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Chaturvedi P, Kroon W, Zanelli G, Worsley PR. An exploratory study of structural and microvascular changes in the skin following electrical shaving using optical coherence topography. Skin Res Technol 2024; 30:e13830. [PMID: 38951871 PMCID: PMC11217022 DOI: 10.1111/srt.13830] [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: 04/09/2024] [Accepted: 06/11/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND Consumer products such as electrical shavers exert a combination of dynamic loading in the form of pressure and shear on the skin. This mechanical stimulus can lead to discomfort and skin tissue responses characterised as "Skin Sensitivity". To minimise discomfort following shaving, there is a need to establish specific stimulus-response relationships using advanced tools such as optical coherence tomography (OCT). OBJECTIVE To explore the spatial and temporal changes in skin morphology and microvascular function following an electrical shaving stimulus. METHODS Ten healthy male volunteers were recruited. The study included a 60-s electrical shaving stimulus on the forearm, cheek and neck. Skin parameters were recorded at baseline, 20 min post stimulus and 24 h post stimulus. Structural and dynamic skin parameters were estimated using OCT, while transepidermal water loss (TEWL) was recorded to provide reference values for skin barrier function. RESULTS At baseline, six of the eight parameters revealed statistically significant differences between the forearm and the facial sites, while only surface roughness (Rq) and reflectivity were statistically different (p < 0.05) between the cheek and neck. At 20 min post shaving, there was a significant increase in the TEWL values accompanied by increased blood perfusion, with varying magnitude of change dependent on the anatomical site. Recovery characteristics were observed 24 h post stimulus with most parameters returning to basal values, highlighting the transient influence of the stimulus. CONCLUSIONS OCT parameters revealed spatial and temporal differences in the skin tissue response to electrical shaving. This approach could inform shaver design and prevent skin sensitivity.
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Affiliation(s)
- Pakhi Chaturvedi
- Skin Sensing Research GroupSchool of Health Sciences, University of SouthamptonSouthamptonUK
- Philips Consumer Lifestyle B.V.DrachtenThe Netherlands
| | - Wilco Kroon
- Philips Consumer Lifestyle B.V.DrachtenThe Netherlands
| | | | - Peter R. Worsley
- Skin Sensing Research GroupSchool of Health Sciences, University of SouthamptonSouthamptonUK
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2
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Masud AA, Liu J. Ultrasonic surface acoustic wave elastography: A review of basic theories, technical developments, and medical applications. Med Phys 2024; 51:3220-3244. [PMID: 38597908 DOI: 10.1002/mp.17063] [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: 08/23/2023] [Revised: 02/19/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024] Open
Abstract
Physiological and pathological changes in tissues often cause changes in tissue mechanical properties, making tissue elastography an effective modality in medical imaging. Among the existing elastography methods, ultrasound elastography is of great interest due to the inherent advantages of ultrasound imaging technology, such as low cost, portability, safety, and wide availability. However, most current ultrasound elastography methods are based on the bulk shear wave; they can image deep tissues but cannot image superficial tissues. To address this challenge, ultrasonic elastography methods based on surface acoustic waves have been proposed. In this paper, we present a comprehensive review of ultrasound-based surface acoustic wave elastography techniques, including their theoretical foundations, technical implementations, and existing medical applications. The goal is to provide a concise summary of the state-of-the-art of this field, hoping to offer a reliable reference for the further development of these techniques and foster the expansion of their medical applications.
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Affiliation(s)
- Abdullah Al Masud
- Biomedical Acoustics Research Laboratory, Department of Mechanical Engineering, Texas Tech University, Lubbock, Texas, USA
| | - Jingfei Liu
- Biomedical Acoustics Research Laboratory, Department of Mechanical Engineering, Texas Tech University, Lubbock, Texas, USA
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Wang JV, Bajaj S, Himeles JR, Geronemus RG. Clinical and Optical Coherence Tomography Correlation of Vascular Conditions Treated With a Novel, Variable-Sequenced, Long-Pulsed, 532 and 1,064 nm Laser With Cryogen Spray Cooling. Dermatol Surg 2024; 50:277-281. [PMID: 38085090 PMCID: PMC10903995 DOI: 10.1097/dss.0000000000004057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
BACKGROUND Patients frequently seek laser treatment for vascular conditions. More recently, a novel 532 and 1,064 nm laser was developed to offer greater flexibility. OBJECTIVE A prospective clinical trial evaluated the safety and efficacy of a novel, variable-sequenced, long-pulsed, 532 and 1,064 nm laser with cryogen spray cooling (DermaV, Lutronic, South Korea). MATERIALS AND METHODS Subjects with vascular conditions were enrolled for laser treatments. Clinical evaluations and optical coherence tomography (OCT) imaging were performed. RESULTS Thirteen subjects were enrolled. The mean age was 51.3 years, and 92.3% were women. Fitzpatrick skin types I-IV were included. Treatment indications included broken blood vessels, rosacea, port-wine birthmark, and spider angioma. For physician investigator grading, all subjects were graded as improved at both 30-day and 90-day follow-up. Blinded photographic review by 3 independent, blinded physicians had a mean of 89.7% of cases selected correctly with at least 2 of 3 in agreement for 100.0% of cases. Optical coherence tomography imaging showed significant reductions in vessel density ( p = .018) and diameter ( p = .003) of the superficial vascular plexus. No serious adverse events occurred. CONCLUSION A novel, variable-sequenced, long-pulsed, 532 and 1,064 nm laser with cryogen spray cooling can safely and effectively improve vascular conditions and lesions as determined by both clinical and OCT evaluation.
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Affiliation(s)
- Jordan V. Wang
- Laser & Skin Surgery Center of New York, New York, New York
| | - Shirin Bajaj
- Laser & Skin Surgery Center of New York, New York, New York
| | - Jaclyn R. Himeles
- The Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, New York
| | - Roy G. Geronemus
- Laser & Skin Surgery Center of New York, New York, New York
- The Ronald O. Perelman Department of Dermatology, NYU Langone Health, New York, New York
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4
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Lu LY, Chen YT, Chen IL, Shih YC, Liu RTL, Lai YJ, Ng CY. Feasibility of High-Cellular-Resolution Full-Field, Artificial-Intelligence-Assisted, Real-Time Optical Coherence Tomography in the Evaluation of Vitiligo: A Prospective Longitudinal Follow-Up Study. Bioengineering (Basel) 2024; 11:196. [PMID: 38391682 PMCID: PMC10886376 DOI: 10.3390/bioengineering11020196] [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: 12/28/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/24/2024] Open
Abstract
Vitiligo, a psychologically distressing pigmentary disorder characterized by white depigmented patches due to melanocyte loss, necessitates non-invasive tools for early detection and treatment response monitoring. High-cellular-resolution full-field optical coherence tomography (CRFF-OCT) is emerging in pigmentary disorder assessment, but its applicability in vitiligo repigmentation after tissue grafting remains unexplored. To investigate the feasibility of CRFF-OCT for evaluating vitiligo lesions following tissue grafting, our investigation involved ten vitiligo patients who underwent suction blister epidermal grafting and laser ablation at a tertiary center between 2021 and 2022. Over a six-month period, clinical features, dermoscopy, and photography data were recorded. Utilizing CRFF-OCT along with artificial intelligence (AI) applications, repigmentation features were captured and analyzed. The CRFF-OCT analysis revealed a distinct dark band in vitiligo lesion skin, indicating melanin loss. Grafted areas exhibited melanocytes with dendrites around the epidermal-dermal junction and hair follicles. CRFF-OCT demonstrated its efficacy in the early detection of melanocyte recovery and accurate melanin quantification. This study introduces CRFF-OCT as a real-time, non-invasive, and in vivo evaluation tool for assessing vitiligo repigmentation, offering valuable insights into pigmentary disorders and treatment responses.
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Affiliation(s)
- Lai-Ying Lu
- Department of Dermatology, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan 333423, Taiwan
- Department of Dermatology and Aesthetic Medicine Center, Jen-Ai Hospital, Taichung 412224, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333323, Taiwan
| | | | - I-Ling Chen
- Apollo Medical Optics, Ltd., Taipei 114, Taiwan
| | | | - Rosalie Tzu-Li Liu
- Department of Dermatology, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan 333423, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333323, Taiwan
- Vitiligo Clinic and Pigment Research Center, Chang Gung Memorial Hospital, Linkou District, New Taipei 33305, Taiwan
| | - Yi-Jing Lai
- Department of Dermatology, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan 333423, Taiwan
- Vitiligo Clinic and Pigment Research Center, Chang Gung Memorial Hospital, Linkou District, New Taipei 33305, Taiwan
| | - Chau Yee Ng
- Department of Dermatology, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan 333423, Taiwan
- Department of Dermatology and Aesthetic Medicine Center, Jen-Ai Hospital, Taichung 412224, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 333323, Taiwan
- Apollo Medical Optics, Ltd., Taipei 114, Taiwan
- Vitiligo Clinic and Pigment Research Center, Chang Gung Memorial Hospital, Linkou District, New Taipei 33305, Taiwan
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5
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Chen XY, Zhou G, Zhang J. Optical coherence tomography: Promising imaging technique for the diagnosis of oral mucosal diseases. Oral Dis 2024. [PMID: 38191786 DOI: 10.1111/odi.14851] [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: 05/04/2023] [Revised: 11/02/2023] [Accepted: 12/15/2023] [Indexed: 01/10/2024]
Abstract
OBJECTIVE This review aims to summarize the latest application of optical coherence tomography (OCT) in oral mucosal diseases, promoting an accurate and earlier diagnosis of such disorders, which are difficult to be differentiated. SUBJECTIVE AND METHODS References on the application of OCT in oral mucosal diseases were mainly obtained from PubMed, Embase, Web of Science and Scopus databases, using the keywords: "optical coherence tomography and 'oral mucosa/oral cancers/oral potentially malignant diseases/oral lichen planus/oral leukoplakia/oral erythroplakia/discoid lupus erythematosus/oral autoimmune bullous diseases/oral ulcers/erythema multiforme/oral mucositis'". RESULTS It is found that OCT is showing a promising application potential in the early detection, diagnosis, differential diagnosis, monitoring of oral cancer and oral dysplastic lesions, as well as the delineation of tumor margins. OCT is also playing an increasingly important role in the diagnosis of oral potentially malignant disorders, oral mucosal bullous diseases, oral ulcerative diseases, erythema multiforme, and the early detection of oral mucositis. CONCLUSION Optical coherence tomography, as a novel optical technique featured by real-time, noninvasive, dynamic and high-resolution imaging, is of great use to serve as an adjunct tool for the diagnosis, differential diagnosis, monitoring and therapy evaluation of oral mucosal diseases.
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Affiliation(s)
- Xu-Ya Chen
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Gang Zhou
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Oral Medicine, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Jing Zhang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Oral Medicine, School and Hospital of Stomatology, Wuhan University, Wuhan, China
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Fishman M, Matt A, Wang F, Gracheva E, Zhu J, Ouyang X, Komarov A, Wang Y, Liang H, Zhou C. A Drosophila heart optical coherence microscopy dataset for automatic video segmentation. Sci Data 2023; 10:886. [PMID: 38071220 PMCID: PMC10710430 DOI: 10.1038/s41597-023-02802-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
The heart of the fruit fly, Drosophila melanogaster, is a particularly suitable model for cardiac studies. Optical coherence microscopy (OCM) captures in vivo cross-sectional videos of the beating Drosophila heart for cardiac function quantification. To analyze those large-size multi-frame OCM recordings, human labelling has been employed, leading to low efficiency and poor reproducibility. Here, we introduce a robust and accurate automated Drosophila heart segmentation algorithm, called FlyNet 2.0+, which utilizes a long short-term memory (LSTM) convolutional neural network to leverage time series information in the videos, ensuring consistent, high-quality segmentation. We present a dataset of 213 Drosophila heart videos, equivalent to 604,000 cross-sectional images, containing all developmental stages and a wide range of beating patterns, including faster and slower than normal beating, arrhythmic beating, and periods of heart stop to capture these heart dynamics. Each video contains a corresponding ground truth mask. We expect this unique large dataset of the beating Drosophila heart in vivo will enable new deep learning approaches to efficiently characterize heart function to advance cardiac research.
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Affiliation(s)
- Matthew Fishman
- Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, MO, 63130, USA
| | - Abigail Matt
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Fei Wang
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Elena Gracheva
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Jiantao Zhu
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Xiangping Ouyang
- Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, MO, 63130, USA
| | - Andrey Komarov
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Yuxuan Wang
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Hongwu Liang
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA
| | - Chao Zhou
- Washington University in St. Louis, Department of Biomedical Engineering, St. Louis, MO, 63130, USA.
