1. Millsop JW, , Wang EA, , Fazel N. Etiology, evaluation, and management of xerostomia. Clin Dermatol 2017; 35: 468–76. doi: https://doi.org/10.1016/j.clindermatol.2017.06.010

2. Glore RJ, , Spiteri-Staines K, , Paleri V. A patient with dry mouth. Clin Otolaryngol 2009; 34: 358–63. doi: https://doi.org/10.1111/j.1749-4486.2009.01930.x

3. Pichór A, , Doboszyńska A. Suchość jamy ustnej-niedoceniany problem kliniczny. Palliative Medicine in Practice 2008; 2: 26–28.

4. Mirzaii-Dizgah I, , Agha-Hosseini F. Unstimulated whole saliva parathyroid hormone in postmenopausal women with xerostomia. J Contemp Dent Pract 2011; 12: 196–99. doi: https://doi.org/10.5005/jp-journals-10024-1034

5. Tanasiewicz M, , Hildebrandt T, , Obersztyn I. Xerostomia of various etiologies: A review of the literature. Adv Clin Exp Med 2016; 25: 199–206. doi: https://doi.org/10.17219/acem/29375

6. Busato IMS, , Ignácio SA, , Brancher JA, , Moysés ST, , Azevedo-Alanis LR. Impact of clinical status and salivary conditions on xerostomia and oral health-related quality of life of adolescents with type 1 diabetes mellitus. Community Dent Oral Epidemiol 2012; 40: 62–69. doi: https://doi.org/10.1111/j.1600-0528.2011.00635.x

7. Su G-Y, , Wang C-B, , Hu H, , Liu J, , Ding H-Y, , Xu X-Q, , et al.. 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. Dentomaxillofac Radiol 2019; 48(3): 20180263. doi: https://doi.org/10.1259/dmfr.20180263

8. Reeder SB, , Wen Z, , Yu H, , Pineda AR, , Gold GE, , Markl M, , et al.. Multicoil Dixon chemical species separation with an iterative least-squares estimation method. Magn Reson Med 2004; 51: 35–45. doi: https://doi.org/10.1002/mrm.10675

9. Fukui H, , Hori M, , Fukuda Y, , Onishi H, , Nakamoto A, , Ota T, , et al.. Evaluation of fatty pancreas by proton density fat fraction using 3-T magnetic resonance imaging and its association with pancreatic cancer. Eur J Radiol 2019; 118: 25–31. doi: https://doi.org/10.1016/j.ejrad.2019.06.024

10. Kim H, , Taksali SE, , Dufour S, , Befroy D, , Goodman TR, , Petersen KF, , et al.. Comparative Mr study of hepatic fat quantification using single-voxel proton spectroscopy, two-point Dixon and three-point ideal. Magn Reson Med 2008; 59: 521–27. doi: https://doi.org/10.1002/mrm.21561

11. Meisamy S, , Hines CDG, , Hamilton G, , Sirlin CB, , McKenzie CA, , Yu H, , et al.. Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. Radiology 2011; 258: 767–75. doi: https://doi.org/10.1148/radiol.10100708

12. Eskreis-Winkler S, , Corrias G, , Monti S, , Zheng J, , Capanu M, , Krebs S, , et al.. IDEAL-IQ in an oncologic population: meeting the challenge of concomitant liver fat and liver iron. Cancer Imaging 2018; 18: 51. doi: https://doi.org/10.1186/s40644-018-0167-3

13. Corrias G, , Krebs S, , Eskreis-Winkler S, , Ryan D, , Zheng J, , Capanu M, , et al.. MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI. Clin Imaging 2018; 52: 193–99. doi: https://doi.org/10.1016/j.clinimag.2018.08.002

14. Jeon KJ, , Lee C, , Choi YJ, , Han S-S. Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method. PLoS One 2021; 16(2): e0246596. doi: https://doi.org/10.1371/journal.pone.0246596

15. Hu L, , Zha YF, , Wang L, , Li L, , Xing D, , Gong W, , et al.. Quantitative evaluation of vertebral microvascular permeability and fat fraction in alloxan-induced diabetic rabbits. Radiology 2018; 287: 128–36. doi: https://doi.org/10.1148/radiol.2017170760

16. Chen Y, , Long L, , Jiang Z, , Zhang L, , Zhong D, , Huang X. Quantification of pancreatic proton density fat fraction in diabetic pigs using MR imaging and IDEAL-IQ sequence. BMC Med Imaging 2019; 19: 38. doi: https://doi.org/10.1186/s12880-019-0336-2

17. Yoo HJ, , Hong SH, , Kim DH, , Choi J-Y, , Chae HD, , Jeong BM, , et al.. Measurement of fat content in vertebral marrow using a modified Dixon sequence to differentiate benign from malignant processes. J Magn Reson Imaging 2017; 45: 1534–44. doi: https://doi.org/10.1002/jmri.25496

