Danyan Li1, Qinglei Zhang1, Harsh K Agarwal2, Weibo Chen2, and Bin Zhu1
1Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, People's Republic of, 2Philips Research NA, Cambridge, MA, MA, United States
Synopsis
Quantitative T2 values has the
potential to reliably and reproducibly differentiate prostate abnormalities,such as prostate cancer (PCa) , benign prostate hyperplasia(BPH)and normal prostate tissue (NPT). We used k-t-T2 technique to obtain the T2 maps and tested the diagnostic
performance of T2 mapping in differentiating PCa from NPT and BPH in the
peripheral zone.We found the T2 values is quite useful for cancer discrimination with,
for example, a threshold T2 of 68.3 ms yielded a sensitivity of 94% and a
specificity of 98% for PCa discrimination.Target audience
Radiologists, physicists and data scientists focusing on the prostate
cancer MRI and its quantitation.
Purpose
T2WI MRI is an integral part of prostate
cancer (PCa) multiparametric MRI (mpMRI) which has been used to identify
structures in the prostatic tissue. Therefore, quantitative T2 values has the
potential to reliably and reproducibly differentiate prostate abnormalities,
which may result in better distinction in PCa, benign prostate
hyperplasia(BPH)and normal prostate tissue (NPT). Recently, an accelerated ME-TSE MRI known as k-t-T2 mapping has been
developed to obtain high resolution whole prostate T2 mapping in clinically
feasible scan times. The purpose of this study
is to use k-t-T2 technique to obtain the T2 maps and test the diagnostic
performance of T2 mapping in differentiating PCa from NPT and BPH in the
peripheral zone.
Methods
The
institutional review board approved this prospective study. Twenty-eight patients
with biopsy-proven peripheral zone PCa without prior treatment underwent
routine mpMRI for PCa along with k-t-T2 MRI for T2 mapping at PHILIPS 3.0T Ingenia
scanner with an abdomen array coil. ROI
were drawn over mpMRI suspicious PCa, BPH and NPT identified by two radiologists in
consensus. The mean T2 value for each ROI was determined.
Mean T2 values over three types of ROI were tested for
statistical significance using ANOVA
analysis. The area under the receiver operating characteristic curve was
used to assess the optimal threshold T2 value for PCa discrimination.
Results
The mean T2 value over
PCa (58.7±10.8 ms), BPH (98.7±12.4 ms) and NPT (206.7±19.8 ms) were statistically
different (p<0.0001). T2 threshold value of 68.3 ms yielded a sensitivity of
94% and a specificity of 98% for PCa detection.
Discussion
It is widely appreciated that peripheral
zone PCa often has low signal on T2 weighted images, making T2WI imaging a key,
if subjective, assessment for cancer detection. Quantitative measurement of T2 values
derived from fast T2 mapping sequence for prostate cancer detection was
possible. We sought to determine if a rapid and clinically practical T2 mapping
could provide T2 values that, although probably not “accurate” due to
stimulated-echo effects, could still provide clinically significant
discrimination in PCa, NPT and BPH in the peripheral zone. Although there is an
overlap between T2 values of PCa and BPH pathologies identified using this
sequence. The values so obtained and analyzed in this study appear quite useful
for cancer discrimination with, for example, a threshold T2 of 68.3 ms yielded
a sensitivity of 94% and a specificity of 98% for prostate cancer
discrimination.
Conclusions
Fast T2 mapping
generates accurate T2 maps over the whole prostate in clinically feasible scan
times that can be used to distinguish PCa, BPH and NPT. Although there is an
overlap between T2 values of PCa and BPH pathologies, fast T2 mapping can be
used to assist radiologists for lesion detection prior to biopsy.
Acknowledgements
No acknowledgement found.References
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al. Characterization of prostate cancer using T2 mapping at 3T: a multi-scanner
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2. Yamauchi FI, Penzkofer T, Fedorov A, et al. Prostate cancer
discrimination in the peripheral zone with a reduced field-of-view T(2)-mapping
MRI sequence. Magn Reson Imaging 2015;33:525-30.