Diffusion-Weighted Imaging Features of Urachal Abscess

2008 ◽  
Author(s):  
Ozgur Kilickesmez ◽  
Arda Kayhan ◽  
Bengi Gürses ◽  
Neslihan Tasdelen ◽  
Baki Ekci ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Imaging Features ◽  
Diffusion Weighted ◽  
Urachal Abscess

Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging

2016 ◽  
Vol 27 (4) ◽  
pp. 1748-1759 ◽  
Author(s):  
Emad Lotfalizadeh ◽  
Maxime Ronot ◽  
Mathilde Wagner ◽  
Jérôme Cros ◽  
Anne Couvelard ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Diffusion Weighted Imaging ◽  
Neuroendocrine Tumour ◽  
Added Value ◽  
Imaging Features ◽  
Tumour Grade ◽  
Diffusion Weighted ◽  
Pancreatic Neuroendocrine Tumour

scholarly journals Clinical-radiomics nomograms for pre-operative differentiation of sacral chordoma and sacral giant cell tumor based on 3D computed tomography and multiparametric magnetic resonance imaging

2019 ◽  
Vol 92 (1101) ◽  
pp. 20190155 ◽  
Author(s):  
Ping Yin ◽  
Ning Mao ◽  
Sicong Wang ◽  
Chao Sun ◽  
Nan Hong
Keyword(s):  
Giant Cell Tumor ◽  
Giant Cell ◽  
Diffusion Weighted Imaging ◽  
Cell Tumor ◽  
Imaging Features ◽  
Model Based ◽  
Sacral Chordoma ◽  
Diffusion Weighted ◽  
Mixed Features ◽  
Ct Features

Objective: To develop and validate clinical-radiomics nomograms based on three-dimensional CT and multiparametric MRI (mpMRI) for pre-operative differentiation of sacral chordoma (SC) and sacral giant cell tumor (SGCT). Methods: A total of 83 SC and 54 SGCT patients diagnosed through surgical pathology were retrospectively analyzed. We built six models based on CT, CT enhancement (CTE), T1 weighted, T2 weighted, diffusion-weighted imaging (DWI), and contrast-enhanced T1 weighted features, two radiomics nomograms and two clinical-radiomics nomograms combined radiomics mixed features with clinical data. The area under the receiver operating characteristic curve (AUC) and accuracy (ACC) analysis were used to assess the performance of the models. Results: SC and SGCT presented significant differences in terms of age, sex, and tumor location (tage = 9.00, χ2sex = 10.86, χ2location = 26.20; p < 0.01). For individual scan, the radiomics model based on diffusion-weighted imaging features yielded the highest AUC of 0.889 and ACC of 0.885, followed by CT (AUC = 0.857; ACC = 0.846) and CT enhancement (AUC = 0.833; ACC = 0.769). For the combined features, the radiomics model based on mixed CT features exhibited a better AUC of 0.942 and ACC of 0.880, whereas mixed MRI features achieved a lower performance than the individual scan. The clinical-radiomics nomogram based on combined CT features achieved the highest AUC of 0.948 and ACC of 0.920. Conclusions: The radiomics model based on CT and multiparametricMRI present a certain predictive value in distinguishing SC and SGCT, which can be used for auxiliary diagnosis before operation. The clinical-radiomics nomograms performed better than radiomics nomograms. Advances in knowledge: Clinical-radiomics nomograms based on CT and mpMRI features can be used for preoperative differentiation of SC and SGCT.

scholarly journals Non-cardioembolic Mechanisms in Cryptogenic Stroke: Clinical and Diffusion-weighted Imaging Features

2005 ◽  
Vol 1 (1) ◽  
pp. 50 ◽  
Author(s):  
Oh Young Bang ◽  
Phil Hyu Lee ◽  
Seung Hyeon Yeo ◽  
Ji Won Kim ◽  
In Soo Joo ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Cryptogenic Stroke ◽  
Imaging Features ◽  
Diffusion Weighted ◽  
And Diffusion

Diffusion-weighted imaging features of brain in obesity

2008 ◽  
Vol 26 (4) ◽  
pp. 446-450 ◽  
Author(s):  
Alpay Alkan ◽  
Ibrahim Sahin ◽  
Lezan Keskin ◽  
Ayse Sertkaya Cikim ◽  
Hakki Muammer Karakas ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Imaging Features ◽  
Diffusion Weighted

Imaging features of small (≤3 cm) pancreatic solid tumors on gadoxetic-acid-enhanced MR imaging and diffusion-weighted imaging: an initial experience

2012 ◽  
Vol 30 (7) ◽  
pp. 916-925 ◽  
Author(s):  
Kyung Mi Jang ◽  
Seong Hyun Kim ◽  
Young Kon Kim ◽  
Min Jung Park ◽  
Mi Hee Lee ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Solid Tumors ◽  
Diffusion Weighted Imaging ◽  
Gadoxetic Acid ◽  
Imaging Features ◽  
Initial Experience ◽  
Diffusion Weighted ◽  
And Diffusion

Giant Axonal Neuropathy: Diffusion-Weighted Imaging Features of the Brain

2006 ◽  
Vol 21 (10) ◽  
pp. 912-915 ◽  
Author(s):  
Alpay Alkan ◽  
Ahmet Sigirci ◽  
Ramazan Kutlu ◽  
Selim Doganay ◽  
Gulnur Erdem ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Axonal Neuropathy ◽  
Imaging Features ◽  
Giant Axonal Neuropathy ◽  
Diffusion Weighted ◽  
The Brain
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