Clinical value of quantitative parameters by spectral CT in parotid gland tumor

doi:10.7518/hxkq.2019.06.011

Abstract

Abstract:

Objective This study aimed to investigate the value of normalized iodine concentration (NIC), spectral attenuation curve slope (SACS), area under curve (AUC), and iodine concentration difference (ICD) generated from spectral CT in the assessment of parotid gland tumors.Methods Ninety-two patients with pathologically confirmed parotid gland tumors underwent arterial phase- and venous phase-enhanced CT in spectral CT. The patients were divided into the pleomorphic adenoma group (group A), Warthin tumor group (group B), basal cell tumor group (group C), and malignant tumor group (group D). The SACS, AUC, NIC, ICD were measured and analyzed. Statistical analyses were performed by one-way ANOVA, and statistical significance was set at P<0.05.Results SACS_AP, AUC_AP, and NIC_AP in group A were lower than those in other groups; SACS_VP and AUC_VP in group C were higher than those in other groups; NIC_AP and NIC_VP in group D were higher than those in other groups; and ICD in group B was a positive number. The difference in SACS_AP and AUC_APin groups B and C, SACS_VP and AUC_VP in groups C and D, and ICD in groups A and C were not statistically significant. By contrast, the difference between the other groups was statistically significant (P<0.05). The difference in NIC_APbetween groups A and B and groups C and D and the difference in NIC_VPbetween groups A and C, groups A and D, and groups B and C were statistically significant (P=0.005, 0.025, 0.002, 0.038, and 0.049, respectively).Conclusion Multi-quantitative parameters from spectral CT might be helpful in differentiating various types of parotid gland tumors.

Key words: parotid gland tumor, tomography, spectral imaging, iodine concentration

CLC Number:

R814.42

Su Lei,Xie Chenlu,Sun Qiang,Gao Jianbo. Clinical value of quantitative parameters by spectral CT in parotid gland tumor[J]. West China Journal of Stomatology, 2019, 37(6): 631-635.

