histopathology. OCT is based on the principle of low-coherence interferometry where near-infrared (NIR) light is shown on a tissue sample and then cross-sectional images are obtained based on backscattered light and echo time delay. Two main types of OCT are characterized as time-domain OCT (TD-OCT) and Fourier-domain OCT (FD-OCT). The applications of OCT in dentistry can be broadly divided into two groups, i.e., assessment of pathologies and assessment of surfaces and interfaces. Lately, OCT has made its transition from experimental laboratories to mainstream clinical applications. Starting from the short-term training courses, clinicians working in specialities like oral pathology, oral medicine, and oral implantology may find it a useful tool for their practices. It is now clear that OCT will be considered a gold standard diagnostic tool for the detection and characterization of several conditions and lesions of the orofacial region. However, the next challenge will be to incorporate it into the undergraduate and postgraduate curriculum and train dental healthcare staff in the use of these devices.
Collapse
Affiliation(s)
- Omer Sefvan Janjua
- Department of Oral and Maxillofacial Surgery, PMC Dental Institute, Faisalabad Medical University, Faisalabad, Pakistan
| | - Waqar Jeelani
- Department of Orthodontics, College of Dentistry, Bakhtawar Amin Medical and Dental College, Multan, Pakistan
| | | | - Sana Mehmood Qureshi
- Department of Oral Pathology, PMC Dental Institute, Faisalabad Medical University, Faisalabad, Pakistan
| | - Muhammad Saad Shaikh
- Department of Oral Biology, Sindh Institute of Oral Health Sciences, Jinnah Sindh Medical University, Karachi 75510, Pakistan
| | - Muhammad Sohail Zafar
- Department of Restorative Dentistry, College of Dentistry, Taibah University, Al Madinah, Al Munawwarah, 41311, Saudi Arabia
- School of Dentistry, University of Jordan, Amman 11942, Jordan
- Department of Dental Materials, Islamic International Dental College, Riphah International University, Islamabad 44000, Pakistan
| | - Zohaib Khurshid
- Department of Prosthodontics and Dental Implantology, College of Dentistry, King Faisal University, Al-Ahsa 31982, Saudi Arabia
| |
Collapse
|
2
|
Warren JL, Yoo JE, Meyer CA, Molony DS, Samady H, Hayenga HN. Automated finite element approach to generate anatomical patient-specific biomechanical models of atherosclerotic arteries from virtual histology-intravascular ultrasound. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:1008540. [PMID: 36523426 PMCID: PMC9745200 DOI: 10.3389/fmedt.2022.1008540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2023] Open
Abstract
Despite advancements in early detection and treatment, atherosclerosis remains the leading cause of death across all cardiovascular diseases (CVD). Biomechanical analysis of atherosclerotic lesions has the potential to reveal biomechanically instable or rupture-prone regions. Treatment decisions rarely consider the biomechanics of the stenosed lesion due in-part to difficulties in obtaining this information in a clinical setting. Previous 3D FEA approaches have incompletely incorporated the complex curvature of arterial geometry, material heterogeneity, and use of patient-specific data. To address these limitations and clinical need, herein we present a user-friendly fully automated program to reconstruct and simulate the wall mechanics of patient-specific atherosclerotic coronary arteries. The program enables 3D reconstruction from patient-specific data with heterogenous tissue assignment and complex arterial curvature. Eleven arteries with coronary artery disease (CAD) underwent baseline and 6-month follow-up angiographic and virtual histology-intravascular ultrasound (VH-IVUS) imaging. VH-IVUS images were processed to remove background noise, extract VH plaque material data, and luminal and outer contours. Angiography data was used to orient the artery profiles along the 3D centerlines. The resulting surface mesh is then resampled for uniformity and tetrahedralized to generate the volumetric mesh using TetGen. A mesh convergence study revealed edge lengths between 0.04 mm and 0.2 mm produced constituent volumes that were largely unchanged, hence, to save computational resources, a value of 0.2 mm was used throughout. Materials are assigned and finite element analysis (FEA) is then performed to determine stresses and strains across the artery wall. In a representative artery, the highest average effective stress was in calcium elements with 235 kPa while necrotic elements had the lowest average stress, reaching as low as 0.79 kPa. After applying nodal smoothening, the maximum effective stress across 11 arteries remained below 288 kPa, implying biomechanically stable plaques. Indeed, all atherosclerotic plaques remained unruptured at the 6-month longitudinal follow up diagnosis. These results suggest our automated analysis may facilitate assessment of atherosclerotic plaque stability.
