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Varga NN, Boostani M, Farkas K, Bánvölgyi A, Lőrincz K, Posta M, Lihacova I, Lihachev A, Medvecz M, Holló P, Paragh G, Wikonkál NM, Bozsányi S, Kiss N. Optically Guided High-Frequency Ultrasound Shows Superior Efficacy for Preoperative Estimation of Breslow Thickness in Comparison with Multispectral Imaging: A Single-Center Prospective Validation Study. Cancers (Basel) 2023; 16:157. [PMID: 38201584 PMCID: PMC10778011 DOI: 10.3390/cancers16010157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Melanoma is the most aggressive form of skin cancer that is known for its metastatic potential and has an increasing incidence worldwide. Breslow thickness, which determines the staging and surgical margin of the tumor, is unavailable at initial diagnosis. Novel imaging techniques for assessing Breslow thickness lack comparative data. This study evaluates optically guided high-frequency ultrasound (OG-HFUS) and multispectral imaging (MSI) for preoperative estimation of Breslow thickness and staging. We enrolled 101 patients with histologically confirmed primary melanoma and categorized them based on tumor thickness. Optically guided 33 MHz HFUS and MSI were utilized for the assessment. Our MSI-based algorithm categorized melanomas into three subgroups with a sensitivity of 62.6%, specificity of 81.3%, and fair agreement (κ = 0.440, CI: 0.298-0.583). In contrast, OG-HFUS demonstrated a sensitivity of 91.8%, specificity of 96.0%, and almost perfect agreement (κ = 0.858, CI: 0.763-0.952). OG-HFUS performed better than MSI in estimating Breslow thickness, emphasizing its potential as a valuable tool for melanoma diagnosis and patient management. OG-HFUS holds promise for enhancing preoperative staging and treatment decision-making in melanoma.
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Affiliation(s)
- Noémi Nóra Varga
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Mehdi Boostani
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Klára Farkas
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - András Bánvölgyi
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Kende Lőrincz
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Máté Posta
- Systems Biology of Reproduction Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, 1117 Budapest, Hungary;
| | - Ilze Lihacova
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, 1004 Riga, Latvia; (I.L.); (A.L.)
| | - Alexey Lihachev
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, 1004 Riga, Latvia; (I.L.); (A.L.)
| | - Márta Medvecz
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Péter Holló
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Gyorgy Paragh
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA;
| | - Norbert M. Wikonkál
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
| | - Szabolcs Bozsányi
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA;
| | - Norbert Kiss
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (N.N.V.); (M.B.); (K.F.); (A.B.); (K.L.); (M.M.); (P.H.); (N.M.W.); (S.B.)
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Soglia S, Pérez-Anker J, Lobos Guede N, Giavedoni P, Puig S, Malvehy J. Diagnostics Using Non-Invasive Technologies in Dermatological Oncology. Cancers (Basel) 2022; 14:cancers14235886. [PMID: 36497368 PMCID: PMC9738560 DOI: 10.3390/cancers14235886] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 12/02/2022] Open
Abstract
The growing incidence of skin cancer, with its associated mortality and morbidity, has in recent years led to the developing of new non-invasive technologies, which allow an earlier and more accurate diagnosis. Some of these, such as digital photography, 2D and 3D total-body photography and dermoscopy are now widely used and others, such as reflectance confocal microscopy and optical coherence tomography, are limited to a few academic and referral skin cancer centers because of their cost or the long training period required. Health care professionals involved in the treatment of patients with skin cancer need to know the implications and benefits of new non-invasive technologies for dermatological oncology. In this article we review the characteristics and usability of the main diagnostic imaging methods available today.
