Lisa Loi1, Ferdinand Zimmermann2, Andreas Korzowski2, Jan-Eric Meissner2, Peter Bachert2, Mark Edward Ladd2, Heinz-Peter Schlemmer1, Sebastian Bickelhaupt3, Steffen Goerke2, Sarah Schott4, and Daniel Paech1
1Radiology, German Cancer Research Center, Heidelberg, Germany, 2Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 3German Cancer Research Center, Heidelberg, Germany, 4Gynecology, University Hospital Heidelberg, Heidelberg, Germany
Synopsis
Relaxation-compensated, fat-corrected and
B1-corrected APT CEST MRI is a novel MR imaging technique that generates
complementary information to conventional MR-mammography. In this study, the
ability of this improved APT CEST metric was investigated in nine patients with
newly diagnosed breast cancer. Compared to normal
appearing fibroglandular breast tissue, significantly increased APT CEST
signal intensities in breast cancer tissue were
observed. Consequently, this MRI approach represents a contrast agent-free
method that may enable a non-invasive differentiation of breast cancer and normal
appearing breast tissue and, therefore, help to increase diagnostic
accuracy in breast cancer imaging.
Introduction
Breast
cancer is the most common tumor disease and cancer-related cause of death among
women (1). In this context, Magnetic Resonance
Imaging (MRI) has proven its value as a screening tool for early breast cancer
detection in high-risk patients and as a diagnostic tool for preoperative tumor
staging and follow-up. However, false positive findings in conventional breast
MRI can lead to unnecessarily performed invasive biopsies in healthy women (2). Thus, novel MR imaging techniques
are needed to complement conventional MR-mammography.
In neuro-oncologic
applications, relaxation-compensation and B1-correction methods have been
established at 7 Tesla (7T) and have shown to yield improved diagnostic
accuracy (3, 4). Recently
this APT CEST metric has been extended by a novel fat correction approach and
its applicability in breast tissue was demonstrated at 7T (5).
In
this work, we prospectively investigated the ability of this novel fat-corrected,
relaxation-compensated amide proton transfer (APT) CEST MRI approach at 7T in a
study cohort of nine patients with newly diagnosed breast cancer. The purpose
of this study was to investigate if the approach enables a differentiation of breast
cancer tissue and normal-appearing fibroglandular breast tissue. Methods
Seven female volunteers without known breast
diseases and nine patients with newly diagnosed and histologically proven
breast cancer were included in this prospective IRB-approved study.
Relaxation-compensated APT CEST MRI of the
human breast was performed at a 7 Tesla whole-body scanner (MAGNETOM 7 T,
Siemens Healthineers, Erlangen, Germany) using a bilateral diagnostic breast
coil (1Tx/16Rx, Rapid Biomedical GmbH, Rimpar, Germany). Pre-saturation of the
custom-developed CEST sequence consisted of 297 Gaussian-shaped radiofrequency
(RF) pulses (pulse length tp = 15 ms, 75 offsets, B1 = 0.6 and 0.9
µT, duty cycle (DC) = 80%, and tsat = 5.6 s) followed by a
centric-reordered 2D single-slice GRE read-out (TE = 2.04 ms; TR = 3.7 ms; FoV,
196x174; matrix, 128x116; slice thickness = 5 mm; bandwidth = 1220 Hz/pixel). B1-field
mapping was achieved by a modified “water shift and B1 (WASABI)”
sequence (single rectangular pulse of tp=2.5ms, B1 = 7µs,
followed by five 90° fat saturation pulses) (6). T1 mapping was performed using a
saturation recovery preparation.
