Primer for residents - Finding Early Invasive Breast Cancers: A Practical Approach
Jennifer A. Harvey, Brandi T. Nicholson, and Michael A. Cohen
Radiology 2008;248 61-76
Link to Article
Virginia resident review on strategies for assessing asymmetries and masses. This is also useful for established breast practitioners
Thursday, 19 June 2008
Invasive Breast Cancer: Predicting Disease Recurrence by Using High-Spatial-Resolution Signal Enhancement Ratio Imaging
Invasive Breast Cancer: Predicting Disease Recurrence by Using High-Spatial-Resolution Signal Enhancement Ratio Imaging
Ka-Loh Li, Savannah C. Partridge, Bonnie N. Joe, Jessica E. Gibbs, Ying Lu, Laura J. Esserman, and Nola M. Hylton
Radiology 2008;248 79-87
Link to journal
Our study results demonstrate that the size of tumor volume segmented by using set ranges of signal enhancement ratio (SER) values, combined with the spatial pattern of SER images obtained at high-spatial-resolution dynamic contrast-enhanced MR imaging, can be used to help identify those breast tumors at high risk for disease recurrence with high specificity even prior to preoperative chemotherapy.
Ka-Loh Li, Savannah C. Partridge, Bonnie N. Joe, Jessica E. Gibbs, Ying Lu, Laura J. Esserman, and Nola M. Hylton
Radiology 2008;248 79-87
Link to journal
Our study results demonstrate that the size of tumor volume segmented by using set ranges of signal enhancement ratio (SER) values, combined with the spatial pattern of SER images obtained at high-spatial-resolution dynamic contrast-enhanced MR imaging, can be used to help identify those breast tumors at high risk for disease recurrence with high specificity even prior to preoperative chemotherapy.
Invasive Breast Cancer: Predicting Disease Recurrence by Using High-Spatial-Resolution Signal Enhancement Ratio Imaging
Invasive Breast Cancer: Predicting Disease Recurrence by Using High-Spatial-Resolution Signal Enhancement Ratio Imaging
Ka-Loh Li, Savannah C. Partridge, Bonnie N. Joe, Jessica E. Gibbs, Ying Lu, Laura J. Esserman, and Nola M. Hylton
Radiology 2008;248 79-87
Link to journal
Our study results demonstrate that the size of tumor volume segmented by using set ranges of signal enhancement ratio (SER) values, combined with the spatial pattern of SER images obtained at high-spatial-resolution dynamic contrast-enhanced MR imaging, can be used to help identify those breast tumors at high risk for disease recurrence with high specificity even prior to preoperative chemotherapy.
Ka-Loh Li, Savannah C. Partridge, Bonnie N. Joe, Jessica E. Gibbs, Ying Lu, Laura J. Esserman, and Nola M. Hylton
Radiology 2008;248 79-87
Link to journal
Our study results demonstrate that the size of tumor volume segmented by using set ranges of signal enhancement ratio (SER) values, combined with the spatial pattern of SER images obtained at high-spatial-resolution dynamic contrast-enhanced MR imaging, can be used to help identify those breast tumors at high risk for disease recurrence with high specificity even prior to preoperative chemotherapy.
Invasive Breast Cancer: Predicting Disease Recurrence by Using High-Spatial-Resolution Signal Enhancement Ratio Imaging
Invasive Breast Cancer: Predicting Disease Recurrence by Using High-Spatial-Resolution Signal Enhancement Ratio Imaging
Ka-Loh Li, Savannah C. Partridge, Bonnie N. Joe, Jessica E. Gibbs, Ying Lu, Laura J. Esserman, and Nola M. Hylton
Radiology 2008;248 79-87
Link to journal
Our study results demonstrate that the size of tumor volume segmented by using set ranges of signal enhancement ratio (SER) values, combined with the spatial pattern of SER images obtained at high-spatial-resolution dynamic contrast-enhanced MR imaging, can be used to help identify those breast tumors at high risk for disease recurrence with high specificity even prior to preoperative chemotherapy.
Ka-Loh Li, Savannah C. Partridge, Bonnie N. Joe, Jessica E. Gibbs, Ying Lu, Laura J. Esserman, and Nola M. Hylton
Radiology 2008;248 79-87
Link to journal
Our study results demonstrate that the size of tumor volume segmented by using set ranges of signal enhancement ratio (SER) values, combined with the spatial pattern of SER images obtained at high-spatial-resolution dynamic contrast-enhanced MR imaging, can be used to help identify those breast tumors at high risk for disease recurrence with high specificity even prior to preoperative chemotherapy.
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