1
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Farajollahi A, Baharvand M. Advancements in photoacoustic imaging for cancer diagnosis and treatment. Int J Pharm 2024; 665:124736. [PMID: 39326479 DOI: 10.1016/j.ijpharm.2024.124736] [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: 06/24/2024] [Revised: 09/10/2024] [Accepted: 09/19/2024] [Indexed: 09/28/2024]
Abstract
Photoacoustic imaging provides in vivo morphological and functional information about tumors within surrounding tissue. By integrating ultrasound guidance, this technique enables precise localization and characterization of tumors. Moreover, the introduction of targeted contrast agents has further expanded the capabilities of photoacoustic imaging in the realm of in vivo molecular imaging. These contrast agents facilitate enhanced molecular and cellular characterization of cancer, enabling detailed insights into the disease. This review aims to provide a concise summary of the extensive research conducted in the field of Photoacoustic imaging for cancer management. It encompasses the development of the technology, its applications in clinical settings, and the advancements made in molecular imaging. By consolidating and synthesizing the existing knowledge, this review contributes to a better understanding of the potential of photoacoustic imaging in cancer care. In conclusion, photoacoustic imaging has emerged as a non-ionizing and noninvasive modality with the ability to visualize tissue's optical absorption properties while maintaining ultrasound's spatial resolution. Its integration with targeted contrast agents has enhanced molecular and cellular characterization of cancer. This review serves as a succinct overview of the extensive research conducted in the field, shedding light on the potential of photoacoustic imaging in the management of cancer.
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Affiliation(s)
| | - Mohammad Baharvand
- Department of Mechanical Engineering, Islamic Azad University, Tehran, Iran
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2
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La TA, Ülgen O, Shnaiderman R, Ntziachristos V. Bragg grating etalon-based optical fiber for ultrasound and optoacoustic detection. Nat Commun 2024; 15:7521. [PMID: 39214964 PMCID: PMC11364814 DOI: 10.1038/s41467-024-51497-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
Fiber-based interferometers receive significant interest as they lead to miniaturization of optoacoustic and ultrasound detectors without the quadratic loss of sensitivity common to piezoelectric elements. Nevertheless, in contrast to piezoelectric crystals, current fiber-based ultrasound detectors operate with narrow ultrasound bandwidth which limits the application range and spatial resolution achieved in imaging implementations. We port the concept of silicon waveguide etalon detection to optical fibers using a sub-acoustic reflection terminator to a Bragg grating embedded etalon resonator (EER), uniquely implementing direct and forward-looking access to incoming ultrasound waves. Precise fabrication of the terminator is achieved by continuously recording the EER spectrum during polishing and fitting the spectra to a theoretically calculated spectrum for the selected thickness. Characterization of the EER inventive design reveals a small aperture (10.1 µm) and an ultra-wide bandwidth (160 MHz) that outperforms other fiber resonators and enables an active detection area and overall form factor that is smaller by more than an order of magnitude over designs based on piezoelectric transducers. We discuss how the EER paves the way for the most adept fiber-based miniaturized sound detection today, circumventing the limitations of currently available designs.
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Affiliation(s)
- Tai Anh La
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Okan Ülgen
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Rami Shnaiderman
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany.
- Munich Institute of Biomedical Engineering (MIBE), Technical University of Munich, Garching b. München, Germany.
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3
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Zhong Y, Liu Z, Zhang X, Liang Z, Chen W, Dai C, Qi L. Unsupervised adversarial neural network for enhancing vasculature in photoacoustic tomography images using optical coherence tomography angiography. Comput Med Imaging Graph 2024; 117:102425. [PMID: 39216343 DOI: 10.1016/j.compmedimag.2024.102425] [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: 05/06/2024] [Revised: 08/23/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
Photoacoustic tomography (PAT) is a powerful imaging modality for visualizing tissue physiology and exogenous contrast agents. However, PAT faces challenges in visualizing deep-seated vascular structures due to light scattering, absorption, and reduced signal intensity with depth. Optical coherence tomography angiography (OCTA) offers high-contrast visualization of vasculature networks, yet its imaging depth is limited to a millimeter scale. Herein, we propose OCPA-Net, a novel unsupervised deep learning method that utilizes the rich vascular feature of OCTA to enhance PAT images. Trained on unpaired OCTA and PAT images, OCPA-Net incorporates a vessel-aware attention module to enhance deep-seated vessel details captured from OCTA. It leverages a domain-adversarial loss function to enforce structural consistency and a novel identity invariant loss to mitigate excessive image content generation. We validate the structural fidelity of OCPA-Net on simulation experiments, and then demonstrate its vascular enhancement performance on in vivo imaging experiments of tumor-bearing mice and contrast-enhanced pregnant mice. The results show the promise of our method for comprehensive vessel-related image analysis in preclinical research applications.
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Affiliation(s)
- Yutian Zhong
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China
| | - Zhenyang Liu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China; Department of Radiotherapy, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 210003, China
| | - Xiaoming Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China
| | - Zhaoyong Liang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China
| | - Wufan Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China
| | - Cuixia Dai
- College of Science, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Li Qi
- School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, 510515, China.
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4
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Huang S, He H, Tom RZ, Glasl S, Anzenhofer P, Stiel AC, Hofmann SM, Ntziachristos V. Non-invasive optoacoustic imaging of dermal microcirculatory revascularization in diet-induced obese mice undergoing exercise intervention. PHOTOACOUSTICS 2024; 38:100628. [PMID: 39055739 PMCID: PMC11269314 DOI: 10.1016/j.pacs.2024.100628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/11/2024] [Accepted: 06/21/2024] [Indexed: 07/27/2024]
Abstract
Microcirculatory dysfunction has been observed in the dermal white adipose tissue (dWAT) and subcutaneous white adipose tissue (scWAT) of obese humans and has been proposed as an early prediction marker for cardio-metabolic disease progression. In-vivo visualization and longitudinal monitoring of microvascular remodeling in these tissues remains challenging. We compare the performance of two optoacoustic imaging methods, i.e. multi-spectral optoacoustic tomography (MSOT) and raster-scanning optoacoustic mesoscopy (RSOM) in visualizing lipid and hemoglobin contrast in scWAT and dWAT in a mouse model of diet-induced obesity (DIO) undergoing voluntary wheel running intervention for 32 weeks. MSOT visualized lipid and hemoglobin contrast in murine fat depots in a quantitative manner even at early stages of DIO. We show for the first time to our knowledge that RSOM allows precise visualization of the dWAT microvasculature and provides quantitative readouts of skin layer thickness and vascular density in dWAT and dermis. Combination of MSOT and RSOM resolved exercise-induced morphological changes in microvasculature density, tissue oxygen saturation, lipid and blood volume content in dWAT and scWAT. The combination of MSOT and RSOM may allow precise monitoring of microcirculatory dysfunction and intervention response in dWAT and scWAT in a mouse model for DIO. Our findings have laid out the foundation for future clinical studies using optoacoustic-derived vascular readouts from adipose tissues as a biomarker for monitoring microcirculatory function in metabolic disease.
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Affiliation(s)
- Shan Huang
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Robby Zachariah Tom
- Institute of Diabetes and Regeneration Research, Helmholtz Zentrum München (GmbH), Neuherberg, Germany
- Department of Medicine IV, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sarah Glasl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Pia Anzenhofer
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Andre C. Stiel
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- University of Regensburg, Faculty for Biology, Regensburg, Germany
| | - Susanna M. Hofmann
- Institute of Diabetes and Regeneration Research, Helmholtz Zentrum München (GmbH), Neuherberg, Germany
- Department of Medicine IV, LMU University Hospital, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD), Neuherberg 85764, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
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5
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Li X, Yew YW, Vinod Ram K, Oon HH, Thng STG, Dinish U, Olivo M. Structural and functional imaging of psoriasis for severity assessment and quantitative monitoring of treatment response using high-resolution optoacoustic imaging. PHOTOACOUSTICS 2024; 38:100611. [PMID: 38764522 PMCID: PMC11101711 DOI: 10.1016/j.pacs.2024.100611] [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: 01/26/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/21/2024]
Abstract
Psoriasis is a chronic inflammatory skin disease, characterized by thick scaly plaques. It imposes a notable disease burden with varying levels of severity affecting the quality of life significantly. Current disease severity assessment relies on semi-objective visual inspection based on the Psoriasis Area and Severity index (PASI) score that might not be sensitive to sub-clinical changes. Histology of psoriasis skin lesions necessitate invasive skin biopsies. This indicates an unmet need for a non-invasive, objective and quantitative approach to assess disease severity serially. Herein, we employ multispectral Raster-Scanning Optoacoustic Mesoscopy (ms-RSOM) derived structural and microvascular functional imaging metrics to examine the lesional and non-lesional skin in psoriasis subjects across different severities and also evaluate the treatment outcome in a subject with topical steroids and biologics, such as adalimumab. ms-RSOM derived structural metrics like epidermal thickness and total blood volume (TBV) and microvascular functional information such as oxygen saturation (sO2) are evaluated by spectrally resolving the endogenous chromophores like melanin, oxy-, and deoxy-hemoglobin. Initial findings reveal an elevated sO2 and TBV with severity in lesional and non-lesional psoriasis skin, thus representing increasing inflammation. An increase in epidermal thickness is also noted with the degree of severity, corresponding to the inflammation and increased abnormal cell growth. As a marker to evaluate the treatment response, we observed a decrease in epidermal thickness, sO2, and TBV in a psoriasis patient post-treatment, which is consistent with the decrease in the PASI score from 4.1 to 1.9. We envision that ms-RSOM has a huge potential to be translated into routine clinical setting for the diagnosis of severity and assessment of treatment monitoring in psoriasis subjects.
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Affiliation(s)
- Xiuting Li
- A⁎STAR Skin Research Labs (A⁎SRL), Agency for Science, Technology and Research (A⁎STAR), 31 Biopolis Way, #07-01 Nanos, Singapore 138669, Republic of Singapore
| | | | - Keertana Vinod Ram
- A⁎STAR Skin Research Labs (A⁎SRL), Agency for Science, Technology and Research (A⁎STAR), 31 Biopolis Way, #07-01 Nanos, Singapore 138669, Republic of Singapore
| | - Hazel H. Oon
- National Skin Centre and Skin Research Institute of Singapore (SRIS), Singapore
| | | | - U.S. Dinish
- A⁎STAR Skin Research Labs (A⁎SRL), Agency for Science, Technology and Research (A⁎STAR), 31 Biopolis Way, #07-01 Nanos, Singapore 138669, Republic of Singapore
| | - Malini Olivo
- A⁎STAR Skin Research Labs (A⁎SRL), Agency for Science, Technology and Research (A⁎STAR), 31 Biopolis Way, #07-01 Nanos, Singapore 138669, Republic of Singapore
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6
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Wilk LS, Doppegieter M, van der Beek N, van Leeuwen TG, Aalders MCG. Modeling pulsed dye laser treatment of psoriatic plaques by combining numerical methods and image-derived lesion morphologies. Lasers Surg Med 2024; 56:508-522. [PMID: 38576388 DOI: 10.1002/lsm.23781] [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: 11/13/2023] [Revised: 02/27/2024] [Accepted: 03/20/2024] [Indexed: 04/06/2024]
Abstract
OBJECTIVES Knowledge of the physical effects of pulsed dye laser (PDL) treatment of psoriatic lesions is essential in unraveling the remedial mechanisms of this treatment and hence also in maximizing in its disease-modifying potential. Therefore, the main objective of this study was to provide estimates of these physical effects (for laser wavelengths of 585 and 595 nm), with the aim of identifying pathogenic processes that may be affected by these conditions. METHODS We modeled the laser light propagation and subsequent photothermal heating by numerically solving the transient diffusion and heat equations simultaneously. To this end, we used the finite element method in conjunction with an image-derived psoriatic lesion morphology (which was defined by segmenting blood vessels from a confocal microscopy image of a fluorescently labeled section of a 3 mm punch biopsy of a psoriatic lesion). The resulting predictions of the generated temperature field within the lesion were then used to assess the possibility of stalling or arresting some suspected pathogenic processes. RESULTS According to our results, it is conceivable that perivascular nerves are thermally denatured, as almost all locations that reach 60°C were found to be within 18 µm (at 585 nm) and 11 µm (at 595 nm) of a blood vessel wall. Furthermore, activation of TRPV1 and TRPV2 channels in perivascular neuronal and immune cells is highly likely, since a critical temperature of 43°C is generated at locations within up to 350 µm of a vessel wall (at both wavelengths) and sustained for up to 700 ms (at 585 nm) and 40 ms (at 595 nm), while a critical temperature of 52°C is reached by locations within 80 µm (at 585 nm) and 30 µm (at 595 nm) of a vessel wall and sustained for up to 100 ms (at 585 nm) and 30 ms (at 595 nm). Finally, we found that the blood vessel coagulation-inducing temperature of 70°C is sustained in the vascular epithelium for up to 19 and 5 ms at 585 and 595 nm, respectively, rendering partial or total loss of vascular functionality a distinct possibility. CONCLUSIONS The presented approach constitutes a useful tool to provide realistic estimates of the photothermal effects of PDL treatment of psoriatic plaques (as well as other selective photothermolysis-based treatments), yielding information that is essential in guiding future experimental studies toward unraveling the remedial mechanisms of these treatments.
