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医学生使用超声自动量化左心室功能。

Automatic quantification of left ventricular function by medical students using ultrasound.

机构信息

Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Prinsesse Kristinas gate 3, 7030, Trondheim, Norway.

Clinic of Cardiology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.

出版信息

BMC Med Imaging. 2020 Mar 16;20(1):29. doi: 10.1186/s12880-020-00430-1.

Abstract

BACKGROUND

Automatic analyses of echocardiograms may support inexperienced users in quantifying left ventricular (LV) function. We have developed an algorithm for fully automatic measurements of mitral annular plane systolic excursion (MAPSE) and mitral annular systolic (S') and early diastolic (e') peak velocities. We aimed to study the influence of user experience of automatic measurements of these indices in echocardiographic recordings acquired by medical students and clinicians.

METHODS

We included 75 consecutive patients referred for echocardiography at a university hospital. The patients underwent echocardiography by clinicians (cardiologists, cardiology residents and sonographers), who obtained manual reference measurements of MAPSE by M-mode and of S' and e' by colour tissue Doppler imaging (cTDI). Immediately after, each patient was examined by 1 of 39 medical students who were instructed in image acquisition on the day of participation. Each student acquired cTDI recordings from 1 to 4 patients. All cTDI recordings by students and clinicians were analysed for MAPSE, S' and e' using a fully automatic algorithm. The automatic measurements were compared to the manual reference measurements.

RESULTS

Correct tracking of the mitral annulus was feasible in 50 (67%) and 63 (84%) of the students' and clinicians' recordings, respectively (p = 0.007). Image quality was highest in the clinicians' recordings. Mean difference ± standard deviation of the automatic measurements of the students' recordings compared to the manual reference was - 0.0 ± 2.0 mm for MAPSE, 0.3 ± 1.1 cm/s for S' and 0.6 ± 1.4 cm/s for e'. The corresponding intraclass correlation coefficients for MAPSE, S' and e' were 0.85 (good), 0.89 (good) and 0.92 (excellent), respectively. Automatic measurements from the students' and clinicians' recordings were in similar agreement with the reference when mitral annular tracking was correct.

CONCLUSIONS

In case of correct tracking of the mitral annulus, the agreement with reference for the automatic measurements was overall good. Low image quality reduced feasibility. Adequate image acquisition is essential for automatic analyses of LV function indices, and thus, appropriate education of the operators is mandatory. Automatic measurements may help inexperienced users of ultrasound, but do not remove the need for dedicated education and training.

摘要

背景

自动分析超声心动图可以帮助经验不足的用户定量评估左心室(LV)功能。我们已经开发了一种用于自动测量二尖瓣环平面收缩期位移(MAPSE)和二尖瓣环收缩期(S')及舒张早期(e')峰值速度的算法。我们旨在研究在医学生和临床医生进行的超声心动图记录中,用户对这些指标自动测量的经验对测量结果的影响。

方法

我们纳入了 75 名连续就诊于一所大学医院的患者。这些患者由临床医生(心脏病专家、心脏病住院医师和超声技师)进行超声心动图检查,他们通过 M 型超声心动图手动获得 MAPSE 的参考测量值,并通过彩色组织多普勒成像(cTDI)获得 S'和 e'的参考测量值。随后,每位患者由 39 名医学生中的 1 名进行检查,这些医学生在参与当天接受了图像采集方面的指导。每位学生为 1 至 4 名患者采集 cTDI 记录。所有学生和临床医生的 cTDI 记录均使用全自动算法进行 MAPSE、S'和 e'的分析。将自动测量值与手动参考测量值进行比较。

结果

分别有 50 名(67%)和 63 名(84%)学生和临床医生的记录可以正确追踪二尖瓣环(p=0.007)。临床医生记录的图像质量最高。与手动参考相比,学生记录的自动测量值的平均差值±标准差分别为 MAPSE:-0.0±2.0mm,S':0.3±1.1cm/s,e':0.6±1.4cm/s。MAPSE、S'和 e'的相应组内相关系数分别为 0.85(好)、0.89(好)和 0.92(优)。在正确追踪二尖瓣环的情况下,学生和临床医生记录的自动测量值与参考值的一致性总体良好。低图像质量降低了可行性。对于 LV 功能指数的自动分析,获取适当的图像是至关重要的,因此,操作人员的适当教育是强制性的。自动测量可能有助于经验不足的超声用户,但不能取代专门的教育和培训。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7942/7077164/8b2be4725351/12880_2020_430_Fig1_HTML.jpg

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