对比增强超声结合微血流成像对良性和恶性肾肿瘤的临床诊断价值:一项回顾性队列研究。

0 MEDICINE, RESEARCH & EXPERIMENTAL
Xiufeng Kuang, Huiyang Wang, Weilu Chai, Huafang Yuan, Ting He, Mengya Shi, Tianan Jiang
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引用次数: 0

摘要

本研究旨在评估对比增强超声联合微血流成像(CEUS-MFI)在鉴别诊断良性和恶性肾肿瘤中的临床诊断价值。所有患者均接受了 CEUS、MFI、彩色多普勒血流成像(CDFI)和 CEUS-MFI。以病理结果为金标准,通过卡帕一致性检验和接收者操作特征曲线(ROC)评估了这些不同诊断方法在诊断良性和恶性肾肿瘤方面的效果。与良性肿瘤相比,CDFI、MFI 和 CEUS-MFI 均显示恶性肿瘤的血流量更高。与良性肿瘤相比,CDFI 在恶性肿瘤中检测到更高比例的点状和线状 Adler 2 级和 3 级血流,以及外周半圆形或环形血流。MFI 在恶性肿瘤中发现了较高比例的外周环形血流和不规则的血管形态,大多数表现为 Adler 3 级血流。此外,与单纯 MFI 相比,CEUS-MFI 在恶性肾肿瘤中显示出更多树枝状或不规则的 Adler 2 级或 3 级血流。进一步分析表明,CEUS-MFI 与病理诊断的一致性最高(Kappa = 0.808)。ROC曲线显示,CEUS-MFI区分良性和恶性病变的曲线下面积(AUC)为0.898,明显优于其他单一诊断方法。MFI能显示微血管信息并评估整体病理特征,因此能准确预测肾脏肿瘤的性质并协助制定手术计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical diagnostic value of contrast-enhanced ultrasound combined with microflow imaging in benign and malignant renal tumors: A retrospective cohort study.

This study aims to evaluate the clinical diagnostic value of contrast-enhanced ultrasound combined with microflow imaging (CEUS-MFI) in the differential diagnosis of benign and malignant renal tumors. All patients underwent CEUS, MFI, color doppler flow imaging (CDFI), and CEUS-MFI. The efficacies of these different diagnostic modalities in diagnosing benign and malignant renal tumors were evaluated by Kappa consistency test and the receiver operating characteristic (ROC) curve, with pathological findings serving as the gold standard. CDFI, MFI and CEUS-MFI all demonstrated higher blood flow in malignant tumors compared with benign tumors. Compared with benign tumors, CDFI detected a higher rate of punctate and linear Adler grade 2 and 3 blood flows in malignant tumors, as well as peripheral semicircular or annular blood flow. MFI identified a high rate of peripheral circumferential blood flow and irregular vascular morphology in malignant tumors, with most exhibiting Adler grade 3 blood flow. In addition, CEUS-MFI showed more dendritic or irregular Adler grade 2 or 3 blood flows in malignant renal tumors than MFI alone. Further analysis showed that CEUS-MFI had the highest consistency with pathological diagnosis (Kappa = 0.808). The ROC curve showed that the area under the curve (AUC) for CEUS-MFI in differentiating between benign and malignant lesions was 0.898, significantly outperforming other single diagnostic methods. With its capability to display microvascular information and assess overall pathological characteristics, MFI can accurately predict the nature of renal tumors and assist in surgical planning.

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