Collapse
Affiliation(s)
- Jeremy L. Warren
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, United States
| | - John E. Yoo
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, United States
| | - Clark A. Meyer
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, United States
| | - David S. Molony
- Northeast Georgia Health System, Georgia Heart Institute, Gainesville, GA, United States
| | - Habib Samady
- Northeast Georgia Health System, Georgia Heart Institute, Gainesville, GA, United States
| | - Heather N. Hayenga
- Department of Bioengineering, University of Texas at Dallas, Richardson, TX, United States
| |
Collapse
|
3
|
OCT-Guided Surgery for Gliomas: Current Concept and Future Perspectives. Diagnostics (Basel) 2022; 12:diagnostics12020335. [PMID: 35204427 PMCID: PMC8871129 DOI: 10.3390/diagnostics12020335] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/19/2022] [Accepted: 01/26/2022] [Indexed: 02/01/2023] Open
Abstract
Optical coherence tomography (OCT) has been recently suggested as a promising method to obtain in vivo and real-time high-resolution images of tissue structure in brain tumor surgery. This review focuses on the basics of OCT imaging, types of OCT images and currently suggested OCT scanner devices and the results of their application in neurosurgery. OCT can assist in achieving intraoperative precision identification of tumor infiltration within surrounding brain parenchyma by using qualitative or quantitative OCT image analysis of scanned tissue. OCT is able to identify tumorous tissue and blood vessels detection during stereotactic biopsy procedures. The combination of OCT with traditional imaging such as MRI, ultrasound and 5-ALA fluorescence has the potential to increase the safety and accuracy of the resection. OCT can improve the extent of resection by offering the direct visualization of tumor with cellular resolution when using microscopic OCT contact probes. The theranostic implementation of OCT as a part of intelligent optical diagnosis and automated lesion localization and ablation could achieve high precision, automation and intelligence in brain tumor surgery. We present this review for the increase of knowledge and formation of critical opinion in the field of OCT implementation in brain tumor surgery.
Collapse
|
4
|
Zhang R, Xu Z, Hao J, Yu J, Liu Z, Liu S, Chen W, Zhou J, Li H, Lin Z, Zheng W. Label-free identification of human coronary atherosclerotic plaque based on a three-dimensional quantitative assessment of multiphoton microscopy images. BIOMEDICAL OPTICS EXPRESS 2021; 12:2979-2995. [PMID: 34168910 PMCID: PMC8194630 DOI: 10.1364/boe.422525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/12/2021] [Accepted: 04/15/2021] [Indexed: 06/13/2023]
Abstract
The rupture of coronary atherosclerotic plaque (CAP) and the resulting intracoronary thrombosis account for most acute coronary syndromes. Thus, the early identification and risk assessment of CAP is crucial for timely medical intervention. In this study, we propose a quantitative and label-free method for human CAP identification using multiphoton microscopy (MPM) and three-dimensional (3D) image analysis techniques. By detecting the intrinsic MPM signals, the microstructures of collagen and elastin fibers within normal and CAP-lesioned human coronary artery walls were imaged. Using a 3D gray level co-occurrence matrix method and 3D weighted vector summation algorithm, quantitative indicators that characterize the spatial texture and orientation features of the fibers were extracted. We demonstrate that these indicators show superior accuracy and repeatability over 2D texture features in CAP discrimination. Furthermore, by combining the 3D microstructural indicators, a support vector machine model that classifies CAP from the normal arterial wall with an accuracy of >97% was established. In conjunction with advances in multiphoton endoscopy, the proposed method shows great potential in providing a quantitative, label-free, and real-time tool for the early identification and risk assessment of CAP in the future.
