早期早产患者肺血管发育评估及应用

Randi Dias, Aren Singh Saini, Walter O'Dell
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摘要

早产的人从出生到成年都要经历许多困难。阻塞性肺病是早产患者的常见病。不幸的是,早产儿肺部的发育是科学界尚未充分研究的一个领域。因此,本研究的目的是确定随着患者年龄的增长肺血管生长的趋势,并发现定量措施,为改善早产儿的生活质量提供临床见解。这是一项回顾性研究,通过使用建立在NIH ImageJ平台上的内部软件分析x射线计算机断层扫描(CT)。对于每次扫描,自动识别肺体积,提取并表征肺血管树,以量化左半肺血管总数。同时记录每个血管树的半径和长度。分析了16例儿科患者的CT扫描(7例早产,9例足月)。足月患者的血管生长随着患者年龄的增长而增加,而早产儿的血管生长随着年龄的增长而减少。数据还表明,随着时间的推移,女性早产儿和足月受试者的血管分支数量有显著较大的差异。限制,如图像质量的变化,儿童的年龄,以及随着时间的推移CT技术的变化正在解决,以提高对结果的信心。未来的工作将包括对更大数据集的分析和从胸部ct中自动提取血管的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Lung Vasculature Development and Application to Early Preterm Gestation Patients
Individuals who were born prematurely undergo many difficulties from the time they are born to their adult lives. Obstructive lung diseases are a common occurrence in patients who were born prematurely. Unfortunately, the development of lungs in premature infants is an area in the science world that has not been fully studied. Therefore, this study’s objective is to determine trends in lung vessel growth as a patient advances in age, and discover quantitative measures that provide clinical insight regarding improving the quality of life of premature infants. This is a retrospective study where x-ray computed tomography (CT) scans were analyzed by using in-house software built upon the NIH ImageJ platform. For each scan, the lung volume was automatically identified and the pulmonary vessel trees extracted and characterized to quantify the total number of vessels in the left hemi-lung. The radius and length of each vessel tree were also recorded. CT scans of 16 pediatric patients were analyzed (7 prematurely born and 9 full-term). The vessel growth of full-term patients trended to increase as a patient aged, while vessel growth for premature patients decreased with age. The data also indicated a significantly larger difference in the number of vessel branches over time between female preterm and full term subjects. Limitations such as variations in image quality, children’s age, and changes in CT technology over time are being addressed to improve confidence in the results. Future works will include analysis on a larger data set and novel approaches to automatic vessel extraction from chest CTs. 
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