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Fakhoury JW, Lara JB, Manwar R, Zafar M, Xu Q, Engel R, Tsoukas MM, Daveluy S, Mehregan D, Avanaki K. Photoacoustic imaging for cutaneous melanoma assessment: a comprehensive review. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S11518. [PMID: 38223680 PMCID: PMC10785699 DOI: 10.1117/1.jbo.29.s1.s11518] [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: 10/01/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 01/16/2024]
Abstract
Significance Cutaneous melanoma (CM) has a high morbidity and mortality rate, but it can be cured if the primary lesion is detected and treated at an early stage. Imaging techniques such as photoacoustic (PA) imaging (PAI) have been studied and implemented to aid in the detection and diagnosis of CM. Aim Provide an overview of different PAI systems and applications for the study of CM, including the determination of tumor depth/thickness, cancer-related angiogenesis, metastases to lymph nodes, circulating tumor cells (CTCs), virtual histology, and studies using exogenous contrast agents. Approach A systematic review and classification of different PAI configurations was conducted based on their specific applications for melanoma detection. This review encompasses animal and preclinical studies, offering insights into the future potential of PAI in melanoma diagnosis in the clinic. Results PAI holds great clinical potential as a noninvasive technique for melanoma detection and disease management. PA microscopy has predominantly been used to image and study angiogenesis surrounding tumors and provide information on tumor characteristics. Additionally, PA tomography, with its increased penetration depth, has demonstrated its ability to assess melanoma thickness. Both modalities have shown promise in detecting metastases to lymph nodes and CTCs, and an all-optical implementation has been developed to perform virtual histology analyses. Animal and human studies have successfully shown the capability of PAI to detect, visualize, classify, and stage CM. Conclusions PAI is a promising technique for assessing the status of the skin without a surgical procedure. The capability of the modality to image microvasculature, visualize tumor boundaries, detect metastases in lymph nodes, perform fast and label-free histology, and identify CTCs could aid in the early diagnosis and classification of CM, including determination of metastatic status. In addition, it could be useful for monitoring treatment efficacy noninvasively.
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Affiliation(s)
- Joseph W. Fakhoury
- Wayne State University School of Medicine, Detroit, Michigan, United States
| | - Juliana Benavides Lara
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Rayyan Manwar
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Mohsin Zafar
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
| | - Qiuyun Xu
- Wayne State University, Department of Biomedical Engineering, Detroit, Michigan, United States
| | - Ricardo Engel
- Wayne State University School of Medicine, Detroit, Michigan, United States
| | - Maria M. Tsoukas
- University of Illinois at Chicago, Department of Dermatology, Chicago, Illinois, United States
| | - Steven Daveluy
- Wayne State University School of Medicine, Department of Dermatology, Detroit, Michigan, United States
| | - Darius Mehregan
- Wayne State University School of Medicine, Department of Dermatology, Detroit, Michigan, United States
| | - Kamran Avanaki
- University of Illinois at Chicago, Richard and Loan Hill Department of Bioengineering, Chicago, Illinois, United States
- University of Illinois at Chicago, Department of Dermatology, Chicago, Illinois, United States
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Kim W, Choi W, Ahn J, Lee C, Kim C. Wide-field three-dimensional photoacoustic/ultrasound scanner using a two-dimensional matrix transducer array. OPTICS LETTERS 2023; 48:343-346. [PMID: 36638453 DOI: 10.1364/ol.475725] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Two-dimensional matrix transducer arrays are the most appropriate imaging probes for acquiring dual-modal 3D photoacoustic (PA)/ultrasound (US) images. However, they have small footprints which limit the field-of-view (FOV) to less than 10 mm × 10 mm and degrade the spatial resolution. In this study, we demonstrate a dual-modal PA and US imaging system (using a 2D matrix transducer array and a motorized 2D scanning system) to enlarge the FOV of volumetric images. Multiple PA volumes were merged to form a wide-field image of approximately 45 mm × 45 mm. In vivo imaging was demonstrated using rat sentinel lymph nodes (SLNs) and bladders stained with methylene blue. We believe that this volumetric PA/US imaging technique with a 2D matrix transducer array can be a useful tool for narrow-field real-time monitoring and wide-field imaging of various preclinical and clinical studies.