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Affiliation(s)
- Simone Soglia
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
- Department of Dermatology, University of Brescia, 25121 Brescia, Italy
| | - Javiera Pérez-Anker
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
- Correspondence: ; Tel.: +34-932-275-400
| | - Nelson Lobos Guede
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
| | - Priscila Giavedoni
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
| | - Susana Puig
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
| | - Josep Malvehy
- Melanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain
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Bozsányi S, Varga NN, Farkas K, Bánvölgyi A, Lőrincz K, Lihacova I, Lihachev A, Plorina EV, Bartha Á, Jobbágy A, Kuroli E, Paragh G, Holló P, Medvecz M, Kiss N, Wikonkál NM. Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma. J Clin Med 2021; 11:jcm11010189. [PMID: 35011930 PMCID: PMC8745435 DOI: 10.3390/jcm11010189] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/21/2021] [Accepted: 12/26/2021] [Indexed: 12/20/2022] Open
Abstract
Breslow thickness is a major prognostic factor for melanoma. It is based on histopathological evaluation, and thus it is not available to aid clinical decision making at the time of the initial melanoma diagnosis. In this work, we assessed the efficacy of multispectral imaging (MSI) to predict Breslow thickness and developed a classification algorithm to determine optimal safety margins of the melanoma excision. First, we excluded nevi from the analysis with a novel quantitative parameter. Parameter s’ could differentiate nevi from melanomas with a sensitivity of 89.60% and specificity of 88.11%. Following this step, we have categorized melanomas into three different subgroups based on Breslow thickness (≤1 mm, 1–2 mm and >2 mm) with a sensitivity of 78.00% and specificity of 89.00% and a substantial agreement (κ = 0.67; 95% CI, 0.58–0.76). We compared our results to the performance of dermatologists and dermatology residents who assessed dermoscopic and clinical images of these melanomas, and reached a sensitivity of 60.38% and specificity of 80.86% with a moderate agreement (κ = 0.41; 95% CI, 0.39–0.43). Based on our findings, this novel method may help predict the appropriate safety margins for curative melanoma excision.
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Affiliation(s)
- Szabolcs Bozsányi
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
- Selye János Doctoral College for Advanced Studies, Clinical Sciences Research Group, 1085 Budapest, Hungary
| | - Noémi Nóra Varga
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Klára Farkas
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - András Bánvölgyi
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Kende Lőrincz
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Ilze Lihacova
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, 1004 Riga, Latvia; (I.L.); (A.L.); (E.V.P.)
| | - Alexey Lihachev
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, 1004 Riga, Latvia; (I.L.); (A.L.); (E.V.P.)
| | - Emilija Vija Plorina
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, 1004 Riga, Latvia; (I.L.); (A.L.); (E.V.P.)
| | - Áron Bartha
- Department of Bioinformatics, Semmelweis University, 1085 Budapest, Hungary;
- 2nd Department of Pediatrics, Semmelweis University, 1085 Budapest, Hungary
| | - Antal Jobbágy
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Enikő Kuroli
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
- 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - György Paragh
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA;
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA
| | - Péter Holló
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Márta Medvecz
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Norbert Kiss
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
| | - Norbert M. Wikonkál
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary; (S.B.); (N.N.V.); (K.F.); (A.B.); (K.L.); (A.J.); (E.K.); (P.H.); (M.M.); (N.K.)
- Correspondence:
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Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. SENSORS 2021; 21:s21010252. [PMID: 33401739 PMCID: PMC7795742 DOI: 10.3390/s21010252] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 12/24/2020] [Accepted: 12/26/2020] [Indexed: 02/04/2023]
Abstract
The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma, the most aggressive form of skin cancer, which causes the greatest number of deaths. In the context of increasing incidence and mortality, skin cancer bears a heavy health and economic burden. Nevertheless, the 5-year survival rate for people with skin cancer significantly improves if the disease is detected and treated early. Accordingly, large research efforts have been devoted to achieve early detection and better understanding of the disease, with the aim of reversing the progressive trend of rising incidence and mortality, especially regarding melanoma. This paper reviews a variety of the optical modalities that have been used in the last years in order to improve non-invasive diagnosis of skin cancer, including confocal microscopy, multispectral imaging, three-dimensional topography, optical coherence tomography, polarimetry, self-mixing interferometry, and machine learning algorithms. The basics of each of these technologies together with the most relevant achievements obtained are described, as well as some of the obstacles still to be resolved and milestones to be met.
