scholarly journals Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics

2011 ◽  
Vol 65 (6) ◽  
pp. 1759-1767 ◽  
Author(s):  
S. C. Partridge ◽  
H. Rahbar ◽  
R. Murthy ◽  
X. Chai ◽  
B. F. Kurland ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Diffusion Coefficients ◽  
Breast Mri ◽  
Apparent Diffusion Coefficients ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Apparent Diffusion

scholarly journals Comparison of Dynamic and Liver-Specific Gadoxetic Acid Contrast-Enhanced MRI versus Apparent Diffusion Coefficients

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e61898 ◽  
Author(s):  
John N. Morelli ◽  
Henrik J. Michaely ◽  
Mathias M. Meyer ◽  
Thassilo Rustemeyer ◽  
Stefan O. Schoenberg ◽  
...  
Keyword(s):  
Diffusion Coefficients ◽  
Gadoxetic Acid ◽  
Apparent Diffusion Coefficients ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Apparent Diffusion ◽  
Contrast Enhanced Mri

scholarly journals Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 330
Author(s):  
Mio Adachi ◽  
Tomoyuki Fujioka ◽  
Mio Mori ◽  
Kazunori Kubota ◽  
Yuka Kikuchi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Magnetic Resonance ◽  
Diagnostic Performance ◽  
Maximum Intensity Projection ◽  
Breast Mri ◽  
Magnetic Resonance Images ◽  
Maximum Intensity ◽  
Validation Data ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

We aimed to evaluate an artificial intelligence (AI) system that can detect and diagnose lesions of maximum intensity projection (MIP) in dynamic contrast-enhanced (DCE) breast magnetic resonance imaging (MRI). We retrospectively gathered MIPs of DCE breast MRI for training and validation data from 30 and 7 normal individuals, 49 and 20 benign cases, and 135 and 45 malignant cases, respectively. Breast lesions were indicated with a bounding box and labeled as benign or malignant by a radiologist, while the AI system was trained to detect and calculate possibilities of malignancy using RetinaNet. The AI system was analyzed using test sets of 13 normal, 20 benign, and 52 malignant cases. Four human readers also scored these test data with and without the assistance of the AI system for the possibility of a malignancy in each breast. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were 0.926, 0.828, and 0.925 for the AI system; 0.847, 0.841, and 0.884 for human readers without AI; and 0.889, 0.823, and 0.899 for human readers with AI using a cutoff value of 2%, respectively. The AI system showed better diagnostic performance compared to the human readers (p = 0.002), and because of the increased performance of human readers with the assistance of the AI system, the AUC of human readers was significantly higher with than without the AI system (p = 0.039). Our AI system showed a high performance ability in detecting and diagnosing lesions in MIPs of DCE breast MRI and increased the diagnostic performance of human readers.

scholarly journals Heterogeneity of Apparent Diffusion Coefficients Within Infarcts

Stroke ◽  
2001 ◽  
Vol 32 (7) ◽  
pp. 1695-1696
Author(s):  
Pratik Mukherjee ◽  
Robert C. McKinstry ◽  
Joshua S. Shimony ◽  
Erbil Akbudak ◽  
Abraham Z. Snyder ◽  
...  
Keyword(s):  
Diffusion Coefficients ◽  
Apparent Diffusion Coefficients ◽  
Apparent Diffusion

Minimum apparent diffusion coefficients in the evaluation of brain tumors

2005 ◽  
Vol 55 (3) ◽  
pp. 393-400 ◽  
Author(s):  
Omer Kitis ◽  
Hakan Altay ◽  
Cem Calli ◽  
Nilgun Yunten ◽  
Taner Akalin ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Diffusion Coefficients ◽  
Apparent Diffusion Coefficients ◽  
Apparent Diffusion

Variable spatiotemporal resolution three-dimensional dixon sequence for rapid dynamic contrast-enhanced breast MRI

2014 ◽  
Vol 40 (6) ◽  
pp. spcone-spcone
Author(s):  
Manojkumar Saranathan ◽  
Dan W. Rettmann ◽  
Brian A. Hargreaves ◽  
Jafi A. Lipson ◽  
Bruce L. Daniel
Keyword(s):  
Three Dimensional ◽  
Breast Mri ◽  
Spatiotemporal Resolution ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Characterization of Metastatic Sternal Lesions on Dynamic Contrast-Enhanced Breast MRI in Women with Invasive Breast Cancer

2019 ◽  
Vol 26 (10) ◽  
pp. 1358-1362
Author(s):  
Amie Y. Lee ◽  
Ryan Navarro ◽  
Lindsay P. Busby ◽  
Heather I. Greenwood ◽  
Matthew D. Bucknor ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Breast Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced
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