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Kashani RG, Młyńczak MC, Zarabanda D, Solis-Pazmino P, Huland DM, Ahmad IN, Singh SP, Valdez TA. Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approach. Sci Rep 2021; 11:12509. [PMID: 34131163 PMCID: PMC8206083 DOI: 10.1038/s41598-021-91736-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/04/2021] [Indexed: 02/05/2023] Open
Abstract
Otitis media, a common disease marked by the presence of fluid within the middle ear space, imparts a significant global health and economic burden. Identifying an effusion through the tympanic membrane is critical to diagnostic success but remains challenging due to the inherent limitations of visible light otoscopy and user interpretation. Here we describe a powerful diagnostic approach to otitis media utilizing advancements in otoscopy and machine learning. We developed an otoscope that visualizes middle ear structures and fluid in the shortwave infrared region, holding several advantages over traditional approaches. Images were captured in vivo and then processed by a novel machine learning based algorithm. The model predicts the presence of effusions with greater accuracy than current techniques, offering specificity and sensitivity over 90%. This platform has the potential to reduce costs and resources associated with otitis media, especially as improvements are made in shortwave imaging and machine learning.
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Affiliation(s)
- Rustin G. Kashani
- grid.168010.e0000000419368956Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94304 USA
| | - Marcel C. Młyńczak
- grid.1035.70000000099214842Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland
| | - David Zarabanda
- grid.168010.e0000000419368956Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94304 USA
| | - Paola Solis-Pazmino
- grid.168010.e0000000419368956Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94304 USA
| | - David M. Huland
- grid.168010.e0000000419368956Department of Radiology, Stanford University School of Medicine, Palo Alto, CA USA
| | - Iram N. Ahmad
- grid.168010.e0000000419368956Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94304 USA ,grid.414123.10000 0004 0450 875XLucile Packard Children’s Hospital, Palo Alto, CA USA
| | - Surya P. Singh
- grid.495560.b0000 0004 6003 8393Department of Biosciences and Bioengineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka India
| | - Tulio A. Valdez
- grid.168010.e0000000419368956Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94304 USA ,grid.414123.10000 0004 0450 875XLucile Packard Children’s Hospital, Palo Alto, CA USA
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Gisselsson-Solén M, Tähtinen PA, Ryan AF, Mulay A, Kariya S, Schilder AG, Valdez TA, Brown S, Nolan RM, Hermansson A, van Ingen G, Marom T. Panel 1: Biotechnology, biomedical engineering and new models of otitis media. Int J Pediatr Otorhinolaryngol 2020; 130 Suppl 1:109833. [PMID: 31901291 PMCID: PMC7176743 DOI: 10.1016/j.ijporl.2019.109833] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To summarize recently published key articles on the topics of biomedical engineering, biotechnology and new models in relation to otitis media (OM). DATA SOURCES Electronic databases: PubMed, Ovid Medline, Cochrane Library and Clinical Evidence (BMJ Publishing). REVIEW METHODS Articles on biomedical engineering, biotechnology, material science, mechanical and animal models in OM published between May 2015 and May 2019 were identified and subjected to review. A total of 132 articles were ultimately included. RESULTS New imaging technologies for the tympanic membrane (TM) and the middle ear cavity are being developed to assess TM thickness, identify biofilms and differentiate types of middle ear effusions. Artificial intelligence (AI) has been applied to train software programs to diagnose OM with a high degree of certainty. Genetically modified mice models for OM have further investigated what predisposes some individuals to OM and consequent hearing loss. New vaccine candidates protecting against major otopathogens are being explored and developed, especially combined vaccines, targeting more than one pathogen. Transcutaneous vaccination against non-typeable Haemophilus influenzae has been successfully tried in a chinchilla model. In terms of treatment, novel technologies for trans-tympanic drug delivery are entering the clinical domain. Various growth factors and grafting materials aimed at improving healing of TM perforations show promising results in animal models. CONCLUSION New technologies and AI applications to improve the diagnosis of OM have shown promise in pre-clinical models and are gradually entering the clinical domain. So are novel vaccines and drug delivery approaches that may allow local treatment of OM. IMPLICATIONS FOR PRACTICE New diagnostic methods, potential vaccine candidates and the novel trans-tympanic drug delivery show promising results, but are not yet adapted to clinical use.
