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Mohamed N, Rabie T. Digital Imaging and Artificial Intelligence in Infantile Hemangioma: A Systematic Literature Review. Biomimetics (Basel) 2024; 9:663. [PMID: 39590235 PMCID: PMC11591652 DOI: 10.3390/biomimetics9110663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 10/11/2024] [Accepted: 10/23/2024] [Indexed: 11/28/2024] Open
Abstract
Infantile hemangioma (IH) is a vascular anomaly observed in newborns, with potential severe complications if left undetected. Consequently, researchers have turned to artificial intelligence (AI) and digital imaging (DI) methods for detection, segmentation, and assessing the treatment response in IH cases. This paper conducts a systematic literature review (SLR) following the Kitchenham framework to scrutinize the utilization of AI and digital imaging techniques in IH applications. A total of 21 research articles spanning from 2014 to April 2024 were carefully selected and analyzed to address four key research questions: the issues solved in IH using AI and DI, the most-used AI and DI techniques, the best-performing technique in detecting IH, and the limitations and future directions in the various fields of IH. After an extensive review of the selected articles, it was found that 10 of the 21 articles focused on detecting IH, and 15 articles utilized AI. However, the best-performing technique in detecting IH employed DI. Additionally, the SLR offers insights and recommendations into future directions for IH applications.
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Affiliation(s)
- Nour Mohamed
- Department of Electrical Engineering, College of Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates;
| | - Tamer Rabie
- Department of Computer Engineering, College of Computing & Informatics, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
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Perkov S, Vorobev V, Kurochkin MA, Gorodkov S, Gorin D. Rapid low-cost hyperspectral imaging system for quantitative assessment of infantile hemangioma. JOURNAL OF BIOPHOTONICS 2024; 17:e202300375. [PMID: 38009761 DOI: 10.1002/jbio.202300375] [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: 09/11/2023] [Revised: 10/29/2023] [Accepted: 11/05/2023] [Indexed: 11/29/2023]
Abstract
Hemangioma, the predominant benign tumor occurring in infancy, exhibits a wide range of prognoses and associated outcomes. The accurate determination of prognosis through noninvasive imaging modalities holds essential importance in enabling effective personalized treatment strategies and minimizing unnecessary surgical interventions for individual patients. The present study focuses on advancing the personalized prognosis of hemangioma by leveraging noninvasive optical sensing technologies by the development of a novel rapid hyperspectral sensor (image collection in 5 s, lateral resolution of 10 μm) that is capable of quantifying hemoglobin oxygenation and vascularization dynamics during the course of tumor evolution. We have developed a quantitative parameter for hemangioma assessment, that demonstrated agreement with the clinician's conclusion in 90% among all cases during clinical studies on six patients, who visited clinician from two to four times. The presented methodology has potential to be implemented as a supportive tool for accurate hemangioma diagnostics in clinics.
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Affiliation(s)
- Sergei Perkov
- Center for Photonic Science and Engineering, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Viktor Vorobev
- Center for Photonic Science and Engineering, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Maxim A Kurochkin
- Center for Photonic Science and Engineering, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Sergey Gorodkov
- Center for Photonic Science and Engineering, Skolkovo Institute of Science and Technology, Moscow, Russia
- Faculty of Pediatrics, Saratov State Medical University, Saratov, Russia
| | - Dmitry Gorin
- Center for Photonic Science and Engineering, Skolkovo Institute of Science and Technology, Moscow, Russia
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Xie M, Liu J, Zhou P, Xu X, Liu H, Zeng L, Chen F, Zeng Y, Huang H, Peng W, Xiao H, Liu Q. Development of a digital imaging analysis system to evaluate the treatment response in superficial infantile hemangiomas. PLoS One 2023; 18:e0282274. [PMID: 36940202 PMCID: PMC10027214 DOI: 10.1371/journal.pone.0282274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 02/10/2023] [Indexed: 03/21/2023] Open
Abstract
Superficial infantile hemangiomas (IH) are benign vascular tumors common in children characterized by bright red "strawberry" lesions on the skin. In order to optimize the treatment for this disease, there is a need to develop objective tools to assess treatment response. Since a color change in the lesion is a good indicator of treatment response, we have developed a digital imaging system to quantify the values of red, green, and blue (RGB) difference and RGB ratio between the tumor and normal tissue to take into account the variations in color between different skin types. The efficacy of the proposed system in assessing treatment response in superficial IH was evaluated in relation to established visual and biochemical tools used to grade hemangiomas. As the treatment progressed, the RGB ratio was almost 1, while the RGB difference was close to 0, which indicates a good response to treatment. There was a strong correlation between the RGB score and the other visual grading systems. However, the correlation between the RGB scoring system and the biochemical method was weak. These findings suggest that the system can be used clinically to objectively and accurately evaluate disease progression and treatment response in patients diagnosed with superficial IH.
