Diagnostic value of tumor blood flow and its histogram analysis obtained with pCASL to differentiate sinonasal malignant lymphoma from squamous cell carcinoma
Diagnostic value of tumor blood flow and its histogram analysis obtained with pCASL to differentiate sinonasal malignant lymphoma from squamous cell carcinoma
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DOI：
10.1016/j.ejrad.2015.07.026
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发表时间：
2015-11-01
影响因子：
3.3
通讯作者：
Shirato, Hiroki
中科院分区：
文献类型：
--
作者：
Fujima, Noriyuki;Kameda, Hiroyuki;Shirato, Hiroki
目的：探讨伪连续动脉自旋标记(PCASL)测量的肿瘤血流量(TBF)对鉴别鼻腔鳞状细胞癌(SCC)和恶性淋巴瘤(ML)的价值。从pCASL数据中利用全肿瘤感兴趣区(ROI)获得定量的TBF值。通过计算变异系数(CV)、峰度和偏度，对肿瘤ROI内的TBF值进行直方图分析。比较SCC患者与ML患者的平均TBF值、直方图变异系数、峰度和偏度。通过受试者工作特征(ROC)曲线分析，计算鉴别SCC与ML的诊断准确率。结果：SCC组与ML组的平均TBF、CV和峰度差异有统计学意义，但偏度差异无统计学意义。在ROC曲线分析中，平均TBF、CV和峰度对SCC和ML的鉴别诊断准确率均为0.87。多因素Logistic回归分析显示，TBF和CV分别是独立的预测价值。结论：pCASL获得的TBF值及其直方图分析有助于SCC与ML的鉴别。(C)2015爱思唯尔爱尔兰有限公司。保留所有权利。
Objectives: To investigate the diagnostic value of tumor blood flow (TBF) obtained with pseudocontinuous arterial spin labeling (pCASL) for the differentiation of squamous cell carcinoma (SCC) and malignant lymphoma (ML) in the nasal or sinonasal cavity.Methods: Thirty-three patients with SCC and 6 patients with ML in the nasal or sinonasal cavity were retrospectively analyzed. Quantitative TBF values were obtained using whole-tumor region of interest (ROI) from pCASL data. The histogram analysis of TBF values within the tumor ROI was also performed by calculating the coefficient of variation (CV), kurtosis, and skewness. The mean TBF value, histogram CV, kurtosis and skewness of the patients with SCC were compared with those of the ML patients. The diagnostic accuracy to differentiate SCC from ML was also calculated by receiver operating characteristic (ROC) curve analysis. In addition, multiple logistic regression models were also performed to determine their independent predictive value, and diagnostic accuracy with the combined use of these parameters.Results: Between the SCC and ML groups, significant differences were observed in mean TBF, CV, and kurtosis, but not in skewness. In ROC curve analysis, the diagnostic accuracy values for the differentiation of SCC from ML in mean TBF, CV, and kurtosis were all 0.87, respectively. Multiple logistic regression models revealed TBF and CV were respectively independent predictive value. With the combination of these parameters, the diagnostic accuracy was elevated to 0.97.Conclusions: The TBF value and its histogram analysis obtained with pCASL can help differentiate SCC and ML. (C) 2015 Elsevier Ireland Ltd. All rights reserved.