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Multispectral imaging detects gastritis consistently in mouse model and in humans. Sci Rep 2020; 10:20047. [PMID: 33208839 PMCID: PMC7674504 DOI: 10.1038/s41598-020-77145-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 11/02/2020] [Indexed: 12/19/2022] Open
Abstract
Gastritis constitutes the initial step of the gastric carcinogenesis process. Gastritis diagnosis is based on histological examination of biopsies. Non-invasive real-time methods to detect mucosal inflammation are needed. Tissue optical properties modify reemitted light, i.e. the proportion of light that is emitted by a tissue after stimulation by a light flux. Analysis of light reemitted by gastric tissue could predict the inflammatory state. The aim of our study was to investigate a potential association between reemitted light and gastric tissue inflammation. We used two models and three multispectral analysis methods available on the marketplace. We used a mouse model of Helicobacter pylori infection and included patients undergoing gastric endoscopy. In mice, the reemitted light was measured using a spectrometer and a multispectral camera. We also exposed patient’s gastric mucosa to specific wavelengths and analyzed reemitted light. In both mouse model and humans, modifications of reemitted light were observed around 560 nm, 600 nm and 640 nm, associated with the presence of gastritis lesions. These results pave the way for the development of improved endoscopes in order to detect real-time gastritis without the need of biopsies. This would allow a better prevention of gastric cancer alongside with cost efficient endoscopies.
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Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10207097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thicknesses of epidermis and dermis. The aim of this study is to determine the best methods for stochastic model inversion in order to improve current methods in skin related cancer diagnostics and in the future develop a non-invasive way to measure the physical parameters of the skin based partially on the results of the study. Of the compared methods, which are convolutional neural network, multi-layer perceptron, lasso, stochastic gradient descent, and linear support vector machine regressors, we find the convolutional neural network to be the most accurate in the inversion task.
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Estimation of Biological Parameters of Cutaneous Ulcers Caused by Leishmaniasis in an Animal Model Using Diffuse Reflectance Spectroscopy. SENSORS 2019; 19:s19214674. [PMID: 31661834 PMCID: PMC6864670 DOI: 10.3390/s19214674] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 10/22/2019] [Accepted: 10/24/2019] [Indexed: 11/30/2022]
Abstract
Cutaneous leishmaniasis (CL) is a neglected tropical disease that requires novel tools for its understanding, diagnosis, and treatment follow-up. In the cases of other cutaneous pathologies, such as cancer or cutaneous ulcers due to diabetes, optical diffuse reflectance-based tools and methods are widely used for the investigation of those illnesses. These types of tools and methods offer the possibility to develop portable diagnosis and treatment follow-up systems. In this article, we propose the use of a three-layer diffuse reflectance model for the study of the formation of cutaneous ulcers caused by CL. The proposed model together with an inverse-modeling procedure were used in the evaluation of diffuse-reflectance spectral signatures acquired from cutaneous ulcers formed in the dorsal area of 21 golden hamsters inoculated with Leishmanisis braziliensis. As result, the quantification of the model’s variables related to the main biological parameters of skin were obtained, such as: diameter and volumetric fraction of keratinocytes, collagen; volumetric fraction of hemoglobin, and oxygen saturation. Those parameters show statistically significant differences among the different stages of the CL ulcer formation. We found that these differences are coherent with histopathological manifestations reported in the literature for the main phases of CL formation.
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Visible and Extended Near-Infrared Multispectral Imaging for Skin Cancer Diagnosis. SENSORS 2018; 18:s18051441. [PMID: 29734747 PMCID: PMC5982599 DOI: 10.3390/s18051441] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 04/19/2018] [Accepted: 05/02/2018] [Indexed: 11/16/2022]
Abstract
With the goal of diagnosing skin cancer in an early and noninvasive way, an extended near infrared multispectral imaging system based on an InGaAs sensor with sensitivity from 995 nm to 1613 nm was built to evaluate deeper skin layers thanks to the higher penetration of photons at these wavelengths. The outcomes of this device were combined with those of a previously developed multispectral system that works in the visible and near infrared range (414 nm⁻995 nm). Both provide spectral and spatial information from skin lesions. A classification method to discriminate between melanomas and nevi was developed based on the analysis of first-order statistics descriptors, principal component analysis, and support vector machine tools. The system provided a sensitivity of 78.6% and a specificity of 84.6%, the latter one being improved with respect to that offered by silicon sensors.
