TY - JOUR
T1 - Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging
T2 - Initial results
AU - Furman-Haran, Edna
AU - Nissan, Noam
AU - Ricart-Selma, Verónica
AU - Martinez-Rubio, Carmen
AU - Degani, Hadassa
AU - Camps-Herrero, Julia
N1 - Publisher Copyright:
© 2017 International Society for Magnetic Resonance in Medicine
PY - 2018/4
Y1 - 2018/4
N2 - Background: Diffusion tensor imaging (DTI) yields several parameters that have not been tested in response evaluation to neoadjuvant chemotherapy (NAC). Purpose: To evaluate and compare in reference to histopathology findings the ability of DTI and dynamic contrast-enhanced (DCE) MRI to monitor response to NAC. Study Type: Retrospective. Population: Twenty patients treated with neoadjuvant chemotherapy. Field Strength/Sequence: 1.5T MRI axial, bilateral T 2 -weighted, DTI, and DCE-MRI. Assessment: A standardized blinded image analysis at pixel resolution generated color-coded maps of DTI and DCE parameters. Statistical Tests: Pearson'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. Results: DTI 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 × 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 0.83 ± 0.10. A similar AUC for differentiating responders from nonresponders was exhibited by the changes in the highest diffusion coefficient (0.84 ± 0.11) and the mean diffusivity (0.83 ± 0.11). The DTI residual-tumor-diameter showed a high and significant Pearson correlation (r = 0.87 P = 1.2 × 10 −6 ) to pathology tumor diameter. Data Conclusion: DTI 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.
AB - Background: Diffusion tensor imaging (DTI) yields several parameters that have not been tested in response evaluation to neoadjuvant chemotherapy (NAC). Purpose: To evaluate and compare in reference to histopathology findings the ability of DTI and dynamic contrast-enhanced (DCE) MRI to monitor response to NAC. Study Type: Retrospective. Population: Twenty patients treated with neoadjuvant chemotherapy. Field Strength/Sequence: 1.5T MRI axial, bilateral T 2 -weighted, DTI, and DCE-MRI. Assessment: A standardized blinded image analysis at pixel resolution generated color-coded maps of DTI and DCE parameters. Statistical Tests: Pearson'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. Results: DTI 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 × 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 0.83 ± 0.10. A similar AUC for differentiating responders from nonresponders was exhibited by the changes in the highest diffusion coefficient (0.84 ± 0.11) and the mean diffusivity (0.83 ± 0.11). The DTI residual-tumor-diameter showed a high and significant Pearson correlation (r = 0.87 P = 1.2 × 10 −6 ) to pathology tumor diameter. Data Conclusion: DTI 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.
KW - breast cancer
KW - diffusion tensor imaging
KW - magnetic resonance imaging
KW - neoadjuvant therapy
KW - response to therapy
UR - http://www.scopus.com/inward/record.url?scp=85029370563&partnerID=8YFLogxK
U2 - 10.1002/jmri.25855
DO - 10.1002/jmri.25855
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
C2 - 28901594
AN - SCOPUS:85029370563
SN - 1053-1807
VL - 47
SP - 1080
EP - 1090
JO - Journal of Magnetic Resonance Imaging
JF - Journal of Magnetic Resonance Imaging
IS - 4
ER -