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Affiliation(s)
- Leah S Wilk
- Amsterdam UMC, location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands
- Co van Ledden Hulsebosch Center, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Meagan Doppegieter
- Amsterdam UMC, location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Microcirculation, Amsterdam, The Netherlands
| | - Nick van der Beek
- ZBC MultiCare, Independent Treatment Center for Dermatology, Hilversum, The Netherlands
| | - Ton G van Leeuwen
- Amsterdam UMC, location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Heart Failure and Arrythmias, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Maurice C G Aalders
- Amsterdam UMC, location University of Amsterdam, Biomedical Engineering and Physics, Amsterdam, The Netherlands
- Co van Ledden Hulsebosch Center, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
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7
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Benavides-Lara J, Siegel AP, Tsoukas MM, Avanaki K. High-frequency photoacoustic and ultrasound imaging for skin evaluation: Pilot study for the assessment of a chemical burn. JOURNAL OF BIOPHOTONICS 2024; 17:e202300460. [PMID: 38719468 DOI: 10.1002/jbio.202300460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 04/02/2024] [Accepted: 04/04/2024] [Indexed: 07/13/2024]
Abstract
Skin architecture and its underlying vascular structure could be used to assess the health status of skin. A non-invasive, high resolution and deep imaging modality able to visualize skin subcutaneous layers and vasculature structures could be useful for determining and characterizing skin disease and trauma. In this study, a multispectral high-frequency, linear array-based photoacoustic/ultrasound (PAUS) probe is developed and implemented for the imaging of rat skin in vivo. The study seeks to demonstrate the probe capabilities for visualizing the skin and its underlying structures, and for monitoring changes in skin structure and composition during a 5-day course of a chemical burn. We analayze composition of lipids, water, oxy-hemoglobin, and deoxy-hemoglobin (for determination of oxygen saturation) in the skin tissue. The study successfully demonstrated the high-frequency PAUS imaging probe was able to provide 3D images of the rat skin architecture, underlying vasculature structures, and oxygen saturation, water, lipids and total hemoglobin.
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Affiliation(s)
- Juliana Benavides-Lara
- The Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Amanda P Siegel
- The Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Maria M Tsoukas
- Department of Dermatology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kamran Avanaki
- The Richard and Loan Hill Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, Illinois, USA
- Department of Dermatology, University of Illinois at Chicago, Chicago, Illinois, USA
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8
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He H, Paetzold JC, Borner N, Riedel E, Gerl S, Schneider S, Fisher C, Ezhov I, Shit S, Li H, Ruckert D, Aguirre J, Biedermann T, Darsow U, Menze B, Ntziachristos V. Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:2074-2085. [PMID: 38241120 DOI: 10.1109/tmi.2024.3356180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Ultra-wideband raster-scan optoacoustic mesoscopy (RSOM) is a novel modality that has demonstrated unprecedented ability to visualize epidermal and dermal structures in-vivo. However, an automatic and quantitative analysis of three-dimensional RSOM datasets remains unexplored. In this work we present our framework: Deep Learning RSOM Analysis Pipeline (DeepRAP), to analyze and quantify morphological skin features recorded by RSOM and extract imaging biomarkers for disease characterization. DeepRAP uses a multi-network segmentation strategy based on convolutional neural networks with transfer learning. This strategy enabled the automatic recognition of skin layers and subsequent segmentation of dermal microvasculature with an accuracy equivalent to human assessment. DeepRAP was validated against manual segmentation on 25 psoriasis patients under treatment and our biomarker extraction was shown to characterize disease severity and progression well with a strong correlation to physician evaluation and histology. In a unique validation experiment, we applied DeepRAP in a time series sequence of occlusion-induced hyperemia from 10 healthy volunteers. We observe how the biomarkers decrease and recover during the occlusion and release process, demonstrating accurate performance and reproducibility of DeepRAP. Furthermore, we analyzed a cohort of 75 volunteers and defined a relationship between aging and microvascular features in-vivo. More precisely, this study revealed that fine microvascular features in the dermal layer have the strongest correlation to age. The ability of our newly developed framework to enable the rapid study of human skin morphology and microvasculature in-vivo promises to replace biopsy studies, increasing the translational potential of RSOM.
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Sujino K, Tanese K, Saito Y, Kuramoto J, Iwazaki H, Ida T, Aiso S, Imanishi N, Kajita H, Fukuda K, Amagai M, Tanikawa A. Visualization of intradermal blood vessel structures by dual-wavelength photoacoustic microscopy and characterization of three-dimensional construction of livedo-racemosa in cutaneous polyarteritis nodosa. J Dermatol Sci 2024; 114:71-78. [PMID: 38644095 DOI: 10.1016/j.jdermsci.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 02/26/2024] [Accepted: 03/21/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND Photoacoustic microscopy is expected to have clinical applications as a noninvasive and three-dimensional (3D) method of observing intradermal structures. OBJECTIVE Investigate the applicability of a photoacoustic microscope equipped with two types of pulsed lasers that can simultaneously recognize hemoglobin and melanin. METHODS 16 skin lesions including erythema, pigmented lesions, vitiligo and purpura, were analyzed to visualize 3D structure of melanin granule distribution and dermal blood vessels. 13 cases of livedo racemosa in cutaneous polyarteritis nodosa (cPN) were further analyzed to visualize the 3D structure of dermal blood vessels in detail. Vascular structure was also analyzed in the biopsy specimens obtained from tender indurated erythema of cPN by CD34 immunostaining. RESULTS Hemoglobin-recognition signal clearly visualized the 3D structure of dermal blood vessels and melanin-recognition signal was consistently reduced in vitiligo. In livedo racemosa, the hemoglobin-recognition signal revealed a relatively thick and large reticular structure in the deeper layers that became denser and finer toward the upper layers. The numerical analysis revealed that the number of dermal blood vessels was 1.29-fold higher (p<0.05) in the deeper region of the lesion than that of normal skin. The CD34 immunohistochemical analysis in tender indurated erythema revealed an increased number of dermal vessels compared with normal skin in 88.9% (8/9) of the cases, suggesting that vascular network remodeling had occurred in cPN. CONCLUSION The photoacoustic system has an advantage in noninvasively detecting dermal blood vessel structures that are difficult to recognize by two-dimensional histopathology specimen examination and is worth evaluating in various skin diseases.
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Affiliation(s)
- Kazuyo Sujino
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Keiji Tanese
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan.
| | - Yasuko Saito
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Junko Kuramoto
- Department of Pathology, Keio University School of Medicine, Tokyo, Japan
| | | | | | - Sadakazu Aiso
- Department of Anatomy, Keio University School of Medicine, Tokyo, Japan
| | - Nobuaki Imanishi
- Department of Anatomy, Keio University School of Medicine, Tokyo, Japan
| | - Hiroki Kajita
- Department of Plastic Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Keitaro Fukuda
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Masayuki Amagai
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Akiko Tanikawa
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
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10
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Uluç N, Glasl S, Gasparin F, Yuan T, He H, Jüstel D, Pleitez MA, Ntziachristos V. Non-invasive measurements of blood glucose levels by time-gating mid-infrared optoacoustic signals. Nat Metab 2024; 6:678-686. [PMID: 38538980 PMCID: PMC11052715 DOI: 10.1038/s42255-024-01016-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 02/20/2024] [Indexed: 04/19/2024]
Abstract
Non-invasive glucose monitoring (NIGM) represents an attractive alternative to finger pricking for blood glucose assessment and management of diabetes. Nevertheless, current NIGM techniques do not measure glucose concentrations in blood but rely on indirect bulk measurement of glucose in interstitial fluid, where glucose is diluted and glucose dynamics are different from those in the blood, which impairs NIGM accuracy. Here we introduce a new biosensor, termed depth-gated mid-infrared optoacoustic sensor (DIROS), which allows, for the first time, non-invasive glucose detection in blood-rich volumes in the skin. DIROS minimizes interference caused by the stratum corneum and other superficial skin layers by time-gating mid-infrared optoacoustic signals to enable depth-selective localization of glucose readings in skin. In measurements on the ears of (female) mice, DIROS displays improved accuracy over bulk-tissue glucose measurements. Our work demonstrates how signal localization can improve NIGM accuracy and positions DIROS as a holistic approach, with high translational potential, that addresses a key limitation of current NIGM methods.
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Affiliation(s)
- Nasire Uluç
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Sarah Glasl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Francesca Gasparin
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Tao Yuan
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Dominik Jüstel
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Miguel A Pleitez
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Munich, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.
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11
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Blood glucose concentration measurement without finger pricking. Nat Metab 2024; 6:615-616. [PMID: 38538979 DOI: 10.1038/s42255-024-01017-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
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12
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He H, Fischer C, Darsow U, Aguirre J, Ntziachristos V. Quality control in clinical raster-scan optoacoustic mesoscopy. PHOTOACOUSTICS 2024; 35:100582. [PMID: 38312808 PMCID: PMC10835451 DOI: 10.1016/j.pacs.2023.100582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/15/2023] [Accepted: 12/21/2023] [Indexed: 02/06/2024]
Abstract
Optoacoustic (photoacoustic) mesoscopy bridges the gap between optoacoustic microscopy and macroscopy and enables high-resolution visualization deeper than optical microscopy. Nevertheless, as images may be affected by motion and noise, it is critical to develop methodologies that offer standardization and quality control to ensure that high-quality datasets are reproducibly obtained from patient scans. Such development is particularly important for ensuring reliability in applying machine learning methods or for reliably measuring disease biomarkers. We propose herein a quality control scheme to assess the quality of data collected. A reference scan of a suture phantom is performed to characterize the system noise level before each raster-scan optoacoustic mesoscopy (RSOM) measurement. Using the recorded RSOM data, we develop a method that estimates the amount of motion in the raw data. These motion metrics are employed to classify the quality of raw data collected and derive a quality assessment index (QASIN) for each raw measurement. Using simulations, we propose a selection criterion of images with sufficient QASIN, leading to the compilation of RSOM datasets with consistent quality. Using 160 RSOM measurements from healthy volunteers, we show that RSOM images that were selected using QASIN were of higher quality and fidelity compared to non-selected images. We discuss how this quality control scheme can enable the standardization of RSOM images for clinical and biomedical applications.
