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Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances

机译：使用基线和随访胸部CT图像之间的肺气肿评分进展率预测全因和肺癌死亡率：风险模型表现的比较

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PurposeNormalized emphysema score is a protocol-robust CT biomarker of mortality. We aimed to improve mortality prediction by including the emphysema score progression rate–its change over time–into the models.

机译：目的归一化肺气肿评分是一种针对病死率的可靠的CT生物标记。我们旨在通过将肺气肿评分进展率（其随时间的变化）纳入模型来改善死亡率预测。

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Anton Schreuder; Colin Jacobs; Leticia Gallardo-Estrella; Mathias Prokop; Cornelia M. Schaefer-Prokop; Bram van Ginneken;
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年(卷),期 -1(14),2
年度 -1
页码 e0212756
总页数 19
原文格式 PDF
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1. Osteoporosis markers on low-dose lung cancer screening chest computed tomography scans predict all-cause mortality [J] . Buckens C. F., van der Graaf Y., Verkooijen H. M., European radiology . 2015,第1期

机译：骨质疏松症上的低剂量肺癌筛查胸部计算机断层扫描扫描预测全面死亡率
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机译：在BEIR VI风险模型中对Rad诱发的肺癌基线肺癌死亡率的调整
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机译：肺癌筛查计算机断层扫描中冠状动脉钙化的视觉评分：与全因和心血管死亡风险的关系
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5. Predicting Changes in Lung Structure and Function During Emphysema Progression Through Network Modeling Methods [D] . Murthy, Samhita. 2021

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Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances

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