MRI纹理分析对直肠癌术前T分期诊断及与肿瘤分化程度关系

doi:10.7517/issn.1674-0475.210906

影像科学与光化学 ›› 2022, Vol. 40 ›› Issue (2): 296-300.DOI: 10.7517/issn.1674-0475.210906

MRI纹理分析对直肠癌术前T分期诊断及与肿瘤分化程度关系

张益兰¹, 史讯², 张慧丽¹, 许凤¹, 董丛松³

1. 江苏医药职业学院, 江苏盐城 224005;
2. 盐城市第一人民医院, 江苏盐城 224007;
3. 盐城市第三人民医院, 江苏盐城 224008

收稿日期:2021-09-15 出版日期:2022-03-15 发布日期:2022-03-08
通讯作者: 史讯

Preoperative T Staging of Rectal Cancer Diagnosed by MRI Texture Analysis and Its Relationship with Tumor Differentiation

ZHANG Yilan¹, SHI Xun², ZHANG Huili¹, XU Feng¹, DONG Congsong³

1. Jiangsu Vocational College of Medicine, Yancheng 224005, Jiangsu, P. R. China;
2. Yancheng No. 1 People's Hospital, Yancheng 224007, Jiangsu, P. R. China;
3. Yancheng Third People's Hospital, Yancheng 224008, Jiangsu, P. R. China

Received:2021-09-15 Online:2022-03-15 Published:2022-03-08

摘要/Abstract

摘要： 探究MRI纹理分析在直肠癌术前T分期诊断中的价值及与肿瘤分化程度的关系。选取72例直肠癌患者作为研究对象,均行MRI纹理分析。结果显示,MRI纹理参数均值、对比度、自相关、熵、方差和均为直肠癌术前T分期影响因素,各参数联合诊断直肠癌术前T分期AUC为0.951,较单一参数有明显提高;直肠癌不同肿瘤分化程度患者MRI纹理参数存在明显差异,均值、自相关、熵、方差和与肿瘤分化程度呈负相关,对比度与肿瘤分化程度呈正相关(P<0.05)。MRI纹理参数均值、对比度、自相关、熵、方差和是直肠癌术前T期影响因素,可用于T分期诊断,且与肿瘤分化程度有关。

关键词: 磁共振成像, 纹理分析, 直肠癌, 术前, T分期, 分化程度

Abstract: This study explored the value of MRI texture analysis in the preoperative T staging diagnosis of rectal cancer and its relationship with the degree of tumor differentiation. Seventy-two patients with rectal cancer were selected as the research objects, and MRI texture analysis was performed. The results showed that the mean value of MRI texture parameters, contrast, autocorrelation, entropy, variance, and preoperative T staging of rectal cancer were all influencing factors. The preoperative T staging AUC of each parameter in the combined diagnosis of rectal cancer was 0.951, which was significantly higher than that of a single parameter. The MRI texture parameters of patients with different tumor differentiation levels are significantly different. The mean, autocorrelation, entropy, variance and the tumor differentiation are negatively correlated, and the contrast is positively correlated with the tumor differentiation (P<0.05). The mean value of MRI texture parameters, contrast, autocorrelation, entropy, and variance are the influencing factors of preoperative T stage of rectal cancer, which can be used for the diagnosis of T stage and are related to the degree of tumor differentiation.

Key words: magnetic resonance imaging, texture analysis, rectal cancer, preoperative, T staging, degree of differentiation

张益兰, 史讯, 张慧丽, 许凤, 董丛松. MRI纹理分析对直肠癌术前T分期诊断及与肿瘤分化程度关系[J]. 影像科学与光化学, 2022, 40(2): 296-300.

ZHANG Yilan, SHI Xun, ZHANG Huili, XU Feng, DONG Congsong. Preoperative T Staging of Rectal Cancer Diagnosed by MRI Texture Analysis and Its Relationship with Tumor Differentiation[J]. IMAGING SCIENCE AND PHOTOCHEMISTRY, 2022, 40(2): 296-300.