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Affiliation(s)
- Mingfeng Xie
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
- Chinese & Western Integrative Medicine Discipline, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
- Jiangxi Key Laboratory of TCM for Prevention and Treatment on Hemangioma, Nanchang, Jiangxi, China
| | - Jianping Liu
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Pingsheng Zhou
- Chinese & Western Integrative Medicine Discipline, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
- Jiangxi Key Laboratory of TCM for Prevention and Treatment on Hemangioma, Nanchang, Jiangxi, China
| | - Xianyun Xu
- Chinese & Western Integrative Medicine Discipline, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
- Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
| | - Haijin Liu
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Linshan Zeng
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Feng Chen
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Yong Zeng
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Haijin Huang
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Wei Peng
- Jiangxi Provincial Clinical Research Center for Vascular Anomalies, The First Affiliated Hospital of GanNan Medical University, Ganzhou, Jiangxi, China
| | - Hui Xiao
- Chinese & Western Integrative Medicine Discipline, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
- Jiangxi Key Laboratory of TCM for Prevention and Treatment on Hemangioma, Nanchang, Jiangxi, China
| | - Qian Liu
- Chinese & Western Integrative Medicine Discipline, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
- Jiangxi Key Laboratory of TCM for Prevention and Treatment on Hemangioma, Nanchang, Jiangxi, China
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Abstract
BACKGROUND Propranolol, a nonselective β-adrenergic receptor antagonist, is approved by the U.S. Food and Drug Administration to treat problematic infantile hemangiomas, but a subset of patients experience treatment complications. Parents wary of long-term use and side effects consult plastic surgeons on surgical options or as a second opinion. Understanding the mechanism(s) of action of propranolol will allow plastic surgeons to better inform parents. METHODS A systemic literature search was performed to query published translational and basic science studies on propranolol effects on infantile hemangiomas and cells derived from these lesions. RESULTS In experimental studies, propranolol was antiproliferative and cytotoxic against hemangioma endothelial and stem cells and affected infantile hemangioma perivascular cell contractility. Propranolol inhibited migration, network formation, vascular endothelial growth factor A production, and vascular endothelial growth factor receptor 2 activation and down-regulated PI3K/AKT and mitogen-activated protein kinase signaling in hemangioma endothelial cells, but it increased ERK1/2 activity in hemangioma stem cells. At effective clinical doses, measured propranolol plasma concentration is 100 times higher than necessary for complete β-adrenergic receptor blockade, yet was 10 to 100 times less than required to induce hemangioma stem cell death. CONCLUSIONS Propranolol targets multiple cell types in infantile hemangiomas by means of β-adrenergic receptor-dependent and -independent mechanisms. Plasma concentration played a significant role. At clinically relevant doses, incomplete infantile hemangioma suppression may explain the rebound phenomenon and worsening ulceration, and propranolol off target effects may lead to commonly reported adverse effects, such as sleep and gastrointestinal disturbances. Propranolol limitations and complications underscore the importance of surgical treatment options in cases of rebound and severe adverse effects. Surgical intervention remains an important treatment choice when parents are hesitant to use propranolol.
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Abstract
BACKGROUND Hypoxia may play a role in the pathogenesis of infantile hemangioma. Cysteine-rich angiogenic inducer 61 (Cyr61), or CCN1, can be induced under hypoxic conditions in several types of cells. However, whether CCN1 has any impact on infantile hemangioma remains unknown. This study aims to explore the expression of CCN1 in infantile hemangioma and to investigate the effect of hypoxia on CCN1 and vascular endothelial growth factor-A (VEGF-A) production. METHODS Hemangioma-derived endothelial cells and hemangioma-derived stem cells were isolated from surgical specimens of proliferative infantile hemangioma. RNA extracted from infantile hemangioma tissue, hemangioma-derived endothelial cells, and hemangioma-derived stem cells was used to analyze gene expression by real-time polymerase chain reaction. The effects of CCN1 blockade were examined in hemangioma-derived stem cells. Immunostaining, immunoblotting, and enzyme-linked immunosorbent assays were used to assess protein expression. RESULTS By double-label immunofluorescence staining, the authors first identified that CCN1 was abundant in proliferative infantile hemangioma lesions and colocalized well with immature microvessels. The authors found that the mRNA level of CCN1 in proliferative infantile hemangioma was significantly higher than in healthy controls, as was involuting infantile hemangioma. Treatment with the hypoxia inducer cobalt chloride dramatically increased CCN1 production in hemangioma-derived endothelial cells in a time-dependent manner. Furthermore, blocking or knockdown of CCN1 expression reduced the expression of VEGF-A in hemangioma-derived stem cells. Lastly, the signaling pathway study showed that CCN1 up-regulation of VEGF-A synthesis in hemangioma-derived stem cells depends on nuclear factor-κB and JNK activation. CONCLUSIONS These findings provide new evidence that CCN1 participates in the crosstalk between hemangioma-derived endothelial cells and hemangioma-derived stem cells through promoting VEGF-A expression in the hypoxic environment of infantile hemangioma angiogenesis and vasculogenesis. Targeting of CCN1 might be a novel therapeutic strategy for infantile hemangioma.
