Analysis of morphological characteristics of IDH-mutant/wildtype brain tumors using whole-lesion phenotype analysis.
Analysis of morphological characteristics of IDH-mutant/wildtype brain tumors using whole-lesion phenotype analysis.
复制标题
DOI：
10.1093/noajnl/vdab088
复制
发表时间：
2021-01
期刊：
影响因子：
--
通讯作者：
Lee JW
中科院分区：
文献类型：
--
作者：
Snyder JM;Huang RY;Bai H;Rao VR;Cornes S;Barnholtz-Sloan JS;Gutman D;Fasano R;Van Meir EG;Brat D;Eschbacher J;Quackenbush J;Wen PY;Lee JW
虽然IDH突变的肿瘤聚集在额颞区，但IDH野生型肿瘤的聚集模式不太清楚。针对基于体素的病变症状标测(VLSM)在立体病变标测中的局限性，提出了一种新的整体病变表型分析(WLPA)技术。我们利用WLPA来评估来自癌症基因组图谱和癌症影像档案的IDH突变肿瘤的空间聚集性。从T1加权图像分割出的肿瘤聚集度是通过Hausdorff距离根据病变之间的相似性来衡量的。每种肿瘤根据其邻近肿瘤显示相同表型的程度进行排名，并通过排列技术确定重要的肿瘤。通过前面描述的方法应用VLSM。本文分析了244例混合级胶质瘤，其中IDH野生型150例，胶质母细胞瘤139例。VLSM确定了与IDH突变更有可能相关的额叶区域，但没有更有可能存在IDH野生型的区域。WLPA发现IDH突变型和野生型肿瘤都表现出统计意义上的空间聚集。与VLSM相比，WLPA可以提供额外的统计能力，而不会做出几个潜在的错误假设。WLPA识别最有可能表现出特定表型的肿瘤，而不是产生解剖图，并可与VLSM结合使用，以了解肿瘤形态和生物学相关的肿瘤表型之间的关系。
Although IDH-mutant tumors aggregate to the frontotemporal regions, the clustering pattern of IDH-wildtype tumors is less clear. As voxel-based lesion-symptom mapping (VLSM) has several limitations for solid lesion mapping, a new technique, whole-lesion phenotype analysis (WLPA), is developed. We utilize WLPA to assess spatial clustering of tumors with IDH mutation from The Cancer Genome Atlas and The Cancer Imaging Archive. The degree of tumor clustering segmented from T1 weighted images is measured to every other tumor by a function of lesion similarity to each other via the Hausdorff distance. Each tumor is ranked according to the degree to which its neighboring tumors show identical phenotypes, and through a permutation technique, significant tumors are determined. VLSM was applied through a previously described method. A total of 244 patients of mixed-grade gliomas (WHO II–IV) are analyzed, of which 150 were IDH-wildtype and 139 were glioblastomas. VLSM identifies frontal lobe regions that are more likely associated with the presence of IDH mutation but no regions where IDH-wildtype was more likely to be present. WLPA identifies both IDH-mutant and -wildtype tumors exhibit statistically significant spatial clustering. WLPA may provide additional statistical power when compared with VLSM without making several potentially erroneous assumptions. WLPA identifies tumors most likely to exhibit particular phenotypes, rather than producing anatomical maps, and may be used in conjunction with VLSM to understand the relationship between tumor morphology and biologically relevant tumor phenotypes.