参考文献

[1] Chen W Q,Zheng R S,Baade P D,et al. Cancer statistics in China,2015[J]. CA:A Cancer Journal for Clinicians,2016,66(2):115-132.
[2] 谭晶文,朱兰,王兰,等. 新型双层探测器光谱CT在直肠癌术前T分期中的价值[J]. 中华放射学杂志,2020,54(7):671-676.
[3] Xu L P,Zhang C,Zhang Z Y,et al. Value of 3 Tesla MRI in the preoperative staging of mid-low rectal cancer and its impact on clinical strategies[J]. Asia-Pacific Journal of Clinical Oncology,2020,16(5):e216-e222.
[4] 任圣会,孙晓峰,王权,等. 直肠腔内超声与MRI检查对直肠癌术前T分期及环周切缘的评估价值[J]. 中华消化外科杂志,2019,18(1):96-101.
[5] Caruso D,Zerunian M,Ciolina M,et al. Haralick's texture features for the prediction of response to therapy in colorectal cancer:A preliminary study[J]. La Radiologia Medica,2018,123(3):161-167.
[6] Gourtsoyianni S,Doumou G,Prezzi D,et al. Primary rectal cancer:Repeatability of global and local-regional MR imaging texture features[J]. Radiology,2017,284(2):552-561.
[7] 周彦汝,王长福. MRI图像纹理分析在直肠癌术前分期中的应用价值[J]. 临床放射学杂志,2019,38(7):1343-1345.
[8] 卫生部医政司,结直肠癌诊疗规范专家工作组. 结直肠癌诊疗规范(2010年版)[J]. 中华胃肠外科杂志,2010,13(11):865-875.
[9] 欧文,胡宇,阮俊. 超声内镜联合MSCT检查对结直肠癌术前TNM分期诊断价值研究[J]. 中国CT和MRI杂志,2021,19(1):167-168,174.
[10] Korfiatis P,Kline T L,Coufalova L,et al. MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas[J]. Medical Physics,2016,43(6):2835-2844.
[11] 王卉,胡云婷,谢元亮,等. 基于DCE-MRI纹理分析鉴别雌激素受体阳性乳腺癌亚型的初步研究[J]. 实用医学杂志,2020,36(2):244-248.
[12] 张宏江,毕国力,李洪亮,等. MRI纹理分析评价前列腺癌Gleason评分7分肿瘤异质性的初步研究[J]. 实用放射学杂志,2019,35(11):1794-1796,1820.
[13] Liu L H,Liu Y H,Xu L,et al. Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer[J]. Journal of Magnetic Resonance Imaging,2017,45(6):1798-1808.
[14] 韩哲,邵国良,庞佩佩. 动态增强MRI纹理分析预测局部进展期直肠癌新辅助放化疗完全缓解的研究[J]. 现代实用医学,2019,31(7):901-903.
[15] 钟红霞. MRI纹理分析在预测直肠癌NCRT疗效、TN分期、神经脉管侵犯方面的作用[D]. 北京:北京协和医学院,2017.
[16] de Cecco C N,Ciolina M,Caruso D,et al. Performance of diffusion-weighted imaging,perfusion imaging,and texture analysis in predicting tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3T MR:Initial experience[J]. Abdominal Radiology,2016,41(9):1728-1735.
[17] 周彦汝. MRI图像纹理分析对直肠癌T分期的应用价值研究[D]. 开封:河南大学,2019.
[18] 李奎德,陈海霞,蒋瑾,等. 磁共振扩散加权成像感兴趣区的选择在直肠癌术前分化程度和淋巴结转移评估中的应用价值[J]. 临床放射学杂志,2020,39(2):341-345.
[19] 舒震宇,方松华,丁忠祥,等. 磁共振纹理分析技术在预测直肠癌新辅助放化疗疗效中的应用价值[J]. 中华胃肠外科杂志,2018,21(9):1051-1058.

MRI纹理分析对直肠癌术前T分期诊断及与肿瘤分化程度关系

Preoperative T Staging of Rectal Cancer Diagnosed by MRI Texture Analysis and Its Relationship with Tumor Differentiation

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	黄国飚, 郑颖, 范先毅, 陈春兵. CS-3D MERGE技术评估急性脑梗死及颈动脉粥样硬化的价值观察[J]. 影像科学与光化学, 2022, 40(3): 540-544.
[2]	侯凤香, 黄兴全. MRI检查中家长参与型干预对婴幼依从性及图像质量的影响[J]. 影像科学与光化学, 2022, 40(3): 574-578.
[3]	张泳, 王旭. 核磁共振评估胎儿中枢神经系统及椎体发育情况[J]. 影像科学与光化学, 2022, 40(3): 606-609.
[4]	周悦, 齐恩林, 吕士英, 姜立杰. MRI评价脑卒中伴T2DM患者颈动脉粥样硬化斑块的研究[J]. 影像科学与光化学, 2022, 40(3): 636-640.
[5]	秦佳敏, 刘广国, 王宏. MSCT在胃癌分期诊断及化疗疗效预测中的应用[J]. 影像科学与光化学, 2022, 40(3): 651-654.
[6]	李燕, 赵海龙, 李伟, 赵丹. MRI对运动性半月板损伤的诊断及术后康复效果的评估[J]. 影像科学与光化学, 2022, 40(3): 675-679.
[7]	朱超, 马一鸣. MRI在运动致踝骨骨折术前检查及术后管理中的应用[J]. 影像科学与光化学, 2022, 40(3): 690-695.
[8]	吴梦飞, 薛旭成, 兰太吉, 徐鑫伟. 基于梯度场变换的MRI图像增强方法[J]. 影像科学与光化学, 2022, 40(2): 225-231.
[9]	张晓洁, 李娜, 杨芳, 侯倩倩, 李玲玲, 蔡红许. ¹⁸F-FDG PET/CT技术评价T2DM对晚期结直肠癌患者PD-L1治疗疗效的影响[J]. 影像科学与光化学, 2022, 40(2): 237-242.
[10]	柏拉拉, 杨伟, 周淼, 黄国飚. 带状疱疹后神经痛患者脑功能和结构改变的磁共振成像研究[J]. 影像科学与光化学, 2022, 40(2): 286-290.
[11]	杜英杰, 李晓军, 王玉满. OLIF联合后路固定术治疗腰椎滑脱椎管狭窄患者的CT、MRI观察[J]. 影像科学与光化学, 2022, 40(2): 325-330.
[12]	张炜, 刘倩芸, 张洋. CTA联合CDFI在股前外穿支皮瓣修复软组织损伤中的应用[J]. 影像科学与光化学, 2022, 40(2): 353-356.
[13]	李峰, 邵继春, 杨剑波, 石波. 超声造影对膀胱占位性病变的诊断及相关分析[J]. 影像科学与光化学, 2022, 40(2): 372-376.
[14]	孙炜, 韩友东. MRI在尺骨撞击综合征中的诊断及与腕关节镜的一致性研究[J]. 影像科学与光化学, 2022, 40(2): 387-391.
[15]	靳莉丹, 申瑞田. 三维CT联合MRI分析膝关节ACL损伤重建术后移植物、周围结构与膝关节稳定性关系[J]. 影像科学与光化学, 2022, 40(2): 418-423.