CT纹理分析在腮腺多形性腺瘤与腺淋巴瘤鉴别诊断中的价值

doi:10.13701/j.cnki.kqyxyj.2018.10.023

口腔医学研究 ›› 2018, Vol. 34 ›› Issue (10): 1127-1131.DOI: 10.13701/j.cnki.kqyxyj.2018.10.023

CT纹理分析在腮腺多形性腺瘤与腺淋巴瘤鉴别诊断中的价值

赵厚亮, 王文涛, 王伟, 徐凯^*

徐州医科大学附属医院影像科江苏徐州 221000

收稿日期:2018-03-26 出版日期:2018-10-28 发布日期:2018-10-24
通讯作者: 徐凯,E-mail:xukaixz@163.com
作者简介:赵厚亮(1989~ ),男,江苏徐州人,硕士,住院医师,主要从事骨骼肌肉领域的研究。

The Value of CT Texture Analysis in Differentiating Parotid Pleomorphic Adenoma from Adenolymphoma.

ZHAO Hou-liang, WANG Wen-tao, WANG Wei, XU Kai^*.

Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, China.

Received:2018-03-26 Online:2018-10-28 Published:2018-10-24

摘要/Abstract

摘要： 目的: 探讨CT纹理分析在鉴别腮腺多形性腺瘤与腺淋巴瘤中的诊断价值。方法: 回顾性分析通过手术病理证实的32例腮腺多形性腺瘤与28例腮腺腺淋巴瘤的CT增强图像,并对其动脉期图像进行纹理分析,分别测得其平均值、标准差、熵值、偏度、峰度及异质性等相关参数。最后,利用多参数联合鉴别腮腺多形性腺瘤与腺淋巴瘤。结果: 本研究中对腮腺多形性腺瘤与腺淋巴瘤进行纹理分析,得到各参数进行比较,可得:平均值及异质性参数在腮腺多形性腺瘤及腺淋巴瘤两组肿瘤中有较明显的统计学差异。此外,本研究对平均值、标准差、熵值等定量参数进行了多参数联合分析,对两种肿瘤的鉴别较单个参数有更明显的统计学差异。结论: CT纹理分析中平均值及异质性等参数可用于鉴别腮腺多形性腺瘤与腺淋巴瘤。

关键词: 腮腺, 多形性腺瘤, 腺淋巴瘤, 体层摄影术, X线计算机, 纹理分析

Abstract: Objective: To evaluate the value of CT texture analysis to differentiate parotid pleomorphic adenoma from adenolymphoma on enhanced computed tomography (CT) images. Methods: 32 patients with parotid pleomorphic adenoma and 28 patients with adenolymphoma were retrospective analysed. All of these cases were proved by operative pathology and underwent CT enhancement examination. Texture analysis of CT enhancement on arterial phase was performed to obtain mean, StDev, entropy, skewness, kurtosis and inhomogenity parameters. Results: In the texture snalysis, significant difference in the mean and heterogeneity between parotid pleomorphic adenoma and adenolymphoma was found. In addition, when using multiple parameters to distinguish parotid pleomorphic adenoma from adenolymphoma, the statistical difference was more significant. Conclusion: It is of significant value to combine mean and inhomogenity of texture analysis in differentiating diagnosis between parotid pleomorphic adenoma and adenolymphoma.

Key words: Parotid, Pleomorphic adenoma, Adenolymphoma, Tomography, X-raycomputed, Texture analysis

赵厚亮, 王文涛, 王伟, 徐凯. CT纹理分析在腮腺多形性腺瘤与腺淋巴瘤鉴别诊断中的价值[J]. 口腔医学研究, 2018, 34(10): 1127-1131.

ZHAO Hou-liang, WANG Wen-tao, WANG Wei, XU Kai.. The Value of CT Texture Analysis in Differentiating Parotid Pleomorphic Adenoma from Adenolymphoma.[J]. Journal of Oral Science Research, 2018, 34(10): 1127-1131.

