CLINICAL RESEARCH e-ISSN 1643-3750 © Med Sci Monit, 2016; 22: 1318-1328 DOI: 10.12659/MSM.895755
Assessing Detection, Discrimination, and Risk of Breast Cancer According to Anisotropy Parameters of Diffusion Tensor Imaging
Received: 2015.08.24 Accepted: 2015.11.12 Published: 2016.04.20
Authors’ Contribution: Study Design A Data Collection B Analysis C Statistical Data Interpretation D Manuscript Preparation E Literature Search F Funds Collection G
BC 1,2 CE 2 DF 2 EF 2 AF 1
Ruisheng Jiang Xiangmin Zeng Shihang Sun Zhijun Ma Ximing Wang
1 Diagnostic Room of Computer Tomography, Shandong Medical Imaging Research Institute, Shandong University, Jinan, Shandong, P.R. China 2 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Qingzhou, Shandong, P.R. China
Corresponding Author: Source of support:
Ximing Wang, e-mail: [email protected] This study was supported by a grant from the Taishan Scholars Project no. 81371547 from the National Natural Science Foundation of China
Background:
Material/Methods:
Results:
Conclusions:
The aim of this study was to investigate whether the anisotropy parameters are helpful in the detection and discrimination of breast cancers, and to determine its value in predicting the risk of cancers. There were 56 patients with 56 lesions (34 malignant, 22 benign) included in the study. DTI was performed in every patient and apparent diffusion coefficient (ADC), fractional anisotropy (FA), and eigenvalues E1, E2, and E3 were measured in every lesion and the normal breast tissue. ADC, FA, and eigenvalues of E1, E2, E3, and E1–E3 in breast cancers were all significantly lower than in normal tissue (P0.05).
In this study, 56 lesions were identified on DCE-MRI in 56 women and categorized as BI-RADS 3, 4, or 5. All lesions were histologically confirmed by operation or puncture sampling. The lesions and their histological results are listed in Table 1. ADC, FA, E1, E2, and E3 were successfully measured in every lesion and the contralateral healthy breast tissue in carcinoma patients. The DTI maps for invasive ductal carcinoma are shown in Figure 1. Comparison of DTI measurements between carcinoma and normal tissue All 34 breast cancer patients were included in the paired DTI measures analysis. ADC, FA, E1, E2, E3, and E1–E3 were all significantly lower in breast cancers than those in normal breast tissue (Figure 2 and Table 2). The averaged differences between cancers and normal tissue in the same patients were calculated. The averaged differences of ADC, FA, E1, E2, E3, and E1–E3 between breast cancer and normal tissue were (0.46±0.31)×10–3 mm2/s, 0.05±0.04, (0.57±0.38)×10–3 mm2/s, (0.45±0.31)×10–3 mm2/s, (0.36±0.26)×10–3 mm2/s, and (0.23±0.16)×10–3 mm2/s, respectively, and the averaged reducing ratios were (32±17)%, (24±13)%, (33±19)%, (32±17)%, (31±18)%, and (37±20)%, respectively. The subgroups of invasive ductal cancers (IDC) and ductal carcinoma in situ (DCIS) were also compared to the normal tissue, and all of these 6 parameters were obviously lower in IDC and DCIS than in normal tissue, with a statistically significant difference (P
Assessing Detection, Discrimination, and Risk of Breast Cancer According to Anisotropy Parameters of Diffusion Tensor Imaging
Received: 2015.08.24 Accepted: 2015.11.12 Published: 2016.04.20
Authors’ Contribution: Study Design A Data Collection B Analysis C Statistical Data Interpretation D Manuscript Preparation E Literature Search F Funds Collection G
BC 1,2 CE 2 DF 2 EF 2 AF 1
Ruisheng Jiang Xiangmin Zeng Shihang Sun Zhijun Ma Ximing Wang
1 Diagnostic Room of Computer Tomography, Shandong Medical Imaging Research Institute, Shandong University, Jinan, Shandong, P.R. China 2 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Qingzhou, Shandong, P.R. China
Corresponding Author: Source of support:
Ximing Wang, e-mail: [email protected] This study was supported by a grant from the Taishan Scholars Project no. 81371547 from the National Natural Science Foundation of China
Background:
Material/Methods:
Results:
Conclusions:
The aim of this study was to investigate whether the anisotropy parameters are helpful in the detection and discrimination of breast cancers, and to determine its value in predicting the risk of cancers. There were 56 patients with 56 lesions (34 malignant, 22 benign) included in the study. DTI was performed in every patient and apparent diffusion coefficient (ADC), fractional anisotropy (FA), and eigenvalues E1, E2, and E3 were measured in every lesion and the normal breast tissue. ADC, FA, and eigenvalues of E1, E2, E3, and E1–E3 in breast cancers were all significantly lower than in normal tissue (P0.05).
In this study, 56 lesions were identified on DCE-MRI in 56 women and categorized as BI-RADS 3, 4, or 5. All lesions were histologically confirmed by operation or puncture sampling. The lesions and their histological results are listed in Table 1. ADC, FA, E1, E2, and E3 were successfully measured in every lesion and the contralateral healthy breast tissue in carcinoma patients. The DTI maps for invasive ductal carcinoma are shown in Figure 1. Comparison of DTI measurements between carcinoma and normal tissue All 34 breast cancer patients were included in the paired DTI measures analysis. ADC, FA, E1, E2, E3, and E1–E3 were all significantly lower in breast cancers than those in normal breast tissue (Figure 2 and Table 2). The averaged differences between cancers and normal tissue in the same patients were calculated. The averaged differences of ADC, FA, E1, E2, E3, and E1–E3 between breast cancer and normal tissue were (0.46±0.31)×10–3 mm2/s, 0.05±0.04, (0.57±0.38)×10–3 mm2/s, (0.45±0.31)×10–3 mm2/s, (0.36±0.26)×10–3 mm2/s, and (0.23±0.16)×10–3 mm2/s, respectively, and the averaged reducing ratios were (32±17)%, (24±13)%, (33±19)%, (32±17)%, (31±18)%, and (37±20)%, respectively. The subgroups of invasive ductal cancers (IDC) and ductal carcinoma in situ (DCIS) were also compared to the normal tissue, and all of these 6 parameters were obviously lower in IDC and DCIS than in normal tissue, with a statistically significant difference (P
