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Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images
Journal of X-Ray Science and Technology ( IF 3 ) Pub Date : 2021-04-30 , DOI: 10.3233/xst-200834
Chang-Ching Yu, Chien-Yi Ting, Ming-Hui Yang, Hung-Pin Chan

The Tc-99m methylene diphosphonate (MDP) whole body bone scan (WBBS) has been widely accepted as a method of choice for the initial diagnosis of bone and joint changes in patients with oncologic diseases. The WBBS has shown high sensitivity but relatively low specificity due to bone variation. Thisstudy aims to use the self-developing irregular flux viewer (IFV) system to predict possible bone lesions in planar WBBS. The study uses gradient vector flow (GVF) and self-organizing map (SOM) methods to analyze the blood fluid-dynamics and evaluate hot points. The evaluation includes a selection of 368 patients with bone metastasis from prostate cancer, lung cancer and breast cancer. Finally, we compare IFV values with BONENAVI version data. BONENAVI is a computer-assisted diagnosis system that analyzes bone scintigraphy automatically. The analysis shows that the IFV system achieves sensitivities of 93% for prostate cancer, 91% for breast cancer, and 83% for lung cancer, respectively. On the other hand, our proposed approach achieves a higher sensitivity than the results of BONEVAVI version 2.0.5 for prostate cancer (88%), breast cancer (86%) and lung cancer (82%), respectively. The study results demonstrate that the high sensitivity and specificity of the IFV system can provide assistance for image interpretation and generate prediction values for WBBS.

中文翻译:

不规则通量观察系统与 BONENAVI 版本在识别 Tc-99m MDP 全身骨扫描转移图像中的比较

Tc-99m 亚甲基二膦酸盐 (MDP) 全身骨扫描 (WBBS) 已被广泛接受为初始诊断肿瘤疾病患者骨和关节变化的首选方法。由于骨骼变异,WBBS 已显示出高灵敏度但相对较低的特异性。本研究旨在使用自行开发的不规则通量观察器 (IFV) 系统来预测平面 WBBS 中可能的骨损伤。该研究使用梯度矢量流 (GVF) 和自组织图 (SOM) 方法来分析血液流体动力学和评估热点。评估包括选择 368 名患有前列腺癌、肺癌和乳腺癌骨转移的患者。最后,我们将 IFV 值与 BONEAVI 版本数据进行比较。BONENAVI 是一种计算机辅助诊断系统,可自动分析骨闪烁扫描。分析表明,IFV 系统对前列腺癌的敏感性分别为 93%、乳腺癌的 91% 和肺癌的 83%。另一方面,我们提出的方法对前列腺癌(88%)、乳腺癌(86%)和肺癌(82%)的敏感性分别高于 BONEVAVI 2.0.5 版的结果。研究结果表明,IFV 系统的高灵敏度和特异性可以为图像解释提供帮助,并为 WBBS 生成预测值。分别。研究结果表明,IFV 系统的高灵敏度和特异性可以为图像解释提供帮助,并为 WBBS 生成预测值。分别。研究结果表明,IFV 系统的高灵敏度和特异性可以为图像解释提供帮助,并为 WBBS 生成预测值。
更新日期:2021-05-05
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