Automated classification of atherosclerotic plaque from magnetic resonance images using predictive models

Biosystems ◽  
2007 ◽  
Vol 90 (2) ◽  
pp. 456-466 ◽  
Author(s):  
Russell W. Anderson ◽  
Christopher Stomberg ◽  
Charles W. Hahm ◽  
Venkatesh Mani ◽  
Daniel D. Samber ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Atherosclerotic Plaque ◽  
Predictive Models ◽  
Magnetic Resonance Images ◽  
Automated Classification

scholarly journals Interobserver reliability of the classification of capitellar osteochondritis dissecans using magnetic resonance imaging

2019 ◽  
Vol 12 (4) ◽  
pp. 284-293 ◽  
Author(s):  
Rens Bexkens ◽  
F. Joseph Simeone ◽  
Denise Eygendaal ◽  
Michel PJ van den Bekerom ◽  
Luke S Oh ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Osteochondritis Dissecans ◽  
Interobserver Agreement ◽  
Interobserver Reliability ◽  
Lateral Wall ◽  
Magnetic Resonance Images ◽  
Resonance Imaging ◽  
Instability Criteria

Aim (1) To determine the interobserver reliability of magnetic resonance classifications and lesion instability criteria for capitellar osteochondritis dissecans lesions and (2) to assess differences in reliability between subgroups. Methods Magnetic resonance images of 20 patients with capitellar osteochondritis dissecans were reviewed by 33 observers, 18 orthopaedic surgeons and 15 musculoskeletal radiologists. Observers were asked to classify the osteochondritis dissecans according to classifications developed by Hepple, Dipaola/Nelson, Itsubo, as well as to apply the lesion instability criteria of DeSmet/Kijowski and Satake. Interobserver agreement was calculated using the multirater kappa (k) coefficient. Results Interobserver agreement ranged from slight to fair: Hepple (k = 0.23); Dipaola/Nelson (k = 0.19); Itsubo (k = 0.18); DeSmet/Kijowksi (k = 0.16); Satake (k = 0.12). When classifications/instability criteria were dichotomized into either a stable or unstable osteochondritis dissecans, there was more agreement for Hepple (k = 0.52; p = .002), Dipaola/Nelson (k = 0.38; p = .015), DeSmet/Kijowski (k = 0.42; p = .001) and Satake (k = 0.41; p < .001). Overall, agreement was not associated with the number of years in practice or the number of osteochondritis dissecans cases encountered per year (p > .05). Conclusion One should be cautious when assigning grades using magnetic resonance classifications for capitellar osteochondritis dissecans. When making treatment decisions, one should rather use relatively simple distinctions (e.g. stable versus unstable osteochondritis dissecans; lateral wall intact versus not intact), as these are more reliable.

Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images

2014 ◽  
Vol 123 ◽  
pp. 49-59 ◽  
Author(s):  
Anna C. Carli ◽  
Mário A.T. Figueiredo ◽  
Manuele Bicego ◽  
Vittorio Murino
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Images

Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images

2016 ◽  
Vol 73 ◽  
pp. 147-156 ◽  
Author(s):  
Lucas Frighetto-Pereira ◽  
Rangaraj Mandayam Rangayyan ◽  
Guilherme Augusto Metzner ◽  
Paulo Mazzoncini de Azevedo-Marques ◽  
Marcello Henrique Nogueira-Barbosa
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Images ◽  
Vertebral Compression Fractures ◽  
Statistical Features ◽  
Compression Fractures
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