Collapse
Affiliation(s)
- Rongli Zhang
- Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
- Department of Cardiology, Guangdong Provincial Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
- Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhongbiao Xu
- Department of Radiotherapy, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
| | - Junhai Hao
- Department of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
| | - Jia Yu
- Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhiyi Liu
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Shun Liu
- Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710021, China
| | - Wanwen Chen
- Department of Cardiology, Guangdong Provincial Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
| | - Jiahui Zhou
- Department of Cardiology, Guangdong Provincial Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
| | - Hui Li
- Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhanyi Lin
- Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
- Department of Cardiology, Guangdong Provincial Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China
| | - Wei Zheng
- Research Center for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| |
Collapse
|
5
|
Yashin KS, Kiseleva EB, Gubarkova EV, Moiseev AA, Kuznetsov SS, Shilyagin PA, Gelikonov GV, Medyanik IA, Kravets LY, Potapov AA, Zagaynova EV, Gladkova ND. Cross-Polarization Optical Coherence Tomography for Brain Tumor Imaging. Front Oncol 2019; 9:201. [PMID: 31001471 PMCID: PMC6455095 DOI: 10.3389/fonc.2019.00201] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 03/11/2019] [Indexed: 12/23/2022] Open
Abstract
This paper considers valuable visual assessment criteria for distinguishing between tumorous and non-tumorous tissues, intraoperatively, using cross-polarization OCT (CP OCT)—OCT with a functional extension, that enables detection of the polarization properties of the tissues in addition to their conventional light scattering. Materials and Methods: The study was performed on 176 ex vivo human specimens obtained from 30 glioma patients. To measure the degree to which the typical parameters of CP OCT images can be matched to the actual histology, 100 images of tumors and white matter were selected for visual analysis to be undertaken by three “single-blinded” investigators. An evaluation of the inter-rater reliability between the investigators was performed. Application of the identified visual CP OCT criteria for intraoperative use was performed during brain tumor resection in 17 patients. Results: The CP OCT image parameters that can typically be used for visual assessment were separated: (1) signal intensity; (2) homogeneity of intensity; (3) attenuation rate; (4) uniformity of attenuation. The degree of match between the CP OCT images and the histology of the specimens was significant for the parameters “signal intensity” in both polarizations, and “homogeneity of intensity” as well as the “uniformity of attenuation” in co-polarization. A test based on the identified criteria showed a diagnostic accuracy of 87–88%. Intraoperative in vivo CP OCT images of white matter and tumors have similar signals to ex vivo ones, whereas the cortex in vivo is characterized by indicative vertical striations arising from the “shadows” of the blood vessels; these are not seen in ex vivo images or in the case of tumor invasion. Conclusion: Visual assessment of CP OCT images enables tumorous and non-tumorous tissues to be distinguished. The most powerful aspect of CP OCT images that can be used as a criterion for differentiation between tumorous tissue and white matter is the signal intensity. In distinguishing white matter from tumors the diagnostic accuracy using the identified visual CP OCT criteria was 87–88%. As the CP OCT data is easily associated with intraoperative neurophysiological and neuronavigation findings this can provide valuable complementary information for the neurosurgeon tumor resection.
Collapse
Affiliation(s)
- Konstantin S Yashin
- Microneurosurgery Group, University Clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena B Kiseleva
- Laboratory of Optical Coherence Tomography, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Ekaterina V Gubarkova
- Laboratory of Optical Coherence Tomography, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Alexander A Moiseev
- Laboratory of High-Sensitivity Optical Measurements, Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Sergey S Kuznetsov
- Department of Anatomical Pathology, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Pavel A Shilyagin
- Laboratory of High-Sensitivity Optical Measurements, Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Grigory V Gelikonov
- Laboratory of High-Sensitivity Optical Measurements, Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Igor A Medyanik
- Microneurosurgery Group, University Clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Leonid Ya Kravets
- Microneurosurgery Group, University Clinic, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Alexander A Potapov
- Federal State Autonomous Institution "N.N. Burdenko National Scientific and Practical Center for Neurosurgery" of the Ministry of Healthcare of the Russian Federation, Moscow, Russia
| | - Elena V Zagaynova
- Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Natalia D Gladkova
- Laboratory of Optical Coherence Tomography, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| |
Collapse
|
6
|
Quantitative nontumorous and tumorous human brain tissue assessment using microstructural co- and cross-polarized optical coherence tomography. Sci Rep 2019; 9:2024. [PMID: 30765763 PMCID: PMC6375924 DOI: 10.1038/s41598-019-38493-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 12/31/2018] [Indexed: 01/09/2023] Open
Abstract
Optical coherence tomography (OCT) is a promising method for detecting cancer margins during tumor resection. This study focused on differentiating tumorous from nontumorous tissues in human brain tissues using cross-polarization OCT (CP OCT). The study was performed on fresh ex vivo human brain tissues from 30 patients with high- and low-grade gliomas. Different tissue types that neurosurgeons should clearly distinguish during surgery, such as the cortex, white matter, necrosis and tumorous tissue, were separately analyzed. Based on volumetric CP OCT data, tumorous and normal brain tissue were differentiated using two optical coefficients — attenuation and forward cross-scattering. Compared with white matter, tumorous tissue without necrotic areas had significantly lower optical attenuation and forward cross-scattering values. The presence of particular morphological patterns, such as necrosis and injured myelinated fibers, can lead to dramatic changes in coefficient values and create some difficulties in differentiating between tissues. Color-coded CP OCT maps based on optical coefficients provided a visual assessment of the tissue. This study demonstrated the high translational potential of CP OCT in differentiating tumorous tissue from white matter. The clinical use of CP OCT during surgery in patients with gliomas could increase the extent of tumor resection and improve overall and progression-free survival.
