계명대학교 의학도서관 Repository

Intravoxel incoherent motion diffusion-weighted MRI for predicting response to neoadjuvant chemotherapy in breast cancer

Metadata Downloads
Author(s)
Yunju KimSung Hun KimHye Won LeeByung Joo SongBong Joo KangAhwon LeeYoonho Nam
Keimyung Author(s)
Lee, Hye Won
Department
Dept. of Pathology (병리학)
Journal Title
Magnetic Resonance Imaging
Issued Date
2018
Volume
48
Keyword
Breast neoplasmsDiffusionMagnetic resonance imagingNeoadjuvant therapy
Abstract
PURPOSE:

To determine the diagnostic performance of intravoxel incoherent motion (IVIM) diffusion-weighted (DW) magnetic resonance imaging (MRI) parameters in predicting response to neoadjuvant chemotherapy (NAC) in breast cancer patients.

MATERIALS AND METHODS:

Forty-six patients with stage II or III breast cancer underwent MRI including DW imaging with 10 b values before and after 2cycles of NAC. Apparent diffusion coefficient (ADC) and IVIM parameters (D, D*, and f) were obtained using histogram analysis derived from whole-tumor volumes. After surgery, imaging parameters were compared with histopathologic responses using the Miller-Payne grading system.

RESULTS:

Before NAC, Dmean, D50, and D75 were higher in good responders than in minor responders (P≤0.043). After NAC, ADCmean, ADC50, ADC75, Dmean, D25, D50, and D75 were higher in good responders (P≤0.037). Skewness of ADC and D were lower in good responders after NAC (P≤0.005). Most histogram metrics of posttreatment ADC and D had similar AUC values with reasonable accuracy for prediction of good response (AUC≥0.7, P<0.05).

CONCLUSION:

D and ADC are useful for the prediction of response to NAC in breast cancer patients. Additional information is obtained by application of the IVIM model in DW imaging analysis and histogram analysis using whole-tumor volume data.
Keimyung Author(s)(Kor)
이혜원
Publisher
School of Medicine (의과대학)
Citation
Yunju Kim et al. (2018). Intravoxel incoherent motion diffusion-weighted MRI for predicting response to neoadjuvant chemotherapy in breast cancer. Magnetic Resonance Imaging, 48, 27–33. doi: 10.1016/j.mri.2017.12.018
Type
Article
ISSN
0730-725X
Source
https://linkinghub.elsevier.com/retrieve/pii/S0730-725X(17)30294-1
DOI
10.1016/j.mri.2017.12.018
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/41320
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Pathology (병리학)
공개 및 라이선스
  • 공개 구분공개
  • 엠바고Forever
파일 목록

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.