Literature DB >> 28480781

Digital otoscopy versus microscopy: How correct and confident are ear experts in their diagnoses?

Aaron C Moberly1, Margaret Zhang1, Lianbo Yu2, Metin Gurcan3, Caglar Senaras3, Theodoros N Teknos1, Charles A Elmaraghy1,4, Nazhat Taj-Schaal5, Garth F Essig1.   

Abstract

Introduction With the growing popularity of telemedicine and tele-diagnostics, clinical validation of new devices is essential. This study sought to investigate whether high-definition digital still images of the eardrum provide sufficient information to make a correct diagnosis, as compared with the gold standard view provided by clinical microscopy. Methods Twelve fellowship-trained ear physicians (neurotologists) reviewed the same set of 210 digital otoscope eardrum images. Participants diagnosed each image as normal or, if abnormal, they selected from seven types of ear pathology. Diagnostic percentage correct for each pathology was compared with a gold standard of diagnosis using clinical microscopy with adjunct audiometry and/or tympanometry. Participants also rated their degree of confidence for each diagnosis. Results Overall correctness of diagnosis for ear pathologies ranged from 48.6-100%, depending on the type of pathology. Neurotologists were 72% correct in identifying eardrums as normal. Reviewers' confidence in diagnosis varied substantially among types of pathology, as well as among participants. Discussion High-definition digital still images of eardrums provided sufficient information for neurotologists to make correct diagnoses for some pathologies. However, some diagnoses, such as middle ear effusion, were more difficult to diagnose when based only on a still image. Levels of confidence of reviewers did not generally correlate with diagnostic ability.

Entities:  

Keywords:  Remote consultation; ear disease; otoscopy; telemedicine

Mesh:

Year:  2017        PMID: 28480781     DOI: 10.1177/1357633X17708531

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  10 in total

1.  Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture.

Authors:  Kamel K Mohammed; Aboul Ella Hassanien; Heba M Afify
Journal:  J Digit Imaging       Date:  2022-03-16       Impact factor: 4.903

2.  Computer-aided diagnosis of external and middle ear conditions: A machine learning approach.

Authors:  Michelle Viscaino; Juan C Maass; Paul H Delano; Mariela Torrente; Carlos Stott; Fernando Auat Cheein
Journal:  PLoS One       Date:  2020-03-12       Impact factor: 3.240

3.  Comparison of a Novel Handheld Telehealth Device with Stand-Alone Examination Tools in a Clinic Setting.

Authors:  Nancy L McDaniel; Wendy Novicoff; Brian Gunnell; David Cattell Gordon
Journal:  Telemed J E Health       Date:  2018-12-18       Impact factor: 3.536

4.  A systematic review of remote otological assessment using video-otoscopy over the past 10 years: reliability and applications.

Authors:  Christopher Metcalfe; Jameel Muzaffar; Linda Orr; Christopher Coulson
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-01-24       Impact factor: 2.503

5.  Differential Biases and Variabilities of Deep Learning-Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study.

Authors:  Jae Young Choi; Hae-Jeong Park; Dongchul Cha; Chongwon Pae; Se A Lee; Gina Na; Young Kyun Hur; Ho Young Lee; A Ra Cho; Young Joon Cho; Sang Gil Han; Sung Huhn Kim
Journal:  JMIR Med Inform       Date:  2021-12-08

6.  Creating learning health systems and the emerging role of biomedical informatics.

Authors:  Martin S Kohn; Umit Topaloglu; Eric S Kirkendall; Ajay Dharod; Brian J Wells; Metin Gurcan
Journal:  Learn Health Syst       Date:  2021-03-11

7.  Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis.

Authors:  Chih-Hao Chen; Chii-Yuan Huang; Hsiu-Lien Cheng; Heng-Yu Haley Lin; Yuan-Chia Chu; Chun-Yu Chang; Ying-Hui Lai; Mao-Che Wang; Yen-Fu Cheng
Journal:  Diagnostics (Basel)       Date:  2022-04-13

8.  Digital Otoscopy Videos Versus Composite Images: A Reader Study to Compare the Accuracy of ENT Physicians.

Authors:  Hamidullah Binol; Muhammad Khalid Khan Niazi; Garth Essig; Jay Shah; Jameson K Mattingly; Michael S Harris; Charles Elmaraghy; Theodoros Teknos; Nazhat Taj-Schaal; Lianbo Yu; Metin N Gurcan; Aaron C Moberly
Journal:  Laryngoscope       Date:  2020-11-10       Impact factor: 3.325

9.  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 10.  A Review of Telemedicine Applications in Otorhinolaryngology: Considerations During the Coronavirus Disease of 2019 Pandemic.

Authors:  Amrita K Singh; David A Kasle; Roy Jiang; Jordan Sukys; Emily L Savoca; Michael Z Lerner; Nikita Kohli
Journal:  Laryngoscope       Date:  2020-10-01       Impact factor: 2.970

  10 in total

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