Xiangde Min1, Zhaoyan Feng1, Liang Wang1, and Zhongping Zhang2
1Tongji Medical College, Huazhong University of Science & Technology, Wuhan, People's Republic of China, 2GE Healthcare, Guangzhou, People's Republic of China
Synopsis
Magnetization
transfer (MT) imaging and amide proton transfer (APT) imaging have reported
many promising results. However, little is known about their usefulness for
prostate cancer (PCa). In this study, MT-APT imaging were performed for 39 patients
with pathological proven PCa. The feasibility of MT imaging and APT
imaging for PCa detection was assessed, and their differential diagnostic values
for PCa were compared. The results revealed that MTR(16.5 ppm) increased in
cancerous tissues compared with normal PZs, and MT imaging outperformed APT
imaging for PCa diagnosis. MT imaging showed promising role in the diagnosis of
PCa.
Introduction
Magnetization transfer (MT) imaging and amide proton
transfer (APT) imaging have reported many promising results (1-2). However, few
studies had reported APT imaging and/or MT imaging in prostate. The
diagnostic performances of APT in prostate cancer (PCa) were also controversial
(3-4). Moreover, comparison of the diagnostic value of MT imaging and APT
imaging remains unavailable. The aims of the present study were to assess the
feasibility of MT imaging and APT imaging for PCa detection at 3.0 tesla,
and to compare their differential diagnostic value for PCa.
Methods
Thirty-nine
patients with proven PCa who had undergone multiparametric prostate MRI and MT-APT
imaging were included. MT-APT imaging was acquired using a
single-shot echo-planar imaging on a single-slice. The saturation prepulse was
composed of a train of 4 pulses, each with a pulse length of 400 ms and
saturation amplitude of 2 uT. An unsaturated image was
acquired for the signal normalization. Magnetization transfer spectra with 33 different
frequency offsets were acquired: 0, ±0.25, ±0.5, ±0.75, ±1, ±1.5, ±2, ±2.5, ±3,
±3.25, ±3.5, ±3.75, ±4, ±4.5, ±5, ±6, 15.6. MT imaging and APT imaging were
quantified by MTR(15.6 ppm) and MTRasym(3.5 ppm), respectively (5-6).
MTR (16.5 ppm) and MTRasym (3.5 ppm) were evaluated at the cancerous
tissues and normal peripheral zones (PZs). T2WI and DWI images were used to
determine the range of focus (Figure. 1). The MTR(16.5 ppm) and MTRasym(3.5
ppm) maps were calculated according to the formula: MTR(16.5ppm) = [S0-Ssat(+16.5ppm)]/S0; MTRasym(3.5ppm)=[ Ssat(-3.5ppm) -Ssat(+3.5ppm)]/S0. Where Ssat and S0 are the water
signal intensities measured with and without the saturation prepulse,
respectively.Results
Figure. 2 shows the MTRasym(3.5 ppm) and
MTR(15.6 ppm) in cancerous tissues and normal PZs. MTR (16.5 ppm) in cancerous
tissues was (22.22 ±
3.25)%,
significantly higher than normal PZs (18.39 ± 2.64)% (t = -5.37, p < 0.001).
MTRasym(3.5 ppm) in cancerous tissues and normal PZs were (2.32 ± 1.28)%, (1.68 ± 1.81)%, respectively. But no
significant statistical difference was found (t = -1.74, p = 0.086).
Figure. 3 shows the
diagnostic performance of MTRasym(3.5 ppm) and MTR(16.5 ppm) as
determined by the receiver operating characteristic curve analyses. The area under the curve (AUC) of MTR(16.5 ppm) and MTRasym(3.5 ppm) in
differentiating cancerous tissues and normal PZs were 0.83 and 0.59, respectively.
The AUC of MTR(16.5 ppm) was
significantly higher than MTRasym(3.5 ppm) (Z = -2.98, p = 0.003). The cut-off value of 20.09% for MTR(16.5 ppm) had 74.36% sensitivity and 84.37%
specificity. The cut-off value of 1.31% for MTRasym(3.5 ppm) showed 87.18% sensitivity and 31.25% specificity. Discussion
This preliminary study evaluated the feasibility of MT
imaging and APT imaging in differentiating PCa and normal PZs. Our results
revealed that MTR(16.5 ppm) increased in cancerous tissues compared with normal
PZs, and MT imaging outperformed APT imaging for PCa diagnosis.
The contrast of MT imaging mainly
depending on the fraction of large macromolecules in tissue. The cell membrane
proteins and phospholipids mainly contribute to the MT signal. The glandular
structure of prostate is disrupted and replaced with proliferating malignant
cells in cancer pathogenesis, leading to higher MTR(15.6 ppm) in the malignant
regions. In our study, the MTR(15.6 ppm) value in PCa was significantly higher
than that in normal PZs, which implied a great mount of macromolecules in
tumors.
Chemical exchange
saturation transfer (CEST) imaging is a variant of MT
imaging. APT imaging is the most widely used CEST imaging specifically to amide
protons of mobile tissue proteins and peptides. Different to some previous studies,
our results reached no significant difference of MTRasym(3.5 ppm) between
cancerous tissues and normal PZs. The main reasons may be as follows. The APT
signals depend mainly on the intracellular mobile proteins and peptides.
The prostate tissue secrete prostatic fluid, and the prostatic fluid contains
mobile proteins and peptide (7-8). In cancerous
tissues, the proliferating malignant cells with large content intracellular
mobile proteins and peptides would produce high APT signal. On the contrary,
the disruption of normal glandular structure of prostate in cancerous tissues
would reduce the prostate excretive mobile proteins and peptide, which might
cause the decrease of APT signal. The two opposite aspects lead to an overlap
between PCa and normal tissues. Differ to APT imaging, the MT signal mainly
determined by the cell membrane proteins and phospholipids. The prostatic fluid
in glandular cavity produce less effect on MT signal.Conclusion
This study revealed the promising role of MT imaging
in the diagnosis of PCa. However, the diagnostic value of APT imaging in PCa
remains to be evaluated. References
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