Effect of laterality, gender, age and body mass index on the fat fraction of salivary glands in healthy volunteers: assessed using iterative decomposition of water and fat with echo asymmetry and least-squares estimation method

• Published in: Dento-maxillo-facial radiology 2019-03, Vol.48 (3), p.20180263-20180263
• Main Authors: Su, Guo-Yi, Wang, Chuan-Bing, Hu, Hao, Liu, Jun, Ding, Hong-Yuan, Xu, Xiao-Quan, Wu, Fei-Yun
• Format: Article
• Language: English
• Subjects: Adipose Tissue - diagnostic imaging; Adolescent; Adult; Aged; Aged, 80 and over; Body Mass Index; Dentistry; Female; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Salivary Glands - diagnostic imaging; Water; Young Adult
• ISSN: 0250-832X; 1476-542X
• DOI: 10.1259/dmfr.20180263

To evaluate the effect of laterality, gender, age and body mass index (BMI) on fat fraction (FF) measurements of both parotid glands (PGs) and submandibular glands (SMGs) by using: Iterative decomposition of water and fat with echo asymmetry and least-squares estimation method (IDEAL-IQ). A total of 87 healthy participants were enrolled in our study. IDEAL-IQ image was scanned using a 3.0 T scanner. Paired t test was performed to compare the difference on FF of both PGs and SMGs between left and right side. The FF of two glands between male and female healthy participants were compared using an unpaired t-test. The correlation between the FF of two glands and participant age or BMI were analyzed by Pearson's correlation. Excellent inter- and intrareader agreements were obtained during the measurements of FF by IDEAL-IQ method (ICC, 0.952-0.981). FF values correlated positively with the age and BMI in both left and right PGs and SMGs (p < 0.05). No significant difference was found on FF between left and right PGs and SMGs (p > 0.05). There was also no difference on FF between male and female healthy participants (p > 0.05). FFs of PGs and SMGs were age- and BMI- dependent, but not laterality- and gender-dependent. The effect of age and BMI need to be considered in further studies using Ideal-IQ technology to evaluate FFs of salivary gland diseases.