18. Sreebny LM, , Vissink A. Dry mouth, the malevolent symptom: a clinical guide. John Wiley & Sons; 2010.

19. Sreebny LM. Saliva in health and disease: an appraisal and update. Int Dent J 2000; 50: 140–61. doi: https://doi.org/10.1111/j.1875-595x.2000.tb00554.x

20. Shiboski CH, , Shiboski SC, , Seror R, , Criswell LA, , Labetoulle M, , Lietman TM, , et al.. 2016 american college of rheumatology/european league against rheumatism classification criteria for primary sjögren’s syndrome: A consensus and data-driven methodology involving three international patient cohorts. Ann Rheum Dis 2017; 76: 9–16. doi: https://doi.org/10.1136/annrheumdis-2016-210571

21. Fox RI. Sjögren’s syndrome. Lancet 2005; 366: 321–31. doi: https://doi.org/10.1016/S0140-6736(05)66990-5

22. Chang H-C, , Juan C-J, , Chiu H-C, , Liu Y-J, , Cheng C-C, , Chiu S-C, , et al.. Parotid fat contents in healthy subjects evaluated with iterative decomposition with echo asymmetry and least squares fat-water separation. Radiology 2013; 267: 918–23. doi: https://doi.org/10.1148/radiol.12112599

23. Izumi M, , Eguchi K, , Ohki M, , Uetani M, , Hayashi K, , Kita M, , et al.. Mr imaging of the parotid gland in Sjögren’s syndrome: a proposal for new diagnostic criteria. AJR Am J Roentgenol 1996; 166: 1483–87. doi: https://doi.org/10.2214/ajr.166.6.8633469

24. Izumi M, , Eguchi K, , Nakamura H, , Nagataki S, , Nakamura T. Premature fat deposition in the salivary glands associated with Sjögren syndrome: Mr and CT evidence. AJNR Am J Neuroradiol 1997; 18: 951–58.

25. Takagi Y, , Sumi M, , Sumi T, , Ichikawa Y, , Nakamura T. Mr microscopy of the parotid glands in patients with Sjogren’s syndrome: quantitative Mr diagnostic criteria. AJNR Am J Neuroradiol 2005; 26: 1207–14.

26. van Dijk LV, , Thor M, , Steenbakkers R, , Apte A, , Zhai T-T, , Borra R, , et al.. Parotid gland fat related magnetic resonance image biomarkers improve prediction of late radiation-induced xerostomia. Radiother Oncol 2018; 128: 459–66. doi: https://doi.org/10.1016/j.radonc.2018.06.012

27. Mahne A, , El-Haddad G, , Alavi A, , Houseni M, , Moonis G, , Mong A, , et al.. Assessment of age-related morphological and functional changes of selected structures of the head and neck by computed tomography, magnetic resonance imaging, and positron emission tomography. Semin Nucl Med 2007; 37: 88–102. doi: https://doi.org/10.1053/j.semnuclmed.2006.10.003

28. Howlett DC. High resolution ultrasound assessment of the parotid gland. Br J Radiol 2003; 76: 271–77. doi: https://doi.org/10.1259/bjr/33081866

29. Aoki T, , Yamaguchi S, , Kinoshita S, , Hayashida Y, , Korogi Y. Quantification of bone marrow fat content using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (ideal): reproducibility, site variation and correlation with age and menopause. Br J Radiol 2016; 89(1065): 20150538. doi: https://doi.org/10.1259/bjr.20150538

30. Kise Y, , Chikui T, , Yamashita Y, , Kobayashi K, , Yoshiura K. Clinical usefulness of the mdixon quant the method for estimation of the salivary gland fat fraction: comparison with MR spectroscopy. Br J Radiol 2017; 90(1077): 20160704. doi: https://doi.org/10.1259/bjr.20160704

31. Hu HH, , Yokoo T, , Bashir MR, , Sirlin CB, , Hernando D, , Malyarenko D, , et al.. Linearity and bias of proton density fat fraction as a quantitative imaging biomarker: a multicenter, multiplatform, multivendor phantom study. Radiology 2021; 298: 640–51. doi: https://doi.org/10.1148/radiol.2021202912

32. Diagnosis of sjögren’s syndrome. Lancet 1992; 340: 150–51. doi: https://doi.org/10.1016/0140-6736(92)93221-8

33. Daniels TE. Labial salivary gland biopsy in Sjögren’s syndrome. Arthritis & Rheumatism 1984; 27: 147–56. doi: https://doi.org/10.1002/art.1780270205

34. Sumi M, , Izumi M, , Yonetsu K, , Nakamura T. Sublingual gland: Mr features of normal and diseased states. AJR Am J Roentgenol 1999; 172: 717–22. doi: https://doi.org/10.2214/ajr.172.3.10063867