A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome
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DOI：
10.1007/s00330-017-4779-y
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发表时间：
2017-09-01
影响因子：
5.9
通讯作者：
Sala, Evis
中科院分区：
文献类型：
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作者：
Vargas, Hebert Alberto;Veeraraghavan, Harini;Sala, Evis
旨在评估高级别浆液性卵巢癌 (HGSOC) 患者 CT 上多个转移病灶的临床结果与放射组学衍生的位点间空间异质性指标之间的关联。IRB 批准的针对 38 名 HGSOC 患者的回顾性研究。术前 CT 上怀疑 HGSOC 参与的所有部位均进行手动分割。从每个肿瘤部位计算基于灰度相关矩阵的纹理，并使用高斯混合模型将其分为五个簇。计算成对的站点间相似度，生成站点间相似度矩阵（ISM）。根据 ISM 计算站点间纹理异质性指标，并与临床结果进行比较。在评估的 12 个站点间纹理异质性指标中，那些捕获站点间纹理相似性差异的指标与较短的总体生存期相关（站点间相似性熵、相似性水平聚类阴影和站点间相似性水平聚类显着性；p
To evaluate the associations between clinical outcomes and radiomics-derived inter-site spatial heterogeneity metrics across multiple metastatic lesions on CT in patients with high-grade serous ovarian cancer (HGSOC).IRB-approved retrospective study of 38 HGSOC patients. All sites of suspected HGSOC involvement on preoperative CT were manually segmented. Gray-level correlation matrix-based textures were computed from each tumour site, and grouped into five clusters using a Gaussian Mixture Model. Pairwise inter-site similarities were computed, generating an inter-site similarity matrix (ISM). Inter-site texture heterogeneity metrics were computed from the ISM and compared to clinical outcomes.Of the 12 inter-site texture heterogeneity metrics evaluated, those capturing the differences in texture similarities across sites were associated with shorter overall survival (inter-site similarity entropy, similarity level cluster shade, and inter-site similarity level cluster prominence; p