A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome.

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...

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Publicado en:European Radiology Vol. 27; no. 9; pp. 3991 - 4002
Autores principales: Vargas, Hebert, Veeraraghavan, Harini, Micco, Maura, Nougaret, Stephanie, Lakhman, Yulia, Meier, Andreas, Sosa, Ramon, Soslow, Robert, Levine, Douglas, Weigelt, Britta, Aghajanian, Carol, Hricak, Hedvig, Deasy, Joseph, Snyder, Alexandra, Sala, Evis, Vargas, Hebert Alberto, Meier, Andreas A, Soslow, Robert A, Levine, Douglas A
Formato: research Journal Article
Publicado: Springer Nature Sep2017
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome.
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          Vargas, Hebert
          Veeraraghavan, Harini
          Micco, Maura
          Nougaret, Stephanie
          Lakhman, Yulia
          Meier, Andreas
          Sosa, Ramon
          Soslow, Robert
          Levine, Douglas
          Weigelt, Britta
          Aghajanian, Carol
          Hricak, Hedvig
          Deasy, Joseph
          Snyder, Alexandra
          Sala, Evis
          Vargas, Hebert Alberto
          Meier, Andreas A
          Soslow, Robert A
          Levine, Douglas A
        affil: Department of Radiology , Memorial Sloan Kettering Cancer Center , 1275 York Avenue New York 10065 USA
      sug:
        subj:
          Ovarian Neoplasms Pathology
          Retrospective Design
          Gene Amplification
          Tomography, X-Ray Computed Methods
          Adult
          Nucleic Acid Amplification Techniques
          Female
          Treatment Outcomes
          Ovarian Neoplasms
          Ovarian Neoplasms Mortality
          Proteins
          Middle Age
          Aged
          Human
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Funding Source
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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