Mercieca Susan, Belderbos José S A, van Herk Marcel
Faculty of Health Science, University of Malta, Msida, Malta.
The University of Amsterdam, Amsterdam, The Netherlands.
Transl Lung Cancer Res. 2021 Apr;10(4):1983-1998. doi: 10.21037/tlcr-20-627.
Radiotherapy, with or without systemic treatment has an important role in the management of lung cancer. In order to deliver the treatment accurately, the clinician must precisely outline the gross tumour volume (GTV), mostly on computed tomography (CT) images. However, due to the limited contrast between tumour and non-malignant changes in the lung tissue, it can be difficult to distinguish the tumour boundaries on CT images leading to large interobserver variation and differences in interpretation. Therefore the definition of the GTV has often been described as the weakest link in radiotherapy with its inaccuracy potentially leading to missing the tumour or unnecessarily irradiating normal tissue. In this article, we review the various techniques that can be used to reduce delineation uncertainties in lung cancer.
放射治疗,无论是否联合全身治疗,在肺癌管理中都起着重要作用。为了精确实施治疗,临床医生必须在计算机断层扫描(CT)图像上准确勾勒出大体肿瘤体积(GTV)。然而,由于肺组织中肿瘤与非恶性病变之间的对比度有限,在CT图像上很难区分肿瘤边界,这导致观察者之间存在较大差异以及解读上的不同。因此,GTV的定义常被认为是放射治疗中最薄弱的环节,其不准确可能导致遗漏肿瘤或不必要地照射正常组织。在本文中,我们综述了可用于减少肺癌轮廓勾画不确定性的各种技术。