Nan Zhang1, Lina Zhang1, Qingwei Song1, Ailian Liu1, Keshuo Tang2, Lei Dong2, Jiazheng Wang3, and Zhiwei Shen3
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China, Beijing, China
Synopsis
Amide proton transfer (APT)
imaging is based on the chemical exchange between free bulk water protons and the
amide protons (-NH) of endogenous mobile proteins and peptides in tissue[1]. Nan Meng et al suggested that APTw imaging can be used for the
differential diagnosis of benign and malignant breast lesions[2]. A simple
sample study has shown that APTw MRI provides a possible biomarker for
assessing chemotherapy response in human breast cancer patients on 3T MRI[3]. This study aims to explore
the feasibility of APTw-MRI in early evaluation of pathological complete
response to NAC in molecular subtyping of
breast cancer
Introduction
APTw MRI has good potential
to detect breast tumors and discriminate malignant and benign breast tumors
before surgery. CEST MRI of the amide protons is potentially sensitive to
microstructural molecular changes that occur prior to macroscopic changes in
gross morphology and traditional contrast mechanisms.It is required for a more
comprehensive analysis of APTresidual measures in relation to neoadjuvant
chemotherapy(NAC). Methods
In this
prospective study, a total of 18 female breast cancer patients treated with NAC
(49.58±9.73, range:34-68years) were enrolled and informed consent was acquired
from each patient. All patients were imaged using a
3.0 T whole-body MR scanner (Philips Ingenia CX, Philips Healthcare, the
Netherlands) before NAC, at the end of
the first two cycles of NAC (T1) and four cycles of NAC (T2) therapy, with a dedicated seven-channel bilateral phase-array breast
coil. All patients were confirmed by surgical histopathology after MR scanning.Specifically,
group 1 included 7 patients with pCR status, and group 2 included 11 patients
with non-pCR status. The
region of interest (ROI) was obtained manually on the APTw
MR images, DCE
image was used to help drawing the ROIs, which corresponding with the most
enhanced part of the lesion on DCE. The
mean value of ROI measurements was used as the final APTw values of lesions and
maximal lesion diameter as Dmax. The measured image parameters (△APTw values, △Dmax)
achieved at T1 and T2 and age
were compared between two groups. Receiver
operating characteristic curves (ROC) were conducted to assess the predictive
capability. Results
There was no
significant difference in age between two groups (p =0.075). The
distribution in molecular subtyping of
breast cancer of two groups is in Table1.There
was no significant difference of △Dmax on T1 (p =0.346), while there was
significant difference between the two groups (p =0.046) on T2.The APTw
maps are shown as overlays on the anatomical images with the highest
correspondence in 18 lesions. The intraclass correlation coefficients
(ICC=0.993, 0.991, and for group 1 and 2, respectively) indicate a good
inter-observer agreement of the measured △APTw values(Figure 1). △APTw values of pCR were significantly lower than those
of non-pCR status on T1 (-0.091% &0.205 %, p <0.001), while there
was no significant difference of △APTw values between two groups (p =0.078)
on T2(Figure 2,3). Area under the
curve (AUC) acquired by △APTw
MRI on T1 with an optimal threshold of 0.667 (sensitivity of 100%, a
specificity of 58.3 %, and an accuracy of 41.3%).Discussion and Conclusion
Preoperative prediction for pCR is of both clinical
and economic value for regimen adjustment of breast cancer, evaluation and
comparison. Earlier accurate judgment for pCR status would bring larger
clinical benefit for molecular subtyping of breast cancer. APT-weighted (APTw)
MRI could noninvasively identify and differentiate tumors in brain, head and
neck etc[4-6]. In this study, we have
established the scan reproducibility of APTw imaging for observing different
cycles of NAC in molecular subtyping of
breast cancers, and presented initial data to show that high sensitivity
performance can be achieved by △APTw values for early prediction of pCR status
at the end of the first two NAC cycle, which might allow timely regimen
refinement before definitive surgical treatment.Acknowledgements
This work was
supported by the grant of the Provincical Natural Science Foundation of China (2019-ZD-0907,
20170540296) .References
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