Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound.

IF 3.5 2区 医学 Q2 ONCOLOGY
Hailan Wu, Jiayu Shi, Long Gao, Jingling Wang, WenXin Yuan, WeiPing Zhang, Zhixing Liu, Yi Mao
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引用次数: 0

Abstract

Objective: To analyze the characteristics of high-frame-rate contrast-enhanced ultrasound (H-CEUS) in solid renal tumors using qualitative and quantitative methods.

Methods: Seventy-five patients who underwent preoperative conventional ultrasound (US), conventional contrast-enhanced ultrasound (C-CEUS), and H-CEUS examination of renal tumors were retrospectively analyzed, with a total of 89 renal masses. The masses were divided into the benign (30 masses) and malignant groups (59 masses) based on the results of enhanced computer tomography and pathology. The location, diameter, shape, border, calcification, and color doppler blood flow imaging (CDFI) of the lesions were observed by US, and the characteristics of the C-CEUS and H-CEUS images were qualitatively and quantitatively analyzed. The χ² test or Fisher's exact probability method was used to compare the US image characteristics between the benign and malignant groups, and the image characteristics of C-CEUS and H-CEUS between the benign and malignant groups. Moreover, the nonparametric Mann-Whitney test was used to compare the differences in C-CEUS and H-CEUS time-intensity curve (TIC) parameters.

Results: Significant differences in gender, surgical approach, echogenicity, and CDFI were observed between the malignant and benign groups (p = 0.003, < 0.001, < 0.001, = 0003). Qualitative analysis also revealed significant differences in the mode of wash-out and fill-in direction between C-CEUS and H-CEUS in the malignant group (p = 0.041, 0.002). In addition, the homogeneity of enhancement showed significant differences between the two contrast models in the benign group (p = 0.009). Quantitative analysis indicated that the TIC parameters peak intensity (PI), deceleration time (DT) /2, area under the curve (AUC), and mean transition time (MTT) were significantly lower in the H-CEUS model compared to the C-CEUS model in both the benign and malignant groups. (all p < 0.001). In contrast, ascending slope of rise curve (AS) was significantly higher in the H-CEUS model compared to the C-CEUS model in the malignant group (p = 0.048).

Conclusions: In renal tumors, H-CEUS shows clearer internal enhancement of the mass and the changes in the wash-out period. The quantitative TIC parameters PI, DT/2, AUC, and MTT were lower in H-CEUS compared to C-CEUS. Both the quantitative and qualitative analyses indicated that H-CEUS better displays the characteristics of solid renal masses compared with C-CEUS.

通过高帧率对比增强超声对实体肾肿瘤进行定性和定量分析。
目的采用定性和定量方法分析肾实体瘤高帧率对比增强超声检查(H-CEUS)的特点:回顾性分析了75例术前接受常规超声(US)、常规对比增强超声(C-CEUS)和H-CEUS检查的肾脏肿瘤患者,共计89个肾脏肿块。根据增强计算机断层扫描和病理结果,将肿块分为良性组(30 个)和恶性组(59 个)。通过 US 观察病变的位置、直径、形状、边界、钙化和彩色多普勒血流成像(CDFI),并对 C-CEUS 和 H-CEUS 图像的特征进行定性和定量分析。采用χ²检验或费雪精确概率法比较良性组和恶性组之间的US图像特征,以及良性组和恶性组之间的C-CEUS和H-CEUS图像特征。此外,还采用非参数 Mann-Whitney 检验比较了 C-CEUS 和 H-CEUS 时间强度曲线(TIC)参数的差异:结果:恶性组和良性组在性别、手术方式、回声强度和 CDFI 方面存在显著差异(P = 0.003,结论:在肾肿瘤中,H-CEUS 时间强度曲线(TIC)参数与 C-CEUS 时间强度曲线(TIC)参数存在显著差异(P = 0.003):在肾脏肿瘤中,H-CEUS 能更清晰地显示肿块内部强化和冲洗期的变化。与 C-CEUS 相比,H-CEUS 的 TIC 定量参数 PI、DT/2、AUC 和 MTT 均较低。定量和定性分析均表明,与 C-CEUS 相比,H-CEUS 能更好地显示实性肾肿块的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Imaging
Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.00
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.
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