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Affiliation(s)
- Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Chiara Fischer
- Department of Dermatology and Allergy, Technical University of Munich, Munich, Germany
| | - Ulf Darsow
- Department of Dermatology and Allergy, Technical University of Munich, Munich, Germany
| | - Juan Aguirre
- Departamento de Tecnología Electrónica y de las Comunicaciones, Universidad Autónoma de Madrid, Madrid, Spain
- Instituto de Investigación Sanitaria de la Fundación Jimenez Diaz, Madrid, Spain
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
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13
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Wang Z, Chen Y, Pan S, Zhang W, Guo Z, Wang Y, Yang S. Quantitative classification of melasma with photoacoustic microscopy: a pilot study. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11504. [PMID: 37927370 PMCID: PMC10624224 DOI: 10.1117/1.jbo.29.s1.s11504] [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: 08/19/2023] [Revised: 10/15/2023] [Accepted: 10/20/2023] [Indexed: 11/07/2023]
Abstract
Significance The classification of melasma is critical for correct clinical diagnosis, treatment selection, and postoperative measures. However, preoperative quantitative determination of melasma type remains challenging using conventional Wood's lamp and optical dermoscopy techniques. Aim Using photoacoustic microscopy (PAM) to simultaneously obtain the two diagnostic indicators of melanin and blood vessels for melasma classification and perform quantitative analysis to finally achieve accurate classification, rather than relying solely on physicians' experience. Approach First, the patients were classified by experienced dermatologists with Wood's lamp and optical dermoscopy. Next, the patients were examined in vivo using the PAM imaging system. Further, the horizontal section images (X - Y plane) of epidermal melanin and dermal vascular involvement were extracted from the 3D photoacoustic imaging results, which are important basis for PAM to quantitatively classify melasma. Results PAM can quantitatively reveal epidermal thickness and dermal vascular morphology in each case and obtain the quantitative diagnostic indicators of melanin and blood vessels. The mean vascular diameter in lesional skin (223.2 μ m ) of epidermal M+V-type was much larger than that in non-lesional skin (131.6 μ m ), and the mean vascular density in lesional skin was more than three times that in non-lesional skin. Importantly, vascular diameter and density are important parameters for distinguishing M type from M+V type. Conclusions PAM can obtain the data of epidermal thickness, pigment depth, subcutaneous vascular diameter, and vascular density, and realize the dual standard quantitative melasma classification by combining the parameters of melanin and blood vessels. In addition, PAM can provide new diagnostic information for uncertain melasma types and further refine the typing.
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Affiliation(s)
- Zhiyang Wang
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
| | - Yuying Chen
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
| | - Shu Pan
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
| | - Wuyu Zhang
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
- Guangdong Photoacoustic Technology Co., Ltd., Foshan, China
| | - Ziwei Guo
- Zhujiang Hospital of Southern Medical University, Department of Plastic Surgery, Guangzhou, China
| | - Yuzhi Wang
- General Hospital of Southern Theater Command, Department of Burns and Plastic Surgery, Guangzhou, China
| | - Sihua Yang
- South China Normal University, Institute of Laser Life Science, College of Biophotonics, MOE Key Laboratory of Laser Life Science, Guangzhou, China
- South China Normal University, College of Biophotonics, Guangdong Provincial Key Laboratory of Laser Life Science, Guangzhou, China
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14
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Gao Y, Feng T, Qiu H, Gu Y, Chen Q, Zuo C, Ma H. 4D spectral-spatial computational photoacoustic dermoscopy. PHOTOACOUSTICS 2023; 34:100572. [PMID: 38058749 PMCID: PMC10696115 DOI: 10.1016/j.pacs.2023.100572] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/16/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023]
Abstract
Photoacoustic dermoscopy (PAD) is an emerging non-invasive imaging technology aids in the diagnosis of dermatological conditions by obtaining optical absorption information of skin tissues. Despite advances in PAD, it remains unclear how to obtain quantitative accuracy of the reconstructed PAD images according to the optical and acoustic properties of multilayered skin, the wavelength and distribution of excitation light, and the detection performance of ultrasound transducers. In this work, a computing method of four-dimensional (4D) spectral-spatial imaging for PAD is developed to enable quantitative analysis and optimization of structural and functional imaging of skin. This method takes the optical and acoustic properties of heterogeneous skin tissues into account, which can be used to correct the optical field of excitation light, detectable ultrasonic field, and provide accurate single-spectrum analysis or multi-spectral imaging solutions of PAD for multilayered skin tissues. A series of experiments were performed, and simulation datasets obtained from the computational model were used to train neural networks to further improve the imaging quality of the PAD system. All the results demonstrated the method could contribute to the development and optimization of clinical PADs by datasets with multiple variable parameters, and provide clinical predictability of photoacoustic (PA) data for human skin.
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Affiliation(s)
- Yang Gao
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Smart Computational Imaging Laboratory (SCILab), Nanjing 210094, China
- Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing 210094, China
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing 210094, China
| | - Ting Feng
- Fudan University, Academy for Engineering and Technology, Shanghai 200433, China
| | - Haixia Qiu
- First Medical Center of PLA General Hospital, Beijing 100853, China
| | - Ying Gu
- First Medical Center of PLA General Hospital, Beijing 100853, China
| | - Qian Chen
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Smart Computational Imaging Laboratory (SCILab), Nanjing 210094, China
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing 210094, China
| | - Chao Zuo
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Smart Computational Imaging Laboratory (SCILab), Nanjing 210094, China
- Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing 210094, China
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing 210094, China
| | - Haigang Ma
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Smart Computational Imaging Laboratory (SCILab), Nanjing 210094, China
- Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing 210094, China
- Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing 210094, China
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15
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Karlas A, Katsouli N, Fasoula NA, Bariotakis M, Chlis NK, Omar M, He H, Iakovakis D, Schäffer C, Kallmayer M, Füchtenbusch M, Ziegler A, Eckstein HH, Hadjileontiadis L, Ntziachristos V. Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage. Nat Biomed Eng 2023; 7:1667-1682. [PMID: 38049470 PMCID: PMC10727986 DOI: 10.1038/s41551-023-01151-w] [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: 04/19/2022] [Accepted: 10/24/2023] [Indexed: 12/06/2023]
Abstract
Skin microangiopathy has been associated with diabetes. Here we show that skin-microangiopathy phenotypes in humans can be correlated with diabetes stage via morphophysiological cutaneous features extracted from raster-scan optoacoustic mesoscopy (RSOM) images of skin on the leg. We obtained 199 RSOM images from 115 participants (40 healthy and 75 with diabetes), and used machine learning to segment skin layers and microvasculature to identify clinically explainable features pertaining to different depths and scales of detail that provided the highest predictive power. Features in the dermal layer at the scale of detail of 0.1-1 mm (such as the number of junction-to-junction branches) were highly sensitive to diabetes stage. A 'microangiopathy score' compiling the 32 most-relevant features predicted the presence of diabetes with an area under the receiver operating characteristic curve of 0.84. The analysis of morphophysiological cutaneous features via RSOM may allow for the discovery of diabetes biomarkers in the skin and for the monitoring of diabetes status.
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Affiliation(s)
- Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Nikoletta Katsouli
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Michail Bariotakis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikolaos-Kosmas Chlis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Murad Omar
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios Iakovakis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christoph Schäffer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | | | - Annette Ziegler
- Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany.
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16
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Sweeney A, Arora A, Edwards S, Mallidi S. Ultrasound-guided Photoacoustic image Annotation Toolkit in MATLAB (PHANTOM) for preclinical applications. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.07.565885. [PMID: 37986998 PMCID: PMC10659350 DOI: 10.1101/2023.11.07.565885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Depth-dependent fluence-compensation in photoacoustic (PA) imaging is paramount for accurate quantification of chromophores from deep tissues. Here we present a user-friendly toolkit named PHANTOM (PHotoacoustic ANnotation TOolkit for MATLAB) that includes a graphical interface and assists in the segmentation of ultrasound-guided PA images. We modelled the light source configuration with Monte Carlo eXtreme and utilized 3D segmented tissues from ultrasound to generate fluence maps to depth compensate PA images. The methodology was used to analyze PA images of phantoms with varying blood oxygenation and results were validated with oxygen electrode measurements. Two preclinical models, a subcutaneous tumor and a calcified placenta, were imaged and fluence-compensated using the PHANTOM toolkit and the results were verified with immunohistochemistry. The PHANTOM toolkit provides scripts and auxiliary functions to enable biomedical researchers not specialized in optical imaging to apply fluence correction to PA images, enhancing accessibility of quantitative PAI for researchers in various fields.
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Affiliation(s)
- Allison Sweeney
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
| | - Aayush Arora
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
| | - Skye Edwards
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
| | - Srivalleesha Mallidi
- Department of Biomedical Engineering, Tufts University, Medford, MA, United States
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, United States
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17
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Sandforth A, von Schwartzenberg RJ, Arreola EV, Hanson RL, Sancar G, Katzenstein S, Lange K, Preißl H, Dreher SI, Weigert C, Wagner R, Kantartzis K, Machann J, Schick F, Lehmann R, Peter A, Katsouli N, Ntziachristos V, Dannecker C, Fritsche L, Perakakis N, Heni M, Nawroth PP, Kopf S, Pfeiffer AFH, Kabisch S, Stumvoll M, Schwarz PEH, Hauner H, Lechner A, Seissler J, Yurchenko I, Icks A, Solimena M, Häring HU, Szendroedi J, Schürmann A, de Angelis MH, Blüher M, Roden M, Bornstein SR, Stefan N, Fritsche A, Birkenfeld AL. Mechanisms of weight loss-induced remission in people with prediabetes: a post-hoc analysis of the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS). Lancet Diabetes Endocrinol 2023; 11:798-810. [PMID: 37769677 DOI: 10.1016/s2213-8587(23)00235-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/02/2023] [Accepted: 08/04/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Remission of type 2 diabetes can occur as a result of weight loss and is characterised by liver fat and pancreas fat reduction and recovered insulin secretion. In this analysis, we aimed to investigate the mechanisms of weight loss- induced remission in people with prediabetes. METHODS In this prespecified post-hoc analysis, weight loss-induced resolution of prediabetes in the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS) was assessed, and the results were validated against participants from the Diabetes Prevention Program (DPP) study. For PLIS, between March 1, 2012, and Aug 31, 2016, participants were recruited from eight clinical study centres (including seven university hospitals) in Germany and randomly assigned to receive either a control intervention, a standard lifestyle intervention (ie, DPP-based intervention), or an intensified lifestyle intervention for 12 months. For DPP, participants were recruited from 23 clinical study centres in the USA between July 31, 1996, and May 18, 1999, and randomly assigned to receive either a standard lifestyle intervention, metformin, or placebo. In both PLIS and DPP, only participants who were randomly assigned to receive lifestyle intervention or placebo and who lost at least 5% of their bodyweight were included in this analysis. Responders were defined as people who returned to normal fasting plasma glucose (FPG; <5·6 mmol/L), normal glucose tolerance (<7·8 mmol/L), and HbA1c less than 39 mmol/mol after 12 months of lifestyle intervention or placebo or control intervention. Non-responders were defined as people who had FPG, 2 h glucose, or HbA1c more than these thresholds. The main outcomes for this analysis were insulin sensitivity, insulin secretion, visceral adipose tissue (VAT), and intrahepatic lipid content (IHL) and were evaluated via linear mixed models. FINDINGS Of 1160 participants recruited to PLIS, 298 (25·7%) had weight loss of 5% or more of their bodyweight at baseline. 128 (43%) of 298 participants were responders and 170 (57%) were non-responders. Responders were younger than non-responders (mean age 55·6 years [SD 9·9] vs 60·4 years [8·6]; p<0·0001). The DPP validation cohort included 683 participants who lost at least 5% of their bodyweight at baseline. Of these, 132 (19%) were responders and 551 (81%) were non-responders. In PLIS, BMI reduction was similar between responders and non-responders (responders mean at baseline 32·4 kg/m2 [SD 5·6] to mean at 12 months 29·0 kg/m2 [4·9] vs non-responders 32·1 kg/m2 [5·9] to 29·2 kg/m2 [5·4]; p=0·86). However, whole-body insulin sensitivity increased more in responders than in non-responders (mean at baseline 291 mL/[min × m2], SD 60 to mean at 12 months 378 mL/[min × m2], 56 vs 278 mL/[min × m2], 62, to 323 mL/[min × m2], 66; p<0·0001), whereas insulin secretion did not differ within groups over time or between groups (responders mean at baseline 175 pmol/mmol [SD 64] to mean at 12 months 163·7 pmol/mmol [60·6] vs non-responders 158·0 pmol/mmol [55·6] to 154·1 pmol/mmol [56·2]; p=0·46). IHL decreased in both groups, without a difference between groups (responders mean at baseline 10·1% [SD 8·7] to mean at 12 months 3·5% [3·9] vs non-responders 10·3% [8·1] to 4·2% [4·2]; p=0·34); however, VAT decreased more in responders than in non-responders (mean at baseline 6·2 L [SD 2·9] to mean at 12 months 4·1 L [2·3] vs 5·7 L [2·3] to 4·5 L [2·2]; p=0·0003). Responders had a 73% lower risk of developing type 2 diabetes than non-responders in the 2 years after the intervention ended. INTERPRETATION By contrast to remission of type 2 diabetes, resolution of prediabetes was characterised by an improvement in insulin sensitivity and reduced VAT. Because return to normal glucose regulation (NGR) prevents development of type 2 diabetes, we propose the concept of remission of prediabetes in analogy to type 2 diabetes. We suggest that remission of prediabetes should be the primary therapeutic aim in individuals with prediabetes. FUNDING German Federal Ministry for Education and Research via the German Center for Diabetes Research; the Ministry of Science, Research and the Arts Baden-Württemberg; the Helmholtz Association and Helmholtz Munich; the Cluster of Excellence Controlling Microbes to Fight Infections; and the German Research Foundation.