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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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Yoon C, Lee C, Shin K, Kim C. Motion Compensation for 3D Multispectral Handheld Photoacoustic Imaging. BIOSENSORS 2022; 12:1092. [PMID: 36551059 PMCID: PMC9775698 DOI: 10.3390/bios12121092] [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: 11/04/2022] [Revised: 11/26/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Three-dimensional (3D) handheld photoacoustic (PA) and ultrasound (US) imaging performed using mechanical scanning are more useful than conventional 2D PA/US imaging for obtaining local volumetric information and reducing operator dependence. In particular, 3D multispectral PA imaging can capture vital functional information, such as hemoglobin concentrations and hemoglobin oxygen saturation (sO2), of epidermal, hemorrhagic, ischemic, and cancerous diseases. However, the accuracy of PA morphology and physiological parameters is hampered by motion artifacts during image acquisition. The aim of this paper is to apply appropriate correction to remove the effect of such motion artifacts. We propose a new motion compensation method that corrects PA images in both axial and lateral directions based on structural US information. 3D PA/US imaging experiments are performed on a tissue-mimicking phantom and a human wrist to verify the effects of the proposed motion compensation mechanism and the consequent spectral unmixing results. The structural motions and sO2 values are confirmed to be successfully corrected by comparing the motion-compensated images with the original images. The proposed method is expected to be useful in various clinical PA imaging applications (e.g., breast cancer, thyroid cancer, and carotid artery disease) that are susceptible to motion contamination during multispectral PA image analysis.
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Affiliation(s)
- Chiho Yoon
- Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Changyeop Lee
- Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | | | - Chulhong Kim
- Departments of Electrical Engineering, Convergence IT Engineering, and Mechanical Engineering, Medical Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
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Qu Z, Liu C, Zhu J, Zhang Y, Zhou Y, Wang L. Two-step proximal gradient descent algorithm for photoacoustic signal unmixing. PHOTOACOUSTICS 2022; 27:100379. [PMID: 35722270 PMCID: PMC9198964 DOI: 10.1016/j.pacs.2022.100379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/22/2022] [Accepted: 06/07/2022] [Indexed: 05/02/2023]
Abstract
Photoacoustic microscopy uses multiple wavelengths to measure concentrations of different absorbers. The speed of sound limits the shortest wavelength switching time to sub-microseconds, which is a bottleneck for high-speed broad-spectrum imaging. Via computational separation of overlapped signals, we can break the sound-speed limit on the wavelength switching time. This paper presents a new signal unmixing algorithm named two-step proximal gradient descent. It is advantageous in separating multiple wavelengths with long overlapping and high noise. In the simulation, we can unmix up to nine overlapped signals and successfully separate three overlapped signals with 12-ns delay and 15.9-dB signal-to-noise ratio. We apply this technique to separate three-wavelength photoacoustic images in microvessels. In vivo results show that the algorithm can successfully unmix overlapped multi-wavelength photoacoustic signals, and the unmixed data can improve accuracy in oxygen saturation imaging.
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Affiliation(s)
- Zheng Qu
- City University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China
| | - Chao Liu
- City University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China
| | - Jingyi Zhu
- City University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China
| | - Yachao Zhang
- City University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China
| | - Yingying Zhou
- City University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China
| | - Lidai Wang
- City University of Hong Kong, Department of Biomedical Engineering, Kowloon, Hong Kong, China
- City University of Hong Kong Shenzhen Research Institute, Yuexing Yi Dao, Shenzhen, Guang Dong 518057, China
- Corresponding author at: City University of Hong Kong, Department of Biomedical Engineering, Kowloon, .Hong Kong, China
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Pan Y, Jia K, Yan S, Jiang X. Effectiveness of VISIA system in evaluating the severity of rosacea. Skin Res Technol 2022; 28:740-748. [PMID: 35818722 PMCID: PMC9907647 DOI: 10.1111/srt.13194] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/19/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND Rosacea is a facial chronic inflammatory skin disease with almost 5.5% prevalence. Although there are various scales of rosacea, they are objective and discordant among different dermatologists. Noninvasive objective measurements such as VISIA system might play essential roles in the diagnosis and evaluation of rosacea. Here, we intended to reveal the effectiveness of VISIA system in rosacea. MATERIALS AND METHODS A number of 563 participants diagnosed with facial rosacea were enrolled in study. They all received both full-face image-shoot by VISIA system with quantitative analysis software and physician's assessment via five different scales, including investigator global assessment (IGA), clinician erythema assessment (CEA), numerical score, the National Rosacea Society (NRS) grading system and telangiectasis. RESULTS Absolute score and percentile of red area had significant correlations with IGA and CEA, whereas red area had no significant correlation with numerical score, NRS and telangiectasis. Red area in erythematotelangiectatic rosacea patients demonstrated the highest correlation with IGA and CEA, especially in those aged between 51 and 60. Besides red area, pigmentation parameters in VISIA system (brown spot) also showed significant correlation with IGA and CEA. CONCLUSION VISIA system might be an effective measurement in the assessment of rosacea severity.
