222
Views
13
CrossRef citations to date
0
Altmetric
Review Article

From Mondini to the latest inner ear malformations’ classifications: an historical and critical review

ORCID Icon, ORCID Icon & ORCID Icon
Pages 241-248 | Published online: 13 Sep 2019
 

Abstract

More than two hundred years ago, the Italian Carlo Mondini described the first inner ear malformation (IEM). From that moment, a lot of authors from all over the world put their effort on the discovery, description and classification of IEMs. Anatomists, radiologists and surgeons were involved in this amazing field. But the desire for more information on these anomalies should not be considered ephemeral; a deeper understanding of these pathologies has led over the years to the development of new surgical techniques and approaches for auditory rehabilitation of patients affected by congenital hearing loss. The development of new technologies, in particular in radiology and otolaryngology, had a tremendous impact on the evolution of the classification systems proposed over the decades. The evolution of computed tomography, magnetic resonance imaging (MRI) and cochlear implants is still having a great effect in current clinical management of this kind of patients. Even though so much was obtained over the centuries, we cannot really say that the quest is over. The present review aims to sum up the main historical steps that led to the development of the modern classification systems of IEMs.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

None of the authors received grants or funding for this paper.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.