Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis

Seo Joon Beom; Oh Sang Young; Kim Tae Hoon; Song Jin Woo; Lee Sang Min; Kim Namkug

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Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis

机译：基于纹理的自动定量评估在特发性肺纤维化中的基于纹理的自动定量评估预测

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摘要

To retrospectively investigate whether the baseline extent and 1-year change in regional disease patterns on CT can predict survival of patients with idiopathic pulmonary fibrosis (IPF).

机译：回顾性地调查CT的区域疾病模式的基线程度和1年的变化是否可以预测特发性肺纤维化（IPF）的生存。

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《European radiology》 |2018年第3期|共8页
作者
Seo Joon Beom; Oh Sang Young; Kim Tae Hoon; Song Jin Woo; Lee Sang Min; Kim Namkug;
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作者单位

Univ Ulsan Coll Med Asan Med Ctr Dept Radiol 88 Olymp Ro 43 Gil Seoul 138736 South Korea;

Univ Ulsan Coll Med Asan Med Ctr Dept Radiol 88 Olymp Ro 43 Gil Seoul 138736 South Korea;

Univ Ulsan Coll Med Asan Med Ctr Dept Pulm &

Crit Care Med Seoul South Korea;

Univ Ulsan Coll Med Asan Med Ctr Dept Pulm &

Crit Care Med Seoul South Korea;

Univ Ulsan Coll Med Asan Med Ctr Dept Radiol 88 Olymp Ro 43 Gil Seoul 138736 South Korea;

Univ Ulsan Coll Med Asan Med Ctr Dept Radiol 88 Olymp Ro 43 Gil Seoul 138736 South Korea;

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原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
Idiopathic pulmonary fibrosis; CT; Quantification; Texture analysis; Survival;

机译：特发性肺纤维化;CT;量化;纹理分析;生存;

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专利

1. Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis [J] . Seo Joon Beom, Oh Sang Young, Kim Tae Hoon, European radiology . 2018,第3期

机译：基于纹理的自动定量评估在特发性肺纤维化中的基于纹理的自动定量评估预测
2. Quantitative assessment of change in regional disease patterns on serial HRCT of fibrotic interstitial pneumonia with texture-based automated quantification system. [J] . Ra Gyoung Yoon, Joon Beom Seo, Namkug Kim, European radiology . 2013,第3期

机译：基于纹理的自动定量系统，对纤维化间质性肺炎的连续HRCT进行区域疾病模式变化的定量评估。
3. Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis [J] . MaldonadoF., MouaT., RajagopalanS., The European respiratory journal : . 2014,第1期

机译：放射学模式的自动量化可预测特发性肺纤维化的生存
4. Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictions [C] . Jorie D. Budzikowski, Ahmed A. Rashid, Joseph J. Foy, Medical Imaging Conference . 2020

机译：基于放射学的特发性肺纤维化纹理分析，用于遗传和生存预测
5. Domain Knowledge-Assisted Methods for a Weakly Supervised Task: Automated Diagnosis of Idiopathic Pulmonary Fibrosis using High Resolution Computed Tomography Scans [D] . Yu, Wenxi. 2021

机译：用于弱监督任务的域知识辅助方法：使用高分辨率计算断层扫描的特发性肺纤维化自动诊断
6. Assessment of survival in patients with idiopathic pulmonary fibrosis using quantitative HRCT indexes [O] . Sebastiano Emanuele Torrisi, Stefano Palmucci, Alessandro Stefano, 2018

机译：使用定量HRCT指数评估特发性肺纤维化患者的生存率
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Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis

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