Collapse
|
7
|
Kochueva M, Dudenkova V, Kuznetsov S, Varlamova A, Sergeeva E, Kiseleva E, Maslennikova A. Quantitative assessment of radiation-induced changes of bladder and rectum collagen structure using optical methods. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-8. [PMID: 30136470 DOI: 10.1117/1.jbo.23.9.091417] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 07/20/2018] [Indexed: 06/08/2023]
Abstract
The objective of the study is the quantitative analysis of the dose-time dependences of changes occurring in collagen of bladder and rectum after gamma-irradiation using optical methods [nonlinear microscopy in a second harmonic generation (SHG) detection regime and cross-polarization optical coherence tomography (CP OCT)]. For quantitative assessment of the collagen structure, regions of interest on the SHG-images of two-dimensional (2-D) distribution of SHG signal intensity of collagen were chosen in the submucosa. The mean SHG signal intensity and its standard deviation were calculated by ImageJ 1.39p (NIH). For quantitative analysis of CP OCT data, an integral depolarization factor (IDF) was calculated. Quantitative calculation of the SHG signal intensity and the IDF can provide additional information about the processes of the collagen radiation-induced degradation and subsequent remodeling. High positive correlation between the mean SHG signal intensity and the mean IDF of bladder and rectum demonstrates that CP OCT can be used as an "optical biopsy" in the grading of collagen radiation damage.
Collapse
Affiliation(s)
- Marina Kochueva
- Nizhny Novgorod State Medical Academy (NNSMA), Department of Oncology, Radiation Therapy, Radiation, Russia
| | - Varvara Dudenkova
- NNSMA, Institute of Biomedical Technologies, Laboratory of Studying Optical Structure of Biotissues,, Russia
| | - Sergey Kuznetsov
- NNSMA, Department of Pathological Anatomy, Nizhny Novgorod, Russia
| | - Angelina Varlamova
- Lobachevsky State University, Institute of Biology and Biomedicine, Department of Biophysics, Gagari, Russia
| | - Ekaterina Sergeeva
- Institute of Applied Physics RAS, Laboratory for Optical Techniques, Department for Radiophysics Met, Russia
| | - Elena Kiseleva
- NNSMA, Institute of Biomedical Technologies, Laboratory of Studying Optical Structure of Biotissues,, Russia
| | - Anna Maslennikova
- Nizhny Novgorod State Medical Academy (NNSMA), Department of Oncology, Radiation Therapy, Radiation, Russia
- Lobachevsky State University, Institute of Biology and Biomedicine, Department of Biophysics, Gagari, Russia
| |
Collapse
|
8
|
Small DM, Jones JS, Tendler II, Miller PE, Ghetti A, Nishimura N. Label-free imaging of atherosclerotic plaques using third-harmonic generation microscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:214-229. [PMID: 29359098 PMCID: PMC5772576 DOI: 10.1364/boe.9.000214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/24/2017] [Accepted: 12/02/2017] [Indexed: 05/18/2023]
Abstract
Multiphoton microscopy using laser sources in the mid-infrared range (MIR, 1,300 nm and 1,700 nm) was used to image atherosclerotic plaques from murine and human samples. Third harmonic generation (THG) from atherosclerotic plaques revealed morphological details of cellular and extracellular lipid deposits. Simultaneous nonlinear optical signals from the same laser source, including second harmonic generation and endogenous fluorescence, resulted in label-free images of various layers within the diseased vessel wall. The THG signal adds an endogenous contrast mechanism with a practical degree of specificity for atherosclerotic plaques that complements current nonlinear optical methods for the investigation of cardiovascular disease. Our use of whole-mount tissue and backward scattered epi-detection suggests THG could potentially be used in the future as a clinical tool.
