影像组学及深度学习在预测胃癌淋巴结转移中的研究进展
Journal: Basic Medical Theory Research DOI: 10.12238/bmtr.v7i1.11794
Abstract
胃癌是最常见的恶性肿瘤之一,淋巴结状态对于胃癌临床分期、治疗决策及预后起着重要作用。术前评估淋巴结状态对临床治疗决策至关重要,影像组学和深度学习技术通过高通量地提取影像组学特征来预测肿瘤的生物学行为,具有可重复性、无创性及客观性等特点,现已广泛应用于胃癌诊断、淋巴结转移及预后评估等方面。本文基于CT、MRI及PET/CT的影像组学和深度学习技术在预测胃癌淋巴结转移中的研究进展予以综述,以期为临床个体化精准医疗提供新思路。
Keywords
胃癌；淋巴结；影像组学；深度学习
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