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Affiliation(s)
- Arvid Sandforth
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Reiner Jumpertz von Schwartzenberg
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Cluster of Excellence Controlling Microbes to Fight Infections, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Elsa Vazquez Arreola
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Gencer Sancar
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Sarah Katzenstein
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Karl Lange
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Hubert Preißl
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Simon I Dreher
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Cora Weigert
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Robert Wagner
- German Center for Diabetes Research, Neuherberg, Germany; Department of Endocrinology and Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Medical Faculty and University Hospital, Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kostantinos Kantartzis
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Jürgen Machann
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Department of Radiology, Section on Experimental Radiology, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Fritz Schick
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Department of Radiology, Section on Experimental Radiology, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Rainer Lehmann
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Andreas Peter
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital of Tübingen, Tübingen, Germany
| | - Nikoletta Katsouli
- Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Germany
| | - Vasilis Ntziachristos
- Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Munich, Germany
| | - Corinna Dannecker
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Louise Fritsche
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Nikolaos Perakakis
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine III, Technical University Dresden, Dresden, Germany
| | - Martin Heni
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Peter Paul Nawroth
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany
| | - Stefan Kopf
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany
| | - Andreas F H Pfeiffer
- German Center for Diabetes Research, Neuherberg, Germany; Department of Endocrinology and Metabolism, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Kabisch
- German Center for Diabetes Research, Neuherberg, Germany; German Institute of Human Nutrition Potsdam-Rehbrücke, Brandenburg, Germany
| | - Michael Stumvoll
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine, Endocrinology and Nephrology, Universität Leipzig, Leipzig, Germany
| | - Peter E H Schwarz
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine III, Technical University Dresden, Dresden, Germany
| | - Hans Hauner
- German Center for Diabetes Research, Neuherberg, Germany; Institute of Nutritional Medicine, Technical University of Munich, Munich, Germany
| | - Andreas Lechner
- German Center for Diabetes Research, Neuherberg, Germany; Diabetes Research Group, Medical Department, Ludwig-Maximilians University Munich, Munich, Germany
| | - Jochen Seissler
- German Center for Diabetes Research, Neuherberg, Germany; Diabetes Research Group, Medical Department, Ludwig-Maximilians University Munich, Munich, Germany
| | - Iryna Yurchenko
- German Center for Diabetes Research, Neuherberg, Germany; Medical Faculty and University Hospital, Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Andrea Icks
- German Center for Diabetes Research, Neuherberg, Germany; Institute for Health Services Research and Health Economics, Centre for Health and Society, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michele Solimena
- German Center for Diabetes Research, Neuherberg, Germany; Paul-Langerhans-Institut Dresden, Helmholtz Center Munich, University Clinic Carl Gustav Carus, Dresden, Germany
| | - Hans-Ulrich Häring
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Julia Szendroedi
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany
| | - Annette Schürmann
- German Center for Diabetes Research, Neuherberg, Germany; German Institute of Human Nutrition Potsdam-Rehbrücke, Brandenburg, Germany
| | - Martin Hrabé de Angelis
- German Center for Diabetes Research, Neuherberg, Germany; School of Medicine and School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany; Institute of Experimental Genetics, Helmholtz Center Munich, Munich, Germany
| | - Matthias Blüher
- German Center for Diabetes Research, Neuherberg, Germany; Department of Medicine, Endocrinology and Nephrology, Universität Leipzig, Leipzig, Germany
| | - Michael Roden
- German Center for Diabetes Research, Neuherberg, Germany; Department of Endocrinology and Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Medical Faculty and University Hospital, Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stefan R Bornstein
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine III, Technical University Dresden, Dresden, Germany; Department of Diabetes, Life Sciences and Medicine, Cardiovascular Medicine and Sciences, Kings College London, London, UK
| | - Norbert Stefan
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Andreas Fritsche
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany
| | - Andreas L Birkenfeld
- German Center for Diabetes Research, Neuherberg, Germany; Department of Internal Medicine IV, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University of Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, Eberhard-Karls University of Tübingen, Tübingen, Germany; Department of Diabetes, Life Sciences and Medicine, Cardiovascular Medicine and Sciences, Kings College London, London, UK.
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18
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Lee C, Kim C, Park B. Review of Three-Dimensional Handheld Photoacoustic and Ultrasound Imaging Systems and Their Applications. SENSORS (BASEL, SWITZERLAND) 2023; 23:8149. [PMID: 37836978 PMCID: PMC10575128 DOI: 10.3390/s23198149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/25/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023]
Abstract
Photoacoustic (PA) imaging is a non-invasive biomedical imaging technique that combines the benefits of optics and acoustics to provide high-resolution structural and functional information. This review highlights the emergence of three-dimensional handheld PA imaging systems as a promising approach for various biomedical applications. These systems are classified into four techniques: direct imaging with 2D ultrasound (US) arrays, mechanical-scanning-based imaging with 1D US arrays, mirror-scanning-based imaging, and freehand-scanning-based imaging. A comprehensive overview of recent research in each imaging technique is provided, and potential solutions for system limitations are discussed. This review will serve as a valuable resource for researchers and practitioners interested in advancements and opportunities in three-dimensional handheld PA imaging technology.
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Affiliation(s)
- Changyeop Lee
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang 37673, Republic of Korea;
| | - Chulhong Kim
- Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, Graduate School of Artificial Intelligence, and Medical Device Innovation Center, Pohang University of Science and Technology, Pohang 37673, Republic of Korea;
| | - Byullee Park
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
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19
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He H, Fasoula NA, Karlas A, Omar M, Aguirre J, Lutz J, Kallmayer M, Füchtenbusch M, Eckstein HH, Ziegler A, Ntziachristos V. Opening a window to skin biomarkers for diabetes stage with optoacoustic mesoscopy. LIGHT, SCIENCE & APPLICATIONS 2023; 12:231. [PMID: 37718348 PMCID: PMC10505608 DOI: 10.1038/s41377-023-01275-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 08/10/2023] [Accepted: 08/28/2023] [Indexed: 09/19/2023]
Abstract
Being the largest and most accessible organ of the human body, the skin could offer a window to diabetes-related complications on the microvasculature. However, skin microvasculature is typically assessed by histological analysis, which is not suited for applications to large populations or longitudinal studies. We introduce ultra-wideband raster-scan optoacoustic mesoscopy (RSOM) for precise, non-invasive assessment of diabetes-related changes in the dermal microvasculature and skin micro-anatomy, resolved with unprecedented sensitivity and detail without the need for contrast agents. Providing unique imaging contrast, we explored a possible role for RSOM as an investigational tool in diabetes healthcare and offer the first comprehensive study investigating the relationship between different diabetes complications and microvascular features in vivo. We applied RSOM to scan the pretibial area of 95 participants with diabetes mellitus and 48 age-matched volunteers without diabetes, grouped according to disease complications, and extracted six label-free optoacoustic biomarkers of human skin, including dermal microvasculature density and epidermal parameters, based on a novel image-processing pipeline. We then correlated these biomarkers to disease severity and found statistically significant effects on microvasculature parameters as a function of diabetes complications. We discuss how label-free RSOM biomarkers can lead to a quantitative assessment of the systemic effects of diabetes and its complications, complementing the qualitative assessment allowed by current clinical metrics, possibly leading to a precise scoring system that captures the gradual evolution of the disease.
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Affiliation(s)
- Hailong He
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Murad Omar
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Juan Aguirre
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Jessica Lutz
- Diabetes Center at Marienplatz, Munich, Germany
- Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Martin Füchtenbusch
- Diabetes Center at Marienplatz, Munich, Germany
- Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Annette Ziegler
- Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.
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20
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Fasoula NA, Xie Y, Katsouli N, Reidl M, Kallmayer MA, Eckstein HH, Ntziachristos V, Hadjileontiadis L, Avgerinos DV, Briasoulis A, Siasos G, Hosseini K, Doulamis I, Kampaktsis PN, Karlas A. Clinical and Translational Imaging and Sensing of Diabetic Microangiopathy: A Narrative Review. J Cardiovasc Dev Dis 2023; 10:383. [PMID: 37754812 PMCID: PMC10531807 DOI: 10.3390/jcdd10090383] [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: 05/31/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023] Open
Abstract
Microvascular changes in diabetes affect the function of several critical organs, such as the kidneys, heart, brain, eye, and skin, among others. The possibility of detecting such changes early enough in order to take appropriate actions renders the development of appropriate tools and techniques an imperative need. To this end, several sensing and imaging techniques have been developed or employed in the assessment of microangiopathy in patients with diabetes. Herein, we present such techniques; we provide insights into their principles of operation while discussing the characteristics that make them appropriate for such use. Finally, apart from already established techniques, we present novel ones with great translational potential, such as optoacoustic technologies, which are expected to enter clinical practice in the foreseeable future.
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Affiliation(s)
- Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Yi Xie
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Nikoletta Katsouli
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Mario Reidl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Michael A. Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany; (M.A.K.); (H.-H.E.)
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany; (M.A.K.); (H.-H.E.)
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80336 Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates;
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | | | - Alexandros Briasoulis
- Aleksandra Hospital, National and Kapodistrian University of Athens Medical School, 11527 Athens, Greece;
| | - Gerasimos Siasos
- Sotiria Hospital, National and Kapodistrian University of Athens Medical School, 11527 Athens, Greece;
| | - Kaveh Hosseini
- Cardiac Primary Prevention Research Center, Cardiovascular Disease Research Institute, Tehran University of Medical Sciences, Tehran 1411713138, Iran;
| | - Ilias Doulamis
- Department of Surgery, The Johns Hopkins Hospital, School of Medicine, Baltimore, MD 21287, USA;
| | | | - Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany; (N.-A.F.); (Y.X.); (N.K.); (V.N.)
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), 81675 Munich, Germany; (M.A.K.); (H.-H.E.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 80336 Munich, Germany
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21
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Rix T, Dreher KK, Nölke JH, Schellenberg M, Tizabi MD, Seitel A, Maier-Hein L. Efficient Photoacoustic Image Synthesis with Deep Learning. SENSORS (BASEL, SWITZERLAND) 2023; 23:7085. [PMID: 37631628 PMCID: PMC10457787 DOI: 10.3390/s23167085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/25/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023]
Abstract
Photoacoustic imaging potentially allows for the real-time visualization of functional human tissue parameters such as oxygenation but is subject to a challenging underlying quantification problem. While in silico studies have revealed the great potential of deep learning (DL) methodology in solving this problem, the inherent lack of an efficient gold standard method for model training and validation remains a grand challenge. This work investigates whether DL can be leveraged to accurately and efficiently simulate photon propagation in biological tissue, enabling photoacoustic image synthesis. Our approach is based on estimating the initial pressure distribution of the photoacoustic waves from the underlying optical properties using a back-propagatable neural network trained on synthetic data. In proof-of-concept studies, we validated the performance of two complementary neural network architectures, namely a conventional U-Net-like model and a Fourier Neural Operator (FNO) network. Our in silico validation on multispectral human forearm images shows that DL methods can speed up image generation by a factor of 100 when compared to Monte Carlo simulations with 5×108 photons. While the FNO is slightly more accurate than the U-Net, when compared to Monte Carlo simulations performed with a reduced number of photons (5×106), both neural network architectures achieve equivalent accuracy. In contrast to Monte Carlo simulations, the proposed DL models can be used as inherently differentiable surrogate models in the photoacoustic image synthesis pipeline, allowing for back-propagation of the synthesis error and gradient-based optimization over the entire pipeline. Due to their efficiency, they have the potential to enable large-scale training data generation that can expedite the clinical application of photoacoustic imaging.
