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非增强计算机断层扫描对软组织肉瘤血管生成和生存评估的纹理分析

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

作者信息

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

机构信息

From the *Division of Abdominal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA; †Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China; ‡Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY; §Steele Laboratory, Massachusetts General Hospital, Boston, MA; and ∥Institute of Nuclear Medicine, University College London, UK.

出版信息

J Comput Assist Tomogr. 2015 Jul-Aug;39(4):607-12. doi: 10.1097/RCT.0000000000000239.

DOI:10.1097/RCT.0000000000000239
PMID:25793653
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4504795/
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.

摘要

目的

评估计算机断层扫描(CT)纹理分析在评估软组织肉瘤(STS)肿瘤血管生成及生存情况中的作用。

方法

对20例STS患者,使用带有从精细到粗糙纹理提取的空间尺度滤波器的CT纹理分析软件,在治疗前CT上测量肿瘤纹理参数,并与微血管密度、血浆血管内皮生长因子(VEGF)、可溶性VEGF受体-1及总生存期(OS)进行比较。

结果

阳性像素均值(MPP)与微血管密度呈正相关(P = 0.02)。中等纹理尺度(空间尺度滤波器=3、4、5)下的熵与VEGF呈正相关(分别为P = 0.03、P = 0.009和P = 0.02),未过滤的熵与可溶性VEGF受体-1呈正相关(P = 0.02)。单因素分析中,中等纹理尺度下的峰度和MPP与OS显著相关(P = 0.04和P = 0.007),多因素分析表明MPP是独立的预后因素(P = 0.01)。

结论

纹理参数与STS中的肿瘤血管生成及OS相关。