Dataset related to article "EUS elastography (strain ratio) and fractal-based quantitative analysis for the diagnosis of solid pancreatic lesions"

This record contains raw data related to article ""EUS elastography (strain ratio) and fractal-based quantitative analysis for the diagnosis of solid pancreatic lesions EUS elastography is useful in characterizing solid pancreatic lesions (SPLs), and fractal analysis-based technology has been used to evaluate geometric complexity in oncology. The aim of this study was to evaluate EUS elastography (strain ratio) and fractal analysis for the characterization of SPLs. METHODS: Consecutive patients with SPLs were prospectively enrolled between December 2015 and February 2017. Elastographic evaluation included parenchymal strain ratio (pSR) and wall strain ratio (wSR) and was performed with a new compact US processor. Elastographic images were analyzed using a computer program to determine the 3-dimensional histogram fractal dimension. A composite cytology/histology/clinical reference standard was used to assess sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating curve. RESULTS: Overall, 102 SPLs from 100 patients were studied. At final diagnosis, 69 (68%) were malignant and 33 benign. At elastography, both pSR and wSR appeared to be significantly higher in malignant as compared with benign SPLs (pSR, 24.5 vs 6.4 [P &lt; .001]; wSR, 56.6 vs 15.3 [P &lt; .001]). When the best cut-off levels of pSR and wSR at 9.10 and 16.2, respectively, were used, sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating curve were 88.4%, 78.8%, 89.7%, 76.9%, and 86.7% and 91.3%, 69.7%, 86.5%, 80%, and 85.7%, respectively. Fractal analysis showed a significant statistical difference (P = .0087) between the mean surface fractal dimension of malignant lesions (D = 2.66 ± .01) versus neuroendocrine tumor (D = 2.73 ± .03) and a statistical difference for all 3 channels red, green, and blue (P &lt; .0001). CONCLUSIONS: EUS elastography with pSR and fractal-based analysis are useful in characterizing SPLs.本数据集收录与《超声内镜弹性成像（应变比）及基于分形的定量分析诊断胰腺实性病变》一文相关的原始数据。超声内镜弹性成像（EUS elastography）可用于表征胰腺实性病变（solid pancreatic lesions, SPLs），而基于分形分析的技术已被应用于肿瘤学领域的几何复杂度评估。本研究旨在评估超声内镜弹性成像（应变比）及分形分析在胰腺实性病变表征中的应用价值。 方法：于2015年12月至2017年2月期间，前瞻性入组连续确诊的胰腺实性病变患者。弹性成像评估指标包括实质应变比（parenchymal strain ratio, pSR）与壁应变比（wall strain ratio, wSR），检测采用新型紧凑型超声处理器完成。通过计算机程序对弹性成像图像进行分析，以计算三维直方图分形维数。采用细胞学、组织学与临床复合参考标准，评估检测方法的灵敏度、特异度、阳性预测值、阴性预测值及受试者工作特征曲线下面积（area under the receiver operating curve, AUC）。 结果：本研究共纳入100例患者的102个胰腺实性病变进行分析。最终诊断结果显示，69个（68%）病变为恶性，33个为良性。弹性成像结果表明，恶性病变的实质应变比与壁应变比均显著高于良性病变（实质应变比：24.5 vs 6.4，P < 0.001；壁应变比：56.6 vs 15.3，P < 0.001）。当分别以9.10和16.2作为实质应变比与壁应变比的最佳截断值时，二者对应的灵敏度、特异度、阳性预测值、阴性预测值及受试者工作特征曲线下面积分别为88.4%、78.8%、89.7%、76.9%、86.7%，以及91.3%、69.7%、86.5%、80%、85.7%。分形分析结果显示，恶性病变的平均表面分形维数（D=2.66±0.01）与神经内分泌肿瘤（D=2.73±0.03）之间存在显著统计学差异（P=0.0087）；且红、绿、蓝三个颜色通道的分形维数均存在显著统计学差异（P < 0.0001）。 结论：联合实质应变比的超声内镜弹性成像及基于分形的分析技术，可有效用于胰腺实性病变的表征与鉴别诊断。