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Nkengne A, Robic J, Seroul P, Gueheunneux S, Jomier M, Vie K. SpectraCam ® : A new polarized hyperspectral imaging system for repeatable and reproducible in vivo skin quantification of melanin, total hemoglobin, and oxygen saturation. Skin Res Technol 2017; 24:99-107. [PMID: 28771832 DOI: 10.1111/srt.12396] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND An accurate way to determine skin pigmentation is to acquire the spectral reflectance of a skin sample and to quantify chromophores by reverse calculation from physical models of light propagation. Therefore, we tested a new hyperspectral imaging device and software suite, the SpectraCam® system, and evaluated its accuracy to quantify skin chromophores. METHODS Validation of the SpectraCam® system was performed by, firstly, comparing the known and the acquired reflectance spectra of color phantoms. Repeatability and reproducibility were then evaluated by two operators who performed acquisitions at different time points and compared the acquired reflectance spectra. The specificity of the system was tested by quantitative analysis of single chromophore variation models: lentigo and pressure relief. Finally, we tested the ability of the SpectraCam® system to detect variations in chromophore in the eye region due to the daily application of a new anti-dark circle cosmetic product. RESULTS The SpectraCam® system faithfully acquires the reflectance spectra of color phantoms (r2 >0.90). The skin reflectance spectra acquired by different operators at different times are highly repeatable (r2 >0.94) and reproducible (r2 >0.99). The SpectraCam® system can also produce qualitative maps that reveal local variations in skin chromophore or underlying structures such as blood vessels. The system is precise enough to detect melanin variation in lentigo or total hemoglobin and oxygen saturation variations upon pressure relief. It is also sensitive enough to detect a decrease in melanin in the eye region due to the application of an anti-dark circle cosmetic product. CONCLUSION The SpectraCam® system proves to be rapid and produces high-resolution data encompassing a large field of view. It is a robust hyperspectral imaging system that quantifies melanin, total hemoglobin, and oxygen saturation and is well adapted to cosmetic research.
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Affiliation(s)
- A Nkengne
- Laboratoires Clarins, Pontoise, France
| | - J Robic
- Laboratoires Clarins, Pontoise, France
| | - P Seroul
- Newtone Technologies, Lyon, France
| | | | - M Jomier
- Newtone Technologies, Lyon, France
| | - K Vie
- Laboratoires Clarins, Pontoise, France
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da Costa A, Biccigo DGZ, de Souza Weimann ET, Mercadante LM, Oliveira PRG, Prebianchi SB, Abdalla BMZ. Durability of Three Different Types of Hyaluronic Acid Fillers in Skin: Are There Differences Among Biphasic, Monophasic Monodensified, and Monophasic Polydensified Products? Aesthet Surg J 2017; 37:573-581. [PMID: 27923810 DOI: 10.1093/asj/sjw161] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2016] [Indexed: 11/14/2022] Open
Abstract
Background Hyaluronic acid fillers are used for facial rejuvenation and are classified as non-cross-linked or cross-linked (monophasic mono- or polydensified). Objectives To histologically assess the intradermal durability of three types of fillers (biphasic, monophasic monodensified, and monophasic polydensified), to compare the durability of the products over 6 months, and to evaluate the structural changes after application. Methods In all, 25 volunteers received injections of three different fillers in the dermis of the right lumbar region (in one line), and equal amounts of the fillers were injected into three different sites (in the same column), yielding nine points of application in each patient. Each line was biopsied on days 2, 92, and 184; these skin samples were analyzed histologically, and the presence or absence of these fillers was verified by a dermatopathologist. Results The histological analysis showed that over 182 days, the amount of the injected monophasic polydensified, monophasic monodensified, and biphasic filler products decreased by 62.5%, 25%, and 12.5%, respectively. Conclusions The biphasic and monophasic monodensified fillers presented greater intradermal durability than did the monophasic polydensified filler at 6 months after intradermal injection. Level of Evidence 2
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Affiliation(s)
- Adilson da Costa
- Research Fellow, Department of Dermatology, Emory University School of Medicine, Atlanta, GA, USA
- Former Dean, Department of Dermatology, Pontifical Catholic University of Campinas, Campinas, SP, Brazil
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Thatcher JE, Squiers JJ, Kanick SC, King DR, Lu Y, Wang Y, Mohan R, Sellke EW, DiMaio JM. Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging. Adv Wound Care (New Rochelle) 2016; 5:360-378. [PMID: 27602255 DOI: 10.1089/wound.2015.0684] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2016] [Accepted: 03/16/2016] [Indexed: 11/13/2022] Open
Abstract
Significance: Burn assessments, including extent and severity, are some of the most critical diagnoses in burn care, and many recently developed imaging techniques may have the potential to improve the accuracy of these evaluations. Recent Advances: Optical devices, telemedicine, and high-frequency ultrasound are among the highlights in recent burn imaging advancements. We present another promising technology, multispectral imaging (MSI), which also has the potential to impact current medical practice in burn care, among a variety of other specialties. Critical Issues: At this time, it is still a matter of debate as to why there is no consensus on the use of technology to assist burn assessments in the United States. Fortunately, the availability of techniques does not appear to be a limitation. However, the selection of appropriate imaging technology to augment the provision of burn care can be difficult for clinicians to navigate. There are many technologies available, but a comprehensive review summarizing the tissue characteristics measured by each technology in light of aiding clinicians in selecting the proper device is missing. This would be especially valuable for the nonburn specialists who encounter burn injuries. Future Directions: The questions of when burn assessment devices are useful to the burn team, how the various imaging devices work, and where the various burn imaging technologies fit into the spectrum of burn care will continue to be addressed. Technologies that can image a large surface area quickly, such as thermography or laser speckle imaging, may be suitable for initial burn assessment and triage. In the setting of presurgical planning, ultrasound or optical microscopy techniques, including optical coherence tomography, may prove useful. MSI, which actually has origins in burn care, may ultimately meet a high number of requirements for burn assessment in routine clinical use.
