The impact of V-flow on preoperative diagnosis of thyroid tumors: individually and as part of multimodal sonographic imaging.

IF 1.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren Pub Date : 2025-04-01 Epub Date: 2024-07-22 DOI:10.1055/a-2350-0107
Moritz Konstantin Brandenstein, Liang Zhang, Gregor Scharf, Sylvia Thurn, Matthias Hornung, Karin Menhart, Stefanie Meiler, Christian Stroszczynski, Ernst Michael Jung
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Abstract

V-flow is a dynamic ultrasound technique that visualizes perfusion patterns by displaying dynamic arrows that change in response to the flow of erythrocytes. Furthermore, it provides quantitative values for the maximum and mean velocity of blood flow as well as a percentage value for turbulence. The aim was to enhance the preoperative diagnostic accuracy of thyroid lesions by combining V-flow with established ultrasound modes.B-mode, CCDS, elastography, CEUS, and V-flow were performed on 101 patients. After the ultrasound examination, every nodule was confirmed as benign or malignant via histopathology. The Kruskal-Wallis test, ROC curve, and binary logistic regression were used for the statistical analysis.93 benign regressive thyroid nodules and 8 carcinomas were included in this study. The average mean velocity value for benign lesions was measured at 19.5 cm/s and at 10.7 cm/s for malignant lesions (p = 0.039). The average turbulence percentage was 26.1% for benign nodules and 46.7% for carcinomas (p = 0.016). Carcinomas exhibited a slower and more turbulent perfusion pattern compared to benign tumors. A V-flow-centered system achieves a sensitivity of 100.0% and a specificity of 84.9% in predicting malignancy. This system could have reduced the number of unnecessary thyroid surgeries for benign lesions in our patient group by 70%.The capillary perfusion of thyroid nodules represents a significant indicator of its status. By analyzing the velocity and turbulence level of microvascular blood flow, V-flow offers promising prospects for accurately distinguishing between benign and malignant thyroid lesions. When integrated into a comprehensive multimodal sonographic imaging approach, V-flow further enhances diagnostic accuracy. · V-flow allows for qualitative and quantitative analysis of microvascular perfusion. · Malignant tumors are associated with slower and more turbulent microvascular hemodynamics. · Combining V-flow with other ultrasound modes eases the diagnosis of thyroid carcinomas. · Brandenstein MK, Zhang L, Scharf G et al. The impact of V-flow on preoperative diagnosis of thyroid tumors: individually and as part of multimodal sonographic imaging. Fortschr Röntgenstr 2025; 197: 436-446.

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V型血流对甲状腺肿瘤术前诊断的影响:单独和作为多模态超声成像的一部分。
V 型血流是一种动态超声技术,它通过显示随红细胞流动而变化的动态箭头来显示灌注模式。此外,它还能提供血流最大速度和平均速度的定量值以及湍流的百分比值。我们对 101 名患者进行了 B 型、CCDS、弹性成像、CEUS 和 V 型血流检查。超声检查后,每个结节均通过组织病理学证实为良性或恶性。本研究采用 Kruskal-Wallis 检验、ROC 曲线和二元逻辑回归进行统计分析,其中包括 93 个良性退行性甲状腺结节和 8 个癌。良性病变的平均速度值为 19.5 厘米/秒,恶性病变的平均速度值为 10.7 厘米/秒(P = 0.039)。良性结节的平均湍流率为 26.1%,癌细胞为 46.7%(p = 0.016)。与良性肿瘤相比,癌肿的灌注速度更慢,湍流更多。以 V 型血流为中心的系统在预测恶性肿瘤方面的灵敏度为 100.0%,特异性为 84.9%。在我们的患者群体中,该系统可以将甲状腺良性病变的不必要手术数量减少 70%。通过分析微血管血流的速度和湍流程度,V-flow有望准确区分甲状腺良性和恶性病变。如果将 V 型血流纳入全面的多模态声学成像方法,还能进一步提高诊断的准确性。- V 型血流可对微血管灌注进行定性和定量分析。- 恶性肿瘤的微血管血流动力学速度更慢、更湍急。- 将V-flow与其他超声模式相结合可简化甲状腺癌的诊断。- Brandenstein MK、Zhang L、Scharf G 等:V-flow 对甲状腺肿瘤术前诊断的影响:单独使用和作为多模式超声成像的一部分。Fortschr Röntgenstr 2024; DOI 10.1055/a-2350-0107.
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The impact of V-flow on preoperative diagnosis of thyroid tumors: individually and as part of multimodal sonographic imaging. Motivation and success factors in radiological research in Germany - results of a survey by the Methodology and Research Working Group of the German Radiological Society. Computed tomography-based radiomics machine learning models for differentiating enchondroma and atypical cartilaginous tumor in long bones. Non-invasive imaging diagnosis of a mediastinal paraganglioma: a case report. Specific back pain - effective diagnosis and treatment from the radiologist's point of view.
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