These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Intravoxel incoherent motion diffusion-weighted MRI for predicting response to neoadjuvant chemotherapy in breast cancer.
    Author: Kim Y, Kim SH, Lee HW, Song BJ, Kang BJ, Lee A, Nam Y.
    Journal: Magn Reson Imaging; 2018 May; 48():27-33. PubMed ID: 29278762.
    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.
    [Abstract] [Full Text] [Related] [New Search]