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Marone A, Tang W, Kim Y, Chen T, Danias G, Guo C, Gartshteyn Y, Khalili L, Kim H, Hielscher A, Askanase AD. Evaluation of SLE arthritis using frequency domain optical imaging. Lupus Sci Med 2021; 8:e000495. [PMID: 34462335 PMCID: PMC8407225 DOI: 10.1136/lupus-2021-000495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 08/16/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Systemic lupus erythematosus (SLE) affects the joints in up to 95% of patients. The diagnosis and evaluation of SLE arthritis remain challenging in both practice and clinical trials. Frequency domain optical imaging (FDOI) has been previously used to assess joint involvement in inflammatory arthritis. The objective of this study was to evaluate FDOI in SLE arthritis. METHODS Ninety-six proximal interphalangeal (PIP) joints from 16 patients with SLE arthritis and 60 PIP joints from 10 age-matched, gender-matched and race/ethnicity-matched controls were examined. A laser beam with a wavelength of 670 nm, 1 mm in diameter and intensity modulated at 300 MHz and 600 MHz was directed onto the dorsal surface of each joint, scanning across a sagittal plane. The transmitted light intensities and phase shifts were measured with an intensified charge-coupled device camera. The data were analysed using Discriminant Analysis and Support Vector Machine algorithms. RESULTS The amplitude and phase of the transmitted light were significantly different between SLE and control PIPs (p<0.05). Receiver operating characteristic (ROC) analysis of cross-validated models showed an Area Under the ROC Curve (AUC)of 0.89 with corresponding sensitivity of 95%, specificity of 79%, and accuracy of 80%. CONCLUSION This study is the first evaluation of optical methods in the assessment of SLE arthritis; there was a statistically significant difference in the FDOI signals between patients with SLE and healthy volunteers. The results show that FDOI may have the potential to provide an objective, user-independent, evaluation of SLE PIP joints arthritis.
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Affiliation(s)
- Alessandro Marone
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, New York, USA
| | - Wei Tang
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
| | - Youngwan Kim
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, New York, USA
| | - Tommy Chen
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
| | - George Danias
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
| | - Cathy Guo
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
| | - Yevgeniya Gartshteyn
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
| | - Leila Khalili
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
| | - Hyun Kim
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, New York, USA
- Department of Radiology, Columbia University Irving Medical Center, New York, New York, USA
| | - Andreas Hielscher
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, New York, USA
| | - Anca D Askanase
- Department of Rheumatology, Columbia University Irving Medical Center, New York, New York, USA
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Drolet BA, Boakye-Agyeman F, Harper B, Holland K, Lewandowski A, Stefanko N, Melloni C. Systemic timolol exposure following topical application to infantile hemangiomas. J Am Acad Dermatol 2019; 82:733-736. [PMID: 30790601 DOI: 10.1016/j.jaad.2019.02.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 11/29/2022]
Affiliation(s)
| | - Felix Boakye-Agyeman
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Barrie Harper
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | | | | | | | - Chiara Melloni
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
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Greening GJ, Miller KP, Spainhour CR, Cato MD, Muldoon TJ. Effects of isoflurane anesthesia on physiological parameters in murine subcutaneous tumor allografts measured via diffuse reflectance spectroscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:2871-2886. [PMID: 30258696 PMCID: PMC6154201 DOI: 10.1364/boe.9.002871] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 05/21/2018] [Accepted: 05/23/2018] [Indexed: 05/03/2023]
Abstract
Diffuse reflectance spectroscopy (DRS) has been used in murine studies to quantify tumor perfusion and therapeutic response. These studies frequently use inhaled isoflurane anesthesia, which depresses the respiration rate and results in the desaturation of arterial oxygen saturation, potentially affecting tissue physiological parameters. However, there have been no controlled studies quantifying the effect of isoflurane anesthesia on DRS-derived physiological parameters of murine tissue. The goal of this study was to perform DRS on Balb/c mouse (n = 10) tissue under various anesthesia conditions to quantify effects on tissue physiological parameters, including total hemoglobin concentration, tissue oxygen saturation, oxyhemoglobin and reduced scattering coefficient. Two independent variables were manipulated including metabolic gas type (pure oxygen vs. medical air) and isoflurane concentration (1.5 to 4.0%). The 1.5% isoflurane and 1 L/min oxygen condition most closely mimicked a no-anesthesia condition with oxyhemoglobin concentration within 89% ± 19% of control. The time-dependent effects of isoflurane anesthesia were tested, revealing that anesthetic induction with 4.0% isoflurane can affect DRS-derived physiological parameters up to 20 minutes post-induction. Finally, spectroscopy with and without isoflurane anesthesia was compared for colon tumor Balb/c-CT26 allografts (n = 5) as a representative model of subcutaneous murine tumor allografts. Overall, isoflurane anesthesia yielded experimentally-induced depressed oxyhemoglobin, and this depression was both concentration and time dependent. Investigators should understand the dynamic effects of isoflurane on tissue physiological parameters measured by DRS. These results may guide investigators in eliminating, limiting, or managing anesthesia-induced physiological changes in DRS studies in mouse models.
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Affiliation(s)
- Gage J. Greening
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Kathryn P. Miller
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Caroline R. Spainhour
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Mattison D. Cato
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR 72701, USA
| | - Timothy J. Muldoon
- Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR 72701, USA
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