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7
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Wang Q, Gong P, Afsharan H, Joo C, Morellini N, Fear M, Wood F, Ho H, Silva D, Cense B. In vivo burn scar assessment with speckle decorrelation and joint spectral and time domain optical coherence tomography. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:126001. [PMID: 38074217 PMCID: PMC10704265 DOI: 10.1117/1.jbo.28.12.126001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/07/2023] [Accepted: 10/12/2023] [Indexed: 12/18/2023]
Abstract
Significance Post-burn scars and scar contractures present significant challenges in burn injury management, necessitating accurate evaluation of the wound healing process to prevent or minimize complications. Non-invasive and accurate assessment of burn scar vascularity can offer valuable insights for evaluations of wound healing. Optical coherence tomography (OCT) and OCT angiography (OCTA) are promising imaging techniques that may enhance patient-centered care and satisfaction by providing detailed analyses of the healing process. Aim Our study investigates the capabilities of OCT and OCTA for acquiring information on blood vessels in burn scars and evaluates the feasibility of utilizing this information to assess burn scars. Approach Healthy skin and neighboring scar data from nine burn patients were obtained using OCT and processed with speckle decorrelation, Doppler OCT, and an enhanced technique based on joint spectral and time domain OCT. These methods facilitated the assessment of vascular structure and blood flow velocity in both healthy skin and scar tissues. Analyzing these parameters allowed for objective comparisons between normal skin and burn scars. Results Our study found that blood vessel distribution in burn scars significantly differs from that in healthy skin. Burn scars exhibit increased vascularization, featuring less uniformity and lacking the intricate branching network found in healthy tissue. Specifically, the density of the vessels in burn scars is 67% higher than in healthy tissue, while axial flow velocity in burn scar vessels is 25% faster than in healthy tissue. Conclusions Our research demonstrates the feasibility of OCT and OCTA as burn scar assessment tools. By implementing these technologies, we can distinguish between scar and healthy tissue based on its vascular structure, providing evidence of their practicality in evaluating burn scar severity and progression.
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Affiliation(s)
- Qiang Wang
- The University of Western Australia, Optical+Biomedical Engineering Laboratory, Department of Electrical, Electronic and Computer Engineering, Perth, Western Australia, Australia
| | - Peijun Gong
- Harry Perkins Institute of Medical Research, BRITElab, QEII Medical Centre, Nedlands, Western Australia, Australia
- The University of Western Australia, Centre for Medical Research, Perth, Western Australia, Australia
- The University of Western Australia, School of Engineering, Department of Electrical, Electronic & Computer Engineering, Perth, Western Australia, Australia
| | - Hadi Afsharan
- The University of Western Australia, Optical+Biomedical Engineering Laboratory, Department of Electrical, Electronic and Computer Engineering, Perth, Western Australia, Australia
- The University of Western Australia, Centre for Medical Research, Perth, Western Australia, Australia
| | - Chulmin Joo
- Yonsei University, Department of Mechanical Engineering, Seoul, Republic of Korea
| | - Natalie Morellini
- The University of Western Australia, Burn Injury Research Unit, School of Biomedical Sciences, Perth, Western Australia, Australia
- Fiona Stanley Hospital, Fiona Wood Foundation, Murdoch, Western Australia, Australia
| | - Mark Fear
- The University of Western Australia, Burn Injury Research Unit, School of Biomedical Sciences, Perth, Western Australia, Australia
- Fiona Stanley Hospital, Fiona Wood Foundation, Murdoch, Western Australia, Australia
| | - Fiona Wood
- The University of Western Australia, Burn Injury Research Unit, School of Biomedical Sciences, Perth, Western Australia, Australia
- Fiona Stanley Hospital, Fiona Wood Foundation, Murdoch, Western Australia, Australia
- Fiona Stanley Hospital, Burns Service of Western Australia, Western Australia Department of Health, Murdoch, Western Australia, Australia
| | - Hao Ho
- Harry Perkins Institute of Medical Research, BRITElab, QEII Medical Centre, Nedlands, Western Australia, Australia
- The University of Western Australia, Centre for Medical Research, Perth, Western Australia, Australia
- The University of Western Australia, School of Engineering, Department of Electrical, Electronic & Computer Engineering, Perth, Western Australia, Australia
| | - Dilusha Silva
- The University of Western Australia, Department of Electrical, Electronic and Computer Engineering, Microelectronics Research Group, Perth, Western Australia, Australia
| | - Barry Cense
- The University of Western Australia, Optical+Biomedical Engineering Laboratory, Department of Electrical, Electronic and Computer Engineering, Perth, Western Australia, Australia
- Yonsei University, Department of Mechanical Engineering, Seoul, Republic of Korea
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8
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M B Zachary C, Grushchak S, Newman J. Skin Anatomy and Analysis. Facial Plast Surg Clin North Am 2023; 31:433-442. [PMID: 37806677 DOI: 10.1016/j.fsc.2023.05.004] [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] [Indexed: 10/10/2023]
Abstract
This article provides a comprehensive review and strong reference for facial and neck anatomy. An anatomic foundation is built for the dermatologic concepts, techniques, procedures, and surgeries detailed in noninvasive skin treatments. Superficial anatomic landmarks have been established that allow for more nuanced navigation and measurement of facial features. Throughout this article, we discuss key anatomic features of the face and neck, compare dermal thickness in various regions and ethnic anatomic differences, review insertion points of retaining ligaments of the superficial musculoaponeurotic system, and detail diagnostic tools including ultrasound and optical coherence tomography analysis of the skin.
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Affiliation(s)
- Cameron M B Zachary
- Department of Dermatology, University of California Irvine, 118 Med Surg 1, Building 810, Irvine, CA 92697, USA
| | - Solomiya Grushchak
- Department of Dermatology, University of California Irvine, 118 Med Surg 1, Building 810, Irvine, CA 92697, USA.
| | - James Newman
- Premier Plastic Surgery, 1795 El Camino Real, Suite 200, Palo Alto, CA 94306, USA
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Ivanova E, Fayzullin A, Minaev N, Dolganova I, Serejnikova N, Gafarova E, Tokarev M, Minaeva E, Aleksandrova P, Reshetov I, Timashev P, Shekhter A. Surface Topography of PLA Implants Defines the Outcome of Foreign Body Reaction: An In Vivo Study. Polymers (Basel) 2023; 15:4119. [PMID: 37896364 PMCID: PMC10610271 DOI: 10.3390/polym15204119] [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: 07/27/2023] [Revised: 09/19/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023] Open
Abstract
The formation of a dense fibrous capsule around the foreign body and its contracture is the most common complication of biomaterial implantation. The aim of our research is to find out how the surface of the implant influences the inflammatory and fibrotic reactions in the surrounding tissues. We made three types of implants with a remote surface topography formed of polylactide granules with different diameters: large (100-200 µm), medium (56-100 µm) and small (1-56 µm). We placed these implants in skin pockets in the ears of six chinchilla rabbits. We explanted the implants on the 7th, 14th, 30th and 60th days and performed optical coherence tomography, and histological, immunohistochemical and morphometric studies. We examined 72 samples and compared the composition of immune cell infiltration, vascularization, the thickness of the peri-implant tissues, the severity of fibrotic processes and α-SMA expression in myofibroblasts. We analyzed the scattering coefficient of tissue layers on OCT scans. We found that implants made from large granules induced a milder inflammatory process and slower formation of a connective tissue capsule around the foreign body. Our results prove the importance of assessing the surface texture in order to avoid the formation of capsular contracture after implantation.
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Affiliation(s)
- Elena Ivanova
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
- B.V. Petrovsky Russian Research Center of Surgery, 2 Abrikosovskiy Lane, Moscow 119991, Russia
| | - Alexey Fayzullin
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
| | - Nikita Minaev
- Institute of Photon Technologies of FSRC “Crystallography and Photonics” RAS, Troitsk, Moscow 108840, Russia; (N.M.); (E.M.)
| | - Irina Dolganova
- Osipyan Institute of Solid State Physics of the Russian Academy of Sciences, 2 Osipyan St., Chernogolovka 142432, Russia;
| | - Natalia Serejnikova
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
| | - Elvira Gafarova
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
| | - Mark Tokarev
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
| | - Ekaterina Minaeva
- Institute of Photon Technologies of FSRC “Crystallography and Photonics” RAS, Troitsk, Moscow 108840, Russia; (N.M.); (E.M.)
| | - Polina Aleksandrova
- Prokhorov General Physics Institute of the Russian Academy of Sciences, 38 Vavilova St., Moscow 119991, Russia;
| | - Igor Reshetov
- L.L. Levshin Institute of Cluster Oncology, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia;
| | - Peter Timashev
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia
| | - Anatoly Shekhter
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), 8-2 Trubetskaya St., Moscow 119991, Russia; (E.I.); (A.F.); (N.S.); (E.G.); (M.T.); (P.T.)
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10
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Zhu L, Makita S, Tamaoki J, Lichtenegger A, Lim Y, Zhu Y, Kobayashi M, Yasuno Y. Multi-focus averaging for multiple scattering suppression in optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2023; 14:4828-4844. [PMID: 37791259 PMCID: PMC10545188 DOI: 10.1364/boe.493706] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/01/2023] [Accepted: 08/04/2023] [Indexed: 10/05/2023]
Abstract
Multiple scattering is one of the main factors that limits the penetration depth of optical coherence tomography (OCT) in scattering samples. We propose a method termed multi-focus averaging (MFA) to suppress the multiple-scattering signals and improve the image contrast of OCT in deep regions. The MFA method captures multiple OCT volumes with various focal positions and averages them in complex form after correcting the varying defocus through computational refocusing. Because the multiple-scattering takes different trajectories among the different focal position configurations, this averaging suppresses the multiple-scattering signal. Meanwhile, the single-scattering takes a consistent trajectory regardless of the focal position configuration and is not suppressed. Hence, the MFA method improves the ratio between the single-scattering signal and multiple-scattering signal, resulting in an enhancement in the image contrast. A scattering phantom and a postmortem zebrafish were measured to validate the proposed method. The results showed that the contrast of intensity images of both the phantom and zebrafish were improved using the MFA method, such that they were better than the contrast provided by the standard single focus averaging method. The MFA method provides a cost-effective solution for contrast enhancement through multiple-scattering reduction in tissue imaging using OCT systems.
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Affiliation(s)
- Lida Zhu
- Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Shuichi Makita
- Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Junya Tamaoki
- Department of Molecular and Developmental Biology, Institute of Medicine, University of Tsukuba, Japan
| | - Antonia Lichtenegger
- Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Yiheng Lim
- Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Yiqiang Zhu
- Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Makoto Kobayashi
- Department of Molecular and Developmental Biology, Institute of Medicine, University of Tsukuba, Japan
| | - Yoshiaki Yasuno
- Computational Optics Group, University of Tsukuba, Tsukuba, Ibaraki, Japan
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11
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Nakayama LF, Zago Ribeiro L, de Oliveira JAE, de Matos JCRG, Mitchell WG, Malerbi FK, Celi LA, Regatieri CVS. Fairness and generalizability of OCT normative databases: a comparative analysis. Int J Retina Vitreous 2023; 9:48. [PMID: 37605208 PMCID: PMC10440930 DOI: 10.1186/s40942-023-00459-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 03/26/2023] [Indexed: 08/23/2023] Open
Abstract
PURPOSE In supervised Machine Learning algorithms, labels and reports are important in model development. To provide a normality assessment, the OCT has an in-built normative database that provides a color base scale from the measurement database comparison. This article aims to evaluate and compare normative databases of different OCT machines, analyzing patient demographic, contrast inclusion and exclusion criteria, diversity index, and statistical approach to assess their fairness and generalizability. METHODS Data were retrieved from Cirrus, Avanti, Spectralis, and Triton's FDA-approval and equipment manual. The following variables were compared: number of eyes and patients, inclusion and exclusion criteria, statistical approach, sex, race and ethnicity, age, participant country, and diversity index. RESULTS Avanti OCT has the largest normative database (640 eyes). In every database, the inclusion and exclusion criteria were similar, including adult patients and excluding pathological eyes. Spectralis has the largest White (79.7%) proportionately representation, Cirrus has the largest Asian (24%), and Triton has the largest Black (22%) patient representation. In all databases, the statistical analysis applied was Regression models. The sex diversity index is similar in all datasets, and comparable to the ten most populous contries. Avanti dataset has the highest diversity index in terms of race, followed by Cirrus, Triton, and Spectralis. CONCLUSION In all analyzed databases, the data framework is static, with limited upgrade options and lacking normative databases for new modules. As a result, caution in OCT normality interpretation is warranted. To address these limitations, there is a need for more diverse, representative, and open-access datasets that take into account patient demographics, especially considering the development of supervised Machine Learning algorithms in healthcare.
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Affiliation(s)
- Luis Filipe Nakayama
- Laboratory of Computational Physiology, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, United States of America.
- Department of Ophthalmology, São Paulo Federal University, Sao Paulo, SP, Brazil.
| | - Lucas Zago Ribeiro
- Department of Ophthalmology, São Paulo Federal University, Sao Paulo, SP, Brazil
| | | | - João Carlos Ramos Gonçalves de Matos
- Laboratory of Computational Physiology, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, United States of America
- University of Porto, Porto, Portugal
| | | | | | - Leo Anthony Celi
- Laboratory of Computational Physiology, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA, 02139, United States of America
- Department of Biostatistics, United States of America, Harvard TH Chan School of Public Health, Boston, MA, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
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12
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Muñoz-Ortiz T, Alayeto I, Lifante J, Ortgies DH, Marin R, Martín Rodríguez E, Iglesias de la Cruz MDC, Lifante-Pedrola G, Rubio-Retama J, Jaque D. 3D Optical Coherence Thermometry Using Polymeric Nanogels. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2301819. [PMID: 37352307 DOI: 10.1002/adma.202301819] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 06/04/2023] [Indexed: 06/25/2023]
Abstract
In nanothermometry, the use of nanoparticles as thermal probes enables remote and minimally invasive sensing. In the biomedical context, nanothermometry has emerged as a powerful tool where traditional approaches, like infrared thermal sensing and contact thermometers, fall short. Despite the strides of this technology in preclinical settings, nanothermometry is not mature enough to be translated to the bedside. This is due to two major hurdles: the inability to perform 3D thermal imaging and the requirement for tools that are readily available in the clinics. This work simultaneously overcomes both limitations by proposing the technology of optical coherence thermometry (OCTh). This is achieved by combining thermoresponsive polymeric nanogels and optical coherence tomography (OCT)-a 3D imaging technology routinely used in clinical practice. The volume phase transition of the thermoresponsive nanogels causes marked changes in their refractive index, making them temperature-sensitive OCT contrast agents. The ability of OCTh to provide 3D thermal images is demonstrated in tissue phantoms subjected to photothermal processes, and its reliability is corroborated by comparing experimental results with numerical simulations. The results included in this work set credible foundations for the implementation of nanothermometry in the form of OCTh in clinical practice.
