class='kwd-title'>Keywords: Pure ground glass no'/>
Hilly or mountainous surface: a new CT feature to predict the behavior of pure ground glass nodules?
class="kwd-title">Keywords: Pure ground glass nodule, Multidetector computed tomography, Computer-assisted image analysis, Quantitative histogram analysis, Follow-up studies class="head no_bottom_margin" id="abs0015title">AbstractPersistent pure ground-glass nodules (pGGNs) typically show an indolent course with very slow growth rates. These slow-growing lesions exhibit different growth patterns regardless of their initial computed tomography (CT) features. Therefore, predicting the aggressive behavior of pGGNs on initial CT remains a diagnostic challenge. The literature reports that computerized analysis and various quantitative features have been tested to improve the risk stratification for pGGNs.The present article describes the long-term follow-up of two pGGNs with different behavior and introduces, for the first time, a new computerized method of analysis that could be helpful for predicting the future behavior of pGGNs.
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机译：<！-fig ft0-> <！-fig @ position =“ anchor” mode =文章f4-> <！-fig mode =“ anchred” f5-> <！-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>关键字：纯玻璃结节，多探测器计算机断层扫描，计算机辅助图像分析，定量直方图分析，关注-最新研究 class =“ head no_bottom_margin” id =“ abs0015title”>摘要持久性纯磨玻璃结节（pGGN）通常显示出缓慢的生长过程，且生长速度非常缓慢。这些缓慢生长的病变表现出不同的生长模式，无论其最初的计算机断层扫描（CT）特征如何。因此，预测pGGNs在初始CT上的侵袭行为仍然是诊断上的挑战。文献报道，已经对计算机分析和各种定量特征进行了测试，以改善pGGN的风险分层。本文描述了两种行为不同的pGGN的长期随访，并首次介绍了一种新的计算机化方法分析可能有助于预测pGGN的未来行为。
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