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Affiliation(s)
- Yu Pan
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Kaiyu Jia
- Laboratory of Dermatology, Clinical Institute of Inflammation and Immunology, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Sihan Yan
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Xian Jiang
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
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Mantri Y, Tsujimoto J, Donovan B, Fernandes CC, Garimella PS, Penny WF, Anderson CA, Jokerst JV. Photoacoustic monitoring of angiogenesis predicts response to therapy in healing wounds. Wound Repair Regen 2022; 30:258-267. [PMID: 34985822 PMCID: PMC8897271 DOI: 10.1111/wrr.12992] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/03/2021] [Accepted: 12/24/2021] [Indexed: 12/13/2022]
Abstract
Chronic wounds are a major health problem that cause the medical infrastructure billions of dollars every year. Chronic wounds are often difficult to heal and cause significant discomfort. Although wound specialists have numerous therapeutic modalities at their disposal, tools that could three dimensional-map wound bed physiology and guide therapy do not exist. Visual cues are the current standard but are limited to surface assessment; clinicians rely on experience to predict response to therapy. Photoacoustic (PA) ultrasound (US) is a non-invasive, hybrid imaging modality that can solve these major limitations. PA relies on the contrast generated by haemoglobin in blood which allows it to map local angiogenesis, tissue perfusion and oxygen saturation-all critical parameters for wound healing. This work evaluates the use of PA-US to monitor angiogenesis and stratify patients responding versus not-responding to therapy. We imaged 19 patients with 22 wounds once a week for at least 3 weeks. Our findings suggest that PA imaging directly visualises angiogenesis. Patients responding to therapy showed clear signs of angiogenesis and an increased rate of PA increase (p = 0.002). These responders had a significant and negative correlation between PA intensity and wound size. Hypertension was correlated to impaired angiogenesis in non-responsive patients. The rate of PA increase and hence the rate of angiogenesis was able to predict healing times within 30 days from the start of monitoring (power = 88%, alpha = 0.05). This early response detection system could help inform management and treatment strategies while improving outcomes and reducing costs.
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Affiliation(s)
- Yash Mantri
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jason Tsujimoto
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Brian Donovan
- Department of Chemical Engineering, University of California San Diego, La Jolla, CA, USA
| | | | - Pranav S. Garimella
- Division of Nephrology – Hypertension, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - William F. Penny
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Caesar A. Anderson
- Department of Emergency Medicine, Hyperbaric and Wound Healing Center, University of California San Diego, Encinitas, CA, USA
| | - Jesse V. Jokerst
- Department of Nanoengineering, University of California San Diego, La Jolla, CA, USA.,Materials Science Program, University of California San Diego, La Jolla, CA, USA.,Department of Radiology, University of California San Diego, La Jolla, CA, USA
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Schmidt VF, Masthoff M, Czihal M, Cucuruz B, Häberle B, Brill R, Wohlgemuth WA, Wildgruber M. Imaging of peripheral vascular malformations - current concepts and future perspectives. Mol Cell Pediatr 2021; 8:19. [PMID: 34874510 PMCID: PMC8651875 DOI: 10.1186/s40348-021-00132-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/25/2021] [Indexed: 12/17/2022] Open
Abstract
Vascular Malformations belong to the spectrum of orphan diseases and can involve all segments of the vascular tree: arteries, capillaries, and veins, and similarly the lymphatic vasculature. The classification according to the International Society for the Study of Vascular Anomalies (ISSVA) is of major importance to guide proper treatment. Imaging plays a crucial role to classify vascular malformations according to their dominant vessel type, anatomical extension, and flow pattern. Several imaging concepts including color-coded Duplex ultrasound/contrast-enhanced ultrasound (CDUS/CEUS), 4D computed tomography angiography (CTA), magnetic resonance imaging (MRI) including dynamic contrast-enhanced MR-angiography (DCE-MRA), and conventional arterial and venous angiography are established in the current clinical routine. Besides the very heterogenous phenotypes of vascular malformations, molecular and genetic profiling has recently offered an advanced understanding of the pathogenesis and progression of these lesions. As distinct molecular subtypes may be suitable for targeted therapies, capturing certain patterns by means of molecular imaging could enhance non-invasive diagnostics of vascular malformations. This review provides an overview of subtype-specific imaging and established imaging modalities, as well as future perspectives of novel functional and molecular imaging approaches. We highlight recent pioneering imaging studies including thermography, positron emission tomography (PET), and multispectral optoacoustic tomography (MSOT), which have successfully targeted specific biomarkers of vascular malformations.
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Affiliation(s)
- Vanessa F Schmidt
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Max Masthoff
- Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | - Michael Czihal
- Angiology Division, Department for Medicine IV, University Hospital, LMU Munich, Munich, Germany
| | - Beatrix Cucuruz
- Clinic and Policlinic of Radiology, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Beate Häberle
- Department for Pediatric Surgery, Dr. von Haunersches Kinderspital, University Hospital, LMU Munich, Munich, Germany
| | - Richard Brill
- Clinic and Policlinic of Radiology, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Walter A Wohlgemuth
- Clinic and Policlinic of Radiology, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany. .,Clinic for Radiology, University Hospital Muenster, Muenster, Germany.
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