Usefulness of the Automated Bone Scan Index in Arthritis: A Quantitative Approach for Evaluating Synovitis, Acne, Pustulosis, Hyperostosis, and Osteitis (SAPHO) Syndrome.

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Nuclear Medicine and Molecular Imaging Pub Date : 2025-04-01 Epub Date: 2024-09-19 DOI:10.1007/s13139-024-00883-0

Kenta Nomura, Michihiro Nakayama, Atsutaka Okizaki

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引用次数: 0

Abstract

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.

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目的：几十年来，骨闪烁扫描（BS）一直被用作滑膜炎、痤疮、脓疱病、骨质增生和骨炎（SAPHO）综合征患者关节炎的诊断工具。人工智能（AI）诊断支持系统在 BS 方面效果显著。人工智能诊断支持系统对 BS 的骨扫描指数（BSI）已被用于骨肿瘤的诊断。然而，其在关节炎中的应用尚未得到验证。本研究旨在评估使用人工智能诊断支持系统的 BSI 对 SAPHO 综合征患者关节炎的实用性：方法：使用人工智能诊断支持系统（VSBONE BSI®）计算 SAPHO 综合征患者 BS 上胸锁关节和胸肋关节周围关节炎摄取的区域 BSI（rBSI）。为了进行比较，还对同一区域 BS 上有退行性病变的患者进行了评估：这项研究包括 43 名 SAPHO 综合征患者和 48 名退行性病变患者。SAPHO 综合征患者使用诊断支持系统的 rBSI 为 0.19 ± 0.19，退行性病变患者的 rBSI 为 0.043 ± 0.056。SAPHO综合征患者的rBSIs明显高于退行性病变患者（P ，95%置信区间：0.81-0.92）：结论：使用人工智能诊断支持系统计算的 rBSI 对关节炎进行客观评估可能是有用的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nuclear Medicine and Molecular Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.20

自引率

7.70%

发文量

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.