{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T04:05:16Z","timestamp":1748577916459,"version":"3.41.0"},"reference-count":22,"publisher":"Termedia Sp. z.o.o.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pol J Radiol"],"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>This study aimed to investigate the relationship between radiomic features extracted from computed tomo\u00adgraphy (CT) images and the mean standardised uptake value (SUVmean) obtained from salivary gland single-photon emission computed tomography (SPECT\/CT), focusing on differences between Sj\u00f6gren\u2019s syndrome and submandibular sialolithiasis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Material and methods<\/jats:title><jats:p>Thirteen patients (7 with Sj\u00f6gren\u2019s syndrome and 6 with submandibular sialolithiasis) underwent CT and SPECT\/CT imaging. SUV&lt;sub&gt;mean&lt;\/sub&gt; was calculated pre- and post-stimulation using technetium-99 m. Radiomic features were extracted from CT images using PyRadiomics, excluding shape-related features due to the impact of metal artifacts. Spearman\u2019s correlation coefficients were used to evaluate the relationship between pre\/poststimulation SUV&lt;sub&gt;mean&lt;\/sub&gt; ratios and radiomic features. Regression models were created for features strongly correlated with SUV&lt;sub&gt;mean&lt;\/sub&gt; ratios.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The median pre\/post SUV&lt;sub&gt;mean&lt;\/sub&gt; ratios were 1.30 (1.02-1.57) for Sj\u00f6gren\u2019s syndrome and 2.35 (2.23-3.01) for sialolithiasis. In Sj\u00f6gren\u2019s syndrome, 4 radiomic features correlated strongly with the SUV&lt;sub&gt;mean&lt;\/sub&gt; ratio: busyness (&lt;i&gt;r&lt;\/i&gt; = 0.78, &lt;i&gt;p&lt;\/i&gt; &lt; 0.01), energy (&lt;i&gt;r&lt;\/i&gt; = 0.70, &lt;i&gt;p&lt;\/i&gt; &lt; 0.01), total energy (&lt;i&gt;r&lt;\/i&gt; = 0.66, &lt;i&gt;p&lt;\/i&gt; = 0.01), and high grey level emphasis (&lt;i&gt;r&lt;\/i&gt; = \u20130.60, &lt;i&gt;p&lt;\/i&gt; = 0.02). No significant correlations were observed in sialolithiasis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Specific radiomic features in CT images showed strong correlations with SUV ratios in Sj\u00f6gren\u2019s syndrome but not in sialolithiasis. These findings suggest the potential utility of CT radiomics in evaluating salivary gland function, particularly in Sj\u00f6gren\u2019s syndrome, providing insights into functional assessments without SPECT\/CT.<\/jats:p><\/jats:sec>","DOI":"10.5114\/pjr\/202590","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T09:25:03Z","timestamp":1748510703000},"page":"253-259","source":"Crossref","is-referenced-by-count":0,"title":["The relationship between radiomic features in CT images and the salivary gland SPECT\/CT standardised uptake value using 3D analysis"],"prefix":"10.5114","volume":"90","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7992-151X","authenticated-orcid":false,"given":"Yusaku","family":"Miki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9169-8429","authenticated-orcid":true,"given":"Ichiro","family":"ogura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3061","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"ref-1447664","doi-asserted-by":"crossref","unstructured":"Negrini S, Emmi G, Greco M, Borro M, Sardanelli F, Murdaca G, et al. 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A preliminary study of CT texture analysis for characterizing epithelial tumors of the parotid gland. Cancer Manag Res 2020; 12: 2665-2674.","DOI":"10.2147\/CMAR.S245344"},{"key":"ref-1447682","doi-asserted-by":"crossref","unstructured":"Ito K, Muraoka H, Hirahara N, Sawada E, Tokunaga S, Kaneda T, et al. Quantitative assessment of the parotid gland using computed tomography texture analysis to detect parotid sialadenitis. Oral Surg Oral Med Oral Pathol Oral Radiol 2022; 133: 574-581.","DOI":"10.1016\/j.oooo.2021.10.022"},{"key":"ref-1447683","doi-asserted-by":"publisher","DOI":"10.1259\/dmfr.20190019"},{"key":"ref-1447684","unstructured":"Ogura I, Sasaki Y, Oda T, Sue M, Hayama K. Magnetic Resonance Sialography and Salivary Gland Scintigraphy of Parotid Glands in Sj\u00f6gren\u2019s Syndrome. Chin J Dent Res 2018; 21: 63-68."},{"key":"ref-1447685","doi-asserted-by":"crossref","unstructured":"Shirai A, Ogura I. 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