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Affiliation(s)
- Tamara Muñoz-Ortiz
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- Instituto Nicolás Cabrera, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
| | - Idoia Alayeto
- Departamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Plaza de Ramón y Cajal, s/n, Universidad Complutense de Madrid, Madrid, 28040, Spain
| | - José Lifante
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Fisiología, Facultad de Medicina, Universidad Autónoma de Madrid, Avda. Arzobispo Morcillo 2, Madrid, 28029, Spain
- nanomaterials for BioImaging Group (nanoBIG), Instituto Ramón y Cajal de Investigación Sanitaria, Ctra de Colmenar Viejo Km 9,100, Madrid, 28034, Spain
| | - Dirk H Ortgies
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- Instituto Nicolás Cabrera, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- nanomaterials for BioImaging Group (nanoBIG), Instituto Ramón y Cajal de Investigación Sanitaria, Ctra de Colmenar Viejo Km 9,100, Madrid, 28034, Spain
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física Aplicada, Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, 28049, Spain
| | - Riccardo Marin
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- Instituto Nicolás Cabrera, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física Aplicada, Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, 28049, Spain
| | - Emma Martín Rodríguez
- Instituto Nicolás Cabrera, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- nanomaterials for BioImaging Group (nanoBIG), Instituto Ramón y Cajal de Investigación Sanitaria, Ctra de Colmenar Viejo Km 9,100, Madrid, 28034, Spain
- Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Madrid, 28049, Spain
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física Aplicada, Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, 28049, Spain
| | - María Del Carmen Iglesias de la Cruz
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Fisiología, Facultad de Medicina, Universidad Autónoma de Madrid, Avda. Arzobispo Morcillo 2, Madrid, 28029, Spain
| | - Ginés Lifante-Pedrola
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
| | - Jorge Rubio-Retama
- Departamento de Química en Ciencias Farmacéuticas, Facultad de Farmacia, Plaza de Ramón y Cajal, s/n, Universidad Complutense de Madrid, Madrid, 28040, Spain
- nanomaterials for BioImaging Group (nanoBIG), Instituto Ramón y Cajal de Investigación Sanitaria, Ctra de Colmenar Viejo Km 9,100, Madrid, 28034, Spain
| | - Daniel Jaque
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- Instituto Nicolás Cabrera, Facultad de Ciencias, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid, 28049, Spain
- nanomaterials for BioImaging Group (nanoBIG), Instituto Ramón y Cajal de Investigación Sanitaria, Ctra de Colmenar Viejo Km 9,100, Madrid, 28034, Spain
- nanomaterials for BioImaging Group (nanoBIG), Departamento de Física Aplicada, Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, 28049, Spain
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13
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Li X, Huang Y, Hao Q. Automated robot-assisted wide-field optical coherence tomography using structured light camera. BIOMEDICAL OPTICS EXPRESS 2023; 14:4310-4325. [PMID: 37799682 PMCID: PMC10549741 DOI: 10.1364/boe.496710] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 10/07/2023]
Abstract
Optical coherence tomography (OCT) is a promising real-time and non-invasive imaging technology widely utilized in biomedical and material inspection domains. However, limited field of view (FOV) in conventional OCT systems hampers their broader applicability. Here, we propose an automated system integrating a structured light camera and robotic arm for large-area OCT scanning. The system precisely detects tissue contours, automates scan path generation, and enables accurate scanning of expansive sample areas. The proposed system consists of a robotic arm, a three-dimensional (3D) structured light camera, and a customized portable OCT probe. The 3D structured light camera is employed to generate a precise 3D point cloud of the sample surface, enabling automatic planning of the scanning path for the robotic arm. Meanwhile, the OCT probe is mounted on the robotic arm, facilitating scanning of the sample along the predetermined path. Continuous OCT B-scans are acquired during the scanning process, facilitating the generation of high-resolution and large-area 3D OCT reconstructions of the sample. We conducted position error tests and presented examples of 3D macroscopic imaging of different samples, such as ex vivo kidney, skin and leaf blade. The robotic arm can accurately reach the planned positions with an average absolute error of approximately 0.16 mm. The findings demonstrate that the proposed system enables the acquisition of 3D OCT images covering an area exceeding 20 cm2, indicating wide-ranging potential for utilization in diverse domains such as biomedical, industrial, and agricultural fields.
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Affiliation(s)
- Xiaochen Li
- School of Optics and Photonics, Beijing Institute of Technology, No.5 South Zhongguancun Street, Haidian, Beijing, 100081, China
| | - Yong Huang
- School of Optics and Photonics, Beijing Institute of Technology, No.5 South Zhongguancun Street, Haidian, Beijing, 100081, China
| | - Qun Hao
- School of Optics and Photonics, Beijing Institute of Technology, No.5 South Zhongguancun Street, Haidian, Beijing, 100081, China
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14
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Revin DG, Byers RA, Duan MQ, Li W, Matcher SJ. Visible-light optical coherence tomography platform for the characterization of the skin barrier. BIOMEDICAL OPTICS EXPRESS 2023; 14:3914-3923. [PMID: 37799680 PMCID: PMC10549730 DOI: 10.1364/boe.494356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/16/2023] [Accepted: 06/27/2023] [Indexed: 10/07/2023]
Abstract
We demonstrate a free-space, trolley-mountable Fourier domain visible-light optical coherence tomography (OCT) system for studying the stratum corneum in non-palmar human skin. An axial resolution of 1 µm in tissue and at least -75 dB sensitivity have been achieved. High-quality B-scans, containing 1600 A-scans, are acquired at a rate of 39 Hz. Images from the dorsal hand, ventral wrist and ventral forearm areas are obtained, with a clearly resolved stratum corneum layer (typically 5-15 µm thick) presenting as a hypoechogenic dark layer below the bright entrance signal, similar to that found in palmar skin with traditional OCT systems. We find that the appearance of the stratum corneum layer strongly depends on its water content, becoming brighter after occlusive hydration.
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Affiliation(s)
- Dmitry G. Revin
- Department of Electronic and Electrical Engineering,
University of Sheffield, Sir Frederick Mappin Building, Sheffield, S1 3JD, UK
| | - Robert A. Byers
- Dermatology Research, Department of Infection and Immunity and Cardiovascular Disease, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Meng Q. Duan
- Department of Electronic and Electrical Engineering,
University of Sheffield, Sir Frederick Mappin Building, Sheffield, S1 3JD, UK
| | - Wei Li
- Department of Electronic and Electrical Engineering,
University of Sheffield, Sir Frederick Mappin Building, Sheffield, S1 3JD, UK
- Currently with the Department of Radiology, the First Affiliated Hospital, Jinan University, No.613, Huangpu West Road, Tianhe District, Guangzhou, 510627, Guangdong, China
| | - Stephen J. Matcher
- Department of Electronic and Electrical Engineering,
University of Sheffield, Sir Frederick Mappin Building, Sheffield, S1 3JD, UK
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15
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Setchfield K, Gorman A, Simpson AHRW, Somekh MG, Wright AJ. Relevance and utility of the in-vivo and ex-vivo optical properties of the skin reported in the literature: a review [Invited]. BIOMEDICAL OPTICS EXPRESS 2023; 14:3555-3583. [PMID: 37497524 PMCID: PMC10368038 DOI: 10.1364/boe.493588] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 07/28/2023]
Abstract
Imaging non-invasively into the human body is currently limited by cost (MRI and CT scan), image resolution (ultrasound), exposure to ionising radiation (CT scan and X-ray), and the requirement for exogenous contrast agents (CT scan and PET scan). Optical imaging has the potential to overcome all these issues but is currently limited by imaging depth due to the scattering and absorption properties of human tissue. Skin is the first barrier encountered by light when imaging non-invasively, and therefore a clear understanding of the way that light interacts with skin is required for progress on optical medical imaging to be made. Here we present a thorough review of the optical properties of human skin measured in-vivo and compare these to the previously collated ex-vivo measurements. Both in-vivo and ex-vivo published data show high inter- and intra-publication variability making definitive answers regarding optical properties at given wavelengths challenging. Overall, variability is highest for ex-vivo absorption measurements with differences of up to 77-fold compared with 9.6-fold for the in-vivo absorption case. The impact of this variation on optical penetration depth and transport mean free path is presented and potential causes of these inconsistencies are discussed. We propose a set of experimental controls and reporting requirements for future measurements. We conclude that a robust in-vivo dataset, measured across a broad spectrum of wavelengths, is required for the development of future technologies that significantly increase the depth of optical imaging.
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Affiliation(s)
- Kerry Setchfield
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, NG7 2RD, UK
| | | | - A Hamish R W Simpson
- Department of Orthopaedics, Division of Clinical and Surgical Sciences, University of Edinburgh, EH8 9YL, UK
| | - Michael G Somekh
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, NG7 2RD, UK
| | - Amanda J Wright
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, NG7 2RD, UK
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16
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Deep-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images. Biomedicines 2023; 11:biomedicines11030802. [PMID: 36979780 PMCID: PMC10044902 DOI: 10.3390/biomedicines11030802] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/15/2023] [Accepted: 03/04/2023] [Indexed: 03/09/2023] Open
Abstract
Early detection and diagnosis of oral cancer are critical for a better prognosis, but accurate and automatic identification is difficult using the available technologies. Optical coherence tomography (OCT) can be used as diagnostic aid due to the advantages of high resolution and non-invasion. We aim to evaluate deep-learning-based algorithms for OCT images to assist clinicians in oral cancer screening and diagnosis. An OCT data set was first established, including normal mucosa, precancerous lesion, and oral squamous cell carcinoma. Then, three kinds of convolutional neural networks (CNNs) were trained and evaluated by using four metrics (accuracy, precision, sensitivity, and specificity). Moreover, the CNN-based methods were compared against machine learning approaches through the same dataset. The results show the performance of CNNs, with a classification accuracy of up to 96.76%, is better than the machine-learning-based method with an accuracy of 92.52%. Moreover, visualization of lesions in OCT images was performed and the rationality and interpretability of the model for distinguishing different oral tissues were evaluated. It is proved that the automatic identification algorithm of OCT images based on deep learning has the potential to provide decision support for the effective screening and diagnosis of oral cancer.
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17
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Bromberger L, Heise B, Felbermayer K, Leiss-Holzinger E, Ilicic K, Schmid TE, Bergmayr A, Etzelstorfer T, Geinitz H. Radiation-induced alterations in multi-layered, in-vitro skin models detected by optical coherence tomography and histological methods. PLoS One 2023; 18:e0281662. [PMID: 36862637 PMCID: PMC9980765 DOI: 10.1371/journal.pone.0281662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/28/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Inflammatory skin reactions and skin alterations are still a potential side effect in radiation therapy (RT), which also need attention for patients' health care. METHOD In a pre-clinical study we consider alterations in irradiated in-vitro skin models of epidermal and dermal layers. Typical dose regimes in radiation therapy are applied for irradiation. For non-invasive imaging and characterization optical coherence tomography (OCT) is used. Histological staining method is additionally applied for comparison and discussion. RESULTS Structural features, such as keratinization, modifications in epidermal cell layer thickness and disorder in the layering-as indications for reactions to ionizing radiation and aging-could be observed by means of OCT and confirmed by histology. We were able to recognize known RT induced changes such as hyper-keratosis, acantholysis, and epidermal hyperplasia as well as disruption and/or demarcation of the dermo-epidermal junction. CONCLUSION The results may pave the way for OCT to be considered as a possible adjunctive tool to detect and monitor early skin inflammation and side effects of radiotherapy, thus supporting patient healthcare in the future.