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Affiliation(s)
| | - John J. Squiers
- Spectral MD, Inc., Dallas, Texas
- Baylor Research Institute, Baylor Scott & White Health, Dallas, Texas
| | | | | | - Yang Lu
- Spectral MD, Inc., Dallas, Texas
| | | | | | | | - J. Michael DiMaio
- Spectral MD, Inc., Dallas, Texas
- Baylor Research Institute, Baylor Scott & White Health, Dallas, Texas
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Galeano J, Perez S, Montoya Y, Botina D, Garzón J. Blind source separation of ex-vivo aorta tissue multispectral images. BIOMEDICAL OPTICS EXPRESS 2015; 6:1589-1598. [PMID: 26137366 PMCID: PMC4467706 DOI: 10.1364/boe.6.001589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/18/2015] [Accepted: 02/24/2015] [Indexed: 06/04/2023]
Abstract
Blind Source Separation methods (BSS) aim for the decomposition of a given signal in its main components or source signals. Those techniques have been widely used in the literature for the analysis of biomedical images, in order to extract the main components of an organ or tissue under study. The analysis of skin images for the extraction of melanin and hemoglobin is an example of the use of BSS. This paper presents a proof of concept of the use of source separation of ex-vivo aorta tissue multispectral Images. The images are acquired with an interference filter-based imaging system. The images are processed by means of two algorithms: Independent Components analysis and Non-negative Matrix Factorization. In both cases, it is possible to obtain maps that quantify the concentration of the main chromophores present in aortic tissue. Also, the algorithms allow for spectral absorbance of the main tissue components. Those spectral signatures were compared against the theoretical ones by using correlation coefficients. Those coefficients report values close to 0.9, which is a good estimator of the method's performance. Also, correlation coefficients lead to the identification of the concentration maps according to the evaluated chromophore. The results suggest that Multi/hyper-spectral systems together with image processing techniques is a potential tool for the analysis of cardiovascular tissue.
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Affiliation(s)
- July Galeano
- Grupo de Materiales Avanzados y Energía -MatyEr-. Línea Electromedicina. Instituto Tecnológico Metropolitano. Calle 54A No. 30-01 Medellín-
Colombia
| | - Sandra Perez
- Grupo de Dinámica Cardiovascular. Universidad Pontificia Bolivariana, Circular 1 No. 73-76, Medellín-
Colombia
- Grupo de Óptica y Espectroscopía -GOE- Universidad Pontificia Bolivariana, Circular 1 No. 73-76, Medellín-
Colombia
| | - Yonatan Montoya
- Grupo de Materiales Avanzados y Energía -MatyEr-. Línea Electromedicina. Instituto Tecnológico Metropolitano. Calle 54A No. 30-01 Medellín-
Colombia
| | - Deivid Botina
- Grupo de Materiales Avanzados y Energía -MatyEr-. Línea Electromedicina. Instituto Tecnológico Metropolitano. Calle 54A No. 30-01 Medellín-
Colombia
| | - Johnson Garzón
- Grupo de Óptica y Espectroscopía -GOE- Universidad Pontificia Bolivariana, Circular 1 No. 73-76, Medellín-
Colombia
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Zheludev V, Pölönen I, Neittaanmäki-Perttu N, Averbuch A, Neittaanmäki P, Grönroos M, Saari H. Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction. Biomed Signal Process Control 2015. [DOI: 10.1016/j.bspc.2014.10.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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