Development and accuracy validation of a fat fraction imaging biomarker for sialadenitis in the parotid gland.

BMC Oral Health

Department of Oral and Maxillofacial Radiology, College of Dentistry, Yonsei University, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Korea.

Published: June 2023

AI Article Synopsis

  • Sialadenitis, a common salivary gland condition, can be hard to diagnose, especially when symptoms are mild; biomarkers from medical imaging may provide more reliable diagnosis.
  • The study involved 46 patients diagnosed with sialadenitis and 90 control subjects, analyzing fat fraction data from MRI scans using the IDEAL-IQ method and categorizing participants by body mass index (BMI).
  • Results showed a significant difference in fat fraction between control (38.57%) and sialadenitis groups (23.69%), indicating the IDEAL-IQ marker is a valuable diagnostic tool, particularly beneficial for less experienced clinicians.

Article Abstract

Background: The diagnosis of sialadenitis, the most frequent disease of the salivary glands, is challenging when the symptoms are mild. In such cases, biomarkers can be used as definitive diagnostic indicators. Recently, biomarkers have been developed by extracting and analyzing pathological and morphological features from medical imaging. This study aimed to establish a diagnostic reference for sialadenitis based on the quantitative magnetic resonance imaging (MRI) biomarker IDEAL-IQ and assess its accuracy.

Methods: Patients with sialadenitis (n = 46) and control subjects (n = 90) that underwent MRI were selected. Considering that the IDEAL-IQ value is a sensitive fat fractional marker to the body mass index (BMI), all subjects were also categorized as under-, normal-, and overweight. The fat fraction of parotid gland in the control and sialadenitis groups were obtained using IDEAL-IQ map. The values from the subjects in the control and sialadenitis groups were compared in each BMI category. For comparison, t-tests and receiver operating characteristic (ROC) curve analyses were performed.

Results: The IDEAL-IQ fat faction of the control and sialadenitis glands were 38.57% and 23.69%, respectively, and the differences were significant. The values were significantly lower in the sialadenitis group (P), regardless of the BMI types. The area under the ROC curve (AUC) was 0.83 (cut-off value: 28.72) in patients with sialadenitis. The AUC for under-, normal-, and overweight individuals were 0.78, 0.81, and 0.92, respectively.

Conclusions: The fat fraction marker based on the IDEAL-IQ method was useful as an objective indicator for diagnosing sialadenitis. This marker would aid less-experienced clinicians in diagnosing sialadenitis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236577PMC
http://dx.doi.org/10.1186/s12903-023-03024-9DOI Listing

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