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首页> 外文期刊>European radiology >The clinical value of texture analysis of dual-time-point F-18-FDG-PET/CT imaging to differentiate between F-18-FDG-avid benign and malignant pulmonary lesions
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The clinical value of texture analysis of dual-time-point F-18-FDG-PET/CT imaging to differentiate between F-18-FDG-avid benign and malignant pulmonary lesions

机译:双时点F-18-FDG-PET / CT成像纹理分析的临床价值区分F-18-FDG-Avid-Avid和恶性肺病变

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Objectives To examine whether the texture analysis of dual-time-point (DTP) F-18-fluorodeoxyglucose (F-18-FDG)-PET/CT imaging can differentiate between F-18-FDG-avid benign and malignant pulmonary lesions. Methods We compared standardized uptake value (SUV)-related (SUVmax [g/ml] and SUVmean [g/ml]), volumetric (metabolic tumor volume [MTV] [cm(3)] and total lesion glycolysis [TLG] [g]), and texture (entropy, homogeneity, dissimilarity, intensity variability [IV], size-zone variability [SZV], and zone percentage [ZP]) (MTV >= 5.0 cm(3) and SUV >= 2.5 g/ml) parameters between 13 benign and 46 malignant lesions using the Mann-Whitney U test. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis. Stepwise logistic regression analysis was performed to identify and use the independent variables that correctly differentiate between benign and malignant lesions. Results Malignant pulmonary lesions showed significantly higher SUVmax, SUVmean, MTV, TLG, entropy, dissimilarity, IV, and SZV and significantly lower homogeneity and ZP than benign pulmonary lesions (all p < 0.05) in both early and delayed images. Their areas under the ROC curves (AUCs) ranged between 0.69 and 0.94, and diagnostic accuracies between 64.4% and 93.2%. Entropy-early (p = 0.014), SUVmean-delay (p = 0.039), and dissimilarity-delay (p = 0.027) were independent parameters, and combined use of them yielded the highest AUC (0.98) with 100% sensitivity (46/46), 84.6% specificity (11/13), and 96.7% (57/59) accuracy for distinguishing between benign and malignant lesions. Conclusions The individual early and delayed SUV-related, volumetric, and texture parameters showed a wide range of accuracy. Combined use of independent parameters extracted from DTP imaging might yield a high diagnostic accuracy with balanced sensitivity and specificity to differentiate between benign and malignant F-18-FDG-avid pulmonary lesions.
机译:目的检测双时点(DTP)F-18-氟脱氧葡糖(F-18-FDG)-PET / CT成像的纹理分析是否可以区分F-18-FDG-狂热的良性和恶性肺病变。方法比较标准的摄取值(SUV) - 重新化(Suvmax [g / ml]和Suvmean [G / ml]),体积(代谢肿瘤体积[MTV] [Cm(3)]和总损伤糖酵解[TLG] [G ])和纹理(熵,均匀性,异化性,强度变异性[IV],尺寸区变异性[SZV]和区百分比[ZP])(MTV> = 5.0cm(3)和SUV> = 2.5g / ml )使用Mann-Whitney U测试的13个良性和46个恶性病变之间的参数。通过接收器操作特征(ROC)分析评估诊断性能。进行逐步逻辑回归分析以识别和使用正确区分良性和恶性病变的独立变量。结果恶性肺病变显着高于Suvmax,Suvmean,MTV,TLG,熵,异化,IV和SZV,并且在早期和延迟图像中的良性肺病变(所有P <0.05)显着降低均匀性和ZP。他们的ROC曲线(AUCS)的区域范围为0.69和0.94,诊断准确性为64.4%和93.2%。熵早期(P = 0.014),SUVMEAN-延迟(P = 0.039),差异延迟(P = 0.027)是独立参数,并将它们的组合使用产生了100%灵敏度(46 /)的最高AUC(0.98)(46 / 46),84.6%的特异性(11/13)和96.7%(57/59)的精确度,以区分良性和恶性病变。结论个体早期和延迟的SUV相关,体积和纹理参数显示出广泛的准确性。从DTP成像中提取的独立参数的结合使用可能会产生高诊断准确性,具有平衡的敏感性和特异性,以区分良性和恶性F-18-FDG-抗抗抗肺病变。

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