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Wijesinghe RE, Kahatapitiya NS, Lee C, Han S, Kim S, Saleah SA, Seong D, Silva BN, Wijenayake U, Ravichandran NK, Jeon M, Kim J. Growing Trend to Adopt Speckle Variance Optical Coherence Tomography for Biological Tissue Assessments in Pre-Clinical Applications. MICROMACHINES 2024; 15:564. [PMID: 38793137 PMCID: PMC11122893 DOI: 10.3390/mi15050564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024]
Abstract
Speckle patterns are a generic feature in coherent imaging techniques like optical coherence tomography (OCT). Although speckles are granular like noise texture, which degrades the image, they carry information that can be benefited by processing and thereby furnishing crucial information of sample structures, which can serve to provide significant important structural details of samples in in vivo longitudinal pre-clinical monitoring and assessments. Since the motions of tissue molecules are indicated through speckle patterns, speckle variance OCT (SV-OCT) can be well-utilized for quantitative assessments of speckle variance (SV) in biological tissues. SV-OCT has been acknowledged as a promising method for mapping microvasculature in transverse-directional blood vessels with high resolution in micrometers in both the transverse and depth directions. The fundamental scope of this article reviews the state-of-the-art and clinical benefits of SV-OCT to assess biological tissues for pre-clinical applications. In particular, focus on precise quantifications of in vivo vascular response, therapy assessments, and real-time temporal vascular effects of SV-OCT are primarily emphasized. Finally, SV-OCT-incorporating pre-clinical techniques with high potential are presented for future biomedical applications.
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Affiliation(s)
- Ruchire Eranga Wijesinghe
- Department of Electrical and Electronic Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka;
- Center for Excellence in Intelligent Informatics, Electronics & Transmission (CIET), Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka
| | - Nipun Shantha Kahatapitiya
- Department of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka; (N.S.K.); (U.W.)
| | - Changho Lee
- Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju 61186, Republic of Korea
- Department of Nuclear Medicine, Chonnam National University Medical School & Hwasun Hospital, 264, Seoyang-ro, Hwasun 58128, Republic of Korea
| | - Sangyeob Han
- ICT Convergence Research Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
| | - Shinheon Kim
- ICT Convergence Research Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
| | - Sm Abu Saleah
- ICT Convergence Research Center, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
| | - Daewoon Seong
- School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
| | - Bhagya Nathali Silva
- Center for Excellence in Intelligent Informatics, Electronics & Transmission (CIET), Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka
- Faculty of Computing, Sri Lanka Institute of Information Technology, Malabe 10115, Sri Lanka
| | - Udaya Wijenayake
- Department of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura, Nugegoda 10250, Sri Lanka; (N.S.K.); (U.W.)
| | - Naresh Kumar Ravichandran
- Center for Scientific Instrumentation, Korea Basic Science Institute, 169-148, Gwahak-ro, Yuseong-gu, Daejeon 34133, Republic of Korea
| | - Mansik Jeon
- School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
| | - Jeehyun Kim
- School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, 80, Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea
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Kishi S, Giannopoulos AA, Tang A, Kato N, Chatzizisis YS, Dennie C, Horiuchi Y, Tanabe K, Lima JAC, Rybicki FJ, Mitsouras D. Fractional Flow Reserve Estimated at Coronary CT Angiography in Intermediate Lesions: Comparison of Diagnostic Accuracy of Different Methods to Determine Coronary Flow Distribution. Radiology 2018; 287:76-84. [PMID: 29156145 PMCID: PMC5896162 DOI: 10.1148/radiol.2017162620] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Purpose To compare the diagnostic accuracy of different computed tomographic (CT) fractional flow reserve (FFR) algorithms for vessels with intermediate stenosis. Materials and Methods This cross-sectional HIPAA-compliant and human research committee-approved study applied a four-step CT FFR algorithm in 61 patients (mean age, 69 years ± 10; age range, 29-89 years) with a lesion of intermediate-diameter stenosis (25%-69%) at CT angiography who underwent FFR measurement within 90 days. The per-lesion diagnostic performance of CT FFR was tested for three different approaches to estimate blood flow distribution for CT FFR calculation. The first two, the Murray law and the Huo-Kassab rule, used coronary anatomy; the third used contrast material opacification gradients. CT FFR algorithms and CT angiography percentage diameter stenosis (DS) measurements were compared by using the area under the receiver operating characteristic curve (AUC) to detect FFRs of 0.8 or lower. Results Twenty-five lesions (41%) had FFRs of 0.8 or lower. The AUC of CT FFR determination by using contrast material gradients (AUC = 0.953) was significantly higher than that of the Huo-Kassab (AUC = 0.882, P = .043) and Murray law models (AUC = 0.871, P = .033). All three AUCs were higher than that for 50% or greater DS at CT angiography (AUC = 0.596, P < .001). Correlation of CT FFR with FFR was highest for gradients (Spearman ρ = 0.80), followed by the Huo-Kassab rule (ρ = 0.68) and Murray law (ρ = 0.67) models. All CT FFR algorithms had small biases, ranging from -0.015 (Murray) to -0.049 (Huo-Kassab). Limits of agreement were narrowest for gradients (-0.182, 0.147), followed by the Huo-Kassab rule (-0.246, 0.149) and the Murray law (-0.285, 0.256) models. Conclusion Clinicians can perform CT FFR by using a four-step approach on site to accurately detect hemodynamically significant intermediate-stenosis lesions. Estimating blood flow distribution by using coronary contrast opacification variations may improve CT FFR accuracy. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Satoru Kishi
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Andreas A. Giannopoulos
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Anji Tang
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Nahoko Kato
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Yiannis S. Chatzizisis
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Carole Dennie
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Yu Horiuchi
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Kengo Tanabe
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - João A. C. Lima
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Frank J. Rybicki
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
| | - Dimitris Mitsouras
- From the Division of Diabetes, Mitsui Memorial Hospital, Tokyo, Japan
(S.K.); Applied Imaging Science Laboratory, Department of Radiology, Brigham and
Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
(A.A.G., A.T., D.M.); Division of Cardiology, Mitsui Memorial Hospital, Tokyo, Japan
(N.K., Y.H., K.T.); Department of Cardiology, University of Nebraska Medical Center,
Omaha, Neb (Y.S.C.); Department of Radiology, the University of Ottawa Faculty of
Medicine, and the Ottawa Hospital Research Institute, Ottawa, Canada (C.D., F.J.R.,
D.M.); and Department of Cardiovascular Imaging, Johns Hopkins Medicine, Baltimore,
Md (J.A.C.L.)
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