Tom Syer1, Keith Godley2, Donnie Cameron1, and Paul Malcolm2
1Norwich Medical School, University of East Anglia, Norwich, United Kingdom, 2Radiology, Norfolk and Norwich University Hospital
Synopsis
To assess
FOCUS diffusion-weighted imaging (DWI) for prostate cancer assessment, 30
consecutive biopsy-proven patients underwent both FOCUS and conventional DWI.
Sensitivity and specificity was not significantly different between sequences but
inter-observer agreement improved from moderate to substantial when using FOCUS.
There was significantly lower SNR and CNR for FOCUS on b-value images, but similar CNR on ADC maps. Mean ADC values were
significantly lower using FOCUS and both sequences showed excellent
discrimination between malignant and benign prostate with no statistical difference.
FOCUS DWI improves agreement between observers of varying experience while
maintaining diagnostic accuracy despite lower SNR and CNR.
Purpose
Reducing the field-of-view (FOV) for diffusion-weighted imaging (DWI) has been shown to improve spatial resolution and reduce motion artefacts (1, 2). The novel field-of-view optimised and constrained undistorted single shot (FOCUS) sequence uses a smaller FOV and has been shown to improve image quality and reduce distortion (2). The need to assess the ability of reduced FOV DWI at higher b-values to separate malignant and benign tissue has been identified (2). This study compares the clinical utility of FOCUS diffusion-weighted imaging with conventional single-shot spin echo echo-planar imaging (ss-EPI) in prostate cancer assessment by investigating diagnostic accuracy, inter-observer agreement, signal and contrast-to-noise ratios and ability of apparent diffusion coefficient (ADC) maps to characterise malignant tissue.Methods
A total of 30 biopsy-proven prostate cancer patients underwent both FOCUS and conventional DWI at 3 Tesla with b-values = 100, 1,000 and 1,500 s/mm² and a pixel-by-pixel based ADC map generated from all 3 b-values. The acquisition details for both DWI sequences are summarised in table 1. Sensitivity, specificity, and inter-observer agreement were calculated by kappa statistics for visual assessment by two independent readers against trans-rectal ultrasound guided biopsy (TRUS) histology findings. Elliptical regions of interest (ROI) were drawn to calculate signal-to-noise ratios (SNRs), contrast-to-noise ratios (CNRs), and mean ADC values, which were compared between DWI sequences using two-way repeated measures analysis of variance (ANOVA) or paired t-tests. Two further region-of-interest (ROI) based ADC fits were applied (b-values = 100, 1,000 and 1,500 s/mm² and b-values = 100 and 1,000 s/mm²), and receiver operating characteristic (ROC) curves were constructed to determine the discriminatory ability of ADC values between malignant and benign prostatic tissue and compared using the nonparametric approach described by De-Long. (3)Results
A total of 33 index lesions were identified on imaging; PZ = 23 (69.7%), TZ = 10 (30.3%). Sensitivity and specificity did not differ between DWI sequences (p = 0.125 – 1.000), but inter-observer agreement improved from moderate (0.568 (95%CI 0.397-0.739)) in conventional DWI to substantial (0.711 (95%CI 0.567-0.853)) in FOCUS DWI. There were significantly lower SNRs and CNRs for the FOCUS diffusion-weighted images but similar CNR on ADC maps (table 2). ADC showed excellent discrimination between malignant and benign tumours with no statistically significant difference between sequences or ADC fitting methods (table 3, figure 1). However, ADC values for both tumour lesions and benign tissue were significantly lower with FOCUS (table 4).Discussion
Consistent
with other reduced FOV DWI studies (4), the reduced SNR can
be explained by the smaller voxel size and signal loss from both the long
two-dimensional radiofrequency pulse and saturation effects from the shorter
repetition time. Despite the reduced SNR
and CNR in FOCUS DWI images, the diagnostic accuracy was maintained which may
be due to the similar contrast on ADC maps. The mean ADCs for conventional
ss-EPI correspond well with previous literature. However, our values for FOCUS ADC maps were
lower than Feng et al, who reported a mean tumour ADC value of 0.974x10-³mm²/s
(2, 5, 6). This
change in absolute value is likely because we used a much higher maximum b-value of 1,500 s/mm², which is more
influenced by noise. (7-9). We
also observed a significant decrease in ADC value for both benign and malignant
tissue with FOCUS DWI compared to conventional ss-EPI, mirroring other reduced
FOV studies in the prostate and breast (4, 10).
