Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer

IF 2.9 4区医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Annals of Gastroenterological Surgery Pub Date : 2024-08-26 DOI:10.1002/ags3.12852

Hisashi Mamiya, Toru Tochigi, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Tetsuro Maruyama, Yoshihiro Kurata, Yumiko Takahashi, Atsushi Hirata, Hisahiro Matsubara

{"title":"Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer","authors":"Hisashi Mamiya, Toru Tochigi, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Tetsuro Maruyama, Yoshihiro Kurata, Yumiko Takahashi, Atsushi Hirata, Hisahiro Matsubara","doi":"10.1002/ags3.12852","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC).</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This retrospective study investigated 263 patients with CRC who underwent contrast-enhanced CTC (CE-CTC) before curative surgery between January 2014 and December 2017. Multiple texture analyses (fractal, histogram, and gray-level co-occurrence matrix [GLCM] texture analyses) were applied to CE-CTC (portal-venous phase), and fractal dimension (FD), skewness, kurtosis, entropy, and GLCM texture parameters, including GLCM-correlation, GLCM-autocorrelation, GLCM-entropy, and GLCM-homogeneity, of the tumor were calculated. These texture parameters were compared with pathological factors (tumor depth, lymph node metastasis, vascular invasion, and lymphatic invasion) and overall survival (OS).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Tumor depth was significantly associated with FD, kurtosis, entropy, GLCM-correlation, GLCM-autocorrelation, GLCM-entropy, and GLCM-homogeneity (<i>p</i> = 0.001, 0.001, 0.001, 0.001, 0.018, 0.008, and 0.001, respectively); lymph node metastasis was associated with GLCM-homogeneity (<i>p</i> = 0.004); lymphatic invasion was associated with GLCM-correlation and GLCM-homogeneity (<i>p</i> = 0.001 and 0.012, respectively); and venous invasion was associated with FD, entropy, GLCM-correlation, GLCM-autocorrelation, and GLCM-entropy of the tumor (<i>p</i> = 0.001, 0.033, 0.021, 0.046, respectively). In the Kaplan–Meier analysis, patients with high GLCM-correlation tumors or high GLCM-homogeneity tumors showed a significantly worse OS than others (<i>p</i> = 0.001 and 0.04, respectively). Multivariate analyses showed that the GLCM correlation was an independent prognostic factor for the OS (<i>p</i> = 0.021).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>CE-CTC-derived texture parameters may be clinically useful biomarkers for managing CRC patients.</p>\n </section>\n </div>","PeriodicalId":8030,"journal":{"name":"Annals of Gastroenterological Surgery","volume":"9 1","pages":"145-152"},"PeriodicalIF":2.9000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11693556/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Gastroenterological Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ags3.12852","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker for colorectal cancer (CRC).

Methods

This retrospective study investigated 263 patients with CRC who underwent contrast-enhanced CTC (CE-CTC) before curative surgery between January 2014 and December 2017. Multiple texture analyses (fractal, histogram, and gray-level co-occurrence matrix [GLCM] texture analyses) were applied to CE-CTC (portal-venous phase), and fractal dimension (FD), skewness, kurtosis, entropy, and GLCM texture parameters, including GLCM-correlation, GLCM-autocorrelation, GLCM-entropy, and GLCM-homogeneity, of the tumor were calculated. These texture parameters were compared with pathological factors (tumor depth, lymph node metastasis, vascular invasion, and lymphatic invasion) and overall survival (OS).

Results

Tumor depth was significantly associated with FD, kurtosis, entropy, GLCM-correlation, GLCM-autocorrelation, GLCM-entropy, and GLCM-homogeneity (p = 0.001, 0.001, 0.001, 0.001, 0.018, 0.008, and 0.001, respectively); lymph node metastasis was associated with GLCM-homogeneity (p = 0.004); lymphatic invasion was associated with GLCM-correlation and GLCM-homogeneity (p = 0.001 and 0.012, respectively); and venous invasion was associated with FD, entropy, GLCM-correlation, GLCM-autocorrelation, and GLCM-entropy of the tumor (p = 0.001, 0.033, 0.021, 0.046, respectively). In the Kaplan–Meier analysis, patients with high GLCM-correlation tumors or high GLCM-homogeneity tumors showed a significantly worse OS than others (p = 0.001 and 0.04, respectively). Multivariate analyses showed that the GLCM correlation was an independent prognostic factor for the OS (p = 0.021).

Conclusion

CE-CTC-derived texture parameters may be clinically useful biomarkers for managing CRC patients.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

CT结肠镜的纹理分析为结直肠癌的治疗开发一种新的成像生物标志物。

背景：近年来的研究主要集中在评估放射图像中纹理特征的生物标志物价值。我们的研究探讨了计算机断层结肠镜（CTC）图像的纹理分析是否可能成为结直肠癌（CRC）的一种新的生物标志物。方法：本回顾性研究调查了2014年1月至2017年12月期间在根治性手术前接受对比增强CTC （CE-CTC）的263例结直肠癌患者。对CE-CTC（门静脉相）进行多重纹理分析（分形、直方图和灰度共生矩阵[GLCM]纹理分析），计算肿瘤的分形维数（FD）、偏度、峰度、熵和GLCM纹理参数，包括GLCM相关性、GLCM自相关性、GLCM熵和GLCM均匀性。比较这些纹理参数的病理因素（肿瘤深度、淋巴结转移、血管浸润和淋巴浸润）和总生存期（OS）。结果：肿瘤深度与FD、峰度、熵、glcm相关性、glcm自相关性、glcm熵和glcm均匀性显著相关（p分别为0.001、0.001、0.001、0.001、0.018、0.008和0.001）；淋巴结转移与glcm均匀性相关（p = 0.004）；淋巴浸润与glcm相关性和glcm同质性相关（p分别为0.001和0.012）；与肿瘤的FD、熵、glcm相关性、glcm自相关性、glcm熵相关（p分别为0.001、0.033、0.021、0.046）。Kaplan-Meier分析显示，glcm相关性高或glcm同质性高的肿瘤患者的OS明显差于其他患者（p分别为0.001和0.04）。多因素分析显示，GLCM相关性是OS的独立预后因素（p = 0.021）。结论：ce - ctc衍生的结构参数可能是临床治疗结直肠癌患者有用的生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