Measuring Lung Vessel Tree Growth During Development in Pediatric Patients

A. S. Saini
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Abstract

Premature babies are often put on respirators due to their lack of lung development and functionality. However, there is not much data that specifically pinpoints when it is safe to take a child off a respirator. Therefore, the main focus question is: how does the pulmonary vasculature develop as the child grows and can we determine the exact time-point to take him/her off a respirator. In this study, Chest CT scans were retrospectively gathered from pediatric patients at different follow-up times from the UF Shands Pulmonary Care Pediatric Center from 2005-2012. In-house software built upon the NIH ImageJ platform was used to count blood vessels as a function of size in each patient’s lungs. Nine datasets were analyzed from subjects 1 week to 22 years of age. It was observed that the number of vessels increased as a patient aged however the data points were spread greatly, preventing our being able to make additional inferences. Limitations of this initial work include that often patients were scanned only in instances of lung infections which hinders the assessment of lung vasculature; the number of repeated scans per patient was low; and the image slice thickness and in-plane pixel resolution varied across scans, which affects vessels count. Future extensions of this work include selecting a larger cohort of subjects with multiple follow-ups and similar imaging parameters, along with an age-matched control group.
在儿科患者发育过程中测量肺血管树生长
由于早产儿的肺部发育和功能缺乏,他们通常会戴上呼吸机。然而,没有太多的数据具体指出什么时候让孩子摘下呼吸机是安全的。因此,主要的焦点问题是:随着孩子的成长,肺血管系统是如何发育的,我们能否确定取下呼吸机的确切时间点。在本研究中,回顾性收集了2005-2012年在UF尚兹肺部护理儿科中心不同随访时间的儿科患者的胸部CT扫描。建立在NIH ImageJ平台上的内部软件被用来计算每个病人肺部血管大小的函数。从受试者1周到22岁,分析了9个数据集。我们观察到,随着患者年龄的增长,血管的数量会增加,但数据点的分布很大,这使得我们无法做出额外的推断。这项初步工作的局限性包括,通常只有在肺部感染的情况下才对患者进行扫描,这妨碍了对肺部血管系统的评估;每位患者重复扫描的次数很低;图像切片厚度和面内像素分辨率在扫描过程中会发生变化,从而影响血管计数。这项工作的未来扩展包括选择更大的受试者队列,进行多次随访和类似的成像参数,以及年龄匹配的对照组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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