Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging: Initial results

Edna Furman-Haran, Noam Nissan, Veronica Ricart-Selma, Carmen Martinez-Rubio, Hadassa Degani, Julia Camps-Herrero*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

BackgroundDiffusion tensor imaging (DTI) yields several parameters that have not been tested in response evaluation to neoadjuvant chemotherapy (NAC).

PurposeTo evaluate and compare in reference to histopathology findings the ability of DTI and dynamic contrast-enhanced (DCE) MRI to monitor response to NAC.

Study TypeRetrospective.

PopulationTwenty patients treated with neoadjuvant chemotherapy.

Field Strength/Sequence1.5T MRI axial, bilateral T-2-weighted, DTI, and DCE-MRI.

AssessmentA standardized blinded image analysis at pixel resolution generated color-coded maps of DTI and DCE parameters

Statistical TestsPearson's correlation analysis and Bland-Altman plots of the DTI and DCE size changes and of the pathological final residual tumor diameter and DCE or DTI final diameter, from pre- to post-NAC. Spearman coefficient of rank correlation between the DTI and DCE size changes from pre- to post-NAC and Miller and Payne (M&P) pathological response grading. Receiver operating characteristic curve analyses to differentiate between responders to nonresponders on the basis of the DTI and DCE percent size changes and the changes in DTI parameters.

ResultsDTI and DCE changes in the cancers' diameter and volume from pre- to post-NAC exhibited high and significant Pearson correlation (r=0.82 P=1.2 x 10(-5)). The DTI volume changes exhibited a significant Spearman coefficient rank correlation (0.68, P=0.001) with the pathological M&P grading and differentiated between responders and nonresponders with area-under-the-curve (AUC) of 0.830.10. A similar AUC for differentiating responders from nonresponders was exhibited by the changes in the highest diffusion coefficient (0.840.11) and the mean diffusivity (0.830.11). The DTI residual-tumor-diameter showed a high and significant Pearson correlation (r=0.87 P=1.2 x 10(-6)) to pathology tumor diameter.

Data ConclusionDTI monitors changes in cancer size and diffusion tensor parameters in response to NAC with an accuracy equivalent to that of DCE, enabling differentiation of responders from nonresponders and assessment of residual tumor size in high congruence with pathology. Level of Evidence: 1 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2018;47:1080-1090.

Original languageEnglish
Pages (from-to)1080-1090
Number of pages11
JournalJmri-Journal Of Magnetic Resonance Imaging
Volume47
Issue number4
DOIs
Publication statusPublished - Apr 2018

Bibliographical note

Publisher Copyright:
© 2017 International Society for Magnetic Resonance in Medicine

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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