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Affiliation(s)
- Luisa Bromberger
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
| | - Bettina Heise
- Institute for Mathematical Methods in Medicine and Data Based Modelling, Johannes Kepler University (JKU), Linz, Austria
- Research Center for Non-Destructive Testing (RECENDT)-GmbH, Linz, Austria
- * E-mail:
| | | | | | - Katarina Ilicic
- Department of Radiation Oncology, Klinikum rechts der Isar (MRI), TUM München, München, Germany
| | - Thomas Ernst Schmid
- Department of Radiation Oncology, Klinikum rechts der Isar (MRI), TUM München, München, Germany
| | - Alexandra Bergmayr
- Department of Pathology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
| | - Tanja Etzelstorfer
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
| | - Hans Geinitz
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
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Chen Z, Cheng Q, Wang L, Mo Y, Li K, Mo J. Optical coherence tomography for in vivo longitudinal monitoring of artificial dermal scaffold. Lasers Surg Med 2023; 55:316-326. [PMID: 36806261 DOI: 10.1002/lsm.23645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 01/26/2023] [Accepted: 01/28/2023] [Indexed: 02/21/2023]
Abstract
OBJECTIVES Artificial dermal scaffold (ADS) has undergone rapid development and been increasingly used for treating skin wound in clinics due to its good biocompatibility, controllable degradation, and low risk of disease infection. To obtain good treatment efficacy, ADS needs to be monitored longitudinally during the treatment process. For example, scaffold-tissue fit, cell in-growth, vascular regeneration, and scaffold degradation are the key properties to be inspected. However, to date, there are no effective, real-time, and noninvasive techniques to meet the requirement of the scaffold monitoring above. MATERIALS AND METHODS In this study, we propose to use optical coherence tomography (OCT) to monitor ADS in vivo through three-dimensional imaging. A swept source OCT system with a handheld probe was developed for in vivo skin imaging. Moreover, a cell in-growth, vascular regeneration, and scaffold degradation rate (IRDR) was defined with the volume reduction rate of the scaffold's collagen sponge layer. To measure the IRDR, a semiautomatic image segmentation algorithm was designed based on U-Net to segment the collagen sponge layer of the scaffold from OCT images. RESULTS The results show that the scaffold-tissue fit can be clearly visualized under OCT imaging. The IRDR can be computed based on the volume of the segmented collagen sponge layer. It is observed that the IRDR appeared to a linear function of the time and in addition, the IRDR varied among different skin parts. CONCLUSION Overall, it can be concluded that OCT has a good potential to monitor ADS in vivo. This can help guide the clinicians to control the treatment with ADS to improve the therapy.
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Affiliation(s)
- Ziye Chen
- Department of Electronic Information, Engineering School of Electronics and Information Engineering, Soochow University, Suzhou, China
| | - Qiong Cheng
- Department of Burn and Plastic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lingyun Wang
- Department of Electronic Information, Engineering School of Electronics and Information Engineering, Soochow University, Suzhou, China
| | - Yunfeng Mo
- Department of Electronic Information, Engineering School of Electronics and Information Engineering, Soochow University, Suzhou, China
| | - Ke Li
- Department of Burn and Plastic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jianhua Mo
- Department of Electronic Information, Engineering School of Electronics and Information Engineering, Soochow University, Suzhou, China
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Marin A, Hren R, Milanič M. Pulsed Photothermal Radiometric Depth Profiling of Bruises by 532 nm and 1064 nm Lasers. SENSORS (BASEL, SWITZERLAND) 2023; 23:2196. [PMID: 36850795 PMCID: PMC9965129 DOI: 10.3390/s23042196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/07/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Optical techniques are often inadequate in estimating bruise age since they are not sensitive to the depth of chromophores at the location of the bruise. To address this shortcoming, we used pulsed photothermal radiometry (PPTR) for depth profiling of bruises with two wavelengths, 532 nm (KTP laser) and 1064 nm (Nd:YAG laser). Six volunteers with eight bruises of exactly known and documented times of injury were enrolled in the study. A homogeneous part of the bruise was irradiated first with a 5 ms pulse at 532 nm and then with a 5 ms pulse at 1064 nm. The resulting transient surface temperature change was collected with a fast IR camera. The initial temperature-depth profiles were reconstructed by solving the ill-posed inverse problem using a custom reconstruction algorithm. The PPTR signals and reconstructed initial temperature profiles showed that the 532 nm wavelength probed the shallow skin layers revealing moderate changes during bruise development, while the 1064 nm wavelength provided additional information for severe bruises, in which swelling was present. Our two-wavelength approach has the potential for an improved estimation of the bruise age, especially if combined with modeling of bruise dynamics.
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Affiliation(s)
- Ana Marin
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Rok Hren
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
- Institute of Mathematics, Physics, and Mechanics, 1000 Ljubljana, Slovenia
| | - Matija Milanič
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
- Jozef Stefan Institute, 1000 Ljubljana, Slovenia
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20
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A generative adversarial network with multi-scale convolution and dilated convolution res-network for OCT retinal image despeckling. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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21
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One-class machine learning classification of skin tissue based on manually scanned optical coherence tomography imaging. Sci Rep 2023; 13:867. [PMID: 36650283 PMCID: PMC9845382 DOI: 10.1038/s41598-023-28155-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
We investigated a method for automatic skin tissue characterization based on optical coherence tomography (OCT) imaging. We developed a manually scanned single fiber OCT instrument to perform in vivo skin imaging and tumor boundary assessment. The goal is to achieve more accurate tissue excision in Mohs micrographic surgery (MMS) and reduce the time required for MMS. The focus of this study was to develop a novel machine learning classification method to automatically identify abnormal skin tissues through one-class classification. We trained a deep convolutional neural network (CNN) with a U-Net architecture for automatic skin segmentation, used the pre-trained U-Net as a feature extractor, and trained one-class support vector machine (SVM) classifiers to detect abnormal tissues. The novelty of this study is the use of a neural network as a feature extractor and the use of a one-class SVM for abnormal tissue detection. Our approach eliminated the need to engineer the features for classification and eliminated the need to train the classifier with data obtained from abnormal tissues. To validate the effectiveness of the one-class classification method, we assessed the performance of our algorithm using computer synthesized data, and experimental data. We also performed a pilot study on a patient with skin cancer.
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22
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Advances in Medical Imaging for Wound Repair and Regenerative Medicine. Regen Med 2023. [DOI: 10.1007/978-981-19-6008-6_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
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23
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Lichtenegger A, Baumann B, Yasuno Y. Optical Coherence Tomography Is a Promising Tool for Zebrafish-Based Research-A Review. Bioengineering (Basel) 2022; 10:5. [PMID: 36671577 PMCID: PMC9854701 DOI: 10.3390/bioengineering10010005] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
The zebrafish is an established vertebrae model in the field of biomedical research. With its small size, rapid maturation time and semi-transparency at early development stages, it has proven to be an important animal model, especially for high-throughput studies. Three-dimensional, high-resolution, non-destructive and label-free imaging techniques are perfectly suited to investigate these animals over various development stages. Optical coherence tomography (OCT) is an interferometric-based optical imaging technique that has revolutionized the diagnostic possibilities in the field of ophthalmology and has proven to be a powerful tool for many microscopic applications. Recently, OCT found its way into state-of-the-art zebrafish-based research. This review article gives an overview and a discussion of the relevant literature and an outlook for this emerging field.
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Affiliation(s)
- Antonia Lichtenegger
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria
- Computational Optics Group, University of Tsukuba, Tsukuba 305-8573, Japan
| | - Bernhard Baumann
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria
| | - Yoshiaki Yasuno
- Computational Optics Group, University of Tsukuba, Tsukuba 305-8573, Japan
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Dynamic Optical Coherence Tomography: A Non-Invasive Imaging Tool for the Distinction of Nevi and Melanomas. Cancers (Basel) 2022; 15:cancers15010020. [PMID: 36612016 PMCID: PMC9817967 DOI: 10.3390/cancers15010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/08/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022] Open
Abstract
Along with the rising melanoma incidence in recent decades and bad prognoses resulting from late diagnoses, distinguishing between benign and malignant melanocytic lesions has become essential. Unclear cases may require the aid of non-invasive imaging to reduce unnecessary biopsies. This multicentric, case-control study evaluated the potential of dynamic optical coherence tomography (D-OCT) to identify distinguishing microvascular features in nevi. A total of 167 nevi, including dysplastic ones, on 130 participants of all ages and sexes were examined by D-OCT and dermoscopy with a histological reference. Three blinded analyzers evaluated the lesions. Then, we compared the features to those in 159 melanomas of a prior D-OCT study and determined if a differential diagnosis was possible. We identified specific microvascular features in nevi and a differential diagnosis of melanomas and nevi was achieved with excellent predictive values. We conclude that D-OCT overcomes OCT´s inability to distinguish melanocytic lesions based on its focus on microvascularization. To determine if an addition to the gold standard of a clinical-dermoscopic examination improves the diagnosis of unclear lesions, further studies, including a larger sample of dysplastic nevi and artificial intelligence, should be conducted.
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Soglia S, Pérez-Anker J, Lobos Guede N, Giavedoni P, Puig S, Malvehy J. Diagnostics Using Non-Invasive Technologies in Dermatological Oncology. Cancers (Basel) 2022; 14:cancers14235886. [PMID: 36497368 PMCID: PMC9738560 DOI: 10.3390/cancers14235886] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 12/02/2022] Open
Abstract
The growing incidence of skin cancer, with its associated mortality and morbidity, has in recent years led to the developing of new non-invasive technologies, which allow an earlier and more accurate diagnosis. Some of these, such as digital photography, 2D and 3D total-body photography and dermoscopy are now widely used and others, such as reflectance confocal microscopy and optical coherence tomography, are limited to a few academic and referral skin cancer centers because of their cost or the long training period required. Health care professionals involved in the treatment of patients with skin cancer need to know the implications and benefits of new non-invasive technologies for dermatological oncology. In this article we review the characteristics and usability of the main diagnostic imaging methods available today.
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Affiliation(s)
- Simone Soglia
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
- Department of Dermatology, University of Brescia, 25121 Brescia, Italy
| | - Javiera Pérez-Anker
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
- Correspondence: ; Tel.: +34-932-275-400
| | - Nelson Lobos Guede
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
| | - Priscila Giavedoni
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
| | - Susana Puig
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
| | - Josep Malvehy
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
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Dey R, Alexandrov S, Owens P, Kelly J, Phelan S, Leahy M. Skin cancer margin detection using nanosensitive optical coherence tomography and a comparative study with confocal microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:5654-5666. [PMID: 36733740 PMCID: PMC9872867 DOI: 10.1364/boe.474334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/23/2022] [Accepted: 09/26/2022] [Indexed: 05/08/2023]
Abstract
Excision biopsy and histology represent the gold standard for morphological investigation of the skin, in particular for cancer diagnostics. Nevertheless, a biopsy may alter the original morphology, usually requires several weeks for results, is non-repeatable on the same site and always requires an iatrogenic trauma. Hence, diagnosis and clinical management of diseases may be substantially improved by new non-invasive imaging techniques. Optical Coherence Tomography (OCT) is a non-invasive depth-resolved optical imaging modality based on low coherence interferometry that enables high-resolution, cross-sectional imaging in biological tissues and it can be used to obtain both structural and functional information. Beyond the resolution limit, it is not possible to detect structural and functional information using conventional OCT. In this paper, we present a recently developed technique, nanosensitive OCT (nsOCT), improved using broadband supercontinuum laser, and demonstrate nanoscale sensitivity to structural changes within ex vivo human skin tissue. The extended spectral bandwidth permitted access to a wider distribution of spatial frequencies and improved the dynamic range of the nsOCT. Firstly, we demonstrate numerical and experimental detection of a few nanometers structural difference using the nsOCT method from single B-scan images of phantoms with sub-micron periodic structures, acting like Bragg gratings, along the depth. Secondly, our study shows that nsOCT can distinguish nanoscale structural changes at the skin cancer margin from the healthy region in en face images at clinically relevant depths. Finally, we compare the nsOCT en face image with a high-resolution confocal microscopy image to confirm the structural differences between the healthy and lesional/cancerous regions, allowing the detection of the skin cancer margin.
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Affiliation(s)
- Rajib Dey
- Tissue Optics and Microcirculation Imaging (TOMI) Facility, National Biophotonics and Imaging Platform School of Physics, National University of Ireland, Galway, Galway, Ireland
| | - Sergey Alexandrov
- Tissue Optics and Microcirculation Imaging (TOMI) Facility, National Biophotonics and Imaging Platform School of Physics, National University of Ireland, Galway, Galway, Ireland
| | - Peter Owens
- Center for Microscopy and Imaging, National University of Ireland, Galway, Galway, Ireland
| | - Jack Kelly
- Plastic and Reconstructive Surgery, Galway University Hospital, Galway, Ireland
| | - Sine Phelan
- Department of Anatomic Pathology, Galway University Hospital and Department of Pathology, National University of Ireland, Galway, Galway, Ireland
| | - Martin Leahy
- Tissue Optics and Microcirculation Imaging (TOMI) Facility, National Biophotonics and Imaging Platform School of Physics, National University of Ireland, Galway, Galway, Ireland
- Institute of Photonic Sciences (ICFO), Barcelona, Spain
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27
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Ha-Wissel L, Yasak H, Huber R, Zillikens D, Ludwig RJ, Thaçi D, Hundt JE. Case report: Optical coherence tomography for monitoring biologic therapy in psoriasis and atopic dermatitis. Front Med (Lausanne) 2022; 9:995883. [PMID: 36237538 PMCID: PMC9551172 DOI: 10.3389/fmed.2022.995883] [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: 07/16/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
Biologic therapies are increasingly used to treat chronic inflammatory skin diseases such as psoriasis and atopic dermatitis. In clinical practice, scores based on evaluation of objective and subjective symptoms are used to assess disease severity, leading to evaluation of treatment goals with clinical decisions on treatment initiation, switch to another treatment modality or to discontinue current treatment. However, this visual-based scoring is relatively subjective and inaccurate due to inter- and intraobserver reliability. Optical coherence tomography (OCT) is a fast, high-resolution, in vivo imaging modality that enables the visualization of skin structure and vasculature. We evaluated the use of OCT for quantification and monitoring of skin inflammation to improve objective assessment of disease activity in patients with psoriasis and atopic dermatitis. We assessed the following imaging parameters including epidermal thickness, vascular density, plexus depth, vessel diameter, and vessel count. A total of four patients with psoriasis or atopic dermatitis were treated with biologic agents according to current treatment guidelines. OCT was used to monitor their individual treatment response in a target lesion representing disease activity for 52 weeks. Psoriatic and eczema lesions exhibited higher epidermal thickness, increased vascular density, and higher vessel count compared to uninvolved skin. An upward shift of the superficial vascular plexus accompanied by smaller vessel diameters was seen in psoriasis in contrast to atopic dermatitis, where larger vessels were observed. A response to biologic therapy was characterized by normalization of the imaging parameters in the target lesions in comparison to uninvolved skin during the observation period of 52 weeks. Optical coherence tomography potentially serves as an instrument to monitor biologic therapy in inflammatory skin diseases. Imaging parameters may enable objective quantification of inflammation in psoriasis or atopic dermatitis in selected representative skin areas. OCT may reveal persistent subclinical inflammation in atopic dermatitis beyond clinical remission.
