Ruimeng Zhao1, Siyao Du1, Si Gao1, Lizhi Xie2, Jing Shi3, and Lina Zhang1
1Department of Radiology, The First Hospital of China Medical University, Shenyang, China, 2MR Research, GE Healthcare, Beijing, China, 3Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China
Synopsis
Keywords: Breast, Cancer, neoadjuvant chemotherapy; pathological complete response
This
study investigated the time course changes of synthetic magnetic resonance
imaging (MRI) parameters (T1/T2 relaxation time [T1/T2], proton density [PD])
during neoadjuvant chemotherapy (NAC) and evaluate their value as predictors
for pathological complete response (pCR) in locally advanced breast cancer. The
results showed that median synthetic T1/T2/PD and tumor diameter generally
decreased throughout NAC. And the Change of synthetic T1 after the first cycle
of NAC may be an early predictor for NAC response in locally advanced breast
cancer during whole treatment cycles. However, its predictive ability is
significantly affected by histological grades.
Purpose
Synthetic MRI technology provides the
possibility of achieving rapid quantification of various relaxation time at the
same time by adding multi-dynamic, multi-echo (MDME) sequences. In recent
years, previous studies demonstrated the clinical feasibility of T1 and T2 for
differentiating benign and malignant breast lesions1 and evaluating
pathological factors2. However, longitudinal studies during NAC have
not been investigated, this study was designed to apply synthetic MRI and
analyze time course changes in T1, T2, and PD during NAC in breast cancer
patients in order to search for the optimal parameter set for a given time
point to help predict NAC treatment response.Methods
All the subjects in our study signed
informed consent. In this study, 102 invasive ductal breast cancer patients
underwent breast MRI at four time points: baseline, after one cycle of NAC
(early-NAC), after three or four cycles of NAC (mid-NAC), and pre-operation
(post-NAC). A synthetic MRI sequence was added to the breast MRI by a 3.0T
whole-body scanner (SIGNATM Pioneer, GE Healthcare, Milwaukee, WI, USA) with an
8-channel breast coil. This added sequence included two echo times and four
automatically calculated saturation delays in 3:09 min with the following
parameters: TR/TE1/TE2 = 5600/22.1/110.4 ms, TI = NA, field of view (FOV) =
360×360 mm, matrix = 192×180, section thickness = 5mm, number of sections = 25,
and acceleration factor = 2.5.
A random effects model of repeated
measurement was used to investigate overall changes in synthetic MRI parameters
and tumor diameter, and to test differences between pCR and non-pCR groups at
each treatment time point. The areas under the receiver operating
characteristic (ROC) curves (AUC) were calculated and cutoff values of
synthetic parameters were determined, as well as the corresponding sensitivity,
specificity, and accuracy. Additionally, interaction analysis was conducted to
explore the potential interaction between useful MRI parameters and
clinicopathological features for treatment response evaluation. To compensate
for multiple comparisons, a corrected p-value <0.05/4 = 0.0125 was
considered to indicate a statistically significant test result. All statistical
analysis was performed with R software (version 3.6.1;
http://www.r-project.org/) and EmpowerStats (http://www.empowerstats.com,
X&Y Solutions, Inc.).Results
In our study, HER-2 (p=0.007) and
histological grade (p=0.010) differed significantly between the pCR and non-PCR
groups before NAC. However, no significant differences were found in the other
clinicopathological features between two groups. The detailed results are shown
in Figure 1.
The violin figure of the synthetic
T1/T2/PD and tumor diameter for pCR and non-pCR patients are displayed in
Figure 2, which shows the generally decreased trend throughout NAC. However,
after the initiation of NAC, there is a mild rebound in median T2 for the pCR
group while median synthetic T1/T2/PD continuously declined for the non-pCR
group. Some images examples of pCR and non-pCR patients are shown in Figure
3-4.
After early-NAC, T1 change was
significantly higher in the pCR group, which also had the highest area under
the ROC curves (AUC) at 0.75 (95% CI, 0.64-0.85, p<0.001). After mid-NAC, PD
change and absolute PD showed the same highest AUC of 0.72 (95% CI, 0.60-0.83,
p<0.001) for pCR discrimination, and prior to surgery, changes in tumor
diameter held the highest AUC at 0.80 (95% CI, 0.75-0.93, p<0.001).
Interaction analysis showed that histological grade III patients had higher OR
(OR=1.203) compared to grade II patients (OR=1.055) (p for interaction=0.012).Discussion and conclusion
In this study, we investigated the time
course changes of synthetic MRI parameters during NAC in breast cancer
patients. Among all time points and parameters, early reduction in T1 after the
first cycle of NAC was found to be the best predictor for therapeutic response.
Furthermore, the correlation of T1 early changes with treatment response was
influenced by histological grades. We suspected that in the early stage,
especially after the first cycle of NAC, hyperproliferative tumor cells are sensitive
to chemotherapeutic drugs and that this generates a rapid decrease of tumor
components with high T1 that causes the reduction of T1 values3.
Moreover, T1 relaxation is more susceptible to macromolecular content induced
by chemotherapy in the literature4. At the middle and later stages
of NAC, complicated intertumoral components and their interactions may weaken
the correlation between the changes of T1 and treatment response.
However, absolute median T2 rebounds
before surgery, and it could not predict NAC response during NAC. It possibly
due to complex intra-tumor mechanisms and inevitable measurement errors5-6.
This reflects its limited capacity for NAC prediction in the late stage of
treatment. Besides, PD reduction after mid-NAC can significantly predict pCR
patients, and this may serve as a valuable complement in response to NAC.
To conclude, synthetic relaxation time,
especially T1, has the potential to be the early NAC response monitor of
choice. Quantitative imaging techniques are noninvasive, contrast-free, and
multi-parametric based on a single sequence with an acceptable scan time. All
these advantages facilitate clinical applicability and thus avoid tumor
progression and unnecessary drug side effects caused by ineffective treatments.Acknowledgements
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