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首页> 外文期刊>Journal of magnetic resonance imaging: JMRI >Diagnostic performance of diffusion‐weighted (DWI) and dynamic contrast‐enhanced (DCE) MRI for the differentiation of benign from malignant soft‐tissue tumors
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Diagnostic performance of diffusion‐weighted (DWI) and dynamic contrast‐enhanced (DCE) MRI for the differentiation of benign from malignant soft‐tissue tumors

机译:扩散加权(DWI)和动态对比增强(DCE)MRI对恶性软组织肿瘤的分化的诊断性能

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Background A wide range of specificity values for the differentiation of benign and malignant soft‐tissue tumors show the limitations of conventional MRI features. The data obtained by quantitative analysis of diffusion‐weighted image (DWI) and dynamic contrast‐enhanced (DCE) MRIs would provide more objective results, especially in terms of cellularity and perfusion. Purpose To evaluate the diagnostic efficacies of DWI and DCE MRI for the differentiation of malignant and benign soft‐tissue tumors. Study Type Retrospective. Subjects In all, 136 patients (68 females, 68 males; age range 18–86 years, mean age 57.2 years) with soft‐tissue tumors. Field Strength/Sequence 3 T, DWI, DCE. Assessment Tumor sizes, margins, locations, the presence of involvement in bone or neurovascular bundle, peritumoral edema, heterogeneity, and tumor necrosis were investigated on conventional MR images. On DWIs, visual signal drops were assessed and ADC (apparent diffusion coefficient) values were measured. K trans , K ep , V e , and iAUC values, and time–concentration curve (TCC) types were determined using DCE images. Statistical Tests The data were statistically analyzed to determine the abilities to differentiate benign and malignant tumors using the chi‐square test, two‐sample t ‐test, and receiver operating characteristic (ROC) analysis. Results Seventy‐three cases were malignant and 63 benign. Age (mean ages of benign/malignant tumors, 51.75/61.86 years; P = 0.0002) and gender (F:M = 40:23 [benign], F:M = 28:45 [malignant], P = 0.003) influenced the distinction between benign and malignant. Sizes, margins, neurovascular bundle involvement, peritumoral edema, and heterogeneity of the tumors on conventional MR images and DCE parameters (K trans , K ep , V e , and iAUC, and TCC plots) obtained from focal region of interest within a narrow volume of interest significantly differentiated benign and malignant lesions (all P 0.0001, except V e [ P = 0.0004]). For DWI with ADC mapping, all ADC values and visually signal drops were also significant ( P 0.0001). Data Conclusion DWI and DCE‐MRI and derived variables were significantly helpful in discriminating benign and malignant soft‐tissue tumors complementary to conventional MRI. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:798–809.
机译:背景技术良性和恶性软组织肿瘤分化的各种特异性值呈现出常规MRI特征的局限性。通过对扩散加权图像(DWI)和动态对比增强(DCE)MRI获得的定量分析获得的数据将提供更多客观的结果,尤其是在细胞性和灌注方面。目的,评价DWI和DCE MRI对恶性和良性软组织肿瘤的分化的诊断效果。研究类型回顾。所有人的主题,136名患者(68名女性,68名男性;年龄范围为18-86岁,平均57.2岁),具有软组织肿瘤。场强/序列3 T,DWI,DCE。在常规MR图像上研究了评估肿瘤尺寸,边缘,位置,骨骼或神经血管束的参与,腹腔水肿,异质性和肿瘤坏死的存在。在DWIS上,评估视觉信号滴,测量ADC(表观扩散系数)值。使用DCE图像确定k转变,K EP,V E和IAC值和时间浓度曲线(TCC)类型。统计测试数据在统计学上分析,以确定使用Chi-Square测试,两个样本T -Test和接收器操作特征(ROC)分析来区分良性和恶性肿瘤的能力。结果七十三个病例是恶性和63个良性的。年龄(平均良性/恶性肿瘤,51.75 / 61.86年; p = 0.0002)和性别(f:m = 40:23 [良性],f:m = 28:45 [恶性],p = 0.003)影响了良性和恶性之间的区别。常规MR图像和DCE参数(K反式,K EP,V E和IAUC和IAUC,以及TCC图)在狭窄体积内获得的常规MR图像和DCE参数(K反式,K EP,V E和IAC和TCC图)的尺寸,边距,神经血管束参与,蠕动水肿和异质性兴趣显着分化良性和恶性病变(所有P <0.0001,除V E [P = 0.0004]除外)。对于具有ADC映射的DWI,所有ADC值和视觉信号下降也很显着(P <0.0001)。数据结论DWI和DCE-MRI和衍生的变量在鉴别与常规MRI互补的良性和恶性软组织肿瘤的显着有利。证据水平:3技术疗效:第2阶段J. MANG。恢复。 2019年成像; 50:798-809。

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