Literature DB >> 30396324

Emerging Technologies for the Diagnosis of Otitis Media.

Tal Marom1, Oded Kraus1, Nadeem Habashi1, Sharon Ovnat Tamir1.   

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.

Entities:  

Keywords:  diagnosis; middle ear; otitis media; otoscopy; tympanic membrane

Mesh:

Year:  2018        PMID: 30396324     DOI: 10.1177/0194599818809337

Source DB:  PubMed          Journal:  Otolaryngol Head Neck Surg        ISSN: 0194-5998            Impact factor:   3.497


  7 in total

1.  A bench-top model of middle ear effusion diagnosed with optical tympanometry.

Authors:  Samir Shreim; Mehdi Abouzari; John Weidling; Sean White; Khodayar Goshtasbi; Nguyen Pham; Hamid R Djalilian; Elliot Botvinick
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2020-04-20       Impact factor: 1.675

2.  In vivo dynamic characterization of the human tympanic membrane using pneumatic optical coherence tomography.

Authors:  Jungeun Won; Ryan G Porter; Michael A Novak; Jon Youakim; Ada Sum; Ronit Barkalifa; Edita Aksamitiene; Anqi Zhang; Ryan Nolan; Ryan Shelton; Stephen A Boppart
Journal:  J Biophotonics       Date:  2020-08-18       Impact factor: 3.207

3.  Longitudinal optical coherence tomography to visualize the in vivo response of middle ear biofilms to antibiotic therapy.

Authors:  Jungeun Won; Wenzhou Hong; Pawjai Khampang; Darold R Spillman; Samuels Marshall; Ke Yan; Ryan G Porter; Michael A Novak; Joseph E Kerschner; Stephen A Boppart
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

4.  Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta-analysis.

Authors:  Al-Rahim Habib; Majid Kajbafzadeh; Zubair Hasan; Eugene Wong; Hasantha Gunasekera; Chris Perry; Raymond Sacks; Ashnil Kumar; Narinder Singh
Journal:  Clin Otolaryngol       Date:  2022-03-15       Impact factor: 2.729

5.  Handheld Briefcase Optical Coherence Tomography with Real-Time Machine Learning Classifier for Middle Ear Infections.

Authors:  Jungeun Won; Guillermo L Monroy; Roshan I Dsouza; Darold R Spillman; Jonathan McJunkin; Ryan G Porter; Jindou Shi; Edita Aksamitiene; MaryEllen Sherwood; Lindsay Stiger; Stephen A Boppart
Journal:  Biosensors (Basel)       Date:  2021-05-03

6.  Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approach.

Authors:  Rustin G Kashani; Marcel C Młyńczak; David Zarabanda; Paola Solis-Pazmino; David M Huland; Iram N Ahmad; Surya P Singh; Tulio A Valdez
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

Review 7.  New Approaches and Technologies to Improve Accuracy of Acute Otitis Media Diagnosis.

Authors:  Susanna Esposito; Sonia Bianchini; Alberto Argentiero; Riccardo Gobbi; Claudio Vicini; Nicola Principi
Journal:  Diagnostics (Basel)       Date:  2021-12-19
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.