APT CEST signal intensities were
quantified in the tumor area and in normal appearing fibroglandular breast
tissue after correction of B0/B1- field inhomogeneities,
fat signal contribution, T1- and T2 –relaxation. Signal
intensity differences between normal appearing breast tissue and tumor tissue
were compared using the Mann–Whitney U test.Results
Patients showed hyperintense APTAREX
contrasts in breast cancer tissue that morphologically correlated with clinical
mammographic and sonographic breast examinations (Fig.1). In addition, distinct
morphological correlations of increased APTAREX values in breast
cancer tissue and lesion delineation at contrast-enhanced 3T clinical breast
MRI were observed (Fig.2). The mean APT CEST signal intensity in breast cancer tissue
(6.70 ± 1.38 %Hz) was significantly increased compared to normal appearing
fibroglandular breast tissue of both, patients (3.56 ± 0.54 %Hz) and healthy
volunteers (3.70 ± 0.68 %Hz) (Fig.3). Thus, the mean APT CEST signal in breast
tumor tissue was increased by a factor of 1.9 compared to normal appearing
breast tissue. No significant differences were found between normal appearing
fibroglandular breast tissue of patients and healthy volunteers (p = 0.88)
(Fig.3).Discussion
Fat-corrected,
relaxation-compensated APT CEST MRI has been shown to enable detection of
increased protein signal intensities in breast cancer tissue compared to normal
appearing fibroglandular breast tissue. These APT CEST
signal alterations in malignant breast tissue may be caused by e.g. altered protein expression (7), increased cellular proliferation (8), or
protein denaturation (9, 10). In
addition, this hypothesis is in
line with previous studies that reported an upregulated expression level of
various choline transporters and specific enzymes in breast cancer cells (11, 12).Conclusion
Fat-corrected, relaxation-compensated APT CEST MRI at 7T enabled a
non-invasive differentiation of breast cancer and normal
appearing fibroglandular breast tissue by quantifying increased
protein-specific signal intensities in malignant breast tumors. Thus,
APT CEST MRI represents a contrast agent-free method that may help to increase
diagnostic accuracy in MR mammography.Acknowledgements
No acknowledgement found.References
1. Tao Z, Shi A, Lu C, et al. Breast Cancer: Epidemiology and
Etiology. Cell Biochem Biophys. 2015;72(2):333-8.
2. O'Connor
V, Arena E, Albright J, et al. Histological
assessment of breast lesions identified exclusively by magnetic resonance. Am Surg. 2014;80(10):944-7.
3. Zaiss M, Windschuh J, Paech D, et al. Relaxation-compensated CEST-MRI
of the human brain at 7T: Unbiased insight into NOE and amide signal changes in
human glioblastoma. Neuroimage. 2015;112:180-8.
4. Windschuh J, Zaiss M, Meissner JE, et
al. Correction of
B1-inhomogeneities for relaxation-compensated CEST imaging at 7 T. NMR Biomed.
2015;28(5):529-37.
5. Zimmermann F, Korzowski A, Breitling J,
et al. A novel normalization
for amide proton transfer CEST MRI to correct for fat signal-induced artifacts:
application to human breast cancer imaging. Magn Reson Med. 2019.
6. Schuenke P, Windschuh J, Roeloffs V, et
al. Simultaneous mapping of
water shift and B1 (WASABI)-Application to field-Inhomogeneity correction of
CEST MRI data. Magn Reson Med.
2017;77(2):571-80.
7. Yan K, Fu Z, Yang C, et al. Assessing Amide Proton Transfer
(APT) MRI Contrast Origins in 9 L Gliosarcoma in the Rat Brain Using Proteomic
Analysis. Mol Imaging Biol. 2015;17(4):479-87.
8. Paech D,
Burth S, Windschuh J, et al. Nuclear
Overhauser Enhancement imaging of glioblastoma at 7 Tesla: region specific
correlation with apparent diffusion coefficient and histology. PLoS One.
2015;10(3):e0121220.
9. Goerke S,
Milde KS, Bukowiecki R, et al. Aggregation-induced
changes in the chemical exchange saturation transfer (CEST) signals of
proteins. NMR Biomed. 2017;30(1).
10. Goerke S,
Zaiss M, Kunz P, et al. Signature of
protein unfolding in chemical exchange saturation transfer imaging. NMR Biomed.
2015;28(7):906-13.
11. Eliyahu
G, Kreizman T, Degani H. Phosphocholine
as a biomarker of breast cancer: molecular and biochemical studies. Int J Cancer. 2007;120(8):1721-30.
12. Noh DY, Ahn SJ, Lee RA, et al. Overexpression of phospholipase
D1 in human breast cancer tissues. Cancer Lett. 2000;161(2):207-14.