Cephalopelvic disproportion (CPD)-related obstructed labour requires delivery via Caesarean section (C/S); however, in low-resource settings around the world, facilities with C/S capabilities are often far away. This paper reports three low-cost tools to assess the risk of CPD, well before labour, to provide adequate time for referral and planning for delivery. We performed tape measurement- and three-dimensional (3D) camera-based anthropometry, using two 3D cameras (Kinect and Structure) on primigravida, gestational age ≥ 36 weeks, from Addis Ababa, Ethiopia. Novel risk scores were developed and tested to identify models with the highest predicted area under the receiver-operator characteristic curve (AUC), detection rate (true positive rate at a 5% false-positive rate, FPR) and triage rate (true negative rate at a 0% false-negative rate). For tape measure, Kinect and Structure, the detection rates were 53%, 61% and 64% (at 5% FPR), the triage rates were 30%, 56% and 63%, and the AUCs were 0.871, 0.908 and 0.918, respectively. Detection rates were 77%, 80% and 84% at the maximum J-statistic, which corresponded to FPRs of 10%, 15% and 11%, respectively, for tape measure, Kinect and Structure. Thus, tape measurement anthropometry was a very good predictor and Kinect and Structure anthropometry were excellent predictors of CPD risk.

中文翻译：

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三维相机人体测量学评估埃塞俄比亚头盆不称相关的难产风险。


头盆不称 (CPD) 相关的难产需要通过剖腹产 (C/S) 分娩；然而，在世界各地资源匮乏的环境中，具有 C/S 功能的设施通常距离很远。本文报告了三种低成本工具，用于在分娩前评估 CPD 风险，以便为转诊和计划分娩提供充足的时间。我们使用两台 3D 相机（Kinect 和 Structure）对来自埃塞俄比亚亚的斯亚贝巴、胎龄≥ 36 周的初产妇进行了基于卷尺测量和基于三维 (3D) 相机的人体测量。开发并测试了新的风险评分，以识别具有最高预测面积的接受者-操作者特征曲线 (AUC)、检出率（5% 假阳性率下的真阳性率，FPR）和分诊率（真阴性率）的模型假阴性率为 0%）。对于卷尺、Kinect 和 Structure，检出率分别为 53%、61% 和 64%（FPR 为 5%），分类率分别为 30%、56% 和 63%，AUC 分别为 0.871、0.908 和 0.918，分别。最大 J 统计量下的检测率分别为 77%、80% 和 84%，对应卷尺、Kinect 和 Structure 的 FPR 分别为 10%、15% 和 11%。因此，卷尺人体测量学是一个非常好的预测指标，Kinect 和结构人体测量学是 CPD 风险的极好预测指标。