Collapse
Affiliation(s)
- David M. Small
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
- Contributed equally
| | - Jason S. Jones
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
- Contributed equally
| | - Irwin I. Tendler
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
| | - Paul E. Miller
- Anabios Corporation, 3030 Bunker Hill St., San Diego, CA 92109, USA
| | - Andre Ghetti
- Anabios Corporation, 3030 Bunker Hill St., San Diego, CA 92109, USA
| | - Nozomi Nishimura
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
| |
Collapse
|
9
|
Gubarkova EV, Kirillin MY, Dudenkova VV, Timashev PS, Kotova SL, Kiseleva EB, Timofeeva LB, Belkova GV, Solovieva AB, Moiseev AA, Gelikonov GV, Fiks II, Feldchtein FI, Gladkova ND. Quantitative evaluation of atherosclerotic plaques using cross-polarization optical coherence tomography, nonlinear, and atomic force microscopy. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:126010. [PMID: 27997633 DOI: 10.1117/1.jbo.21.12.126010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 11/28/2016] [Indexed: 06/06/2023]
Abstract
A combination of approaches to the image analysis in cross-polarization optical coherence tomography (CP OCT) and high-resolution imaging by nonlinear microscopy and atomic force microscopy (AFM) at the different stages of atherosclerotic plaque development is studied. This combination allowed us to qualitatively and quantitatively assess the disorganization of collagen in the atherosclerotic arterial tissue (reduction and increase of CP backscatter), at the fiber (change of the geometric distribution of fibers in the second-harmonic generation microscopy images) and fibrillar (violation of packing and different nature of a basket-weave network of fibrils in the AFM images) organization levels. The calculated CP channel-related parameters are shown to have a statistically significant difference between stable and unstable (also called vulnerable) plaques, and hence, CP OCT could be a potentially powerful, minimally invasive method for vulnerable plaques detection.
Collapse
Affiliation(s)
- Ekaterina V Gubarkova
- Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603950, Russia
| | - Mikhail Yu Kirillin
- Institute of Applied Physics RAS, 46 Ulyanov Street, Nizhny Novgorod 603950, Russia
| | - Varvara V Dudenkova
- Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603950, RussiacN.I. Lobachevsky State University of Nizhny Novgorod, 23 Gagarin Avenue, Nizhny Novgorod 603950, Russia
| | - Peter S Timashev
- Institute of Photonic Technologies, Research Center of Crystallography and Photonics RAS, 2 Pionerskaya Street, Troitsk, Moscow 142190, RussiaeI.M. Sechenov First Moscow State Medical University, 2-4 Bolshaya Pirogovskaya Street, Moscow 119991, Russia
| | - Svetlana L Kotova
- N.N. Semenov Institute of Chemical Physics, 4 Kosygin Street, Moscow 119991, Russia
| | - Elena B Kiseleva
- Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603950, Russia
| | - Lidia B Timofeeva
- Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603950, Russia
| | - Galina V Belkova
- N.N. Semenov Institute of Chemical Physics, 4 Kosygin Street, Moscow 119991, Russia
| | - Anna B Solovieva
- N.N. Semenov Institute of Chemical Physics, 4 Kosygin Street, Moscow 119991, Russia
| | - Alexander A Moiseev
- Institute of Applied Physics RAS, 46 Ulyanov Street, Nizhny Novgorod 603950, Russia
| | - Gregory V Gelikonov
- Institute of Applied Physics RAS, 46 Ulyanov Street, Nizhny Novgorod 603950, Russia
| | - Ilya I Fiks
- Institute of Applied Physics RAS, 46 Ulyanov Street, Nizhny Novgorod 603950, Russia
| | - Felix I Feldchtein
- Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603950, Russia
| | - Natalia D Gladkova
- Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod 603950, Russia
| |
Collapse
|
10
|
Shiu YT, Litovsky SH, Cheung AK, Pike DB, Tey JCS, Zhang Y, Young CJ, Robbin M, Hoyt K, Allon M. Preoperative Vascular Medial Fibrosis and Arteriovenous Fistula Development. Clin J Am Soc Nephrol 2016; 11:1615-1623. [PMID: 27577243 PMCID: PMC5012471 DOI: 10.2215/cjn.00500116] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 04/18/2016] [Indexed: 01/02/2023]
Abstract
