Endocrine Petrified Ear: Associated Endocrine Conditions in Auricular Calcification/Ossification (A Sample-Focused Analysis).
Ana ValeaColonel Claudiu Eduard NistorMihai-Lucian CiobicaOana-Claudia SimaMara CarsotePublished in: Diagnostics (Basel, Switzerland) (2024)
Petrified ear (PE), an exceptional entity, stands for the calcification ± ossification of auricular cartilage (CAC/OAC); its pathogenic traits are still an open matter. Endocrine panel represents one of the most important; yet, no standard protocol of assessments is available. Our objective was to highlight most recent PE data and associated endocrine (versus non-endocrine) ailments in terms of presentation, imagery tools, hormonal assessments, biopsy, outcome, pathogenic features. This was a comprehensive review via PubMed search (January 2000-March 2024). A total of 75 PE subjects included: 46 case reports/series (N = 49) and two imagery-based retrospective studies (N = 26) with CAC/OAC prevalence of 7-23% (N = 251) amid routine head/temporal bone CT scans. Endocrine PE (EPE): N = 23, male/female ratio = 10.5; average age = 56.78, ranges: 22-79; non-EPE cohort: N = 26; male/female ratio = 1.88, mean age = 49.44; ranges: 18-75 (+a single pediatric case).The longest post-diagnosis follow-up was of 6-7 years. The diagnosis of PE and endocrine anomalies was synchronous or not (time gap of 10-20 years). A novel case in point (calcified EPE amid autoimmune poly-endocrine syndrome type 2 with a 10-year post-diagnosis documented follow-up) was introduced. We re-analyzed EPE and re-classified another five subjects as such. Hence, the final EPE cohort (N = 50) showed: adrenal insufficiency was the most frequent endocrine condition (36%) followed by hypopituitarism (22%) and hypothyroidism (18%); 39% of the patients with adrenal failure had Addison's disease; primary type represented 72% of all cases with hypothyroidism; an endocrine autoimmune (any type) component was diagnosed in 18%. We propose the term of "endocrine petrified ear" and a workflow algorithm to assess the potential hormonal/metabolic background in PE.
Keyphrases
- randomized controlled trial
- computed tomography
- machine learning
- chronic kidney disease
- magnetic resonance imaging
- multiple sclerosis
- electronic health record
- case report
- type diabetes
- magnetic resonance
- gene expression
- cross sectional
- deep learning
- risk factors
- adipose tissue
- risk assessment
- positron emission tomography
- human health
- fine needle aspiration