A*STAR (Agency for Science, Technology and Research), Bioinformatics Institute, Singapore.
Divisions of Radiation Oncology, National Cancer Centre Singapore, Singapore.
PLoS One. 2020 Oct 5;15(10):e0240043. doi: 10.1371/journal.pone.0240043. eCollection 2020.
We hypothesized that spatial heterogeneity exists between recurrent and non-recurrent regions within a tumor. The aim of this study was to determine if there is a difference between radiomics features derived from recurrent versus non recurrent regions within the tumor based on pre-treatment MRI.
A total of 14 T4NxM0 NPC patients with histologically proven "in field" recurrence in the post nasal space following curative intent IMRT were included in this study. Pretreatment MRI were co-registered with MRI at the time of recurrence for the delineation of gross tumor volume at diagnosis(GTV) and at recurrence(GTVr). A total of 7 histogram features and 40 texture features were computed from the recurrent(GTVr) and non-recurrent region(GTV-GTVr). Paired t-tests and Wilcoxon signed-rank tests were carried out on the 47 quantified radiomics features.
A total of 7 features were significantly different between recurrent and non-recurrent regions. Other than the variance from intensity-based histogram, the remaining six significant features were either from the gray-level size zone matrix (GLSZM) or the neighbourhood gray-tone difference matrix (NGTDM).
The radiomic features extracted from pre-treatment MRI can potentially reflect the difference between recurrent and non-recurrent regions within a tumor and has a potential role in pre-treatment identification of intra-tumoral radio-resistance for selective dose escalation.
我们假设肿瘤内的复发和非复发区域之间存在空间异质性。本研究旨在确定基于治疗前 MRI,从肿瘤内复发和非复发区域提取的放射组学特征是否存在差异。
本研究共纳入 14 例经组织学证实的接受根治性调强放疗(IMRT)后鼻后空间“场内”复发的 T4NxM0NPC 患者。治疗前 MRI 与复发时 MRI 进行配准,以勾画诊断时的大体肿瘤体积(GTV)和复发时的大体肿瘤体积(GTVr)。从复发(GTVr)和非复发区域(GTV-GTVr)计算了 7 个直方图特征和 40 个纹理特征。对 47 个定量放射组学特征进行了配对 t 检验和 Wilcoxon 符号秩检验。
复发和非复发区域之间共有 7 个特征存在显著差异。除基于强度的直方图的方差外,其余 6 个显著特征均来自灰度大小区域矩阵(GLSZM)或邻域灰度差矩阵(NGTDM)。
从治疗前 MRI 提取的放射组学特征可能反映肿瘤内复发和非复发区域之间的差异,并有可能在治疗前识别肿瘤内放射抵抗性,从而进行选择性剂量递增。