Literature DB >> 25793653

Texture Analysis of Non-Contrast-Enhanced Computed Tomography for Assessing Angiogenesis and Survival of Soft Tissue Sarcoma.

Koichi Hayano1, Fang Tian, Avinash R Kambadakone, Sam S Yoon, Dan G Duda, Balaji Ganeshan, Dushyant V Sahani.   

Abstract

OBJECTIVE: To evaluate the role of computed tomographic (CT) texture analysis in assessing tumor angiogenesis and survival of soft tissue sarcoma (STS).
METHODS: In 20 patients with STSs, tumor texture parameters, which were measured on pretherapeutic CT using CT texture analysis software with the spatial scale filter extracting fine to coarse texture, were compared with microvessel density, plasma vascular endothelial growth factor (VEGF), soluble VEGF receptor-1, and overall survival (OS).
RESULTS: Mean of positive pixels (MPP) showed a positive correlation with microvessel density (P = 0.02). Entropy at medium texture scales (spatial scale filter = 3, 4, 5) showed positive correlations with VEGF (P = 0.03, P = 0.009, and P = 0.02, respectively), and entropy without filtration showed a positive correlation with soluble VEGF receptor-1 (P = 0.02). In the univariate analysis, kurtosis at a medium texture scale and MPP showed significant correlations with OS (P = 0.04 and P = 0.007), and multivariate analysis demonstrated that MPP was an independent prognostic factor (P = 0.01).
CONCLUSION: Texture parameters are associated with tumor angiogenesis and OS in STS.

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Year:  2015        PMID: 25793653      PMCID: PMC4504795          DOI: 10.1097/RCT.0000000000000239

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  34 in total

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