A clinical pilot study of salivary gland secretion for xerostomia patients with Sjögren’s syndrome using SPECT/CT
| Autor: | Ichiro Ogura, Yoshiyuki Minami |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Tomography
Emission-Computed Single-Photon musculoskeletal diseases medicine.diagnostic_test business.industry Submandibular Gland Pilot Projects Salivary gland secretion Single-photon emission computed tomography Xerostomia Salivary Glands eye diseases stomatognathic diseases Sjogren's Syndrome stomatognathic system medicine Mann–Whitney U test Humans Parotid Gland Radionuclide imaging Geriatrics and Gerontology Sjogren s Tomography X-Ray Computed Nuclear medicine business General Dentistry |
| Zdroj: | Gerodontology. 39:297-301 |
| ISSN: | 1741-2358 0734-0664 |
| DOI: | 10.1111/ger.12584 |
| Popis: | Introduction This study examined whether time-activity curves (TAC) can be used to differentiate between patients with and without Sjogren's syndrome using SPECT/CT. Methods Thirteen xerostomia patients (5 with Sjogren's syndrome and 8 without Sjogren's syndrome) underwent SPECT/CT. Salivary gland secretion data were digitally observed, producing separate time-activity curves (TAC) for the submandibular glands and parotid glands using SPECT/CT. The salivary gland secretion fraction was defined as A (before stimulation test [counts/frame]) divided by B (after stimulation test [counts/frame]). The A/B ratios of patients with Sjogren's syndrome and those without Sjogren's syndrome were compared using the Mann-Whitney U test for nonparametric data. Results The A/B ratio of parotid glands with Sjogren's syndrome (1.3 ± 0.2) was significantly lower than for those without Sjogren's syndrome (2.7 ± 0.7). The A/B ratio of submandibular glands with Sjogren's syndrome (1.3 ± 0.4) is significantly lower than for those without Sjogren's syndrome (1.8 ± 0.6). Conclusion The TAC for the submandibular glands and parotid glands using SPECT/CT may be useful for the objective and quantitative diagnosis of Sjogren's syndrome. |
| Databáze: | OpenAIRE |
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