However, Feng et al found a slight increase in ADC using FOCUS against
conventional ss-EPI (2). It is thought that
the increased spatial resolution of reduced FOV DWI would lead to lower ADC
values, as partial volume effects are reduced; but the reduced SNR of FOCUS in
our study may be the cause of the significant drop in ADC values compared to
previous literature (11). Our
ROC analysis shows that mean ADC is a useful reference for distinguishing index
lesions. Recognition that there may be lower ADC cut-off values using FOCUS and
other reduced FOV sequences is important if these are to inform diagnosis. Conclusion
FOCUS
DWI at high b-value is a clinically
viable sequence that merits further investigation against radical prostatectomy
histopathology samples. It allows for improved inter-observer agreement between
radiologists of varying experience, maintaining diagnostic accuracy despite a
significant reduction in SNR and CNR of the diffusion-weighted images.Acknowledgements
No acknowledgement found.References
1. Korn N, Kurhanewicz J, Banerjee S, Starobinets O, Saritas E,
Noworolski S. Reduced-FOV excitation decreases susceptibility artifact in
diffusion-weighted MRI with endorectal coil for prostate cancer detection. Magnetic
Resonance Imaging. 2015;33(1):56-62.
2. Feng Z, Min X,
Sah VK, Li L, Cai J, Deng M, et al. Comparison of field-of-view (FOV) optimized
and constrained undistorted single shot (FOCUS) with conventional DWI for the
evaluation of prostate cancer. Clinical Imaging. 2015;39(5):851-5.
3. DeLong ER, DeLong
DM, Clarke-Pearson DL. Comparing the areas under two or more correlated
receiver operating characteristic curves: a nonparametric approach. Biometrics.
1988;44(3):837-45.
4. Rosenkrantz A,
Chandarana H, Pfeuffer J, Triolo M, Shaikh M, Mossa D, et al. Zoomed
echo-planar imaging using parallel transmission: impact on image quality of
diffusion-weighted imaging of the prostate at 3T. Abdom Imaging.
2015;40(1):120-6.
5. Koo IH, Kim CK,
Choi D, Park BK, Kwon GY, Kim B. Diffusion-Weighted Magnetic Resonance Imaging
for the Evaluation of Prostate Cancer: Optimal B Value at 3T. Korean Journal of
Radiology. 2013;14(1):61-9.
6. Tamada T, Sone T, Jo Y, Yamamoto A, Ito K.
Diffusion-weighted MRI and its role in prostate cancer. NMR in Biomedicine.
2014;27(1):25-38.
7. Metens T, Miranda
D, Absil J, Matos C. What is the optimal b value in diffusion-weighted MR
imaging to depict prostate cancer at 3T? Eur Radiol. 2012;22(3):703-9.
8. Wang X, Qian Y,
Liu B, Cao L, Fan Y, Zhang JJ, et al. High-b-value diffusion-weighted MRI for
the detection of prostate cancer at 3 T. Clinical Radiology.
2014;69(11):1165-70.
9. Peng Y, Jiang Y,
Antic T, Sethi I, Schmid-Tannwald C, Eggener S, et al. Apparent diffusion
coefficient for prostate cancer imaging: Impact of b values. American Journal
of Roentgenology. 2014;202(3):W247-W53.
10. Dong H, Li Y, Li
H, Wang B, Hu B. Study of the Reduced Field-of-View Diffusion-Weighted Imaging
of the Breast. Clinical Breast Cancer. 2014;14(4):265-71.
11. Saritas EU, Lee JH, Nishimura DG. SNR Dependence of Optimal
Parameters for Apparent Diffusion Coefficient Measurements. IEEE Transactions
on Medical Imaging. 2011;30(2):424-37.