{"title":"Usefulness of the Automated Bone Scan Index in Arthritis: A Quantitative Approach for Evaluating Synovitis, Acne, Pustulosis, Hyperostosis, and Osteitis (SAPHO) Syndrome.","authors":"Kenta Nomura, Michihiro Nakayama, Atsutaka Okizaki","doi":"10.1007/s13139-024-00883-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>For several decades, bone scintigraphy (BS) has been used as a diagnostic tool for arthritis in patients with synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome. Artificial intelligence (AI) diagnostic supporting systems are effective in BS. The bone scan index (BSI) on BS with AI diagnostic support systems has been used for bone tumors. However, its application in arthritis has not been validated. The current study aimed to evaluate the usefulness of BSI using an AI diagnostic supporting system for arthritis in patients with SAPHO syndrome.</p><p><strong>Methods: </strong>The regional BSI (rBSI) of arthritis uptake around the sternoclavicular and sternocostal joints on BS in patients with SAPHO syndrome was calculated using an AI diagnostic supporting system (VSBONE BSI®). For comparison, patients with degenerative changes on BS in the same region were evaluated. rBSI was calculated using the same process.</p><p><strong>Results: </strong>This study included 43 patients with SAPHO syndrome and 48 with degenerative changes. The rBSIs with the diagnostic supporting system were 0.19 ± 0.19 in patients with SAPHO syndrome and 0.043 ± 0.056 in those with degenerative changes. Patients with SAPHO syndrome had significantly higher rBSIs than those with degenerative changes (<i>P</i> < 0.001). A cutoff value of 0.030 for rBSI in the region of interest had a sensitivity of 0.98 and specificity of 0.63 for differentiating arthritis from degenerative changes (area under the curve: 0.87<b>,</b> 95% confidence interval: 0.81-0.92).</p><p><strong>Conclusion: </strong>The objective evaluation of arthritis using rBSI calculated with an AI diagnostic supporting system may be useful.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 2","pages":"147-153"},"PeriodicalIF":1.3000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923344/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Medicine and Molecular Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13139-024-00883-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/19 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Usefulness of the Automated Bone Scan Index in Arthritis: A Quantitative Approach for Evaluating Synovitis, Acne, Pustulosis, Hyperostosis, and Osteitis (SAPHO) Syndrome.
Purpose: For several decades, bone scintigraphy (BS) has been used as a diagnostic tool for arthritis in patients with synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome. Artificial intelligence (AI) diagnostic supporting systems are effective in BS. The bone scan index (BSI) on BS with AI diagnostic support systems has been used for bone tumors. However, its application in arthritis has not been validated. The current study aimed to evaluate the usefulness of BSI using an AI diagnostic supporting system for arthritis in patients with SAPHO syndrome.
Methods: The regional BSI (rBSI) of arthritis uptake around the sternoclavicular and sternocostal joints on BS in patients with SAPHO syndrome was calculated using an AI diagnostic supporting system (VSBONE BSI®). For comparison, patients with degenerative changes on BS in the same region were evaluated. rBSI was calculated using the same process.
Results: This study included 43 patients with SAPHO syndrome and 48 with degenerative changes. The rBSIs with the diagnostic supporting system were 0.19 ± 0.19 in patients with SAPHO syndrome and 0.043 ± 0.056 in those with degenerative changes. Patients with SAPHO syndrome had significantly higher rBSIs than those with degenerative changes (P < 0.001). A cutoff value of 0.030 for rBSI in the region of interest had a sensitivity of 0.98 and specificity of 0.63 for differentiating arthritis from degenerative changes (area under the curve: 0.87, 95% confidence interval: 0.81-0.92).
Conclusion: The objective evaluation of arthritis using rBSI calculated with an AI diagnostic supporting system may be useful.
期刊介绍：
Nuclear Medicine and Molecular Imaging (Nucl Med Mol Imaging) is an official journal of the Korean Society of Nuclear Medicine, which bimonthly publishes papers on February, April, June, August, October, and December about nuclear medicine and related sciences such as radiochemistry, radiopharmacy, dosimetry and pharmacokinetics / pharmacodynamics of radiopharmaceuticals, nuclear and molecular imaging analysis, nuclear and molecular imaging instrumentation, radiation biology and radionuclide therapy. The journal specially welcomes works of artificial intelligence applied to nuclear medicine. The journal will also welcome original works relating to molecular imaging research such as the development of molecular imaging probes, reporter imaging assays, imaging cell trafficking, imaging endo(exo)genous gene expression, and imaging signal transduction. Nucl Med Mol Imaging publishes the following types of papers: original articles, reviews, case reports, editorials, interesting images, and letters to the editor.
The Korean Society of Nuclear Medicine (KSNM)
KSNM is a scientific and professional organization founded in 1961 and a member of the Korean Academy of Medical Sciences of the Korean Medical Association which was established by The Medical Services Law. The aims of KSNM are the promotion of nuclear medicine and cooperation of each member. The business of KSNM includes holding academic meetings and symposia, the publication of journals and books, planning and research of promoting science and health, and training and qualification of nuclear medicine specialists.
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