Department of Cardiac Surgery, Universitary Hospital, Clermont- Ferrand, France.
T.G.I., I.P., CNRS, SIGMA, UCA, UMR, 6602, Clermont- Ferrand, France.
Sci Rep. 2022 Jun 29;12(1):10951. doi: 10.1038/s41598-022-14994-1.
Van Praet proposed a classification to predict the ease of minithoracotomy aortic valve replacement (MT-AVR) based on the position of the aorta in the thorax. We have evaluated the relevance of complex computed tomography (CT) scan measurements to predict the ease of performing a MT-AVR. The first 57 patients who underwent MT-AVR from February 2018 to June 2020 were selected prior to surgery using Van Praet's IA and IB classes. We made additional measurements on aorta position related to the chest and the incision on the preoperative CT scan. The main objective was to correlate complex CT measurements with different operating durations. Van Praet criteria were significantly related to the distance from the center of the aorta to the midline (p value < 0.001), the distance from the center of the aortic ring to the midline (p value = 0.013) and aorto-sternal angle (p < 0.001). We did not find a correlation between CT criteria and the different surgical steps durations in patients belonging to Van Praet classes IA and IB. Our cohort of Van Praet class Ia and Ib patients were able to benefit from a MT-AVR without the need for conversion. Complex CT measurements do not provide additional information to predict surgical difficulties. This classification appears to be sufficient to determine a patient's eligibility for MT-AVR, even for a surgeon experienced in sternotomy in his first MT-AVR.
范雷特(Van Praet)提出了一种分类方法,根据主动脉在胸腔中的位置来预测微创主动脉瓣置换术(MT-AVR)的难易程度。我们评估了复杂 CT 扫描测量值在预测 MT-AVR 手术难度方面的相关性。在手术前,我们选择了 2018 年 2 月至 2020 年 6 月期间接受 MT-AVR 的前 57 例患者,使用 Van Praet 的 IA 和 IB 类进行分类。我们在术前 CT 扫描上对与胸部和切口相关的主动脉位置进行了其他测量。主要目的是将复杂的 CT 测量值与不同的手术持续时间相关联。Van Praet 标准与主动脉中心与中线之间的距离(p 值<0.001)、主动脉环中心与中线之间的距离(p 值=0.013)和主动脉胸骨角(p<0.001)显著相关。我们未发现 CT 标准与 Van Praet 类 IA 和 IB 患者的不同手术步骤持续时间之间存在相关性。我们的 Van Praet 类 Ia 和 Ib 患者队列无需转换即可受益于 MT-AVR。复杂 CT 测量值不能提供额外信息来预测手术难度。即使对于在其首次 MT-AVR 中经验丰富的胸骨切开术外科医生,这种分类方法似乎足以确定患者是否适合接受 MT-AVR。