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Affiliation(s)
- Linh Ha-Wissel
- Department of Dermatology, Allergology and Venereology, University Hospital Schleswig-Holstein Lübeck (UKSH), Lübeck, Germany
- Institute for Inflammatory Medicine, University of Lübeck, Lübeck, Germany
- *Correspondence: Linh Ha-Wissel,
| | - Handan Yasak
- Institute for Inflammatory Medicine, University of Lübeck, Lübeck, Germany
| | - Robert Huber
- Institute of Biomedical Optics, University of Lübeck, Lübeck, Germany
| | - Detlef Zillikens
- Department of Dermatology, Allergology and Venereology, University Hospital Schleswig-Holstein Lübeck (UKSH), Lübeck, Germany
| | - Ralf J. Ludwig
- Department of Dermatology, Allergology and Venereology, University Hospital Schleswig-Holstein Lübeck (UKSH), Lübeck, Germany
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Diamant Thaçi
- Institute for Inflammatory Medicine, University of Lübeck, Lübeck, Germany
| | - Jennifer E. Hundt
- Lübeck Institute of Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
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28
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Venturi F, Pellacani G, Farnetani F, Maibach H, Tassone D, Dika E. Non – Invasive diagnostic techniques in the preoperative setting of Mohs micrographic surgery: a review of the literature. Dermatol Ther 2022; 35:e15832. [DOI: 10.1111/dth.15832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 04/28/2022] [Accepted: 09/13/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Federico Venturi
- Section of Dermatology, Department of Health Sciences University of Florence Florence Italy
| | - Giovanni Pellacani
- Department of Dermatology, Policlinico Umberto I Sapienza University of Rome Rome Italy
| | | | - Howard Maibach
- Dermatology University of California San Francisco, San Francisco California
| | - Daniela Tassone
- IRCCS di Policlinico Sant'Orsola, via Massarenti 9 Bologna Italia
| | - Emi Dika
- IRCCS di Policlinico Sant'Orsola, via Massarenti 9 Bologna Italia
- Dermatology, Department of Experimental, Diagnostic and Specialty Medicine (DIMES) University of Bologna Bologna Italy
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29
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ZHAO JINGJING, WINETRAUB YONATAN, DU LIN, VAN VLECK AIDAN, ICHIMURA KENZO, HUANG CHENG, AAsI SUMAIRAZ, SARIN KAVITAY, DE LA ZERDA ADAM. Flexible method for generating needle-shaped beams and its application in optical coherence tomography. OPTICA 2022; 9:859-867. [PMID: 37283722 PMCID: PMC10243785 DOI: 10.1364/optica.456894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/24/2022] [Indexed: 06/08/2023]
Abstract
Needle-shaped beams (NBs) featuring a long depth-of-focus (DOF) can drastically improve the resolution of microscopy systems. However, thus far, the implementation of a specific NB has been onerous due to the lack of a common, flexible generation method. Here we develop a spatially multiplexed phase pattern that creates many axially closely spaced foci as a universal platform for customizing various NBs, allowing flexible manipulations of beam length and diameter, uniform axial intensity, and sub-diffraction-limit beams. NBs designed via this method successfully extended the DOF of our optical coherence tomography (OCT) system. It revealed clear individual epidermal cells of the entire human epidermis, fine structures of human dermal-epidermal junction in a large depth range, and a high-resolution dynamic heartbeat of alive Drosophila larvae.
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Affiliation(s)
- JINGJING ZHAO
- Department of Structural Biology, Stanford University School ofMedicine, Stanford, California 94305, USA
| | - YONATAN WINETRAUB
- Department of Structural Biology, Stanford University School ofMedicine, Stanford, California 94305, USA
- Biophysics Program at Stanford, Stanford, California 94305, USA
- Molecular Imaging Program at Stanford, Stanford, California 94305, USA
- The Bio-X Program, Stanford, California 94305, USA
| | - LIN DU
- Department ofElectrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - AIDAN VAN VLECK
- Department of Structural Biology, Stanford University School ofMedicine, Stanford, California 94305, USA
| | - KENZO ICHIMURA
- Division of Pulmonary, Allergy and Critical Care, Stanford University School ofMedicine, Stanford, California 94305, USA
- Vera Moulton Wall Center of Pulmonary Vascular Disease, Stanford University School of Medicine, Stanford, California 94304, USA
- Cardiovascular Institute, Stanford University School of Medicine, Stanford, California 94304, USA
| | - CHENG HUANG
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - SUMAIRA Z. AAsI
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, USA
| | - KAVITA Y. SARIN
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, USA
| | - ADAM DE LA ZERDA
- Department of Structural Biology, Stanford University School ofMedicine, Stanford, California 94305, USA
- Biophysics Program at Stanford, Stanford, California 94305, USA
- Molecular Imaging Program at Stanford, Stanford, California 94305, USA
- The Bio-X Program, Stanford, California 94305, USA
- The Chan Zuckerberg Biohub, San Francisco, California 94158, USA
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30
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Ji Y, Yang S, Zhou K, Lu J, Wang R, Rocliffe HR, Pellicoro A, Cash JL, Li C, Huang Z. Semisupervised representative learning for measuring epidermal thickness in human subjects in optical coherence tomography by leveraging datasets from rodent models. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:085002. [PMID: 35982528 PMCID: PMC9388694 DOI: 10.1117/1.jbo.27.8.085002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
SIGNIFICANCE Morphological changes in the epidermis layer are critical for the diagnosis and assessment of various skin diseases. Due to its noninvasiveness, optical coherence tomography (OCT) is a good candidate for observing microstructural changes in skin. Convolutional neural network (CNN) has been successfully used for automated segmentation of the skin layers of OCT images to provide an objective evaluation of skin disorders. Such method is reliable, provided that a large amount of labeled data is available, which is very time-consuming and tedious. The scarcity of patient data also puts another layer of difficulty to make the model more generalizable. AIM We developed a semisupervised representation learning method to provide data augmentations. APPROACH We used rodent models to train neural networks for accurate segmentation of clinical data. RESULT The learning quality is maintained with only one OCT labeled image per volume that is acquired from patients. Data augmentation introduces a semantically meaningful variance, allowing for better generalization. Our experiments demonstrate the proposed method can achieve accurate segmentation and thickness measurement of the epidermis. CONCLUSION This is the first report of semisupervised representative learning applied to OCT images from clinical data by making full use of the data acquired from rodent models. The proposed method promises to aid in the clinical assessment and treatment planning of skin diseases.
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Affiliation(s)
- Yubo Ji
- University of Dundee, School of Science and Engineering, Dundee, United Kingdom
| | - Shufan Yang
- Edinburgh Napier University, School of Computing, Edinburgh, United Kingdom
- University of Glasgow, Center of Medical and Industrial Ultrasonics, Glasgow, United Kingdom
| | - Kanheng Zhou
- University of Dundee, School of Science and Engineering, Dundee, United Kingdom
| | - Jie Lu
- University of Washington, Department of Bioengineering, Seattle, Washington, United States
| | - Ruikang Wang
- University of Washington, Department of Bioengineering, Seattle, Washington, United States
| | - Holly R. Rocliffe
- The University of Edinburgh, The Queen’s Medical Research Institute, MRC Centre for Inflammation Research, Edinburgh, United Kingdom
| | - Antonella Pellicoro
- The University of Edinburgh, The Queen’s Medical Research Institute, MRC Centre for Inflammation Research, Edinburgh, United Kingdom
| | - Jenna L. Cash
- The University of Edinburgh, The Queen’s Medical Research Institute, MRC Centre for Inflammation Research, Edinburgh, United Kingdom
| | - Chunhui Li
- University of Dundee, School of Science and Engineering, Dundee, United Kingdom
| | - Zhihong Huang
- University of Dundee, School of Science and Engineering, Dundee, United Kingdom
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31
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Lautman Z, Winetraub Y, Blacher E, Yu C, Terem I, Chibukhchyan A, Marshel JH, de la Zerda A. Intravital 3D visualization and segmentation of murine neural networks at micron resolution. Sci Rep 2022; 12:13130. [PMID: 35907928 PMCID: PMC9338956 DOI: 10.1038/s41598-022-14450-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 06/06/2022] [Indexed: 12/03/2022] Open
Abstract
Optical coherence tomography (OCT) allows label-free, micron-scale 3D imaging of biological tissues' fine structures with significant depth and large field-of-view. Here we introduce a novel OCT-based neuroimaging setting, accompanied by a feature segmentation algorithm, which enables rapid, accurate, and high-resolution in vivo imaging of 700 μm depth across the mouse cortex. Using a commercial OCT device, we demonstrate 3D reconstruction of microarchitectural elements through a cortical column. Our system is sensitive to structural and cellular changes at micron-scale resolution in vivo, such as those from injury or disease. Therefore, it can serve as a tool to visualize and quantify spatiotemporal brain elasticity patterns. This highly transformative and versatile platform allows accurate investigation of brain cellular architectural changes by quantifying features such as brain cell bodies' density, volume, and average distance to the nearest cell. Hence, it may assist in longitudinal studies of microstructural tissue alteration in aging, injury, or disease in a living rodent brain.
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Affiliation(s)
- Ziv Lautman
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
- Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA
| | - Yonatan Winetraub
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA
- Biophysics Program at Stanford, Stanford, CA, 94305, USA
- The Bio-X Program, Stanford, CA, 94305, USA
| | - Eran Blacher
- Department of Neurology and Neurological Sciences, Stanford School of Medicine, Stanford, CA, 94305, USA
- Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Edmond J. Safra Campus Givat-Ram, 9190401, Jerusalem, Israel
| | - Caroline Yu
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA
| | - Itamar Terem
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA
- Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA
| | | | - James H Marshel
- CNC Department, Stanford University, Stanford, CA, 94305, USA
| | - Adam de la Zerda
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Molecular Imaging Program at Stanford, Stanford, CA, 94305, USA.
- Biophysics Program at Stanford, Stanford, CA, 94305, USA.
- The Bio-X Program, Stanford, CA, 94305, USA.
- Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
- The Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
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32
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Fractal Dimension Analysis of Melanocytic Nevi and Melanomas in Normal and Polarized Light-A Preliminary Report. LIFE (BASEL, SWITZERLAND) 2022; 12:life12071008. [PMID: 35888097 PMCID: PMC9318244 DOI: 10.3390/life12071008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 06/22/2022] [Accepted: 06/30/2022] [Indexed: 11/21/2022]
Abstract
Clinical diagnosis of pigmented lesions can be a challenge in everyday practice. Benign and dysplastic nevi and melanomas may have similar clinical presentations, but completely different prognoses. Fractal dimensions of shape and texture can describe the complexity of the pigmented lesion structure. This study aims to apply fractal dimension analysis to differentiate melanomas, dysplastic nevi, and benign nevi in polarized and non-polarized light. A total of 87 Eighty-four patients with 97 lesions were included in this study. All examined lesions were photographed under polarized and non-polarized light, surgically removed, and examined by a histopathologist to establish the correct diagnosis. The obtained images were then processed and analyzed. Area, perimeter, and fractal dimensions of shape and texture were calculated for all the lesions under polarized and non-polarized light. The fractal dimension of shape in polarized light enables differentiating melanomas, dysplastic nevi, and benign nevi. It also makes it possible to distinguish melanomas from benign and dysplastic nevi under non-polarized light. The fractal dimension of texture allows distinguishing melanomas from benign and dysplastic nevi under polarized light. All examined parameters of shape and texture can be used for developing an automatic computer-aided diagnosis system. Polarized light is superior to non-polarized light for imaging texture details.
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Kohlfaerber T, Pieper M, Münter M, Holzhausen C, Ahrens M, Idel C, Bruchhage KL, Leichtle A, König P, Hüttmann G, Schulz-Hildebrandt H. Dynamic microscopic optical coherence tomography to visualize the morphological and functional micro-anatomy of the airways. BIOMEDICAL OPTICS EXPRESS 2022; 13:3211-3223. [PMID: 35781952 PMCID: PMC9208592 DOI: 10.1364/boe.456104] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/03/2022] [Accepted: 04/19/2022] [Indexed: 06/15/2023]
Abstract
In the imaging of airway tissue, optical coherence tomography (OCT) provides cross-sectional images of tissue structures, shows cilia movement and mucus secretion, but does not provide sufficient contrast to differentiate individual cells. By using fast sequences of microscopic resolution OCT (mOCT) images, OCT can use small signal fluctuations to overcome lack in contrast and speckle noise. In this way, OCT visualizes airway morphology on a cellular level and allows the tracking of the dynamic behavior of immune cells, as well as mucus transport and secretion. Here, we demonstrate that mOCT, by using temporal tissue fluctuation as contrast (dynamic mOCT), provides the possibility to study physiological and pathological tissue processes in vivo.
