Multicenter, Double-Blind, Randomized, Intraindividual Crossover Comparison of Gadobenate Dimeglumine and Gadopentetate Dimeglumine for Breast MR Imaging (DETECT Trial)
Laura Martincich, Matthieu Faivre-Pierret, Christian M. Zechmann, Stefano Corcione, Harrie C. M. van den Bosch, Wei-Jun Peng, Antonella Petrillo, Katja C. Siegmann, Johannes T. Heverhagen, Pietro Panizza, Hans-Bjorn Gehl, Felix Diekmann, Federica Pediconi, Lin Ma, Fiona J. Gilbert, Francesco Sardanelli, Paolo Belli, Marco Salvatore, Karl-Friedrich Kreitner, Claudia M. Weiss, and Chiara Zuiani
Radiology 2011; 258 396-408
Link to Journal
Gadobenate dimeglumine (0.1 mmol/kg) results in significantly (P [≤ ] . 0003) greater breast cancer detection rate and significantly (P [≤ ] . 0094) better diagnostic performance relative to that achieved with gadopentetate dimeglumine at an equivalent dose
Showing posts with label contrast. Show all posts
Showing posts with label contrast. Show all posts
Wednesday, 2 March 2011
Saturday, 13 March 2010
Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers
Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers
Neha Bhooshan, Maryellen L. Giger, Sanaz A. Jansen, Hui Li, Li Lan, and Gillian M. Newstead
Radiology 2010;254 680-690
Link to Journal
Study results show that our MR imaging computer-aided diagnosis algorithm, with use of a combination of computer-extracted MR imaging kinetic and morphologic features, has the potential to be extended to two prognostic tasks: (a) classification of noninvasive (ductal carcinoma in situ) versus invasive (invasive ductal carcinoma [IDC]) lesions and (b) further classification of IDC lesions into lesions with positive lymph nodes (LNs) and lesions with negative LNs.
Neha Bhooshan, Maryellen L. Giger, Sanaz A. Jansen, Hui Li, Li Lan, and Gillian M. Newstead
Radiology 2010;254 680-690
Link to Journal
Study results show that our MR imaging computer-aided diagnosis algorithm, with use of a combination of computer-extracted MR imaging kinetic and morphologic features, has the potential to be extended to two prognostic tasks: (a) classification of noninvasive (ductal carcinoma in situ) versus invasive (invasive ductal carcinoma [IDC]) lesions and (b) further classification of IDC lesions into lesions with positive lymph nodes (LNs) and lesions with negative LNs.
Labels:
breast MRI,
CAD,
computer-aided diagnosis algorithm,
contrast
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