-
Sep. 2 (Thu),
09:50-11:20
Scientific Session (SS17)
Chest
All
English
Chair(s)
Ki Nam Lee(Korea)
-
Grand Ballroom 103, 1F
(Room 3)
COPD and interstitial lung disease
Jin-Hwan Kim(Korea)
-
09:50-10:00
Deep screening: a deep learning based screening model to predict pulmonary function through chest CT
Hyunjung Park (Korea)
-
10:00-10:10
Emphysema quantification using ultra-low-dose chest CT: efficacy of Deep Learning Based Image Reconstruction
Minhee Hwang (Korea)
-
10:10-10:20
Prospective evaluation of the performance of deep learning image reconstruction on low-dose and ultralow-dose chest CT
Seung-Jin Yoo (Korea)
-
10:20-10:30
Development and Validation of a Deep Learning-based Survival Prediction Algorithm on COPD Patients Utilizing Chest Radiographs
Ju Nam (Korea)
-
10:30-10:40
Ambient air pollution and quantitative CT measurement of body composition in COPD: a prospective study
SUYEON AHN (Korea)
-
10:40-10:50
Quantitative CT Analysis Of Ambient Particulate Matter Exposure-associated Multiscale Structure And Function Alteration In Healthy, Asthma, COPD, And IPF Lungs
Chang Hyun Lee (Korea)
-
10:50-11:00
Predictive value of interstitial lung abnormality on postoperative pulmonary complications in elderly patients with operable lung cancer
Won Gi Jeong (Korea)
-
11:00-11:10
Challenges of diagnosing interstitial lung abnormality (ILA) according to Fleischner Society guideline by using routine chest CT for a health screening: comparative analysis with ILA quantification
Min Seon Kim (Korea)
-
11:10-11:20
Usual Interstitial Pneumonia Pattern On Ct: Impact On Complications Associated With Percutaneous Transthoracic Needle Lung Biopsies
Jongsoo Park (Korea)