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使用应用程序估计阴茎腹侧弯曲度。

Ventral penile curvature estimation using an app.

作者信息

Villanueva Carlos A

机构信息

Phoenix Children's Hospital, 1920 E. Cambridge Ave., Ste. 302, Phoenix, 85006, AZ, USA.

出版信息

J Pediatr Urol. 2020 Aug;16(4):437.e1-437.e3. doi: 10.1016/j.jpurol.2020.04.027. Epub 2020 May 7.

Abstract

INTRODUCTION AND OBJECTIVE

The assessment of penile curvature is a key component of hypospadias surgery, as it often determines if a 1 or 2-stage procedure should be done. The objective of this study was to test the accuracy of penile curvature measurements using an App-based method among non-urologists.

METHODS

Lateral pictures of six plastic 3-dimensional penile models representing each decile of curvature from 20 to 70° were obtained and stored on the research project iPad. Each picture was labeled with a name (i.e. Jim). Non-urology medical professionals were recruited to estimate the curvature of the six pictures with an App-based method consisting of the Photoblend Pro App and 9 provided graded 2-dimensional penile curvature images (representing each decile of curvature from 10 to 90°). Curvature estimations were done by merging the picture of the 3-dimensional penile model with one of the 9 provided graded 2-dimensional penile curvature images inside the App in an iterative process until the penile model picture matched the graded image (see figure). A research associate taught the research subjects the App-based method and then the subjects were asked to estimate the ventral penile curvature of each of the six penile model pictures. Measurement error was calculated as the absolute difference in between the measured value and the true value for the 6 models. A comparison was then made with previous research where pediatric urologists used either a goniometer or unaided visual inspection (UVI) to measure the ventral curvature of the same plastic 3-dimensional penile models used for the pictures of this study.

RESULTS

Twenty-one subjects were recruited, and all completed the study. Mean errors using the App ranged from 1.9° to 7.1°, compared to 6.5°-15° for UVI and 4.4°-15.9° for goniometry. The median error for the App was 0° compared to 5-10° for both UVI and goniometry. Mean errors were significantly lower (p < 0.05) when using the app compared to UVI/goniometry for all except the 30° and 50° models. Assuming patients with VC ≤ 30° would have had a one stage repair versus a 2-stage repair if curvature was >30°, the number of measurements that could have resulted in the unintended operation was calculated. There was a statistically significant difference in number of potential unintended surgeries in between App (17%) versus UVI + Goniometer (37%) (p = 0.0133).

CONCLUSION

This pilot study demonstrated better penile curvature estimations using the App compared to the two most common methods currently used by pediatric urologists. Plastic models provide an avenue to test and compare penile curvature measurement techniques.

摘要

引言与目的

阴茎弯曲度评估是尿道下裂手术的关键组成部分,因为它常常决定应采用一期还是二期手术。本研究的目的是在非泌尿外科医生中测试基于应用程序的方法测量阴茎弯曲度的准确性。

方法

获取六个代表20°至70°每十分度弯曲度的塑料三维阴茎模型的侧面图片,并存储在研究项目的iPad上。每张图片都标有一个名字(如吉姆)。招募非泌尿外科医学专业人员,使用一种基于应用程序的方法估计这六张图片的弯曲度,该方法由Photoblend Pro应用程序和9张提供的分级二维阴茎弯曲度图像(代表10°至90°的每十分度弯曲度)组成。弯曲度估计是通过在应用程序内将三维阴茎模型的图片与9张提供的分级二维阴茎弯曲度图像之一进行迭代合并来完成的,直到阴茎模型图片与分级图像匹配(见图)。一名研究助理向研究对象教授基于应用程序的方法,然后要求对象估计六个阴茎模型图片中每个图片的阴茎腹侧弯曲度。测量误差计算为六个模型测量值与真实值之间的绝对差值。然后与先前的研究进行比较,在先前研究中,儿科泌尿外科医生使用测角仪或裸眼视觉检查(UVI)来测量本研究图片所使用的相同塑料三维阴茎模型的腹侧弯曲度。

结果

招募了21名对象,所有对象均完成了研究。使用该应用程序的平均误差范围为1.9°至7.1°,而UVI的平均误差为6.5° - 15°,测角法的平均误差为4.4° - 15.9°。该应用程序的中位数误差为0°,而UVI和测角法的中位数误差均为5 - 10°。除了30°和50°的模型外,使用该应用程序时的平均误差与UVI/测角法相比均显著更低(p < 0.05)。假设阴茎弯曲度(VC)≤30°的患者会进行一期修复,而如果弯曲度>30°则进行二期修复,计算可能导致意外手术的测量次数。应用程序组(17%)与UVI + 测角仪组(37%)之间潜在意外手术的数量存在统计学显著差异(p = 0.0133)。

结论

这项初步研究表明,与儿科泌尿外科医生目前使用的两种最常见方法相比,使用该应用程序对阴茎弯曲度的估计更好。塑料模型为测试和比较阴茎弯曲度测量技术提供了一条途径。

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