Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer
Objectives. To investigate the association between quantitative parameters generated using synthetic magnetic resonance imaging (SyMRI) and diffusion-weighted imaging (DWI) and Ki-67 expression level in patients with invasive ductal breast cancer (IDC). Method. We retrospectively reviewed the record...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | The Breast Journal |
| Online Access: | http://dx.doi.org/10.1155/2023/6746326 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547891740147712 |
|---|---|
| author | Liying Zhang Jisen Hao Jia Guo Xin Zhao Xing Yin |
| author_facet | Liying Zhang Jisen Hao Jia Guo Xin Zhao Xing Yin |
| author_sort | Liying Zhang |
| collection | DOAJ |
| description | Objectives. To investigate the association between quantitative parameters generated using synthetic magnetic resonance imaging (SyMRI) and diffusion-weighted imaging (DWI) and Ki-67 expression level in patients with invasive ductal breast cancer (IDC). Method. We retrospectively reviewed the records of patients with IDC who underwent SyMRI and DWI before treatment. Precontrast and postcontrast relaxation times (T1, longitudinal; T2, transverse), proton density (PD) parameters, and apparent diffusion coefficient (ADC) values were measured in breast lesions. Univariate and multivariate regression analyses were performed to screen for statistically significant variables to differentiate the high (≥30%) and low (<30%) Ki-67 expression groups. Their performance was evaluated by receiver operating characteristic (ROC) curve analysis. Results. We analyzed 97 patients. Multivariate regression analysis revealed that the high Ki-67 expression group (n = 57) had significantly higher parameters generated using SyMRI (pre-T1, p=0.001) and lower ADC values (p=0.036) compared with the low Ki-67 expression group (n = 40). Pre-T1 showed the best diagnostic performance for predicting the Ki-67 expression level in patients with invasive ductal breast cancer (areas under the ROC curve (AUC), 0.711; 95% confidence interval (CI), 0.609–0.813). Conclusions. Pre-T1 could be used to predict the pretreatment Ki-67 expression level in invasive ductal breast cancer. |
| format | Article |
| id | doaj-art-01c8633917504e27991e1264300bf865 |
| institution | Kabale University |
| issn | 1524-4741 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Breast Journal |
| spelling | doaj-art-01c8633917504e27991e1264300bf8652025-02-03T06:42:51ZengWileyThe Breast Journal1524-47412023-01-01202310.1155/2023/6746326Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast CancerLiying Zhang0Jisen Hao1Jia Guo2Xin Zhao3Xing Yin4Third Affiliated Hospital of Zhengzhou UniversityThird Affiliated Hospital of Zhengzhou UniversityThird Affiliated Hospital of Zhengzhou UniversityThird Affiliated Hospital of Zhengzhou UniversityThird Affiliated Hospital of Zhengzhou UniversityObjectives. To investigate the association between quantitative parameters generated using synthetic magnetic resonance imaging (SyMRI) and diffusion-weighted imaging (DWI) and Ki-67 expression level in patients with invasive ductal breast cancer (IDC). Method. We retrospectively reviewed the records of patients with IDC who underwent SyMRI and DWI before treatment. Precontrast and postcontrast relaxation times (T1, longitudinal; T2, transverse), proton density (PD) parameters, and apparent diffusion coefficient (ADC) values were measured in breast lesions. Univariate and multivariate regression analyses were performed to screen for statistically significant variables to differentiate the high (≥30%) and low (<30%) Ki-67 expression groups. Their performance was evaluated by receiver operating characteristic (ROC) curve analysis. Results. We analyzed 97 patients. Multivariate regression analysis revealed that the high Ki-67 expression group (n = 57) had significantly higher parameters generated using SyMRI (pre-T1, p=0.001) and lower ADC values (p=0.036) compared with the low Ki-67 expression group (n = 40). Pre-T1 showed the best diagnostic performance for predicting the Ki-67 expression level in patients with invasive ductal breast cancer (areas under the ROC curve (AUC), 0.711; 95% confidence interval (CI), 0.609–0.813). Conclusions. Pre-T1 could be used to predict the pretreatment Ki-67 expression level in invasive ductal breast cancer.http://dx.doi.org/10.1155/2023/6746326 |
| spellingShingle | Liying Zhang Jisen Hao Jia Guo Xin Zhao Xing Yin Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer The Breast Journal |
| title | Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer |
| title_full | Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer |
| title_fullStr | Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer |
| title_full_unstemmed | Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer |
| title_short | Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer |
| title_sort | predicting of ki 67 expression level using diffusion weighted and synthetic magnetic resonance imaging in invasive ductal breast cancer |
| url | http://dx.doi.org/10.1155/2023/6746326 |
| work_keys_str_mv | AT liyingzhang predictingofki67expressionlevelusingdiffusionweightedandsyntheticmagneticresonanceimagingininvasiveductalbreastcancer AT jisenhao predictingofki67expressionlevelusingdiffusionweightedandsyntheticmagneticresonanceimagingininvasiveductalbreastcancer AT jiaguo predictingofki67expressionlevelusingdiffusionweightedandsyntheticmagneticresonanceimagingininvasiveductalbreastcancer AT xinzhao predictingofki67expressionlevelusingdiffusionweightedandsyntheticmagneticresonanceimagingininvasiveductalbreastcancer AT xingyin predictingofki67expressionlevelusingdiffusionweightedandsyntheticmagneticresonanceimagingininvasiveductalbreastcancer |