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Automatic Classification of Lymph Node Metastasis in Non-Small-Ceil Lung Cancer (NSCLC) Patient on F-18-FDG PET/CT

机译:在F-18-FDG PET / CT上的非小型细胞肺癌(NSCLC)患者中淋巴结转移的自动分类

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Lung Cancer is a leading cause of death worldwide, and about 85% of lung cancer is non-small cell lung cancer (NSCLC). The staging of lymph nodes in NSCLC patients is extremely important because respective stages require different treatments. FDG-PET/CT is a gold standard for lymph node metastasis staging of NSCLC. However, the results of discriminating lymph node staging on 18F-2-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET)/computed tomography (CT) still needs improvement. In addition to the traditional image parameters of FDG-PET/CT such as standardized uptake value (SUV), there are many other parameters available from FDG-PET/CT images, for example, the lymphatic drainage pathway. For the purpose of a better accuracy on lymph node metastasis diagnosis on NSCLC patient in FDG-PET/CT, this research developed a computer-aided diagnosis (CAD) system to improve the diagnostic efficiency, which achieved an accuracy of 85%, a sensitivity of 82% and a specificity of 85%.
机译:肺癌是全世界死亡的首要原因,并且约85%的肺癌是非小细胞肺癌(NSCLC)。因为各个阶段需要不同的治疗非小细胞肺癌患者淋巴结分期是非常重要的。 FDG-PET / CT是NSCLC的淋巴结转移分期黄金标准。然而,鉴别淋巴结分期上18F-2-氟-2-脱氧d葡萄糖的结果(FDG)正电子发射断层扫描(PET)/计算机断层扫描(CT)仍然需要改进。除了诸如标准化摄取值(SUV)FDG-PET / CT的传统图像参数,也有可从FDG-PET / CT图像许多其它参数,例如,淋巴引流通路。有关在FDG-PET / CT NSCLC患者上淋巴结转移诊断更好的精确度的目的,本研究开发了一种计算机辅助诊断(CAD)系统,提高了诊断效率,这实现了85%的准确度,灵敏度的82%和85%的特异性。

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