Favril Sophie, Stock Emmelie, Broeckx Bart J G, Devriendt Nausikaa, de Rooster Hilde, Vanderperren Katrien
Small Animal Department, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Cancer Research Institute Ghent, Ghent, Belgium.
Vet Comp Oncol. 2022 Jun;20(2):521-528. doi: 10.1111/vco.12803. Epub 2022 Feb 17.
Shear wave elastography (SWE) is a novel ultrasound imaging technique, used in human medicine to differentiate metastatic from non-metastatic lymph nodes (LNs) based on higher tissue stiffness. The objective of this pilot study was to evaluate whether canine metastatic LNs were stiffer compared to non-metastatic LNs. SWE of sentinel or regional LNs in dogs with head and neck cancer was performed. Ten elastograms of each LN were acquired. In each elastogram, mean, median, and maximum shear wave velocities (SWVs) were calculated in the most elastic region, the stiffest region, and the entire LN. The means of those SWVs for each region of each LN were subsequently calculated. Furthermore, a stepwise subsampling was performed to assess the effect of the number of acquired elastograms on the consistency of the classification of a LN as metastatic or not. Twenty-four LNs in 15 dogs with head and neck cancer were included, of which 10 LNs were metastatic. Metastatic medial retropharyngeal and mandibular LNs were successfully distinguished from non-metastatic LNs based on higher mean and median SWVs in the stiffest region and higher maximum SWVs in entire LNs. Furthermore, maximum SWVs in the stiffest region of mandibular LNs were higher in metastatic LNs compared to non-metastatic LNs. Downstream analyses demonstrated that at least eight elastograms were necessary to perform reliable analyses. This pilot trial demonstrated that SWE has potential to discriminate metastatic from non-metastatic LNs; however, LN status should be based on at least eight elastograms in future clinical trials.
剪切波弹性成像(SWE)是一种新型超声成像技术,在人类医学中用于根据较高的组织硬度区分转移性和非转移性淋巴结(LN)。本初步研究的目的是评估犬转移性LN是否比非转移性LN更硬。对患有头颈癌的犬的前哨或区域LN进行了SWE检查。每个LN采集了10幅弹性图。在每幅弹性图中,计算了最具弹性区域、最硬区域和整个LN中的平均、中位数和最大剪切波速度(SWV)。随后计算了每个LN每个区域的这些SWV的平均值。此外,进行了逐步子采样,以评估采集的弹性图数量对LN是否为转移性分类一致性的影响。纳入了15只患有头颈癌的犬的24个LN,其中10个LN为转移性。基于最硬区域中较高的平均和中位数SWV以及整个LN中较高的最大SWV,转移性咽后内侧和下颌LN与非转移性LN成功区分。此外,与非转移性LN相比,转移性下颌LN最硬区域的最大SWV更高。下游分析表明,至少需要八幅弹性图才能进行可靠的分析。该初步试验表明,SWE有潜力区分转移性和非转移性LN;然而,在未来的临床试验中,LN状态应基于至少八幅弹性图。