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Affiliation(s)
- Marie Gisselsson-Solén
- Department of Clinical Sciences, Division of Otorhinolaryngology, Head and Neck Surgery, Lund University Hospital, Lund, Sweden
| | - Paula A. Tähtinen
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Allen F. Ryan
- Division of Otolaryngology, Department of Surgery, University of California, San Diego, La Jolla, CA, USA,San Diego Veterans Affairs Healthcare System, Research Department, San Diego, CA, USA
| | - Apoorva Mulay
- The Stripp Lab, Pulmonary Department, Cedars Sinai Medical Center, Los Angeles, CA, USA
| | - Shin Kariya
- Department of Otolaryngology-Head and Neck Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Anne G.M. Schilder
- EvidENT, Ear Institute, University College London, London, UK,National Institute for Health Research University College London Biomedical Research Centre, London, UK,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tulio A. Valdez
- Department of Otolaryngology Head & Neck Surgery, Stanford University, Palo Alto, CA, USA
| | - Steve Brown
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, UK
| | | | - Ann Hermansson
- Department of Clinical Sciences, Division of Otorhinolaryngology, Head and Neck Surgery, Lund University Hospital, Lund, Sweden
| | - Gijs van Ingen
- Department of Otolaryngology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Tal Marom
- Department of Otolaryngology-Head and Neck Surgery, Samson Assuta Ashdod University Hospital, Faculty of Health Sciences Ben Gurion University, Ashdod, Israel.
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Marom T, Kraus O, Habashi N, Tamir SO. Emerging Technologies for the Diagnosis of Otitis Media. Otolaryngol Head Neck Surg 2018; 160:447-456. [PMID: 30396324 DOI: 10.1177/0194599818809337] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVE To review new experimental techniques for the diagnosis of otitis media (OM). DATA SOURCES Literature search in English in the following databases: MEDLINE (via PubMed), Ovid Medline, Google Scholar, and Clinical Evidence (BMJ Publishing) between January 1, 2005, and April 30, 2018. Subsequently, articles were reviewed and included only if relevant. REVIEW METHODS MeSH terms: ["diagnosis"] AND [all forms of OM] AND ["human"] AND ["ear"] and ["tympanic membrane"]. The retrieved innovative diagnostic techniques rely on and take advantage of the physical properties of the tympanomastoid cavity components: tympanic membrane (TM) thickness, its translucency and compliance; middle ear fluid characteristics; biofilm presence; increased tissue metabolic activity in OM states; and fluid presence in the mastoid cavity. These parameters are taken into account to establish OM diagnosis objectively. We review spectral gradient acoustic reflectometry, digital otoscopy, TM image analysis, multicolor reflectance imaging, anticonfocal middle ear assessment, optical coherence tomography, quantitative pneumatic otoscopy, transmastoid ultrasound, wideband measurements, TM thickness mapping, shortwave infrared imaging, and wideband acoustic transfer functions. CONCLUSIONS New experimental techniques are gradually introduced to overcome the limitations of standard otoscopy. The aforementioned techniques are still under investigation and are pending widespread clinical use. The implementation of these techniques in the market is dependent on their success in clinical trials, as well as on their future cost. IMPLICATION FOR PRACTICE New techniques for the diagnosis of OM can objectively evaluate the morphology of the TM, determine the presence of middle ear fluid and evaluate its content, and thus potentially replace standard otoscopy.
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Affiliation(s)
- Tal Marom
- 1 Department of Otolaryngology-Head and Neck Surgery, Samson Assuta Ashdod University Hospital, Ben Gurion University Faculty of Health Sciences, Ashdod, Israel
| | - Oded Kraus
- 1 Department of Otolaryngology-Head and Neck Surgery, Samson Assuta Ashdod University Hospital, Ben Gurion University Faculty of Health Sciences, Ashdod, Israel
| | - Nadeem Habashi
- 1 Department of Otolaryngology-Head and Neck Surgery, Samson Assuta Ashdod University Hospital, Ben Gurion University Faculty of Health Sciences, Ashdod, Israel
| | - Sharon Ovnat Tamir
- 1 Department of Otolaryngology-Head and Neck Surgery, Samson Assuta Ashdod University Hospital, Ben Gurion University Faculty of Health Sciences, Ashdod, Israel
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