| Added by | mollevi |
|---|---|
| Group name | EquipeMY |
| Item Type | Journal Article |
| Title | A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome |
| Creator | Vargas et al. |
| Author | Hebert Alberto Vargas |
| Author | Harini Veeraraghavan |
| Author | Stephanie Nougaret |
| Author | Yulia Lakhman |
| Author | Andreas A. Meier |
| Author | Ramon Sosa |
| Author | Robert A. Soslow |
| Author | Douglas A. Levine |
| Author | Britta Weigelt |
| Author | Carol Aghajanian |
| Author | Hedvig Hricak |
| Author | Joseph Deasy |
| Author | Alexandra Snyder |
| Author | Evis Sala |
| Abstract | PURPOSE: 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). METHODS: 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. RESULTS: 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???0.05) and incomplete surgical resection (similarity level cluster shade, inter-site similarity level cluster prominence and inter-site cluster variance; p???0.05). Neither the total number of disease sites per patient nor the overall tumour volume per patient was associated with overall survival. Amplification of 19q12 involving cyclin E1 gene (CCNE1) predominantly occurred in patients with more heterogeneous inter-site textures. CONCLUSION: Quantitative metrics non-invasively capturing spatial inter-site heterogeneity may predict outcomes in patients with HGSOC. KEY POINTS: ? Calculating inter-site texture-based heterogeneity metrics was feasible ? Metrics capturing texture similarities across HGSOC sites were associated with overall survival ? Heterogeneity metrics were also associated with incomplete surgical resection of HGSOC. |
| Publication | European Radiology |
| Volume | 27 |
| Issue | 9 |
| Pages | 3991-4001 |
| Date | Sep 2017 |
| Journal Abbr | Eur Radiol |
| Language | eng |
| DOI | 10.1007/s00330-017-4779-y |
| ISSN | 1432-1084 |
| Library Catalog | PubMed |
| Extra | PMID: 28289945 PMCID: PMC5545058 |
| Tags | Adult, Aged, clinic, Cyclin E, Female, Gene Amplification, Humans, Middle Aged, Nucleic Acid Amplification Techniques, Oncogene Proteins, Ovarian cancer, Ovarian Neoplasms, Radiogenomics, Radiomics, Retrospective Studies, Survival, Texture, Tomography, X-Ray Computed, Treatment Outcome |
| Date Added | 2018/11/13 - 17:35:21 |
| Date Modified | 2019/05/21 - 13:30:24 |
Institut de Recherche en Cancérologie de