Figures/Tables 5

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References 15

[1]	于世凤 . 口腔组织病理学[M]. 北京: 人民卫生出版社, 2007.
	Yu SF. Oral histopathology[M]. Beijing: People’s Medical Publishing House, 2007.
[2]	张志愿, 俞光岩 . 口腔颌面外科学[M]. 北京: 人民卫生出版社, 2012.
	Zhang ZY, Yu GY. Oral and maxillofacial surgery[M]. Beijing: People’s Medical Publishing House, 2012.
[3]	温晓玲, 沈江, 伍东升 , 等. 腮腺少见肿瘤的增强CT表现及其病理基础[J]. 华西口腔医学杂志, 2015,33(4):414-418. doi: 10.7518/hxkq.2015.04.019 URL
	Wen XL, Shen J, Wu DS , et al. Rare parotid gland tumors: enhanced computed tomography and pathological correlation[J]. West China J Stomatol, 2015,33(4):414-418. doi: 10.7518/hxkq.2015.04.019 URL
[4]	郑少燕, 曾向廷, 吴先衡 , 等. 腮腺肿瘤的MRI诊断[J]. 中国医学影像技术, 2012,28(4):647-651.
	Zheng SY, Zeng XT, Wu XH , et al. MRI manifestations ofparotid tumors[J]. Chin J Med Imaging Technol, 2012,28(4):647-651.
[5]	Zhang G, Tang J, Pan Y , et al. CT features and pathologic characteristics of lymphoepithelial carcinoma of salivary glands[J]. Int J Clin Exp Pathol, 2014,7(3):1004-1011. URL pmid: 24696717
[6]	李琦, 罗天友, 吕发金 , 等. 能谱CT定量分析在确定非小细胞肺癌病理类型中的价值[J]. 中华放射学杂志, 2017,51(4):257-261.
	Li Q, Luo TY, Lü FJ , et al. The value of quantitative analysis with spectral CT imaging in the diagnosis of non-small cell lungcancer with different pathological types[J]. Chin J Radiol, 2017,51(4):257-261.
[7]	柴亚如, 高剑波, 邢静静 , 等. 能谱CT定量参数对胃癌淋巴结的定性评估价值[J]. 中华胃肠外科杂志, 2017,20(3):309-314.
	Chai YR, Gao JB, Xing JJ , et al. Preoperative assessment value of spectral CT quantitative parameters in lymph node metastasis of gastric cancer[J]. Chin J Gastrointest Surg, 2017,20(3):309-314.
[8]	邢古生, 王爽, 李忱瑞 , 等. 宝石能谱CT成像碘含量测定法在肝细胞癌患者经动脉化疗栓塞术后随访中的应用[J]. 中华肿瘤杂志, 2015,37(3):208-212.
	Xing GS, Wang S, Li CR , et al. Value of quantitative iodine-based material decomposition images with gemstone spectral CT imaging in the follow-up of patients with hepatocellular carcinoma after TACE treatment[J]. Chin J Oncol, 2015,37(3):208-212.
[9]	林晓珠, 沈云, 陈克敏 , 等. CT能谱成像的基本原理与临床应用研究进展[J]. 中华放射学杂志, 2011,45(8):798-800.
	Lin XZ, Shen Y, Chen KM , et al. Spectral CT imaging: principle, clinical application and research[J]. Chin J Radiol, 2011,45(8):798-800.
[10]	王芳, 高剑波, 梁盼 . CT能谱曲线及碘含量测定在早期胃癌诊断中的应用价值[J]. 中华胃肠外科杂志, 2015,18(3):243-247.
	Wang F, Gao JB, Liang P . Application value of CT spectrum curve and iodine measurement in the early diagnosis of gastric cancer[J]. Chin J Gastrointest Surg, 2015,18(3):243-247.
[11]	靳晓媛, 刘斌, 李红文 , 等. 能谱CT鉴别诊断腮腺良恶性肿瘤[J]. 中国医学影像技术, 2015,31(3):367-371.
	Jin XY, Liu B, Li HW , et al. Spectral CT imaging in diagnosis of benign and malignant parotid tumors[J]. Chin J Med Imaging Technol, 2015,31(3):367-371.
[12]	郭仲杰 . 能谱CT鉴别诊断腮腺良恶性肿瘤的价值分析[J]. 现代医用影像学, 2017,26(4):887-889.
	Guo ZJ . Analysis of differential diagnosis of parotid gland benign and malignant tumors byenergy spectrum CT[J]. Modern Med Imagel, 2017,26(4):887-889.
[13]	畅智慧, 刘兆玉, 孙洪赞 , 等. 64层螺旋CT多期动态增强扫描诊断腮腺常见肿瘤[J]. 中国医学影像技术, 2008,24(9):1394-1397.
	Chang ZH, Liu ZY, Sun HZ , et al. Value of 64-slice dynamic contrast-enhanced CT in diagnosis of common parotid tumors[J]. Chin J Med Imaging Technol, 2008,24(9):1394-1397.
[14]	Ding J, Wang W, Peng W , et al. MRI and CT imaging characteristics of myoepithelioma of the parotid gland[J]. Acta Radiol, 2016,57(7):837-843. doi: 10.1177/0284185115609364 URL pmid: 26508793
[15]	解晨露 . CT能谱成像对腮腺肿瘤鉴别诊断价值的初步研究[D]. 郑州: 郑州大学, 2017.
	Xie CL . Preliminary study on the value of CT energy spectrum imaging in the differential diagnosis of parotid gland tumors[D]. Zhengzhou: Zhengzhou University, 2017.

组别	SACS_AP	SACS_VP	AUC_AP	AUC_VP	NIC_AP	NIC_VP	ICD
A组	0.53±0.22	2.10±0.63	287±28	884±111	0.02±0.05	0.27±0.14	-8.51±5.62
B组	2.11±0.55	1.48±0.48	901±90	602±48	0.10±0.05	0.21±0.13	1.92±2.29
C组	1.82±0.66	3.24±0.58	870±92	1 471±142	0.09±0.05	0.39±0.15	-7.71±3.18
D组	1.19±0.53	3.11±1.40	485±58	1 398±141	0.15±0.19	0.48±0.07	-2.68±1.83
F值	29.47	6.75	24.65	7.02	17.68	8.93	16.76
P值	0.000	0.001	0.000	0.001	0.000	0.000	0.000