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Affiliation(s)
- Tabea Kohlfaerber
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Mario Pieper
- University of Lübeck, Institute of Anatomy, Ratzeburger Allee 160, 23562 Lübeck, Germany
- Airway Research Center North Member of the German Center for Lung Research, DZL, 22927 Großhansdorf, Germany
| | - Michael Münter
- University of Lübeck, Institute of Biomedical Optics, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Cornelia Holzhausen
- University of Lübeck, Institute of Anatomy, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Martin Ahrens
- Airway Research Center North Member of the German Center for Lung Research, DZL, 22927 Großhansdorf, Germany
- University of Lübeck, Institute of Biomedical Optics, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Christian Idel
- University Hospital Schleswig-Holstein, ENT Clinics, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Karl-Ludwig Bruchhage
- University Hospital Schleswig-Holstein, ENT Clinics, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Anke Leichtle
- University Hospital Schleswig-Holstein, ENT Clinics, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Peter König
- University of Lübeck, Institute of Anatomy, Ratzeburger Allee 160, 23562 Lübeck, Germany
- Airway Research Center North Member of the German Center for Lung Research, DZL, 22927 Großhansdorf, Germany
| | - Gereon Hüttmann
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- University of Lübeck, Institute of Anatomy, Ratzeburger Allee 160, 23562 Lübeck, Germany
- Airway Research Center North Member of the German Center for Lung Research, DZL, 22927 Großhansdorf, Germany
- Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
| | - Hinnerk Schulz-Hildebrandt
- Medizinisches Laserzentrum Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- University of Lübeck, Institute of Anatomy, Ratzeburger Allee 160, 23562 Lübeck, Germany
- Airway Research Center North Member of the German Center for Lung Research, DZL, 22927 Großhansdorf, Germany
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Hindelang B, Nau T, Englert L, Berezhnoi A, Lauffer F, Darsow U, Biedermann T, Eyerich K, Aguirre J, Ntziachristos V. Enabling precision monitoring of psoriasis treatment by optoacoustic mesoscopy. Sci Transl Med 2022; 14:eabm8059. [PMID: 35544596 DOI: 10.1126/scitranslmed.abm8059] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Psoriasis is a widespread inflammatory skin disease affecting about 2% of the general population. Recently, treatments that specifically target key proinflammatory cytokines driving the disease have been developed to complement conventional therapies with unspecific antiproliferative or anti-inflammatory effects. Efficient monitoring of treatment efficacy in the context of precision medicine and the assessment of new therapeutics require accurate noninvasive readouts of disease progression. However, characterization of psoriasis treatment remains subjective based on visual and palpatory clinical assessment of features observed on the skin surface. We hypothesized that optoacoustic (photoacoustic) mesoscopy could offer label-free assessment of inflammation biomarkers, extracted from three-dimensional (3D) high-resolution images of the human skin, not attainable by other noninvasive methods. We developed a second-generation ultra-broadband optoacoustic mesoscopy system, featuring sub-10-μm resolution and advanced motion correction technology, and performed 80 longitudinal measurements of 20 psoriatic skin plaques in humans under conventional inpatient treatment or receiving biologics with concomitant topical corticosteroid treatment. Optoacoustic image analysis revealed inflammatory and morphological skin features that indicated treatment efficacy with sensitivity, accuracy, and precision that was not possible using clinical metrics. We identify 3D imaging biomarkers that reveal responses to treatment and offer the potential to facilitate disease and treatment characterization. Our findings suggest that optoacoustic mesoscopy may offer a method of choice for yielding both qualitative and quantitative evaluations of skin treatments that are inaccessible by other methods, potentially enabling optimized therapies and precision medicine in dermatology.
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Affiliation(s)
- Benedikt Hindelang
- Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.,Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany
| | - Teresa Nau
- Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.,Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany
| | - Ludwig Englert
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany
| | - Andrei Berezhnoi
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany
| | - Felix Lauffer
- Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany
| | - Ulf Darsow
- Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany
| | - Tilo Biedermann
- Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany
| | - Kilian Eyerich
- Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany
| | - Juan Aguirre
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.,Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 81675 Munich, Germany
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35
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Lentsch G, Baugh EG, Lee B, Aszterbaum M, Zachary CB, Kelly KM, Balu M. Research Techniques Made Simple: Emerging Imaging Technologies for Noninvasive Optical Biopsy of Human Skin. J Invest Dermatol 2022; 142:1243-1252.e1. [PMID: 35461534 PMCID: PMC9802025 DOI: 10.1016/j.jid.2022.01.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 01/07/2022] [Accepted: 01/18/2022] [Indexed: 01/03/2023]
Abstract
Over the past few years, high-resolution optical imaging technologies such as optical coherence tomography (OCT), reflectance confocal microscopy (RCM), and multiphoton microscopy (MPM) have advanced significantly as new methodologies for clinical research and for real-time detection, diagnosis, and therapy monitoring of skin diseases. Implementation of these technologies into clinical research and practice requires clinicians to have an understanding of their capabilities, benefits, and limitations. This concise review provides insights on the application of OCT, RCM, and MPM for clinical skin imaging through images acquired in vivo from the same lesions. The presented data are limited to pigmented lesions and basal cell carcinoma.
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Affiliation(s)
- Griffin Lentsch
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, California, USA
| | - Erica G. Baugh
- Department of Dermatology, University of California, Irvine, California, USA
| | - Bonnie Lee
- Department of Dermatology, University of California, Irvine, California, USA
| | - Michelle Aszterbaum
- Department of Dermatology, University of California, Irvine, California, USA
| | | | - Kristen M. Kelly
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, California, USA,Department of Dermatology, University of California, Irvine, California, USA
| | - Mihaela Balu
- Beckman Laser Institute and Medical Clinic, University of California, Irvine, California, USA
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36
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Study on the application and imaging characteristics of optical coherence tomography in vulva lesions. Sci Rep 2022; 12:3659. [PMID: 35256649 PMCID: PMC8901679 DOI: 10.1038/s41598-022-07634-1] [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: 07/18/2021] [Accepted: 02/17/2022] [Indexed: 11/08/2022] Open
Abstract
AbstractIn this study, a prospective study was conducted by using optical coherence tomography (OCT) in the in vivo detection of vulvar diseases. The clinical efficacy of the OCT we investigated in the detection of vulvar diseases, and the characteristics of the OCT images were defined. Overall, this study recruited 63 patients undergoing the colposcopy for vulvar lesions in three Chinese hospitals from December 20th, 2018 and September 24th, 2019. The colposcopy and the OCT examination were performed successively, and the OCT images were compared with the relevant tissue sections to characterize different lesions. The OCT diagnoses where categorized into 7 types, including normal and inflammatory vulva, condyloma acuminata, papilloma, lichen sclerosus, atrophic sclerosing lichen, fibrous epithelial polyp as well as cysts. The structural characteristics of the vulva tissue can be clearly observed in the OCT image, which are consistent with the characteristics of the tissue section. Compared with the pathological results, the sensitivity, specificity and accuracy of the OCT examination reached 83.82% (95% confidence interval, CI 72.5%–91.3%), 57.89% (95% CI 34.0%–78.9%) and 78.16%, respectively. The OCT is found with the advantages of being noninvasive, real-time and sensitive and with high resolution. It is of high significance to screening vulva diseases, and it is expected as one of the methods to clinically diagnose vulva diseases.
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37
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Marjanovic EJ, Sharma V, Smith L, Pinder C, Moore TL, Manning JB, Dinsdale G, Berks M, Newton VL, Wilkinson S, Dickinson MR, Herrick AL, Watson REB, Murray AK. Polarisation-sensitive optical coherence tomography measurement of retardance in fibrosis, a non-invasive biomarker in patients with systemic sclerosis. Sci Rep 2022; 12:2893. [PMID: 35190594 PMCID: PMC8861061 DOI: 10.1038/s41598-022-06783-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 01/31/2022] [Indexed: 12/23/2022] Open
Abstract
Polarisation-sensitive optical coherence tomography (PS-OCT) offers a novel, non-invasive method of assessing skin fibrosis in the multisystem disease systemic sclerosis (SSc) by measuring collagen retardance. This study aimed to assess retardance as a biomarker in SSc. Thirty-one patients with SSc and 27 healthy controls (HC) underwent PS-OCT imaging. 'Skin score' was assessed by clinical palpation (0-3 scale). A subset of ten patients and ten age/sex-matched HC had a biopsy and longitudinal imaging. Histological assessment included quantification of epidermal thickness, collagen content (to assess fibrosis) and matrix metalloproteinase (MMP) activity (in situ zymography). PS-OCT images were assessed for epidermal thickness (structure) and fibrosis (retardance). Positive correlation was observed between epidermal thickness as measured by histology and structural PS-OCT (r = 0.79; p < 0.001). Retardance was: HC mean 0.21 (SD 0.21) radian/pixel; SSc skin score 0, 0.30 (0.19); skin score 1, 0.11 (0.16); skin score 2, 0.06 (0.12); skin score 3, 0.36 (0.35). Longitudinal retardance decreased at one-week across groups, increasing at one-month for HC/skin score 0-1; HC biopsy site retardance suggests scarring is akin to fibrosis. Relationships identified between retardance with both biopsy and skin score data indicate that retardance warrants further investigation as a suitable biomarker for SSc-related fibrosis.
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Affiliation(s)
- E J Marjanovic
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
| | - V Sharma
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
- Centre for Dermatology Research, University of Manchester, Manchester, M13 9PL, UK
- Michigan State University College of Human Medicine, Lansing, MI, USA
| | - L Smith
- Photon Science Institute, University of Manchester, Manchester, M13 9PL, UK
| | - C Pinder
- School of Physics and Astronomy, University of Manchester, Manchester, M13 9PL, UK
| | - T L Moore
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
| | - J B Manning
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
| | - G Dinsdale
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
| | - M Berks
- Centre for Imaging Sciences, Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, M13 9PL, UK
| | - V L Newton
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
- Centre for Dermatology Research, University of Manchester, Manchester, M13 9PL, UK
| | - S Wilkinson
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
| | - M R Dickinson
- School of Physics and Astronomy, University of Manchester, Manchester, M13 9PL, UK
- Photon Science Institute, University of Manchester, Manchester, M13 9PL, UK
| | - A L Herrick
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
- NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, M13 9PL, UK
| | - R E B Watson
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK
- Centre for Dermatology Research, University of Manchester, Manchester, M13 9PL, UK
- NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, M13 9PL, UK
| | - A K Murray
- Musculoskeletal Research Group, Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Rm C215, Clinical Sciences Building, Salford, M6 8HD, UK.
- Salford Care Organisation, part of the Northern Care Alliance NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, M6 8HD, UK.
- Photon Science Institute, University of Manchester, Manchester, M13 9PL, UK.
- NIHR Manchester Biomedical Research Centre, University of Manchester, Manchester, M13 9PL, UK.
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38
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Yao J, Muñoz-Ortiz T, Sanz-Rodríguez F, Martín Rodríguez E, Ortgies DH, García Solé J, Jaque D, Marin R. Bismuth Selenide Nanostructured Clusters as Optical Coherence Tomography Contrast Agents: Beyond Gold-Based Particles. ACS PHOTONICS 2022; 9:559-566. [PMID: 35224134 PMCID: PMC8862561 DOI: 10.1021/acsphotonics.1c01504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Indexed: 06/14/2023]
Abstract
Optical coherence tomography (OCT) is an imaging technique currently used in clinical practice to obtain optical biopsies of different biological tissues in a minimally invasive way. Among the contrast agents proposed to increase the efficacy of this imaging method, gold nanoshells (GNSs) are the best performing ones. However, their preparation is generally time-consuming, and they are intrinsically costly to produce. Herein, we propose a more affordable alternative to these contrast agents: Bi2Se3 nanostructured clusters with a desert rose-like morphology prepared via a microwave-assisted method. The structures are prepared in a matter of minutes, feature strong near-infrared extinction properties, and are biocompatible. They also boast a photon-to-heat conversion efficiency of close to 50%, making them good candidates as photothermal therapy agents. In vitro studies evidence the prowess of Bi2Se3 clusters as OCT contrast agents and prove that their performance is comparable to that of GNSs.
