Edna Furman-Haran1, Noam Nissan2, Hadassa Degani2, and Julia Camps Herrero3
1Department of Biological Services, The Weizmann Institute of Science, Rehovot, Israel, 2Department of Biological Regulation, The Weizmann Institute of Science, Rehovot, Israel, 3Radiology, Hospital de la Ribera, Alzira, Spain
Synopsis
We have
evaluated the ability of diffusion tensor imaging (DTI) to assess
breast cancer response to neoadjuvant chemotherapy. Changes in lesion size and
diffusion parameters in response to therapy were determined. Diameter and
volume measurement derived from DTI were compared
to those derived from dynamic contrast enhanced (DCE) MRI and to
post surgery pathological reports. A high congruence was found between DTI and
DCE-MRI for tumor size and response evaluation, with both methods showing a
good agreement with pathology results.Purpose
To evaluate the
ability of diffusion tensor imaging (DTI) to quantitatively determine response
of breast cancer to neoadjuvant chemotherapy (NAC), and
provide preoperative assessment of residual tumor extent before surgery.
Introduction
Breast dynamic
contrast-enhanced (DCE) MRI has been
known as a useful adjunct modality in monitoring patients treated with NAC
1. There is also growing evidence
on DWI usefulness in evaluating breast cancer early response to NAC
2.
We have recently demonstrated that the parameters derived from DTI show high
ability to diagnose breast cancer
3.
Herein, we present a preliminary prospective study with standardized blinded
analysis, aimed in evaluating the ability of DTI parameters to monitor breast cancer response to NAC, as compared
with DCE-parametric maps and histopathology.
Methods
Twenty patients
treated with NAC (FEC and Docetaxel) were studied before and after treatment. Images
were acquired on a 1.5 Tesla Intera Achieva scanner (Philips). The MRI protocol
included axial DTI with fat-suppression (resolution:2.08x2.08x2.5mm, TE/TR of 71msec/14120msec,
b values 0 and 700 sec/mm2
and 15 diffusion gradient directions), and a DCE protocol (TE/TR/flip angle = 3.45msec/5.58msec/20°, 0.72x0.72x2.0mm
resolution, 1-pre and 6 post-contrast time points, within a total of 10.5min).
The
DTI and DCE datasets were analyzed separately by two readers who were blind to
the clinical and pathological reports. DTI datasets were analyzed using a
propriety software, yielding three eigenvectors and their corresponding eigenvalues
λ1, λ2 and λ3, their average, and two anisotropy indices5. Tumors’
ROI were delineated on λ1 maps, using a threshold ≤1.7x10-3 mm2/sec,
with the aid of the pre-treatment post contrast enhancement images. DCE-images
were analyzed with the 3TP method, as previously described4. Tumor
diameter and volume were determined separately on the λ1 and 3TP parametric
maps, and were compared with the pathologic results using Miller&Payne pathologic
evaluation criteria (M&P) as a gold standard 5.
Results
Response to therapy was determined by measuring changes in diameter
and volume of the tumors. Changes in the values of the DTI parameters and
patterns of enhancement also served to indicate response (Figure 1) . The median
diameter of the lesions pre-treatment was 30.4 mm (range: 12.6-77.9mm) on λ1
maps and 31.4mm (range: 12.6-76.5mm) on the 3TP parametric maps.
Of the twenty patients,
eight showed no response (<30% reduction), seven showed minor partial response (PR) (30%-90%
reduction), one patient showed major PR (>90% reduction), and four patients showed complete
response. DTI Response to therapy was associated with an increase in λ1, λ2, λ3,
and in maximal anisotropy but not in FA,
DCE response was associated with a decrease
in initial enhancement rate and a change
towards a delayed wash-out pattern. Pre-treatment and post-treatment/ preoperative
assessment of tumor extent revealed a high congruence between the λ1 maps
derived from DTI and the 3TP maps (Figure 1). Indeed, Pearson correlation
factors between the two methods were of 0.88 and 0.98 for lesion diameter, and
volume, respectively.
Analysis of the
λ1 maps predicted absence or presence of response when comparing to M&P in 16/20
lesions on the basis of % change in diameter and in 19/20 lesions on the basis
of % change in volume. Predicting exact type of response (no response, minor,
major, or complete response) was in 13/20 (diameter) and in 15/20 (volume)
patients. Analysis of the DCE datasets
predicted absence or presence of response in 17/20 lesions on the basis of % change in
diameter and in 14/20 of lesions on the
basis of % change in volume. Predicting exact type of response was in 14/20
(diameter) and in 11/20 (volume) patients.
The same Pearson correlation factor of 0.82 was obtained for the %change
in tumor diameter and tumor volume between analysis based on λ1 maps and on 3TP
maps, indicating a similar ability of these two methods to estimate response to
NAC. Acceptable Pearson correlation factors of 0.67 and 0.62 were obtained between
post-treatment pathology diameter and the diameter based on DTI and DCE-MRI, respectively.
Discussion
We have shown that DTI, due to its
dependency on structural
and physiological features of the extra and intracellular tissue compartments, primarily
cellular density, enables evaluating response to
NAC, in a quantitative manner. A high similarity
in response assessment was found between the DTI and DCE methods with a good agreement of both with
the pathology results. Applying DTI as a
routine protocol for monitoring response to NAC is feasible and has a potential
to become a valuable method, with the advantage of avoiding the use of injecting
contrast agents. However, improvements are required to overcome technical problems
6
and to increase the accuracy and the spatial resolution of DTI.
Acknowledgements
The help of Nachum Stern and Fanny Attar is
gratefully acknowledged. Dr. E.
Furman-Haran holds the Calin and Elaine
Rovinescu Research Fellow Chair for Brain Research. Prof. H. Degani holds the Fred and Andrea Fallek Chair for
Breast Cancer ResearchReferences
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6. Furman-Haran E et al Euro. J. Radio. 2012:81S1:S45-S47.