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Affiliation(s)
- Tom Rix
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- Faculty of Mathematics and Computer Sciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Kris K. Dreher
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- Faculty of Physics and Astronomy, Heidelberg University, 69120 Heidelberg, Germany
| | - Jan-Hinrich Nölke
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- Faculty of Mathematics and Computer Sciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Melanie Schellenberg
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- Faculty of Mathematics and Computer Sciences, Heidelberg University, 69120 Heidelberg, Germany
- HIDSS4Health—Helmholtz Information and Data Science School for Health, 69120 Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, 69120 Heidelberg, Germany
| | - Minu D. Tizabi
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, 69120 Heidelberg, Germany
| | - Alexander Seitel
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, 69120 Heidelberg, Germany
| | - Lena Maier-Hein
- Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, 69120 Heidelberg, Germany
- Faculty of Mathematics and Computer Sciences, Heidelberg University, 69120 Heidelberg, Germany
- HIDSS4Health—Helmholtz Information and Data Science School for Health, 69120 Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and University Medical Center Heidelberg, 69120 Heidelberg, Germany
- Medical Faculty, Heidelberg University, 69120 Heidelberg, Germany
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22
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Harary T, Hazan Y, Rosenthal A. All-optical optoacoustic micro-tomography in reflection mode. Biomed Eng Lett 2023; 13:475-483. [PMID: 37519878 PMCID: PMC10382435 DOI: 10.1007/s13534-023-00278-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 03/17/2023] [Accepted: 04/03/2023] [Indexed: 08/01/2023] Open
Abstract
High-resolution optoacoustic imaging at depths beyond the optical diffusion limit is conventionally performed using a microscopy setup where a strongly focused ultrasound transducer samples the image object point-by-point. Although recent advancements in miniaturized ultrasound detectors enables one to achieve microscopic resolution with an unfocused detector in a tomographic configuration, such an approach requires illuminating the entire object, leading to an inefficient use of the optical power, and imposing a trans-illumination configuration that is limited to thin objects. We developed an optoacoustic micro-tomography system in an epi-illumination configuration, in which the illumination is scanned with the detector. The system is demonstrated in phantoms for imaging depths of up to 5 mm and in vivo for imaging the vasculature of a mouse ear. Although image-formation in optoacoustic tomography generally requires static illumination, our numerical simulations and experimental measurements show that this requirement is relaxed in practice due to light diffusion, which homogenizes the fluence in deep tissue layers.
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Affiliation(s)
- Tamar Harary
- Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion – Israel Institute of Technology, Technion City, Haifa, 32000 Israel
| | - Yoav Hazan
- Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion – Israel Institute of Technology, Technion City, Haifa, 32000 Israel
| | - Amir Rosenthal
- Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion – Israel Institute of Technology, Technion City, Haifa, 32000 Israel
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23
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Park B, Oh D, Kim J, Kim C. Functional photoacoustic imaging: from nano- and micro- to macro-scale. NANO CONVERGENCE 2023; 10:29. [PMID: 37335405 PMCID: PMC10279631 DOI: 10.1186/s40580-023-00377-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/24/2023] [Indexed: 06/21/2023]
Abstract
Functional photoacoustic imaging is a promising biological imaging technique that offers such unique benefits as scalable resolution and imaging depth, as well as the ability to provide functional information. At nanoscale, photoacoustic imaging has provided super-resolution images of the surface light absorption characteristics of materials and of single organelles in cells. At the microscopic and macroscopic scales. photoacoustic imaging techniques have precisely measured and quantified various physiological parameters, such as oxygen saturation, vessel morphology, blood flow, and the metabolic rate of oxygen, in both human and animal subjects. This comprehensive review provides an overview of functional photoacoustic imaging across multiple scales, from nano to macro, and highlights recent advances in technology developments and applications. Finally, the review surveys the future prospects of functional photoacoustic imaging in the biomedical field.
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Affiliation(s)
- Byullee Park
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering, School of Interdisciplinary Bioscience and Bioengineering, Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Donghyeon Oh
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering, School of Interdisciplinary Bioscience and Bioengineering, Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
| | - Jeesu Kim
- Departments of Cogno-Mechatronics Engineering and Optics and Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan, 46241, Republic of Korea.
| | - Chulhong Kim
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering, School of Interdisciplinary Bioscience and Bioengineering, Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
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24
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Zhang W, Luo X, Yang F, Tong Z, Liang J, Yuan B, Yang S, Wang Z. Photoacoustic (532 and 1064 nm) and ultrasonic coscanning microscopy for in vivo imaging on small animals: A productized strategy. JOURNAL OF BIOPHOTONICS 2023; 16:e202300007. [PMID: 36789474 DOI: 10.1002/jbio.202300007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/06/2023] [Accepted: 02/06/2023] [Indexed: 06/07/2023]
Abstract
Photoacoustic microscopy provides a new dimension of observation in microscopic life science. However, due to the high complexity of building a photoacoustic microscopy system, for many life science practitioners, it usually takes several years to build a stable photoacoustic microscopy system. For the above situation, in this article, a productized strategy of photoacoustic (532 and 1064 nm) and ultrasonic coscanning microscopy for in vivo imaging on small animals is presented. A 532 nm laser is applied to image blood vessels and pigments in label-free manner, whereas 1064 nm laser is applied to image pigments and some novel probes developed for NIR-II windows. Ultrasound is applied to assist photoacoustic imaging to accurately locate its imaging site in tissues. All 3D results are obtained with one single scan. The strategy presented here will help life science practitioners to build a stable photoacoustic microscopy platform.
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Affiliation(s)
- Wuyu Zhang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Photoacoustic Technology Co., Ltd, Foshan, China
| | - Xingzhi Luo
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Photoacoustic Technology Co., Ltd, Foshan, China
| | - Fei Yang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Zhuangzhuang Tong
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Photoacoustic Technology Co., Ltd, Foshan, China
| | - Jiaxi Liang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Bo Yuan
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Sihua Yang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Zhiyang Wang
- MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
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25
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MacMath D, Chen M, Khoury P. Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology. Curr Allergy Asthma Rep 2023; 23:351-362. [PMID: 37160554 PMCID: PMC10169188 DOI: 10.1007/s11882-023-01084-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2023] [Indexed: 05/11/2023]
Abstract
PURPOSE OF REVIEW Artificial intelligence (AI) has increasingly been used in healthcare. Given the capacity of AI to handle large data and complex relationships between variables, AI is well suited for applications in healthcare. Recently, AI has been applied to allergy research. RECENT FINDINGS In this article, we review how AI technologies have been utilized in basic science and clinical allergy research for asthma, atopic dermatitis, rhinology, adverse reactions to drugs and vaccines, food allergy, anaphylaxis, urticaria, and eosinophilic gastrointestinal disorders. We discuss barriers for AI adoption to improve the care of patients with atopic diseases. These studies demonstrate the utility of applying AI to the field of allergy to help investigators expand their understanding of disease pathogenesis, improve diagnostic accuracy, enable prediction for treatments and outcomes, and for drug discovery.
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Affiliation(s)
- Derek MacMath
- Department of Medicine, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Meng Chen
- Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Paneez Khoury
- National Institutes of Allergic and Infectious Diseases, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD, USA.
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26
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Hacker L, Brown EL, Lefebvre TL, Sweeney PW, Bohndiek SE. Performance evaluation of mesoscopic photoacoustic imaging. PHOTOACOUSTICS 2023; 31:100505. [PMID: 37214427 PMCID: PMC10199419 DOI: 10.1016/j.pacs.2023.100505] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/05/2023] [Accepted: 05/05/2023] [Indexed: 05/24/2023]
Abstract
Photoacoustic mesoscopy visualises vascular architecture at high-resolution up to ~3 mm depth. Despite promise in preclinical and clinical imaging studies, with applications in oncology and dermatology, the accuracy and precision of photoacoustic mesoscopy is not well established. Here, we evaluate a commercial photoacoustic mesoscopy system for imaging vascular structures. Typical artefact types are first highlighted and limitations due to non-isotropic illumination and detection are evaluated with respect to rotation, angularity, and depth of the target. Then, using tailored phantoms and mouse models, we investigate system precision, showing coefficients of variation (COV) between repeated scans [short term (1 h): COV= 1.2%; long term (25 days): COV= 9.6%], from target repositioning (without: COV=1.2%, with: COV=4.1%), or from varying in vivo user experience (experienced: COV=15.9%, unexperienced: COV=20.2%). Our findings show robustness of the technique, but also underscore general challenges of limited-view photoacoustic systems in accurately imaging vessel-like structures, thereby guiding users when interpreting biologically-relevant information.
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Affiliation(s)
- Lina Hacker
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Emma L. Brown
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Thierry L. Lefebvre
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Paul W. Sweeney
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
| | - Sarah E. Bohndiek
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK
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27
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Nau T, Schönmann C, Hindelang B, Riobo L, Doll A, Schneider S, Englert L, He H, Biedermann T, Darsow U, Lauffer F, Ntziachristos V, Aguirre J. Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions. PHOTOACOUSTICS 2023; 31:100513. [PMID: 37275325 PMCID: PMC10236218 DOI: 10.1016/j.pacs.2023.100513] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/10/2023] [Accepted: 05/19/2023] [Indexed: 06/07/2023]
Abstract
Atopic dermatitis (AD) is the most common chronic inflammatory skin disease worldwide. Its severity is assessed using scores that rely on visual observation of the affected body surface area, the morphology of the lesions and subjective symptoms, like pruritus or insomnia. Ideally, such scores should be complemented by objective and accurate measurements of disease severity to standardize disease scoring in routine care and clinical trials. Recently, it was shown that raster-scanning optoacoustic mesoscopy (RSOM) can provide detailed three-dimensional images of skin inflammation processes that capture the most relevant features of their pathology. Moreover, precise RSOM biomarkers of inflammation have been identified for psoriasis. However, the objectivity and validity of such biomarkers in repeated measurements have not yet been assessed for AD. Here, we report the results of a study on the repeatability of RSOM inflammation biomarkers in AD to estimate their precision. Optoacoustic imaging analysis revealed morphological inflammation biomarkers with precision well beyond standard clinical severity metrics. Our findings suggest that optoacoustic mesoscopy may be a good choice for quantitative evaluations of AD that are inaccessible by other methods. This could potentially enable the optimization of disease scoring and drug development.
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Affiliation(s)
- T. Nau
- Department of Dermatology and Allergology, Technical University of Munich, 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
| | - C. Schönmann
- Department of Dermatology and Allergology, Technical University of Munich, 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
| | - B. Hindelang
- Department of Dermatology and Allergology, Technical University of Munich, 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
| | - L. Riobo
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
| | - A. Doll
- Department of Dermatology and Allergology, Technical University of Munich, Munich, Germany
| | - S. Schneider
- Department of Dermatology and Allergology, Technical University of Munich, 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
| | - L. Englert
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
| | - H. He
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
| | - T. Biedermann
- Department of Dermatology and Allergology, Technical University of Munich, Munich, Germany
| | - U. Darsow
- Department of Dermatology and Allergology, Technical University of Munich, Munich, Germany
| | - F. Lauffer
- Department of Dermatology and Allergology, Technical University of Munich, Munich, Germany
| | - V. 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
| | - J. Aguirre
- Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764 Neuherberg, Germany
- Departamento de Tecnología Electrónica y de las Comunicaciones, Universidad Autonoma de Madrid, Madrid, Spain
- Instituto de Investigacion Sanitaria de la Fundacion Jimenez Diaz, Madrid, Spain
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28
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Wang Z, Yang F, Zhang W, Xiong K, Yang S. Towards in vivo photoacoustic human imaging: shining a new light on clinical diagnostics. FUNDAMENTAL RESEARCH 2023. [DOI: 10.1016/j.fmre.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023] Open
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29
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Yang L, Xu D, Chen G, Wang A, Li L, Sun Q. Miniaturized fiber optic ultrasound sensor with multiplexing for photoacoustic imaging. PHOTOACOUSTICS 2022; 28:100421. [PMID: 36325305 PMCID: PMC9619189 DOI: 10.1016/j.pacs.2022.100421] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 09/29/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
A miniaturized ultrasound sensor based on optical fiber is designed and realized for multichannel parallel ultrasound detection and photoacoustic imaging. The fiber optic sensor is composed of a polymer coating, a reflective mirror and a single-mode optical fiber, with only 125 µm in diameter. By integrating the coherent demodulation technology and multiplexing technology, which using a relatively cheap fixed wavelength laser, hundreds of sensors could work simultaneously. Meanwhile, highly sensitive ultrasound detection has been demonstrated with the noise equivalent pressure as low as 0.46 kPa and the sensor exhibits a nearly omnidirectional directivity. Furthermore, a photoacoustic imaging system based on three sensors working in parallel is demonstrated. High lateral resolutions of 165-217 µm and axial resolutions of 112-131 µm over a depth range of larger than 5 mm are obtained. A three-dimensional phantom imaging experiment is also demonstrated. Benefited from parallel detection, the imaging speed is three times faster than that of a single sensor. The miniaturized fiber optic ultrasound sensor probe provides a competitive alternative for mechanically scanning-free endoscopic imaging, which is beneficial from small size, omnidirectional directivity and parallel detection capability.