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Affiliation(s)
- Jingke Yao
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física de Materiales,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - Tamara Muñoz-Ortiz
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física de Materiales,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - Francisco Sanz-Rodríguez
- Nanomaterials
for Bioimaging Group (nanoBIG), Instituto Ramón y Cajal de
Investigación Sanitaria, Hospital
Ramón y Cajal, Ctra. De Colmenar Viejo, Km. 9,100, Madrid 28034, Spain
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Biología, Facultad
de Biología, Universidad Autónoma
de Madrid, C/ Darwin
2, Madrid 28049, Spain
| | - Emma Martín Rodríguez
- Nanomaterials
for Bioimaging Group (nanoBIG), Instituto Ramón y Cajal de
Investigación Sanitaria, Hospital
Ramón y Cajal, Ctra. De Colmenar Viejo, Km. 9,100, Madrid 28034, Spain
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física Aplicada,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco
Tomás y Valiente 7, Madrid 28049, Spain
| | - Dirk H. Ortgies
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física de Materiales,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
- Nanomaterials
for Bioimaging Group (nanoBIG), Instituto Ramón y Cajal de
Investigación Sanitaria, Hospital
Ramón y Cajal, Ctra. De Colmenar Viejo, Km. 9,100, Madrid 28034, Spain
| | - José García Solé
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física de Materiales,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
- Nanomaterials
for Bioimaging Group (nanoBIG), Instituto Ramón y Cajal de
Investigación Sanitaria, Hospital
Ramón y Cajal, Ctra. De Colmenar Viejo, Km. 9,100, Madrid 28034, Spain
| | - Daniel Jaque
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física de Materiales,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
- Nanomaterials
for Bioimaging Group (nanoBIG), Instituto Ramón y Cajal de
Investigación Sanitaria, Hospital
Ramón y Cajal, Ctra. De Colmenar Viejo, Km. 9,100, Madrid 28034, Spain
| | - Riccardo Marin
- Nanomaterials
for Bioimaging Group (nanoBIG), Departamento de Física de Materiales,
Facultad de Ciencias, Universidad Autónoma
de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain
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Le N, Cheng H, Subhash H, Kilpatrick-Liverman L, Wang RK. Gingivitis resolution followed by optical coherence tomography and fluorescence imaging: A case study. JOURNAL OF BIOPHOTONICS 2021; 14:e202100191. [PMID: 34453488 DOI: 10.1002/jbio.202100191] [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: 06/23/2021] [Revised: 07/27/2021] [Accepted: 08/25/2021] [Indexed: 06/13/2023]
Abstract
Gingivitis is highly prevalent in adults, and if left untreated, can progress to periodontitis. In this article, we present an interesting case study where the resolution of gingivitis was followed over a period of 10 days using optical coherence tomography (OCT) and light-induced autofluorescence (LIAF). We demonstrate that OCT and its functional angiography can distinctively capture the changes during the resolution of gingivitis; while LIAF can detect red-fluorescent signals associated with mature plaque present at the inflamed site. The acute inflammatory region showed evidence of angiogenesis based on the quantification of vessel density and number; while no angiogenesis was detected within the less inflamed region. Gingival thickness showed a reduction of 140 ± 26 μm on average, measured between the peak gingivitis event and the period wherein the inflammation was resolved. Vessels in the angiogenesis site was found to reduce exponentially. The mildly inflamed site showed a decreasing trend in the vessel size, which however was within the error of the measurement.
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Affiliation(s)
- Nhan Le
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Harrison Cheng
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Hrebesh Subhash
- Clinical Method Development-Oral Care, Colgate-Palmolive Company, Piscataway, New Jersey, USA
| | | | - Ruikang K Wang
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
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40
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In vivo optical imaging-guided targeted sampling for precise diagnosis and molecular pathology. Sci Rep 2021; 11:23124. [PMID: 34848749 PMCID: PMC8633337 DOI: 10.1038/s41598-021-01447-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 10/28/2021] [Indexed: 01/14/2023] Open
Abstract
Conventional tissue sampling can lead to misdiagnoses and repeated biopsies. Additionally, tissue processed for histopathology suffers from poor nucleic acid quality and/or quantity for downstream molecular profiling. Targeted micro-sampling of tissue can ensure accurate diagnosis and molecular profiling in the presence of spatial heterogeneity, especially in tumors, and facilitate acquisition of fresh tissue for molecular analysis. In this study, we explored the feasibility of performing 1–2 mm precision biopsies guided by high-resolution reflectance confocal microscopy (RCM) and optical coherence tomography (OCT), and reflective metallic grids for accurate spatial targeting. Accurate sampling was confirmed with either histopathology or molecular profiling through next generation sequencing (NGS) in 9 skin cancers in 7 patients. Imaging-guided 1–2 mm biopsies enabled spatial targeting for in vivo diagnosis, feature correlation and depth assessment, which were confirmed with histopathology. In vivo 1-mm targeted biopsies achieved adequate quantity and high quality of DNA for next-generation sequencing. Subsequent mutational profiling was confirmed on 1 melanoma in situ and 2 invasive melanomas, using a 505-gene mutational panel called Memorial Sloan Kettering-Integrated mutational profiling of actionable cancer targets (MSK-IMPACT). Differential mutational landscapes, in terms of number and types of mutations, were found between invasive and in situ melanomas in a single patient. Our findings demonstrate feasibility of accurate sampling of regions of interest for downstream histopathological diagnoses and molecular pathology in both in vivo and ex vivo settings with broad diagnostic, therapeutic and research potential in cutaneous diseases accessible by RCM-OCT imaging.
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41
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Møller Israelsen N, Mogensen M, Jensen M, Haedersdal M, Bang O. Delineating papillary dermis around basal cell carcinomas by high and ultrahigh resolution optical coherence tomography-A pilot study. JOURNAL OF BIOPHOTONICS 2021; 14:e202100083. [PMID: 34245133 DOI: 10.1002/jbio.202100083] [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: 03/11/2021] [Revised: 06/18/2021] [Accepted: 07/08/2021] [Indexed: 06/13/2023]
Abstract
Bedside diagnosis of skin cancer remains a challenging task. The real-time noninvasive technology of optical coherence tomography (OCT) masters a high diagnostic accuracy in basal cell carcinoma (BCC) but a lower specificity in recognizing imitators and other carcinomas. We investigate the delicate signal of papillary dermis using an in-house developed ultrahigh resolution OCT (UHR-OCT) system with shadow compensation and a commercial multi-focus high resolution OCT (HR-OCT) system for clinical BCC imaging. We find that the HR-OCT system struggled to resolve the dark band signal of papillary dermis where the UHR-OCT located this in all cases and detected changes in signal width. UHR-OCT is able to monitor extension and position of papillary dermis suggesting a novel feature for delineating superficial BCCs in pursuit of a fast accurate diagnosis. Comprehensive studies involving more patients are imperative in order to corroborate results.
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Affiliation(s)
- Niels Møller Israelsen
- DTU Fotonik, Department of Photonics Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Mette Mogensen
- Department of Dermatology, Bisbebjerg Hospital, University Hospitals of Copenhagen, Copenhagen, NV, Denmark
| | - Mikkel Jensen
- DTU Fotonik, Department of Photonics Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Merete Haedersdal
- Department of Dermatology, Bisbebjerg Hospital, University Hospitals of Copenhagen, Copenhagen, NV, Denmark
| | - Ole Bang
- DTU Fotonik, Department of Photonics Engineering, Technical University of Denmark, Kongens Lyngby, Denmark
- NKT Photonics A/S, Birkerød, Denmark
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42
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Fan F, Zhang J, Zhu L, Ma Z, Zhu J. Improving cerebral microvascular image quality of optical coherence tomography angiography with deep learning-based segmentation. JOURNAL OF BIOPHOTONICS 2021; 14:e202100171. [PMID: 34382744 DOI: 10.1002/jbio.202100171] [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: 06/03/2021] [Revised: 08/07/2021] [Accepted: 08/09/2021] [Indexed: 06/13/2023]
Abstract
Optical coherence tomography angiography (OCTA) can map the microvascular networks of the cerebral cortices with micrometer resolution and millimeter penetration. However, the high scattering of the skull and the strong noise in the deep imaging region will distort the vasculature projections and decrease the OCTA image quality. Here, we proposed a deep learning-based segmentation method based on a U-Net convolutional neural network to extract the cortical region from the OCT image. The vascular networks were then visualized by three OCTA algorithms. The image quality of the vasculature projections was assessed by two metrics, including the peak signal-to-noise ratio (PSNR) and the contrast-to-noise ratio (CNR). The results show the accuracy of the cortical segmentation was 96.07%. The PSNR and CNR values increased significantly in the projections of the selected cortical regions. The OCTA incorporating the deep learning-based cortical segmentation can efficiently improve the image quality and enhance the vasculature clarity.
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Affiliation(s)
- Fan Fan
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
- Beijing Laboratory for Biomedical Detection Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Jisheng Zhang
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
- Beijing Laboratory for Biomedical Detection Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Lianqing Zhu
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
- Beijing Laboratory for Biomedical Detection Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Zongqing Ma
- Beijing Laboratory for Biomedical Detection Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
| | - Jiang Zhu
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
- Beijing Laboratory for Biomedical Detection Technology and Instrument, Beijing Information Science and Technology University, Beijing, China
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Liu Y, Chen D, Xu J, Tan Y, Wang Y, Zhao H, Li H, Liu H, Gu Y, Qiu H. Quantitative assessment of vascular features in port wine stains through optical coherence tomography angiography. Photodiagnosis Photodyn Ther 2021; 36:102607. [PMID: 34706276 DOI: 10.1016/j.pdpdt.2021.102607] [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: 02/09/2021] [Revised: 10/16/2021] [Accepted: 10/22/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Vascular lesions such as port wine stains (PWS) lead to facial and psychological problems, which require careful and precise treatments. The key point of treating PWS is to selectively destroy the abnormal blood vessels. Hence, the in vivo monitoring of targeted vessels is crucial. Optical coherence tomography angiography (OCTA), an emerging label-free imaging tool, facilitates the evaluation of skin structure and vasculature at a high resolution. In this study, we utilised OCTA to capture the structural and vascular morphology in patients with PWS. Moreover, we quantitatively characterised the morphological features of different types of PWS. METHODS This observational clinical study was conducted on 3 patients with flat PWS and 3 patients with thickened PWS. The age range was 4-27 years, and all of them had not received any treatment before this study. The OCTA images of the PWS lesions and contralateral skin were compared. Vascular morphology was characterized, and ectatic vessel depth was quantified according to the OCTA images. RESULTS The blood vessels of the PWS lesions tend to had larger diameters and higher densities than those in the contralateral normal skin. The vessel diameters of PWS lesions were 73 ± 14 μm, with high heterogeneity ranging from 10 to >150 μm, however, the vessel diameters of normal skin were 28 ± 2 μm, ranging from 10 μm to 60 μm. In terms of different PWS lesions, the thickened type showed a trend of larger vessel diameter and higher density than those of the purplish red type. The ectatic vessels were located at the depth of 216 ± 13 μm in the PWS skin. CONCLUSIONS OCTA can facilitate the in vivo three-dimensional visualization of structure and vasculature for PWS lesions. Various quantitative analysis parameters, such as vessel diameter, density, and depth, are typically measured using OCTA. This fact demonstrates the superior capability of OCTA for the precise and comprehensive assessment of PWS lesions.
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Affiliation(s)
- Yidi Liu
- Medical School of Chinese PLA, Beijing 100853, China; Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Defu Chen
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing 100081, China
| | - Jingjiang Xu
- School of Physics and Optoelectronic Engineering, Foshan University, Foshan 528000, China
| | - Yizhou Tan
- Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Ying Wang
- Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Hongyou Zhao
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing 100081, China
| | - Hui Li
- Medical School of Chinese PLA, Beijing 100853, China; Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Haolin Liu
- Medical School of Chinese PLA, Beijing 100853, China; Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China
| | - Ying Gu
- Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China; Institute of Engineering Medicine, Beijing Institute of Technology, Beijing 100081, China; Precision laser medical diagnosis and treatment Innovation unit, Chinese Academy of Medical Sciences, Beijing 100000, China.
| | - Haixia Qiu
- Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing 100853, China.
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44
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Chaturvedi P, Worsley PR, Zanelli G, Kroon W, Bader DL. Quantifying skin sensitivity caused by mechanical insults: A review. Skin Res Technol 2021; 28:187-199. [PMID: 34708455 PMCID: PMC9298205 DOI: 10.1111/srt.13104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/21/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Skin sensitivity (SS) is a commonly occurring response to a range of stimuli, including environmental conditions (e.g., sun exposure), chemical irritants (e.g., soaps and cosmetics), and mechanical forces (e.g., while shaving). From both industry and academia, many efforts have been taken to quantify the characteristics of SS in a standardised manner, but the study is hindered by the lack of an objective definition. METHODS A review of the scientific literature regarding different parameters attributed to the loss of skin integrity and linked with exhibition of SS was conducted. Articles included were screened for mechanical stimulation of the skin, with objective quantification of tissue responses using biophysical or imaging techniques. Additionally, studies where cohorts of SS and non-SS individuals were reported have been critiqued. RESULTS The findings identified that the structure and function of the stratum corneum and its effective barrier properties are closely associated with SS. Thus, an array of skin tissue responses has been selected for characterization of SS due to mechanical stimuli, including: transepidermal water loss, hydration, redness, temperature, and sebum index. Additionally, certain imaging tools allow quantification of the superficial skin layers, providing structural characteristics underlying SS. CONCLUSION This review proposes a multimodal approach for identification of SS, providing a means to characterise skin tissue responses objectively. Optical coherence tomography (OCT) has been suggested as a suitable tool for dermatological research with clinical applications. Such an approach would enhance the knowledge underlying the multifactorial nature of SS and aid the development of personalised solutions in medical and consumer devices.