BACKGROUND AND OBJECTIVES Arteriovenous fistula maturation requires an increase in the diameter and blood flow of the feeding artery and the draining vein after its creation. The structural properties of the native vessels may affect the magnitude of these changes. We hypothesized that an increase in the collagen content of the vascular media (medial fibrosis) preoperatively would impair vascular dilation and thereby, limit the postoperative increase in arteriovenous fistula diameter and blood flow and clinical arteriovenous fistula maturation. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS We enrolled 125 patients undergoing arteriovenous fistula creation between October of 2008 and April of 2012 and followed them prospectively. Any consenting subject was eligible. Arterial and venous specimens were sampled during arteriovenous fistula surgery. Masson's trichrome-stained samples were used to quantify medial fibrosis. Arteriovenous fistula diameter and blood flow were quantified using 6-week postoperative ultrasound. Clinical arteriovenous fistula maturation was assessed using a predefined protocol. The association of preexisting vascular medial fibrosis with arteriovenous fistula outcomes was evaluated after controlling for baseline demographics, comorbidities, and the preoperative venous diameter. RESULTS The mean medial fibrosis was 69%±14% in the arteries and 63%±12% in the veins. Arterial medial fibrosis was associated with greater increases in arteriovenous fistula diameter (Δdiameter =0.58 mm; 95% confidence interval [95% CI], 0.27 to 0.89 mm; P<0.001) and arteriovenous fistula blood flow (Δblood flow =85 ml/min; 95% CI, 19 to 150 ml/min; P=0.01) and a lower risk of clinical arteriovenous fistula nonmaturation (odds ratio, 0.71; 95% CI, 0.51 to 0.99; P=0.04), all per 10% absolute difference in medial fibrosis. In contrast, venous medial fibrosis was not associated with the postoperative arteriovenous fistula diameter, blood flow, or clinical maturation. CONCLUSIONS Preoperative arterial medial fibrosis was associated with greater arteriovenous fistula diameter and blood flow and a lower risk of clinical arteriovenous fistula nonmaturation. This unexpected observation suggests that medial fibrosis promotes arteriovenous fistula development by yet undefined mechanisms or alternatively, that a third factor promotes both medial fibrosis and arteriovenous fistula maturation.
Collapse
Affiliation(s)
| | | | - Alfred K. Cheung
- Divisions of Nephrology and Hypertension, and
- Renal Section, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China; and
| | | | | | | | | | | | - Kenneth Hoyt
- Department of Bioengineering, University of Texas at Dallas, Dallas, Texas
| | - Michael Allon
- Division of Nephrology University of Alabama at Birmingham, Birmingham, Alabama
| |
Collapse
|
11
|
Tuchin VV. Polarized light interaction with tissues. JOURNAL OF BIOMEDICAL OPTICS 2016; 21:71114. [PMID: 27121763 DOI: 10.1117/1.jbo.21.7.071114] [Citation(s) in RCA: 132] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 03/22/2016] [Indexed: 05/02/2023]
Abstract
This tutorial-review introduces the fundamentals of polarized light interaction with biological tissues and presents some of the recent key polarization optical methods that have made possible the quantitative studies essential for biomedical diagnostics. Tissue structures and the corresponding models showing linear and circular birefringence, dichroism, and chirality are analyzed. As the basis for a quantitative description of the interaction of polarized light with tissues, the theory of polarization transfer in a random medium is used. This theory employs the modified transfer equation for Stokes parameters to predict the polarization properties of single- and multiple-scattered optical fields. The near-order of scatterers in tissues is accounted for to provide an adequate description of tissue polarization properties. Biomedical diagnostic techniques based on polarized light detection, including polarization imaging and spectroscopy, amplitude and intensity light scattering matrix measurements, and polarization-sensitive optical coherence tomography are described. Examples of biomedical applications of these techniques for early diagnostics of cataracts, detection of precancer, and prediction of skin disease are presented. The substantial reduction of light scattering multiplicity at tissue optical clearing that leads to a lesser influence of scattering on the measured intrinsic polarization properties of the tissue and allows for more precise quantification of these properties is demonstrated.
Collapse
Affiliation(s)
- Valery V Tuchin
- Saratov National Research State University, Research-Educational Institute of Optics and Biophotonics, 83 Astrakhanskaya street, Saratov 410012, RussiabInstitute of Precision Mechanics and Control of Russian Academy of Sciences, 24 Rabochaya street, Sarat
| |
Collapse
|