title: Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesions.
abstract: The aim of this study was to investigate the value of quantitative 3-Tesla (3T) magnetic resonance (MR) assessment in the diagnosis of breast lesions. A total of 44 patients with breast lesions were selected. All the patients underwent MR plain scanning and T1 dynamic contrast-enhanced imaging. The vascular function parameters of the lesions, namely volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular volume fraction (Ve) and integrated area under the curve (iAUC), were acquired. These parameters were compared between benign and malignant breast lesions, and also among differential grades of invasive ductal carcinoma. The values of Ktrans, Kep and iAUC were significantly different between the benign and malignant tumors; however, the values of Ve in the benign and malignant tumors were not significantly different. The values of Ktrans, Kep and iAUC in invasive ductal carcinoma were significantly different between grade I and grade II, and between grade I and grade III; however, there was no significant difference between grade II and grade III. The Ve values in invasive ductal carcinoma did not significantly differ among grades I, II and III. Among the vascular function parameters, Ktrans exhibited the highest sensitivity and specificity in the differentiation of benign and malignant lesions. Quantitative 3-T MR assessment is valuable in the diagnosis of benign and malignant breast lesions. It can also provide reference values for the differentiation of the histological grade of breast invasive ductal carcinoma.
authors: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
authors: Zhen-Shen
authors: ZS
authors: Ma
authors: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
authors: DA-Wei
authors: DW
authors: Wang
authors: Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, Shandong 250012, P.R. China.
authors: Xiu-Bin
authors: XB
authors: Sun
authors: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
authors: Hao
authors: H
authors: Shi
authors: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
authors: Tao
authors: T
authors: Pang
authors: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
authors: Gui-Qing
authors: GQ
authors: Dong
authors: Department of Medical Imaging, Qianfoshan Hospital Affiliated to Shandong University, Jinan, Shandong 250014, P.R. China.
authors: Cheng-Qi
authors: CQ
authors: Zhang
keywords: breast lesions; differential diagnosis; dynamic contrast-enhanced magnetic resonance imaging; pathological grading; vascular function parameters