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Affiliation(s)
- Liuyang Yang
- School of Optical and Electronic Information & National Engineering Research Center of Next Generation Internet Access-system (NGIAs) & Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- Hust-Wuxi Research Institute, Wuxi, Jiangsu 214174, China
| | - Dongchen Xu
- School of Optical and Electronic Information & National Engineering Research Center of Next Generation Internet Access-system (NGIAs) & Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Geng Chen
- School of Optical and Electronic Information & National Engineering Research Center of Next Generation Internet Access-system (NGIAs) & Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Anqi Wang
- School of Optical and Electronic Information & National Engineering Research Center of Next Generation Internet Access-system (NGIAs) & Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Liangye Li
- School of Optical and Electronic Information & National Engineering Research Center of Next Generation Internet Access-system (NGIAs) & Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Qizhen Sun
- School of Optical and Electronic Information & National Engineering Research Center of Next Generation Internet Access-system (NGIAs) & Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
- Hust-Wuxi Research Institute, Wuxi, Jiangsu 214174, China
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30
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Hofmann UA, Li W, Deán-Ben XL, Subochev P, Estrada H, Razansky D. Enhancing optoacoustic mesoscopy through calibration-based iterative reconstruction. PHOTOACOUSTICS 2022; 28:100405. [PMID: 36246932 PMCID: PMC9554813 DOI: 10.1016/j.pacs.2022.100405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/19/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Optoacoustic mesoscopy combines rich optical absorption contrast with high spatial resolution at tissue depths beyond reach for microscopic techniques employing focused light excitation. The mesoscopic imaging performance is commonly hindered by the use of inaccurate delay-and-sum reconstruction approaches and idealized modeling assumptions. In principle, image reconstruction performance could be enhanced by simulating the optoacoustic signal generation, propagation, and detection path. However, for most realistic experimental scenarios, the underlying total impulse response (TIR) cannot be accurately modelled. Here we propose to capture the TIR by scanning of a sub-resolution sized absorber. Significant improvement of spatial resolution and depth uniformity is demonstrated over 3 mm range, outperforming delay-and-sum and model-based reconstruction implementations. Reconstruction performance is validated by imaging subcutaneous murine vasculature and human skin in vivo. The proposed experimental calibration and reconstruction paradigm facilitates quantitative inversions while averting complex physics-based simulations. It can readily be applied to other imaging modalities employing TIR-based reconstructions.
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Affiliation(s)
- Urs A.T. Hofmann
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Weiye Li
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Xosé Luís Deán-Ben
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Pavel Subochev
- Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, Russia
| | - Héctor Estrada
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
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31
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Li X, Moothanchery M, Kwa CY, Tan WL, Yew YW, Thng STG, Dinish U, Attia ABE, Olivo M. Multispectral raster-scanning optoacoustic mesoscopy differentiate lesional from non-lesional atopic dermatitis skin using structural and functional imaging markers. PHOTOACOUSTICS 2022; 28:100399. [PMID: 36090012 PMCID: PMC9450137 DOI: 10.1016/j.pacs.2022.100399] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 05/05/2023]
Abstract
Atopic dermatitis (AD) is a chronic and pruritic skin inflammatory disease causing a significant burden to health care management and patient's quality of life. Seemingly healthy skin or non-lesional sites on AD patients still presents skin barrier defects and immune response, which can develop to AD at a later stage. To investigate further the balance between the epidermal barrier impairment and intrinsic immune dysregulation in AD, we exploited multispectral Raster-Scanning Optoacoustic Mesoscopy (ms-RSOM) to image lesional and non-lesional skin areas on AD patients of different severities non-invasively to elucidate their structural features and functional information. Herein, we demonstrate the objective assessment of AD severity using relative changes in oxygen saturation (δsO2) levels in microvasculature along with other structural parameters such as relative changes in epidermis thickness (δET) and total blood volume (δTBV) between the lesional and non-lesional areas of the skin. We could observe an increasing trend for δsO2 and δTBV, which correlated well with the subjective clinical Scoring Atopic Dermatitis (SCORAD) for evaluating the severity. Notably, δET showed a decreasing trend with AD severity, indicating that the difference in epidermal thickness between lesional and non-lesional area of the skin decreases with AD severity. Our results also correlated well with conventional metrics such as trans-epidermal water loss (TEWL) and erythrosine sedimentation rate (ESR). We quantified the δsO2 and δET changes to objectively evaluate the treatment response before and four months after treatment using topical steroids and cyclosporine in one severe AD patient. We observed reduced δsO2 and δET post treatment. We envision that in future, functional and structural imaging metrics derived from ms-RSOM can be translated as objective markers to assess and stratify the severity of AD and understand the function of skin barrier dysfunctions and immune dysregulation. It could also be employed to monitor the treatment response of AD in regular clinical settings.
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Affiliation(s)
- Xiuting Li
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A⁎STAR), Singapore
| | - Mohesh Moothanchery
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A⁎STAR), Singapore
| | | | | | | | | | - U.S. Dinish
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A⁎STAR), Singapore
- Corresponding authors.
| | - Amalina Binte Ebrahim Attia
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A⁎STAR), Singapore
- Corresponding authors.
| | - Malini Olivo
- Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging (IBB), Agency for Science, Technology and Research (A⁎STAR), Singapore
- Corresponding authors.
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32
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El Miedany Y, Ismail S, Wadie M, Hassan M. Nailfold capillaroscopy: tips and challenges. Clin Rheumatol 2022; 41:3629-3640. [PMID: 36040673 DOI: 10.1007/s10067-022-06354-1] [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: 06/07/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/03/2022]
Abstract
Although nailfold capillaroscopy (NFC) appears to have a bright future in clinical practice, the lack of familiarity with the technique and how to interpret its outcomes is major barriers which have made nailfold capillaroscopy an underutilized method in standard clinical practice. Traditional methods for assessment and measurement of capillary patterns, density, and blood flow are falling behind and face some challenges. In fact, there have been calls for improvement, hence the recent publication of the standardization of NFC by the EULAR Study Group on Microcirculation in Rheumatic Diseases. Nailfold capillaroscopy has the advantage of being a non-invasive technique that provides a window into the digital microcirculation. This paved the way for a rapidly growing interest in using capillaroscopy parameters as outcome measures in research. In standard clinical practice, whilst its main application is in the identification of an underlying systemic sclerosis spectrum disorder in patients presenting with Raynaud's phenomenon, its use has expanded to include other clinical features possibly suggestive of an underlying connective tissue disease. This article presents the challenges, provides tips, and highlights the exciting potential of nailfold capillaroscopy in standard practice.
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Affiliation(s)
- Yasser El Miedany
- Canterbury Christ Church University, Institute of Medical Sciences, Canterbury, England, UK.
| | - Sherif Ismail
- Rheumatology and Rehabilitation, Internal Medicine Department, National Research Center, Cairo, Egypt
| | - Mary Wadie
- Internal Medicine Cairo University, Cairo, Egypt
| | - Mohammed Hassan
- Rheumatology and Rehabilitation, Tanta University, Tanta, Egypt
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33
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Geisler EL, Brannen A, Pressler M, Perez J, Kane AA, Hallac RR. 3D imaging of vascular anomalies using raster-scanning optoacoustic mesoscopy. Lasers Surg Med 2022; 54:1269-1277. [PMID: 35870193 DOI: 10.1002/lsm.23588] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 06/18/2022] [Accepted: 07/13/2022] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Vascular anomalies such as capillary malformations (CMs) and infantile hemangiomas (IHs) are common pediatric vascular disorders that are treated with therapeutic laser. The treatment method, however, relies on subjective evaluation of clinical findings and can have unpredictable results. Raster-scanning optoacoustic mesoscopy (RSOM) is an innovative imaging technology using pulsed-light laser to excite hemoglobin, generating ultrasound waves that are converted into three-dimensional images of tissues. RSOM can provide objective information about superficial structures such as the microvasculature of vascular anomalies. MATERIALS AND METHODS In this study, we explore the clinical potential of RSOM to study vascular anomalies before and after laser treatment. We scanned nine patients with CM (n = 6) and IH (n = 3) who underwent laser treatment and calculated the blood vessel volume. RESULTS Overall, there was a posttreatment volume increase in CM, and a decrease in IH. CONCLUSION These findings support the possibility that RSOM may have a role in developing an objective method of evaluating these lesions, leading to a tailored treatment approach and avoidance of adverse outcomes.
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Affiliation(s)
- Emily L Geisler
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Mark Pressler
- University of Texas Southwestern Medical Center, Dallas, Texas, USA.,University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Jeyna Perez
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Alex A Kane
- University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Analytical Imaging and Modeling Center, Children's Health, Dallas, Texas, USA
| | - Rami R Hallac
- University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Analytical Imaging and Modeling Center, Children's Health, Dallas, Texas, USA
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34
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Liu N, Mishra K, Stiel AC, Gujrati V, Ntziachristos V. The sound of drug delivery: Optoacoustic imaging in pharmacology. Adv Drug Deliv Rev 2022; 189:114506. [PMID: 35998826 DOI: 10.1016/j.addr.2022.114506] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 07/14/2022] [Accepted: 08/17/2022] [Indexed: 01/24/2023]
Abstract
Optoacoustic (photoacoustic) imaging offers unique opportunities for visualizing biological function in vivo by achieving high-resolution images of optical contrast much deeper than any other optical technique. The method detects ultrasound waves that are generated inside tissue by thermo-elastic expansion, i.e., the conversion of light absorption by tissue structures to ultrasound when the tissue is illuminated by the light of varying intensity. Listening instead of looking to light offers the major advantage of image formation with a resolution that obeys ultrasonic diffraction and not photon diffusion laws. While the technique has been widely used to explore contrast from endogenous photo-absorbing molecules, such as hemoglobin or melanin, the use of exogenous agents can extend applications to a larger range of biological and possible clinical applications, such as image-guided surgery, disease monitoring, and the evaluation of drug delivery, biodistribution, and kinetics. This review summarizes recent developments in optoacoustic agents, and highlights new functions visualized and potent pharmacology applications enabled with the use of external contrast agents.
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Affiliation(s)
- Nian Liu
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich 81675, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg 85764, Germany; PET Center, Department of Nuclear Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Kanuj Mishra
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg 85764, Germany
| | - Andre C Stiel
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg 85764, Germany
| | - Vipul Gujrati
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich 81675, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg 85764, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich 81675, Germany; Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg 85764, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich 80992, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.
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35
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Englert L, Riobo L, Schönmann C, Ntziachristos V, Aguirre J. Enabling the autofocus approach for parameter optimization in planar measurement geometry clinical optoacoustic imaging. JOURNAL OF BIOPHOTONICS 2022; 15:e202200032. [PMID: 35599314 DOI: 10.1002/jbio.202200032] [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: 02/08/2022] [Revised: 04/10/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
In optoacoustic (photoacoustic) tomography, several parameters related to tissue and detector features are needed for image formation, but they may not be known a priori. An autofocus (AF) algorithm is generally used to estimate these parameters. However, the algorithm works iteratively and is therefore impractical for clinical imaging with planar geometry systems due to the long reconstruction times. We have developed a fast autofocus (FAF) algorithm for 3D optoacoustic systems with planar geometry. Such an algorithm exploits the symmetries of the planar geometry and a virtual source concept to reduce the dimensionality of the parameter estimation problem. The dimensionality reduction makes FAF much simpler computationally than the conventional AF algorithm. We show that the FAF algorithm required about 5 s to provide accurate estimates of the speed of sound in simulated data and experimental data obtained using an imaging system that is poised to enter the clinic. The applicability of FAF for estimating other image formation parameters is discussed. We expect the FAF algorithm to contribute decisively to the clinical use of optoacoustic tomography systems with planar geometry.
