High-resolution CT analysis of facial struts in trauma: 2. Osseous and soft-tissue complications

1983 ◽  
Vol 140 (3) ◽  
pp. 533-541 ◽  
Author(s):  
LR Gentry ◽  
WF Manor ◽  
PA Turski ◽  
CM Strother
2021 ◽  
pp. 20200944
Author(s):  
Lucio Calandriello ◽  
Simon LF Walsh

In patients with idiopathic pulmonary fibrosis (IPF), there is an urgent need of biomarkers which can predict disease behaviour or response to treatment. Most published studies report results based on continuous data which can be difficult to apply to individual patients in clinical practice. Having antifibrotic therapies makes it even more important that we can accurately diagnose and prognosticate in IPF patients. Advances in computer technology over the past decade have provided computer-based methods for objectively quantifying fibrotic lung disease on high-resolution CT of the chest with greater strength than visual CT analysis scores. These computer-based methods and, more recently, the arrival of deep learning-based image analysis might provide a response to these unsolved problems. The purpose of this commentary is to provide insights into the problems associated with visual interpretation of HRCT, describe of the current technologies used to provide quantification of disease on HRCT and prognostication in IPF patients, discuss challenges to the implementation of this technology and future directions.


1983 ◽  
Vol 140 (3) ◽  
pp. 523-532 ◽  
Author(s):  
LR Gentry ◽  
WF Manor ◽  
PA Turski ◽  
CM Strother

2001 ◽  
Vol 176 (6) ◽  
pp. 1399-1407 ◽  
Author(s):  
Zhi-Gang Yang ◽  
Shusuke Sone ◽  
Shodayu Takashima ◽  
Feng Li ◽  
Takayuki Honda ◽  
...  

2020 ◽  
Author(s):  
Ahmad Alhourani ◽  
Zaid Aljuboori ◽  
Candice Nguyen ◽  
Heegok Yeo ◽  
Brian Williams ◽  
...  

1993 ◽  
Vol 29 (5) ◽  
pp. 896
Author(s):  
Tae Beom Kweon ◽  
Hun Seong ◽  
Mal Soon Cheon ◽  
Hack Jin Kim ◽  
Keung Jae Jang ◽  
...  

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