BACKGROUND AND OBJECTIVE: Magnetic resonance imaging (MRI), an advanced non-invasive technique, is regarded as one of the potential modalities in the diagnosis of breast cancer. This study was to investigate the application of dynamic contrast enhancement MRI and 3D reconstruction images in diagnosing breast tumors. METHODS: From May 2006 to September 2007, 30 patients with breast diseases were scanned with MRI in Sun Yat-sen University Cancer Center. MR plain scans, dynamic contrast enhancement scans were performed, and 3D reconstruction images were obtained. The normal breast tissue was used as control, and the maximum slope ratio was calculated. RESULTS: Forty-nine lesions were found in 30 patients, with an accuracy rate of 93.3%. CONCLUSION: MRI scan is an effective and specific modality for the diagnosis of breast diseases with high sensitivity and accuracy. Dynamic contrast enhancement MRI, image subtraction, time-signal intensity curve, 3D reconstruction images and the maximum slope ratio are helpful to make the correct diagnosis of breast lesions.
BACKGROUND AND OBJECTIVE: Magnetic resonance imaging (MRI), an advanced non-invasive technique, is regarded as one of the potential modalities in the diagnosis of breast cancer. This study was to investigate the application of dynamic contrast enhancement MRI and 3D reconstruction images in diagnosing breast tumors. METHODS: From May 2006 to September 2007, 30 patients with breast diseases were scanned with MRI in Sun Yat-sen University Cancer Center. MR plain scans, dynamic contrast enhancement scans were performed, and 3D reconstruction images were obtained. The normal breast tissue was used as control, and the maximum slope ratio was calculated. RESULTS: Forty-nine lesions were found in 30 patients, with an accuracy rate of 93.3%. CONCLUSION: MRI scan is an effective and specific modality for the diagnosis of breast diseases with high sensitivity and accuracy. Dynamic contrast enhancement MRI, image subtraction, time-signal intensity curve, 3D reconstruction images and the maximum slope ratio are helpful to make the correct diagnosis of breast lesions.