Differential diagnosis between parotid pleomorphic adenoma and basal cell adenoma based on CT-enhanced histogram analysis

IF 2.1 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
L. Han, M. Ma, H. Liu, Q. Zhang, Y. Zhang, X. Liu, X. Wu
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引用次数: 0

Abstract

Aim

To explore the application value of differentiating pleomorphic adenoma (PA) of parotid gland from basal cell adenoma (BCA) based on computed tomography (CT)-enhanced histogram parameters.

Materials and Methods

This retrospective study included 55 patients with PA and 35 patients with BCA confirmed by surgery and pathology. All patients underwent noncontrast CT and dual phase CT-enhanced scan. FireVoxel software was used to delineate the tumour parenchyma and perform histogram analysis, obtaining nine histogram parameters: mean, variance, skewness, kurtosis, and the 1st, 10th, 50th, 90th, and 99th percentiles. To compare the differences of histogram parameters between PA and BCA groups in parotid gland, and draw receiver operating characteristic (ROC) curve to analyse the diagnostic efficiency of histogram parameters in differentiating PA from BCA.

Results

The 1st percentile of noncontrast, mean of arterial phase, variance of arterial phase, 10th, 50th, 90th and 99th percentile of arterial phase and mean of venous phase were significantly higher in the BCA group compared with the PA group (P<0.05). ROC curve analysis showed that arterial phase histogram parameters exhibited better diagnostic efficiency in distinguishing PA from BCA when compared with noncontrast, arterial phase and venous phase. Among them, the 90th percentile of arterial phase has the best differential diagnosis efficiency. When the cutoff value is 132.00 × 10−6 mm2/s, the area under the curve is 0.876, the sensitivity and specificity of distinguishing PA from BCA are 90.50% and 84.00%, respectively.

Conclusion

CT-enhanced histogram analysis demonstrates diagnostic value in differentiating PA from BCA and may contribute to optimised clinical decision-making.
基于ct增强直方图分析的腮腺多形性腺瘤与基底细胞腺瘤鉴别诊断
目的探讨基于CT增强直方图参数鉴别腮腺多形性腺瘤(PA)与基底细胞腺瘤(BCA)的应用价值。材料与方法回顾性研究55例PA患者和35例经手术及病理证实的BCA患者。所有患者均行非对比CT和双期CT增强扫描。采用FireVoxel软件圈定肿瘤实质并进行直方图分析,获得9个直方图参数:均值、方差、偏度、峰度以及第1、10、50、90、99百分位。比较腮腺PA组与BCA组直方图参数的差异,绘制受试者工作特征(ROC)曲线,分析直方图参数对PA与BCA的诊断效果。结果BCA组非对比第1百分位、动脉期均值、动脉期方差、动脉期第10、50、90、99百分位及静脉期均值均显著高于PA组(p < 0.05)。ROC曲线分析显示,动脉期直方图参数与非对比期、动脉期和静脉期相比,对PA和BCA的诊断效率更高。其中,动脉期第90百分位的鉴别诊断效率最高。截止值为132.00 × 10−6 mm2/s时,曲线下面积为0.876,区分PA和BCA的敏感性和特异性分别为90.50%和84.00%。结论ct增强直方图分析对PA与BCA的鉴别具有一定的诊断价值,有助于优化临床决策。
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来源期刊
Clinical radiology
Clinical radiology 医学-核医学
CiteScore
4.70
自引率
3.80%
发文量
528
审稿时长
76 days
期刊介绍: Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including: • Computed tomography • Magnetic resonance imaging • Ultrasonography • Digital radiology • Interventional radiology • Radiography • Nuclear medicine Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.
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