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

  • National Cancer Center Korea
  • The Catholic University of Korea, College of Medicine

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

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 2 cycles 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.

Original languageEnglish
Pages (from-to)27-33
Number of pages7
JournalMagnetic Resonance Imaging
Volume48
DOIs
StatePublished - May 2018

Bibliographical note

Publisher Copyright:
© 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast neoplasms
  • Diffusion
  • Magnetic resonance imaging
  • Neoadjuvant therapy

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