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Affiliation(s)
- Ludwig Englert
- Chair of Biological Imaging, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, Neuherberg, Germany
| | - Lucas Riobo
- Chair of Biological Imaging, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, Neuherberg, Germany
| | - Christine Schönmann
- Chair of Biological Imaging, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, Neuherberg, Germany
- Department of Dermatology and Allergy, Technical University of Munich, Munich, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany
| | - Juan Aguirre
- Chair of Biological Imaging, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, Neuherberg, Germany
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36
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Hu Y, Zhang BY, Haque F, Ren G, Ou JZ. Plasmonic metal oxides and their biological applications. MATERIALS HORIZONS 2022; 9:2288-2324. [PMID: 35770972 DOI: 10.1039/d2mh00263a] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Metal oxides modified with dopants and defects are an emerging class of novel materials supporting the localized surface plasmon resonance across a wide range of optical wavelengths, which have attracted tremendous research interest particularly in biological applications in the past decade. Compared to conventional noble metal-based plasmonic materials, plasmonic metal oxides are particularly favored for their cost efficiency, flexible plasmonic properties, and improved biocompatibility, which can be important to accelerate their practical implementation. In this review, we first explicate the origin of plasmonics in dopant/defect-enabled metal oxides and their associated tunable localized surface plasmon resonance through the conventional Mie-Gans model. The research progress of dopant incorporation and defect generation in metal oxide hosts, including both in situ and ex situ approaches, is critically discussed. The implementation of plasmonic metal oxides in biological applications in terms of therapy, imaging, and sensing is summarized, in which the uniqueness of dopant/defect-driven plasmonics for inducing novel functionalities is particularly emphasized. This review may provide insightful guidance for developing next-generation plasmonic devices for human health monitoring, diagnosis and therapy.
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Affiliation(s)
- Yihong Hu
- School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
| | - Bao Yue Zhang
- School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
- School of Physics and Astronomy, Monash University, Clayton, Victoria 3800, Australia
| | - Farjana Haque
- School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
| | - Guanghui Ren
- School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
| | - Jian Zhen Ou
- School of Engineering, RMIT University, Melbourne, Victoria, 3000, Australia.
- School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, China
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Zhou W, He J, Li Y, Sun Z, Chen J, Wang L, Hui H, Chen X. Multi-focus image fusion with enhancement filtering for robust vascular quantification using photoacoustic microscopy. OPTICS LETTERS 2022; 47:3732-3735. [PMID: 35913301 DOI: 10.1364/ol.459629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/01/2022] [Indexed: 05/18/2023]
Abstract
Accurate identification and quantification of microvascular patterns are important for clinical diagnosis and therapeutic monitoring using optical-resolution photoacoustic microscopy (OR-PAM). Due to its limited depth of field, conventional OR-PAM may not fully reveal microvascular patterns with enough details in depth range, which affects the segmentation and quantification. Here, we propose a robust vascular quantification approach via combining multi-focus image fusion with enhancement filtering (MIFEF). The multi-focus image fusion is constructed based on multi-scale gradients and image matting to improve image fusion quality by considerably achieving accurate focus measurement for initial segmentation as well as decision map refinement. The enhancement filtering identifies the vessels and handles noise without deforming microvasculature. The performance of the MIFEF were evaluated employing a leaf phantom, mouse livers and brains. The proposed method for OR-PAM can significantly facilitate the clinical provision of optical biopsy of vascular-related diseases.
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38
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Frequency wavelength multiplexed optoacoustic tomography. Nat Commun 2022; 13:4448. [PMID: 35915111 PMCID: PMC9343396 DOI: 10.1038/s41467-022-32175-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 07/20/2022] [Indexed: 11/11/2022] Open
Abstract
Optoacoustics (OA) is overwhelmingly implemented in the Time Domain (TD) to achieve high signal-to-noise ratios by maximizing the excitation light energy transient. Implementations in the Frequency Domain (FD) have been proposed, but suffer from low signal-to-noise ratios and have not offered competitive advantages over time domain methods to reach high dissemination. It is therefore commonly believed that TD is the optimal way to perform optoacoustics. Here we introduce an optoacoustic concept based on pulse train illumination and frequency domain multiplexing and theoretically demonstrate the superior merits of the approach compared to the time domain. Then, using recent advances in laser diode illumination, we launch Frequency Wavelength Multiplexing Optoacoustic Tomography (FWMOT), at multiple wavelengths, and experimentally showcase how FWMOT optimizes the signal-to-noise ratios of spectral measurements over time-domain methods in phantoms and in vivo. We further find that FWMOT offers the fastest multi-spectral operation ever demonstrated in optoacoustics. Optoacoustic imaging is mostly performed in the time domain. Here the authors demonstrate frequency wavelength multiplexed optoacoustic tomography that can operate at multiple wavelengths simultaneously and offers signal-to-noise ratio advantages over time domain methods.
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39
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Hui X, Malik MOA, Pramanik M. Looking deep inside tissue with photoacoustic molecular probes: a review. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:070901. [PMID: 36451698 PMCID: PMC9307281 DOI: 10.1117/1.jbo.27.7.070901] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/01/2022] [Indexed: 05/19/2023]
Abstract
Significance Deep tissue noninvasive high-resolution imaging with light is challenging due to the high degree of light absorption and scattering in biological tissue. Photoacoustic imaging (PAI) can overcome some of the challenges of pure optical or ultrasound imaging to provide high-resolution deep tissue imaging. However, label-free PAI signals from light absorbing chromophores within the tissue are nonspecific. The use of exogeneous contrast agents (probes) not only enhances the imaging contrast (and imaging depth) but also increases the specificity of PAI by binding only to targeted molecules and often providing signals distinct from the background. Aim We aim to review the current development and future progression of photoacoustic molecular probes/contrast agents. Approach First, PAI and the need for using contrast agents are briefly introduced. Then, the recent development of contrast agents in terms of materials used to construct them is discussed. Then, various probes are discussed based on targeting mechanisms, in vivo molecular imaging applications, multimodal uses, and use in theranostic applications. Results Material combinations are being used to develop highly specific contrast agents. In addition to passive accumulation, probes utilizing activation mechanisms show promise for greater controllability. Several probes also enable concurrent multimodal use with fluorescence, ultrasound, Raman, magnetic resonance imaging, and computed tomography. Finally, targeted probes are also shown to aid localized and molecularly specific photo-induced therapy. Conclusions The development of contrast agents provides a promising prospect for increased contrast, higher imaging depth, and molecularly specific information. Of note are agents that allow for controlled activation, explore other optical windows, and enable multimodal use to overcome some of the shortcomings of label-free PAI.
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Affiliation(s)
- Xie Hui
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
| | - Mohammad O. A. Malik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
| | - Manojit Pramanik
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore
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40
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Luo X, Wang D, Wang B, Shan H, Xie Y, Sun X, Fei C, Chen Z. Broadband High-Frequency Ultrasonic Transducer Based Functional Photoacoustic Mesoscopy for Psoriasis Progression. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2022; 69:1926-1931. [PMID: 34928795 DOI: 10.1109/tuffc.2021.3136870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In vivo imaging of skin is commonly used to investigate dynamic processes in the progression and treatment of psoriasis. Photoacoustic mesoscopy is a new non-invasive imaging modality widely used in bio-imaging, and has recently been applied to imaging skin in vivo. However, photoacoustic imaging has shortcomings. Although high-frequency ultrasonic transducers enable high-resolution photoacoustic imaging, the images may be bandwidth-limited. To overcome this limitation, we designed and fabricated a broadband ultrasonic transducer for photoacoustic mesoscopy. The center frequency of the transducer was 32 MHz (88% bandwidth at -6 dB). The transducer was used to visualize mouse and human skin morphology. Colocalization of high- and low-frequency components revealed information about both the skin surface and dermis. To explore dynamic structural changes in mouse back skin during psoriasis progression, we measured blood oxygen saturation and total hemoglobin in a mouse model using multiwavelength imaging without contrast agents. The results indicate that functional photoacoustic mesoscopy using a broadband high-frequency transducer has great potential for clinical imaging of skin disease.
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41
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Kim M, Lee KW, Kim K, Gulenko O, Lee C, Keum B, Chun HJ, Choi HS, Kim CU, Yang JM. Intra-instrument channel workable, optical-resolution photoacoustic and ultrasonic mini-probe system for gastrointestinal endoscopy. PHOTOACOUSTICS 2022; 26:100346. [PMID: 35313458 PMCID: PMC8933520 DOI: 10.1016/j.pacs.2022.100346] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 03/08/2022] [Indexed: 05/04/2023]
Abstract
There has been a long-standing expectation that the optical-resolution embodiment of photoacoustic tomography could have a substantial impact on gastrointestinal endoscopy by enabling microscopic visualization of the vasculature based on the endogenous contrast mechanism. Although multiple studies have demonstrated the in vivo imaging capability of a developed imaging device over the last decade, the implementation of such an endoscopic system that can be applied immediately when necessary via the instrument channel of a video endoscope has been a challenge. In this study, we developed a 3.38-mm diameter catheter-based, integrated optical-resolution photoacoustic and ultrasonic mini-probe system and successfully demonstrated its intra-instrument channel workability for the standard 3.7-mm diameter instrument channel of a clinical video endoscope based on a swine model. Through the instrument channel, we acquired the first in vivo dual-mode photoacoustic and ultrasonic endoscopic images from the esophagogastric junction of a swine. Further, in a rat colorectum in vivo imaging experiment, we visualized hierarchically developed mesh-like capillary networks with a hole size as small as ~50 µm, which suggests the potential level of image details that could be photoacoustically provided in clinical settings in the future.
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Affiliation(s)
- Minjae Kim
- Center for Photoacoustic Medical Instruments, Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
| | - Kang Won Lee
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea
| | - KiSik Kim
- Center for Photoacoustic Medical Instruments, Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
| | - Oleksandra Gulenko
- Center for Photoacoustic Medical Instruments, Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
| | - Cheol Lee
- Department of Physics, UNIST, Ulsan 44919, South Korea
| | - Bora Keum
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea
| | - Hoon Jai Chun
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea
| | - Hyuk Soon Choi
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, South Korea
| | - Chae Un Kim
- Department of Physics, UNIST, Ulsan 44919, South Korea
| | - Joon-Mo Yang
- Center for Photoacoustic Medical Instruments, Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
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42
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Fast raster-scan optoacoustic mesoscopy enables assessment of human melanoma microvasculature in vivo. Nat Commun 2022; 13:2803. [PMID: 35589757 PMCID: PMC9120110 DOI: 10.1038/s41467-022-30471-9] [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: 06/22/2021] [Accepted: 05/03/2022] [Indexed: 12/23/2022] Open
Abstract
Melanoma is associated with angiogenesis and vascular changes that may extend through the entire skin depth. Three-dimensional imaging of vascular characteristics in skin lesions could therefore allow diagnostic insights not available by conventional visual inspection. Raster-scan optoacoustic mesoscopy (RSOM) images microvasculature through the entire skin depth with resolutions of tens of micrometers; however, current RSOM implementations are too slow to overcome the strong breathing motions on the upper torso where melanoma lesions commonly occur. To enable high-resolution imaging of melanoma vasculature in humans, we accelerate RSOM scanning using an illumination scheme that is coaxial with a high-sensitivity ultrasound detector path, yielding 15 s single-breath-hold scans that minimize motion artifacts. We apply this Fast RSOM to image 10 melanomas and 10 benign nevi in vivo, showing marked differences between malignant and benign lesions, supporting the possibility to use biomarkers extracted from RSOM imaging of vasculature for lesion characterization to improve diagnostics. Raster-Scanning-Optoacoustic Mesoscopy can be used to image the vasculature in skin cancer lesions but is limited by a long exposure time. Here; the authors increase the speed of the imaging using co-axial illumination and a high-sensitivity ultrasound detector path.
