Diffusion-weighted imaging of the parotid gland: Influence of the choice ofb-values on the apparent diffusion coefficient value

2004 ◽  
Vol 20 (5) ◽  
pp. 786-790 ◽  
Author(s):  
Harriet C. Thoeny ◽  
Frederik De Keyzer ◽  
Chris Boesch ◽  
Robert Hermans
Keyword(s):  
Diffusion Coefficient ◽  
Parotid Gland ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Diffusion Weighted ◽  
Apparent Diffusion Coefficient Value ◽  
Apparent Diffusion

scholarly journals Diffusion-Weighted Imaging of the Parotid Gland: Can the Apparent Diffusion Coefficient Discriminate Between Normal and Abnormal Parotid Gland Tissues?

2017 ◽  
Vol 39 (3) ◽  
pp. 125-130 ◽  
Author(s):  
Ayman Mohamed Abdel Mottelb Aly Nada ◽  
Ayda Aly Youssef ◽  
Ayman Abdel Hamid El Basmy ◽  
Ayman Abdel Wahab Amin ◽  
Ahmed Mohamed Shokry
Keyword(s):  
Diffusion Coefficient ◽  
Parotid Gland ◽  
Apparent Diffusion Coefficient ◽  
Diffusion Weighted Imaging ◽  
Diffusion Weighted ◽  
Apparent Diffusion

scholarly journals Classification of paediatric brain tumours by diffusion weighted imaging and machine learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jan Novak ◽  
Niloufar Zarinabad ◽  
Heather Rose ◽  
Theodoros Arvanitis ◽  
Lesley MacPherson ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Posterior Fossa ◽  
Brain Tumours ◽  
Diffusion Weighted Imaging ◽  
Regions Of Interest ◽  
Apparent Diffusion Coefficients ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Paediatric Brain Tumours

AbstractTo determine if apparent diffusion coefficients (ADC) can discriminate between posterior fossa brain tumours on a multicentre basis. A total of 124 paediatric patients with posterior fossa tumours (including 55 Medulloblastomas, 36 Pilocytic Astrocytomas and 26 Ependymomas) were scanned using diffusion weighted imaging across 12 different hospitals using a total of 18 different scanners. Apparent diffusion coefficient maps were produced and histogram data was extracted from tumour regions of interest. Total histograms and histogram metrics (mean, variance, skew, kurtosis and 10th, 20th and 50th quantiles) were used as data input for classifiers with accuracy determined by tenfold cross validation. Mean ADC values from the tumour regions of interest differed between tumour types, (ANOVA P < 0.001). A cut off value for mean ADC between Ependymomas and Medulloblastomas was found to be of 0.984 × 10−3 mm2 s−1 with sensitivity 80.8% and specificity 80.0%. Overall classification for the ADC histogram metrics were 85% using Naïve Bayes and 84% for Random Forest classifiers. The most commonly occurring posterior fossa paediatric brain tumours can be classified using Apparent Diffusion Coefficient histogram values to a high accuracy on a multicentre basis.

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