Department of Obstetrics, University Hospital of Zurich, Switzerland.
Ultrasound Obstet Gynecol. 2010 Apr;35(4):449-55. doi: 10.1002/uog.7545.
OBJECTIVE: To apply the cumulative summation (CUSUM) technique for an evaluation of the learning process of sonographic fetal weight estimation at term in combination with the z-scores of biometry determinants and to assess the time of appearance and sources of errors. METHODS: Learning curve (LC-CUSUM) and double CUSUM charts for systematic error detection based on absolute and signed mean percentage error were generated to retrospectively estimate the longitudinal accuracy of sonographic fetal weight estimation conducted by three trainees and one experienced examiner. For LC-CUSUM analysis an examination was considered to be a failure when there was an absolute error in birth weight estimation >/= 15%. Fetal biometry measurements (head circumference, abdominal circumference (AC) and femur length (FL)) from 227 routine ultrasound scans of one examiner were separately transformed into z-scores and double CUSUM charts were generated to assess the systematic errors for each determinant. RESULTS: The LC-CUSUM charts revealed that different numbers of scans are required for different examiners to achieve competence in estimating birth weight. AC and FL deviated most significantly from expected values (P < 0.05). The double CUSUM charts revealed exact periods of systematic errors in the measurement of biometry determinants, clearly reflecting errors of fetal weight estimation. CONCLUSIONS: The use of CUSUM techniques in the analysis of sonographic data allows observation of the development of an examiner's skill and maintenance of competence. The CUSUM technique not only allows the reasons for impaired fetal weight estimation to be revealed but also allows determination of the exact time when inaccurate measurements start to occur. We suggest that CUSUM charts should be implemented in routine clinical practice as a measure of objective quality evaluation of sonographic fetal biometry.
目的:应用累积和(CUSUM)技术评估足月胎儿超声体重估计的学习过程,结合生物测量指标的 z 分数,并评估出现时间和误差来源。
方法:生成学习曲线(LC-CUSUM)和双 CUSUM 图表,用于基于绝对和有符号平均百分比误差检测系统误差,以回顾性估计三名受训者和一名经验丰富的检查者进行的超声胎儿体重估计的纵向准确性。对于 LC-CUSUM 分析,如果体重估计的绝对误差>/= 15%,则认为检查失败。对一名检查者的 227 次常规超声扫描的胎儿生物测量(头围、腹围(AC)和股骨长度(FL))进行单独转换为 z 分数,并生成双 CUSUM 图表,以评估每个决定因素的系统误差。
结果:LC-CUSUM 图表显示,不同的检查者需要不同数量的扫描才能达到估计体重的能力。AC 和 FL 与预期值偏差最大(P <0.05)。双 CUSUM 图表显示了生物测量指标测量中的系统误差的确切时期,清楚地反映了胎儿体重估计的误差。
结论:CUSUM 技术在超声数据分析中的应用可以观察检查者技能的发展和能力的保持。CUSUM 技术不仅可以揭示胎儿体重估计受损的原因,还可以确定不准确测量开始发生的确切时间。我们建议在常规临床实践中实施 CUSUM 图表,作为超声胎儿生物测量客观质量评估的一种措施。
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