参考文献

[1] Karz P, Hartl DM, Guerre A. Clinical Ultrasound of the salivary glands [J]. Otolaryngol Clin N Am, 2009, 42(6)∶973-1000
[2] Sriskandan N,Hannah A,Howlett DC. A study to evaluate the accuracy of ultrasound in the diagnosis of parotid lumps and to review the sonographic features of parotid lesions-results in 220 patients [J]. Clin Radiol, 2010, 65(5)∶366-372
[3] Dong Y, Wu JL, Tian M, et al. Value of MSCT in diagnosis of parotid benign tumor: analysis of 84 cases [J]. Clin Med Imaging Technol, 2007, 23 (10)∶1469-1472
[4] 董想,张昊,曾宪涛,等.腮腺肿瘤切除术后并发症对患者生活质量的影响[J].口腔医学研究,2015,31(1)∶92- 93
[5] 董鑫哲,邢立刚,于金明.肿瘤异质性的医学影像学分析及临床应用[J].中华肿瘤杂志,2013,35(2)∶81-84
[6] Tourassi GD. Journey toward computer-aided diagnosis: role of image texture analysis [J]. Radiology, 1999, 213(2)∶317-320
[7] Oeppen RS,Gibson D,Brennan PA.An update on the use of ultrasound imaging in oral and maxillofacial surgery [J]. Br J Oral Maxillofac Surg,2010,48(6)∶412-418
[8] 程玉书,周正荣,彭卫军.腮腺原发良、恶性肿瘤CT表现的比较分析[J].中国癌症杂志,2007,17(10)∶807-812
[9] 余韵,颜雨春.多层螺旋CT在鉴别腮腺良恶性肿瘤中的应用[J].安徽医科大学学报,2014,49(3)∶374-377
[10] Sristi Singh,刘珍银. 腮腺良、恶性肿瘤的CT与MRI诊断[J].临床医学工程, 2014,21(8)∶960-961
[11] 黄冠兰,徐秋华,燕山.腮腺多形性腺瘤与腺淋巴瘤的超声鉴别研究[J].中华超声影像学杂志,2013, 22(4)∶366-367
[12] 石鹏,王华,李星云,等.彩色多普勒超声对腮腺良恶性肿瘤的鉴别诊断价值[J].中国乡村医药杂志,2013,20(17)∶58-59
[13] 薛鹏,史大鹏,张伟,等.CT灌注成像及增强扫描在腮腺多形性腺瘤与腺淋巴瘤鉴别诊断中的价值[J].实用放射学杂志,2012,28(9)∶1334-1337
[14] Yerli H, Aydin E, Coskun M, et al. Dynamic multislice computed tomography findings for parotid gland tumors [J]. J Comput Assist Tomogr, 2007, 31(2)∶309-316
[15] Kim HS, Jahng GH, Ryu CW, et al. Added value and diagnostic performance of intratumoral susceptibility signals in the differential diagnosis of solitary enhancing brain lesions: preliminary study [J]. AJNR Am J Neuroradiol,2009,30(8)∶1574-1579
[16] Juntu J, Sijbers J, De Backer S, et al. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images [J]. J Magn Reson Imaging,2010,31(3)∶680-689
[17] Hodgdon T, Mcinnes MD, Schieda N, et al. Can quantitative CT texture analysis be used to differentiate fat-poor renal angiomyolipoma from renal cell carcinoma on unenhanced CT images [J]. Radiology,2015, 276(3)∶787-796

CT纹理分析在腮腺多形性腺瘤与腺淋巴瘤鉴别诊断中的价值

The Value of CT Texture Analysis in Differentiating Parotid Pleomorphic Adenoma from Adenolymphoma.

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

[1]	李昌忆, 郑凌艳. 腮腺炎症疾病的细菌学研究进展[J]. 口腔医学研究, 2020, 36(11): 996-999.
[2]	陶博强, 刘映坤, 李雨阳, 闵锋鹤, 刘慧敏, 杨之婧, 刘炜炜. 胸锁乳突肌瓣与口腔修复膜在腮腺良性肿瘤术后应用的比较分析[J]. 口腔医学研究, 2020, 36(11): 1036-1039.
[3]	洪小伟, 孙国文, 王志勇, 朱锋, 李威. 耳前扩展切口在副腮腺肿瘤切除术中的应用[J]. 口腔医学研究, 2020, 36(10): 912-914.
[4]	刘坤, 闫广鹏, 陈俊文, 高鹏, 李军. 小肠黏膜下层预防腮腺良性肿瘤术后味觉出汗综合征的疗效观察[J]. 口腔医学研究, 2019, 35(8): 772-775.
[5]	刘洪伟, 黄承明, 安林. ⁹⁹Tc^m-RBC SPECT显像在诊断颌面部脉管畸形的应用价值[J]. 口腔医学研究, 2019, 35(4): 364-367.
[6]	覃珊珊,王代友,眭斌,张岩,孙喆. 狗肝菜多糖对辐射损伤后大鼠腮腺中血管内皮生长因子的表达变化和意义[J]. 口腔医学研究, 2019, 35(2): 125-128.
[7]	张凯, 李春明. 腮腺肿瘤术后面部畸形与Frey综合征综合防治的研究进展[J]. 口腔医学研究, 2019, 35(1): 20-22.
[8]	唐学敏, 孙长华, 朱玉红, 王晶, 杨勇, 丁长玲, 左金华. 水通道蛋白5和细胞程序性死亡分子5在大鼠腮腺主导管结扎再通后表达的实验研究[J]. 口腔医学研究, 2018, 34(7): 774-779.
[9]	马丽娟, 杨兰, 王志强, 董仙, 黄英博. 腮腺区毛母质细胞瘤1例[J]. 口腔医学研究, 2018, 34(7): 798-800.
[10]	高润涛, 耿雪霏. 8例腮腺恶性淋巴瘤诊疗体会[J]. 口腔医学研究, 2017, 33(8): 870-873.
[11]	王琛, 冯雪峰, 王如. 腮腺皮脂腺癌1例[J]. 口腔医学研究, 2017, 33(7): 790-791.
[12]	曹光明, 邹智荣, 王卫红, 许彪, 曾琳. 下颌后越腮腺前缘穿咬肌入路治疗髁突低位骨折的临床研究[J]. 口腔医学研究, 2017, 33(4): 424-426.
[13]	童国勇，余周庆，戈春城. 彩超引导下的粗针穿刺活检术在腮腺肿瘤诊断中的应用[J]. 口腔医学研究, 2017, 33(3): 336-338.
[14]	杜柏兴, 尹小朋, 王冰, 刘慧, 凌彬, 姜德奇, 林兆全, 龚忠诚. RAGE与RECK在涎腺多形性腺瘤复发及恶变中的表达及意义[J]. 口腔医学研究, 2017, 33(2): 145-149.
[15]	颜兴,武鸿毅,许诺,孟岑. 放疗对小型猪腮腺颌下腺舌下腺微血管损伤影响的实验研究[J]. 口腔医学研究, 2017, 33(1): 15-18.