Lung Fields Segmentation Algorithm in Chest Radiography

2014 ◽  
pp. 137-144
Author(s):  
Guodong Zhang ◽  
Lin Cong ◽  
Liu Wang ◽  
Wei Guo
Keyword(s):  
Chest Radiography ◽  
Segmentation Algorithm

Aortic arch calcification is strongly associated with coronary artery calcification

VASA ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Adem Adar ◽  
Hakan Erkan ◽  
Tayyar Gokdeniz ◽  
Aysegul Karadeniz ◽  
Ismail G. Cavusoglu ◽  
...  
Keyword(s):  
Coronary Artery ◽  
High Risk ◽  
Aortic Arch ◽  
Chest Radiography ◽  
Coronary Artery Calcification ◽  
Independent Predictor ◽  
Study Group ◽  
Discriminative Performance ◽  
Sensitivity Specificity ◽  
Aortic Arch Calcification

Background: We aimed to investigate the association between aortic arch and coronary artery calcification (CAC). We postulated that low‐ and high‐risk CAC scores could be predicted with the evaluation of standard chest radiography for aortic arch calcification (AAC). Patients and methods: Consecutive patients who were referred for a multidetector computerized tomography (MDCT) examination were enrolled prospectively. All patients were scanned using a commercially available 64‐slice MDCT scanner for the evaluation of CAC score. A four‐point grading scale (0, 1, 2 and 3) was used to evaluate AAC on the standard posterior‐anterior chest radiography images. Results: The study group consisted of 248 patients. Median age of the study group was 52 (IQR: 10) years, and 165 (67 %) were male. AAC grades (r = 0.676, p < 0.0001) and age (r = 0.518, p < 0.0001) were significantly and positively correlated with CAC score. Presence of AAC was independently associated with the presence of CAC (OR: 11.20, 95 % CI 4.25 to 29.52). An AAC grade of ≥ 2 was the strongest independent predictor of a high‐risk CAC score (OR: 27.42, 95 % CI 6.09 to 123.52). Receiver operating characteristics curve analysis yielded a strong predictive ability of AAC grades for a CAC score of ≥ 100 (AUC = 0.892, P < 0.0001), and ≥ 400 (AUC = 0.894, P < 0.0001). Absence of AAC had a sensitivity, specificity and accuracy of 90 %, 84 % and 89 %, respectively, for a CAC score of < 100. An AAC grade of ≥ 2 predicted a CAC score of ≥400 with a sensitivity, specificity and accuracy of 68 %, 98 % and 95 %, respectively. Conclusions: AAC is a strong and independent predictor of CAC. The discriminative performance of AAC is high in detecting patients with low‐ and high‐risk CAC scores.

Aortic calcification on plain chest radiography predicts embolic complications during carotid artery stenting

2008 ◽  
Vol 35 (S 01) ◽  
Author(s):  
K Wasser ◽  
K Gröschel ◽  
S.M Pilgram ◽  
U Ernemann ◽  
S Schnaudigel ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Chest Radiography ◽  
Carotid Artery Stenting ◽  
Aortic Calcification ◽  
Plain Chest

Improving the quality of positioning and reducing the rotation factor during pediatric portable chest radiography using infant immobilizer

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Alireza Mahmoudabadi ◽  
Majid Sadeghi Moghadam ◽  
Moosa Sajjadi ◽  
Majid Shams ◽  
Leila Ameri
Keyword(s):  
Chest Radiography ◽  
Portable Chest ◽  
Rotation Factor

Quality assurance of the bedside chest radiography process

1994 ◽  
Vol 35 (3) ◽  
pp. 235-243 ◽  
Author(s):  
Hanna Pohjonen ◽  
S. Bondestam ◽  
P. Karp ◽  
J. Kinnunen ◽  
O. Korhola ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Chest Radiography

Normal Age-Related Alterations on Chest Radiography

1993 ◽  
Vol 34 (1) ◽  
pp. 53-58 ◽  
Author(s):  
F. Mihara ◽  
T. Fukuya ◽  
H. Nakata ◽  
S. Mizuno ◽  
W. J. Russell ◽  
...  
Keyword(s):  
Chest Radiography ◽  
Age Related
Sign in / Sign up

Export Citation Format

Share Document