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43
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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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44
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Ma H, Wang Z, Zuo C, Huang Q. Three dimensional confocal photoacoustic dermoscopy with an autofocusing sono-opto probe. JOURNAL OF BIOPHOTONICS 2022; 15:e202100323. [PMID: 34989131 DOI: 10.1002/jbio.202100323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/01/2022] [Accepted: 01/02/2022] [Indexed: 06/14/2023]
Abstract
Photoacoustic dermoscopy (PAD) is uniquely positioned for the diagnosis and assessment of dermatological conditions because of its ability to visualize optical absorption contrast in vivo in three dimensions. In this Letter, we developed a 3D confocal PAD (3D-CPAD) equipped with an autofocusing sono-opto probe to facilitate the reconstruction of high-spatial-resolution imaging of skin with multilaminate structures in depth direction. The autofocusing sono-opto probe integrated a 10-mm electrowetting-based varifocal lens to automatically control the acoustic and optical confocal length, and an annular ultrasonic detector with a mid-frequency of ~32.8 MHz is coaxially configured for receiving photoacoustic signals. Using this sono-opto probe, the acoustic and optical confocal length-shifting range from ~7 to 43 mm with high image contrast and spatial resolution in the 3D image reconstruction. Autofocusing property tests and 3D human skin in vivo imaging were carried out to demonstrate the imaging capability of the 3D-CPAD for potential clinical foreground in noninvasive biopsies of skin disease.
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Affiliation(s)
- Haigang Ma
- Smart Computational Imaging (SCI) Laboratory, Nanjing University of Science and Technology, Nanjing, China
- Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen, China
| | - Zhiyang Wang
- MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Chao Zuo
- Smart Computational Imaging (SCI) Laboratory, Nanjing University of Science and Technology, Nanjing, China
| | - Qinghua Huang
- School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, China
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45
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Park B, Park S, Kim J, Kim C. Listening to drug delivery and responses via photoacoustic imaging. Adv Drug Deliv Rev 2022; 184:114235. [PMID: 35346776 DOI: 10.1016/j.addr.2022.114235] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 03/18/2022] [Accepted: 03/22/2022] [Indexed: 12/20/2022]
Abstract
Administrating pharmaceutic agents efficiently to achieve the therapeutic effect is the aim of all drug delivery techniques. Recent drug delivery systems aim to deliver high doses of drugs to disease sites accurately while maximizing therapeutic effects and minimizing potential side effects. Key approaches apply image guidance techniques for the quantification of drug biodistribution and pharmacokinetic parameters during drug delivery. This review highlights recent research on image-guided drug delivery systems based on photoacoustic imaging, which has been attracting attention for its non-invasiveness, non-ionizing radiation, and real-time imaging functions. Photoacoustic imaging based on the photothermal conversion efficiency of agents can be easily combined with various phototherapeutics, making them highly suitable for drug delivery therapy platforms. Here, we summarize and compare the characteristics of various types of photoacoustic imaging systems, focus on contrast-enhanced photoacoustic imaging and controlled release of therapeutics in drug delivery systems for synergistic therapies.
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Affiliation(s)
- Byullee Park
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering and Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea
| | - Sinyoung Park
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering and Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea
| | - Jeesu Kim
- Department of Optics and Mechatronics Engineering, Department of Cogno-Mechatronics Engineering, College of Nanoscience & Nanotechnology, Pusan National University, Busan, Republic of Korea.
| | - Chulhong Kim
- Departments of Convergence IT Engineering, Mechanical Engineering, and Electrical Engineering and Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.
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46
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Andreou C, Weissleder R, Kircher MF. Multiplexed imaging in oncology. Nat Biomed Eng 2022; 6:527-540. [PMID: 35624151 DOI: 10.1038/s41551-022-00891-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/06/2021] [Indexed: 01/24/2023]
Abstract
In oncology, technologies for clinical molecular imaging are used to diagnose patients, establish the efficacy of treatments and monitor the recurrence of disease. Multiplexed methods increase the number of disease-specific biomarkers that can be detected simultaneously, such as the overexpression of oncogenic proteins, aberrant metabolite uptake and anomalous blood perfusion. The quantitative localization of each biomarker could considerably increase the specificity and the accuracy of technologies for clinical molecular imaging to facilitate granular diagnoses, patient stratification and earlier assessments of the responses to administered therapeutics. In this Review, we discuss established techniques for multiplexed imaging and the most promising emerging multiplexing technologies applied to the imaging of isolated tissues and cells and to non-invasive whole-body imaging. We also highlight advances in radiology that have been made possible by multiplexed imaging.
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Affiliation(s)
- Chrysafis Andreou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Molecular Imaging and Nanotechnology (CMINT), Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
| | - Moritz F Kircher
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA.,Department of Imaging, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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47
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Wang Z, Yang F, Zhang W, Yang S. Quantitative and Anatomical Imaging of Human Skin by Noninvasive Photoacoustic Dermoscopy. Bio Protoc 2022; 12:e4372. [PMID: 35530523 PMCID: PMC9018441 DOI: 10.21769/bioprotoc.4372] [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: 02/21/2022] [Revised: 11/22/2021] [Accepted: 02/22/2022] [Indexed: 12/29/2022] Open
Abstract
Imaging plays a vital role in the diagnosis and treatment of skin diseases. However, pure optical imaging technique is limited to the visualization of superficial skin tissues. Ultrasonic imaging technique can detect deep tissues, but it lacks detailed information on microscopic pathological structures. Photoacoustic imaging is an advanced technology that bridges the spatial-resolution gap between optical and ultrasonic techniques, by the modes of optical excitation and acoustic detection. Photoacoustic dermoscopy (PAD), based on photoacoustic technology, can noninvasively obtain high-resolution anatomical structures by endogenous absorbers, such as melanin, hemoglobin, lipids, etc. In the past years, PAD has gradually been developed in clinical dermatology for the diagnosis of melanoma, psoriasis, port-wine stains, dermatitis, skin grafting, and testing the efficacy of cosmetics. This protocol provides detailed procedures for PAD construction, including component selection, equipment setup, and system calibration. A step-by-step guide for human skin imaging is provided as an example application. Image reconstruction and troubleshooting procedures are also elaborated. PAD offers the 3D volumetric images of human skin, and quantitatively analyzes the vascular morphology in the dermis. The protocol will provide clinicians with standardized and reasonable guidance in dermatological imaging.
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Affiliation(s)
- Zhiyang Wang
- MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China,Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Fei Yang
- MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China,Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Wuyu Zhang
- MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China,Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China,Guangdong Photoacoustic Medical Technology Co., Ltd., Guangzhou, China
| | - Sihua Yang
- MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China,Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China,*For correspondence:
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48
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Lin L, Wang LV. The emerging role of photoacoustic imaging in clinical oncology. Nat Rev Clin Oncol 2022; 19:365-384. [PMID: 35322236 DOI: 10.1038/s41571-022-00615-3] [Citation(s) in RCA: 101] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2022] [Indexed: 12/13/2022]
Abstract
Clinical oncology can benefit substantially from imaging technologies that reveal physiological characteristics with multiscale observations. Complementing conventional imaging modalities, photoacoustic imaging (PAI) offers rapid imaging (for example, cross-sectional imaging in real time or whole-breast scanning in 10-15 s), scalably high levels of spatial resolution, safe operation and adaptable configurations. Most importantly, this novel imaging modality provides informative optical contrast that reveals details on anatomical, functional, molecular and histological features. In this Review, we describe the current state of development of PAI and the emerging roles of this technology in cancer screening, diagnosis and therapy. We comment on the performance of cutting-edge photoacoustic platforms, and discuss their clinical applications and utility in various clinical studies. Notably, the clinical translation of PAI is accelerating in the areas of macroscopic and mesoscopic imaging for patients with breast or skin cancers, as well as in microscopic imaging for histopathology. We also highlight the potential of future developments in technological capabilities and their clinical implications, which we anticipate will lead to PAI becoming a desirable and widely used imaging modality in oncological research and practice.
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Affiliation(s)
- Li Lin
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Lihong V Wang
- Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA. .,Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
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49
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Lefebvre TL, Brown E, Hacker L, Else T, Oraiopoulou ME, Tomaszewski MR, Jena R, Bohndiek SE. The Potential of Photoacoustic Imaging in Radiation Oncology. Front Oncol 2022; 12:803777. [PMID: 35311156 PMCID: PMC8928467 DOI: 10.3389/fonc.2022.803777] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/07/2022] [Indexed: 12/16/2022] Open
Abstract
Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is essential in both curative and palliative settings. Ionizing radiation is frequently combined with surgery, either preoperatively or postoperatively, and with systemic chemotherapy. Recent advances in imaging have enabled precise targeting of solid lesions yet substantial intratumoral heterogeneity means that treatment planning and monitoring remains a clinical challenge as therapy response can take weeks to manifest on conventional imaging and early indications of progression can be misleading. Photoacoustic imaging (PAI) is an emerging modality for molecular imaging of cancer, enabling non-invasive assessment of endogenous tissue chromophores with optical contrast at unprecedented spatio-temporal resolution. Preclinical studies in mouse models have shown that PAI could be used to assess response to radiotherapy and chemoradiotherapy based on changes in the tumor vascular architecture and blood oxygen saturation, which are closely linked to tumor hypoxia. Given the strong relationship between hypoxia and radio-resistance, PAI assessment of the tumor microenvironment has the potential to be applied longitudinally during radiotherapy to detect resistance at much earlier time-points than currently achieved by size measurements and tailor treatments based on tumor oxygen availability and vascular heterogeneity. Here, we review the current state-of-the-art in PAI in the context of radiotherapy research. Based on these studies, we identify promising applications of PAI in radiation oncology and discuss the future potential and outstanding challenges in the development of translational PAI biomarkers of early response to radiotherapy.
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Affiliation(s)
- Thierry L. Lefebvre
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Emma Brown
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Lina Hacker
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Else
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Mariam-Eleni Oraiopoulou
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Michal R. Tomaszewski
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States
| | - Rajesh Jena
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Sarah E. Bohndiek
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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Ali Z, Zakian C, Li Q, Gloriod J, Crozat S, Bouvet F, Pierre G, Sarantos V, Di Pietro M, Flisikowski K, Andersen P, Drexler W, Ntziachristos V. 360 º optoacoustic capsule endoscopy at 50 Hz for esophageal imaging. PHOTOACOUSTICS 2022; 25:100333. [PMID: 35242538 PMCID: PMC8864533 DOI: 10.1016/j.pacs.2022.100333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/10/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Gastrointestinal (GI) endoscopy is a common medical diagnostic procedure used for esophageal cancer detection. Current emerging capsule optoacoustic endoscopes, however, suffer from low pulse repetition rates and slow scanning units limit attainable imaging frame rates. Consequently, motion artifacts result in inaccurate spatial mapping and misinterpretation of data. To overcome these limitations, we report a 360º, 50 Hz frame rate, distal scanning capsule optoacoustic endoscope. The translational capability of the instrument for human GI tract imaging was characterized with an Archimedean spiral phantom consisting of twelve 100 µm sutures, a stainless steel mesh with a pitch of 3 mm and an ex vivo pig esophagus sample. We estimated an imaging penetration depth of ~0.84 mm in vivo by immersing the mesh phantom in intralipid solution to simulate light scattering in human esophageal tissue and validated our findings ex vivo using pig esophagus. This proof-of-concept study demonstrates the translational potential of the proposed video-rate endoscope for human GI tract imaging.
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Affiliation(s)
- Zakiullah Ali
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christian Zakian
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Qian Li
- Center of Medical Physics and Biomedical Engineering, Medical university of Vienna, Vienna, Austria
| | | | | | | | | | | | | | - Krzysztof Flisikowski
- Chair of Livestock Biotechnology, School of Life Science, Technical University of Munich, Freising, Germany
| | - Peter Andersen
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Wolfgang Drexler
- Center of Medical Physics and Biomedical Engineering, Medical university of Vienna, Vienna, Austria
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
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