Perfusion- and pattern-based quantitative CT indexes using contrast-enhanced dual-energy computed tomography in diffuse interstitial lung disease: relationships with physiologic impairment and prediction of prognosis
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- 作者：Jung Won Moon ; Jang Pyo Bae ; Ho Yun Lee ; Namkug Kim ; Man Pyo Chung…
- 关键词：DECT ; DILD ; Perfusion ; or pattern ; based CT quantification parameters ; IPF/UIP ; Survival
- 刊名：European Radiology
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：26
- 期：5
- 页码：1368-1377
- 全文大小：511 KB
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Jang Pyo Bae (2)
Ho Yun Lee (3)
Namkug Kim (2)
Man Pyo Chung (4)
Hye Yun Park (4)
Yongjun Chang (2)
Joon Beom Seo (2)
Kyung Soo Lee (3)
1. Department of Radiology (J.W.M.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
2. Department of Radiology (J.P.B., N.K., Y.C., J.B.S.), Asan Medical Center, University of Ulsan College of Medicine, #88, Olympic-Ro, 43-gil, Songpa-gu, Seoul, 138-736, Korea
3. Department of Radiology and Center for Imaging Science (H.Y.L., K.S.L.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul, 135-710, Korea
4. Department of Pulmonology (M.P.C, H.Y.P), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea - 刊物类别：Medicine
- 刊物主题：Medicine & Public Health
Imaging and Radiology
Diagnostic Radiology
Interventional Radiology
Neuroradiology
Ultrasound
Internal Medicine - 出版者：Springer Berlin / Heidelberg
- ISSN：1432-1084
文摘
Objectives To evaluate automated texture-based segmentation of dual-energy CT (DECT) images in diffuse interstitial lung disease (DILD) patients and prognostic stratification by overlapping morphologic and perfusion information of total lung.