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Affiliation(s)
- Pakhi Chaturvedi
- Philips Consumer Lifestyle B.V., Drachten, The Netherlands.,School of Health Sciences, University of Southampton, Southampton, UK
| | - Peter R Worsley
- School of Health Sciences, University of Southampton, Southampton, UK
| | - Giulia Zanelli
- Philips Consumer Lifestyle B.V., Drachten, The Netherlands
| | - Wilco Kroon
- Philips Consumer Lifestyle B.V., Drachten, The Netherlands
| | - Dan L Bader
- School of Health Sciences, University of Southampton, Southampton, UK
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45
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Ruini C, Daxenberger F, Gust C, Schuh S, French LE, Welzel J, Sattler EC. [Advances in optical coherence tomography]. Hautarzt 2021; 72:1048-1057. [PMID: 34698874 DOI: 10.1007/s00105-021-04905-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 11/29/2022]
Abstract
Optical coherence tomography (OCT) has been able to establish itself in recent years not only in academic-scientific, but also in everyday dermatological practice. Its focus lies on epithelial tumors of the skin, which can be diagnosed intuitively and within a few seconds. Thus, basal cell carcinomas, actinic keratoses, and different stages of field cancerization can be diagnosed and monitored for response to therapy or possible recurrence. This often helps to avoid invasive sample extraction. Recently, the field of OCT and its latest advancement, dynamic OCT (D-OCT), has been expanded to include non-oncologic dermatological diseases. This encompasses inflammatory dermatoses and the analysis of physiological skin parameters such as hydration. Thanks to automated vascular imaging and the measurement of objective parameters such as epidermal thickness, blood flow at depth, optical attenuation coefficient, and skin roughness, more and more characteristics of the skin can be studied in a noninvasive and standardized way. New potential areas of application are eczema, contact allergic dermatitis, psoriasis, rosacea, telangiectasia, acute and chronic wounds, melasma and nevus flammeus but also melanocytic lesions.
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Affiliation(s)
- Cristel Ruini
- Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, LMU München, Frauenlobstr. 9-11, 80337, München, Deutschland. .,Doctorate School (PhD) in Clinical and Experimental Medicine, University of Modena and Reggio Emilia, Modena, Italien.
| | - Fabia Daxenberger
- Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, LMU München, Frauenlobstr. 9-11, 80337, München, Deutschland
| | - Charlotte Gust
- Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, LMU München, Frauenlobstr. 9-11, 80337, München, Deutschland
| | - Sandra Schuh
- Klinik für Dermatologie und Allergologie, Universitätsklinikum Augsburg, Augsburg, Deutschland
| | - Lars E French
- Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, LMU München, Frauenlobstr. 9-11, 80337, München, Deutschland.,Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami, Miller School of Medicine, Miami, USA
| | - Julia Welzel
- Klinik für Dermatologie und Allergologie, Universitätsklinikum Augsburg, Augsburg, Deutschland
| | - Elke C Sattler
- Klinik und Poliklinik für Dermatologie und Allergologie, Klinikum der Universität München, LMU München, Frauenlobstr. 9-11, 80337, München, Deutschland
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46
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Ho CJ, Calderon-Delgado M, Lin MY, Tjiu JW, Huang SL, Chen HH. Classification of squamous cell carcinoma from FF-OCT images: Data selection and progressive model construction. Comput Med Imaging Graph 2021; 93:101992. [PMID: 34626908 DOI: 10.1016/j.compmedimag.2021.101992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/19/2021] [Accepted: 09/06/2021] [Indexed: 10/20/2022]
Abstract
We investigate the speed and performance of squamous cell carcinoma (SCC) classification from full-field optical coherence tomography (FF-OCT) images based on the convolutional neural network (CNN). Due to the unique characteristics of SCC features, the high variety of CNN, and the high volume of our 3D FF-OCT dataset, progressive model construction is a time-consuming process. To address the issue, we develop a training strategy for data selection that makes model training 16 times faster by exploiting the dependency between images and the knowledge of SCC feature distribution. The speedup makes progressive model construction computationally feasible. Our approach further refines the regularization, channel attention, and optimization mechanism of SCC classifier and improves the accuracy of SCC classification to 87.12% at the image level and 90.10% at the tomogram level. The results are obtained by testing the proposed approach on an FF-OCT dataset with over one million mouse skin images.
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Affiliation(s)
- Chi-Jui Ho
- Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan; Graduate Institute of Communication Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Manuel Calderon-Delgado
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei 10617, Taiwan
| | - Ming-Yi Lin
- Department of Dermatology, College of Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan
| | - Jeng-Wei Tjiu
- Department of Dermatology, College of Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan
| | - Sheng-Lung Huang
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei 10617, Taiwan
| | - Homer H Chen
- Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan; Graduate Institute of Communication Engineering, National Taiwan University, Taipei 10617, Taiwan; Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 10617, Taiwan.
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47
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Kiseleva EB, Ryabkov MG, Sizov MA, Bederina EL, Komarova AD, Moiseev AA, Bagryantsev MV, Vorobiev AN, Gladkova ND. Effect of Surgical Technique on the Microstructure and Microcirculation of the Small Intestine Stump during Delayed Anastomosis: Multimodal OCT Data. Sovrem Tekhnologii Med 2021; 13:36-45. [PMID: 34603762 PMCID: PMC8482830 DOI: 10.17691/stm2021.13.4.04] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Indexed: 12/19/2022] Open
Abstract
The aim of the study was to use multimodal optical coherence tomography (MM OCT) to evaluate microstructure and microcirculation in the proximal and distal sections of the intestine relative to the resected area in acute mesenteric ischemia.
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Affiliation(s)
- E B Kiseleva
- Senior Researcher, Scientific Laboratory of Optical Coherence Tomography, Research Institute of Experimental Oncology and Biomedical Technologies; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - M G Ryabkov
- Associate Professor, Leading Researcher, University Clinic; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - M A Sizov
- Surgeon; City Clinical Hospital No.30, 85A Berezovskaya St., Nizhny Novgorod, 603157, Russia
| | - E L Bederina
- Pathologist, Junior Researcher, University Clinic; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - A D Komarova
- Student, Department of Biophysics; National Research Lobachevsky State University of Nizhni Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603950, Russia; Laboratory Assistant, Laboratory of Fluorescent Bioimaging, Research Institute of Experimental Oncology and Biomedical Technologies; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - A A Moiseev
- Senior Researcher, Laboratory of Highly Sensitive Optical Measurements; Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., Nizhny Novgorod, 603950, Russia
| | - M V Bagryantsev
- Surgeon; City Clinical Hospital No.30, 85A Berezovskaya St., Nizhny Novgorod, 603157, Russia
| | - A N Vorobiev
- Surgeon; City Clinical Hospital No.30, 85A Berezovskaya St., Nizhny Novgorod, 603157, Russia
| | - N D Gladkova
- Professor, Head of the Scientific Laboratory of Optical Coherence Tomography, Research Institute of Experimental Oncology and Biomedical Technologies; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
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48
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Münter M, Pieper M, Kohlfaerber T, Bodenstorfer E, Ahrens M, Winter C, Huber R, König P, Hüttmann G, Schulz-Hildebrandt H. Microscopic optical coherence tomography (mOCT) at 600 kHz for 4D volumetric imaging and dynamic contrast. BIOMEDICAL OPTICS EXPRESS 2021; 12:6024-6039. [PMID: 34745719 PMCID: PMC8547980 DOI: 10.1364/boe.425001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/03/2021] [Accepted: 08/06/2021] [Indexed: 05/11/2023]
Abstract
Volumetric imaging of dynamic processes with microscopic resolution holds a huge potential in biomedical research and clinical diagnosis. Using supercontinuum light sources and high numerical aperture (NA) objectives, optical coherence tomography (OCT) achieves microscopic resolution and is well suited for imaging cellular and subcellular structures of biological tissues. Currently, the imaging speed of microscopic OCT (mOCT) is limited by the line-scan rate of the spectrometer camera and ranges from 30 to 250 kHz. This is not fast enough for volumetric imaging of dynamic processes in vivo and limits endoscopic application. Using a novel CMOS camera, we demonstrate fast 3-dimensional OCT imaging with 600,000 A-scans/s at 1.8 µm axial and 1.1 µm lateral resolution. The improved speed is used for imaging of ciliary motion and particle transport in ex vivo mouse trachea. Furthermore, we demonstrate dynamic contrast OCT by evaluating the recorded volumes rather than en face planes or B-scans. High-speed volumetric mOCT will enable the correction of global tissue motion and is a prerequisite for applying dynamic contrast mOCT in vivo. With further increase in imaging speed and integration in flexible endoscopes, volumetric mOCT may be used to complement or partly replace biopsies.
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Affiliation(s)
- Michael Münter
- University of Lübeck,
Institute of Biomedical Optics,
Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Medizinisches Laserzentrum
Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Mario Pieper
- University of
Lübeck, Institute of Anatomy, Ratzeburger Allee 160,
23562 Lübeck, Germany
- Airway Research Center North
Member of the German Center for Lung Research, DZL,
22927 Großhansdorf, Germany
| | - Tabea Kohlfaerber
- Medizinisches Laserzentrum
Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Ernst Bodenstorfer
- Austrian Institute of
Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria
| | - Martin Ahrens
- University of Lübeck,
Institute of Biomedical Optics,
Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Airway Research Center North
Member of the German Center for Lung Research, DZL,
22927 Großhansdorf, Germany
| | | | - Robert Huber
- University of Lübeck,
Institute of Biomedical Optics,
Peter-Monnik-Weg 4, 23562 Lübeck, Germany
| | - Peter König
- University of
Lübeck, Institute of Anatomy, Ratzeburger Allee 160,
23562 Lübeck, Germany
- Airway Research Center North
Member of the German Center for Lung Research, DZL,
22927 Großhansdorf, Germany
| | - Gereon Hüttmann
- University of Lübeck,
Institute of Biomedical Optics,
Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Medizinisches Laserzentrum
Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Airway Research Center North
Member of the German Center for Lung Research, DZL,
22927 Großhansdorf, Germany
| | - Hinnerk Schulz-Hildebrandt
- University of Lübeck,
Institute of Biomedical Optics,
Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Medizinisches Laserzentrum
Lübeck GmbH, Peter-Monnik-Weg 4, 23562 Lübeck, Germany
- Airway Research Center North
Member of the German Center for Lung Research, DZL,
22927 Großhansdorf, Germany
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49
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Abignano G, Green L, Eng S, Emery P, Del Galdo F. Nailfold Microvascular Imaging by Dynamic Optical Coherence Tomography in Systemic Sclerosis: A Case-Controlled Pilot Study. J Invest Dermatol 2021; 142:1050-1057. [PMID: 34571001 DOI: 10.1016/j.jid.2021.08.436] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 06/21/2021] [Accepted: 08/08/2021] [Indexed: 11/29/2022]
Abstract
In systemic sclerosis, outcome measures of skin microvasculopathy are needed for both clinical trials and practice. The aim of this study was to determine whether dynamic-optical coherence tomography (D-OCT) is able to provide information on microvasculopathy compared with the current gold standard, nailfold videocapillaroscopy (NVC), in patients with systemic sclerosis. This case-controlled study included (i) 40 patients with systemic sclerosis, classified by NVC pattern in four age- and sex-matched groups (normal/nonspecific, early, active, late); (ii) a fifth group of 10 age- and sex-matched healthy controls. All participants underwent NVC and D-OCT. D-OCT images were compared with the corresponding NVC images. Reliability was assessed. D-OCT images visualized the corresponding NVC patterns. D-OCT microvascular flow density was different across the five NVC pattern groups (P = 0.0114) with a significant trend test (P = 0.0006). Microvascular flow density correlated with the NVC semiquantitative score (r = -0.7, P < 0.0001), number of abnormal shapes/mm (r = ‒0.3, P = 0.0264), and number of capillaries/mm (r = 0.6, P < 0.0001). Reliability was excellent (intraclass correlation coefficient > 0.9). In conclusion, in patients with systemic sclerosis, D-OCT provided qualitative and quantitative information on nailfold microvasculopathy, showing a correlation between microvascular flow density and NVC scores. The development of D-OCT as a standardized imaging technique could provide a quantitative outcome measure in clinical trials and practice.
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Affiliation(s)
- Giuseppina Abignano
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom; Rheumatology Institute of Lucania (IReL) and Rheumatology Department of Lucania, San Carlo Regional Hospital, Potenza, Italy.
| | - Lorraine Green
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Sookhoe Eng
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Paul Emery
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Francesco Del Galdo
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, School of Medicine, University of Leeds, Leeds, United Kingdom; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
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50
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Tian L, Hunt B, Bell MAL, Yi J, Smith JT, Ochoa M, Intes X, Durr NJ. Deep Learning in Biomedical Optics. Lasers Surg Med 2021; 53:748-775. [PMID: 34015146 PMCID: PMC8273152 DOI: 10.1002/lsm.23414] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/02/2021] [Accepted: 04/15/2021] [Indexed: 01/02/2023]
Abstract
This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo microscopy, widefield endoscopy, optical coherence tomography, photoacoustic imaging, diffuse tomography, and functional optical brain imaging. For each of these domains, we summarize how deep learning has been applied and highlight methods by which deep learning can enable new capabilities for optics in medicine. Challenges and opportunities to improve translation and adoption of deep learning in biomedical optics are also summarized. Lasers Surg. Med. © 2021 Wiley Periodicals LLC.
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Affiliation(s)
- L. Tian
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
| | - B. Hunt
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
| | - M. A. L. Bell
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - J. Yi
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Ophthalmology, Johns Hopkins University, Baltimore, MD, USA
| | - J. T. Smith
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York NY 12180
| | - M. Ochoa
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York NY 12180
| | - X. Intes
- Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, New York NY 12180
| | - N. J. Durr
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
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