Guilcher Antoine, Lanéelle Damien, Hoffmann Clément, Guillaumat Jérôme, Constans Joel, Bressollette Luc, Le Hello Claire, Boissier Christian, Bura-Rivière Alessandra, Jaquinandi Vincent, Omarjee Loukman, Lacroix Philippe, Pernod Gilles, Abbadie Fabrice, Sevestre Marie Antoinette, Boulon Carine, Mahé Guillaume
Clinical Investigation Center, Univ Rennes, INSERM CIC 1414, CHU Rennes, F-35033 Rennes, France.
Vascular Medicine Unit, CHU Caen-Normandie, F-14000 Caen, France.
J Clin Med. 2021 Jan 26;10(3):464. doi: 10.3390/jcm10030464.
Characterisation of arterial Doppler waveforms is a persistent problem and a source of confusion in clinical practice. Classifications have been proposed to address the problem but their efficacy in clinical practice is unknown. The aim of the present study was to compare the efficacy of the categorisation rate of Descotes and Cathignol, Spronk et al. and the simplified Saint-Bonnet classifications.
This is a multicentre prospective study where 130 patients attending a vascular arterial ultrasound were enrolled and Doppler waveform acquisition was performed at the common femoral, the popliteal, and the distal arteries at both sides. Experienced vascular specialists categorized these waveforms according to the three classifications.
of 1033 Doppler waveforms, 793 (76.8%), 943 (91.3%) and 1014 (98.2%) waveforms could be categorized using Descotes and Cathignol, Spronk et al. and the simplified Saint-Bonnet classifications, respectively. Differences in categorisation between classifications were significant (Chi squared test, < 0.0001). Of 19 waveforms uncategorized using the simplified Saint-Bonnet classification, 58% and 84% were not categorized using the Spronk et al. and Descotes and Cathignol classifications, respectively.
The results of the present study suggest that the simplified Saint-Bonnet classification provides a superior categorisation rate when compared with Spronk et al. and Descotes and Cathignol classifications.
动脉多普勒波形的特征描述一直是个问题,也是临床实践中令人困惑的根源。已经提出了一些分类方法来解决这个问题,但它们在临床实践中的效果尚不清楚。本研究的目的是比较Descotes和Cathignol、Spronk等人以及简化的圣博内分类法的分类率效果。
这是一项多中心前瞻性研究,纳入了130名接受血管动脉超声检查的患者,并在双侧的股总动脉、腘动脉和远端动脉进行了多普勒波形采集。经验丰富的血管专家根据这三种分类方法对这些波形进行分类。
在1033个多普勒波形中,分别使用Descotes和Cathignol、Spronk等人以及简化的圣博内分类法可分类的波形有793个(76.8%)、943个(91.3%)和1014个(98.2%)。分类方法之间的分类差异具有显著性(卡方检验,<0.0001)。在使用简化的圣博内分类法未分类的19个波形中,分别有58%和84%未使用Spronk等人以及Descotes和Cathignol分类法分类。
本研究结果表明,与Spronk等人以及Descotes和Cathignol分类法相比,简化的圣博内分类法具有更高的分类率。