Yuma Waseda1, Soichiro Yoshida1, Taro Takahara2, Hiroshi Tanaka3, Minato Yokoyama1, Junichiro Ishioka1, Yoh Matsuoka1, Noboru Numao1, Kazutaka Saito1, Yasuhisa Fujii1, and Kazunori Kihara1
1Urology, Tokyo Medical and Dental University Graduate School, Tokyo, Japan, 2Biomedical Engineering, Tokai University School of Engineering, Kanagawa, Japan, 3Radiology, Ochanomizu Surugadai Clinic, Tokyo, Japan
Synopsis
Apparent diffusion coefficient
(ADC) value is reported to reflect aggressiveness of prostate cancer (PCa). Yet
ADC value depends on imaging protocols. To overcome the limitation, we
developed a simple method to discriminate aggressive PCa using computed DWI
(cDWI). We analyzed changes in cDWI signal of 51 PCa, that results from
increasing b-value. At b = 700 sec/mm2, signal
intensity in Gleason grade 4-5 was higher than that in normal, whereas in
Gleason grade 3 cancer it was equal to or lower than that in normal
(sensitivity/specificity: 97.0%/72.2%). Semi-quantitative analysis using DWI
might be a simple method for discriminating aggressive PCa. PURPOSE
Prostate cancer is the
most prevalent malignancy in males. Gleason grading system is the most
validated used pathological system that reflects prostate cancer aggressiveness
and predicts the clinical course.
1 The treatment strategy of
localized prostate cancer ranges from active surveillance to radical
whole-gland therapy. Recently, as an individualized and optimized treatment
option, focal treatment has received a great deal of attention in regard to its
ability to selectively eradicate significant cancer focus while preserving
uninvolved parenchyma.
2,3 Considering the biological heterogeneity
and multiplicity of prostate cancer, precise evaluation of the biological
character of each prostate cancer focus is essential in the selection of the
tumor foci that need to be treated or untreated. Diffusion-weighted MRI (DWI)
is a non-invasive imaging technique that quantifies the diffusion of water
molecules in tissues without any contrast agents, tracers, or exposure to
radiation. DWI may provide qualitative information regarding the
pathophysiological character within the tissue, and the utility of DWI for
characterizing prostrate cancer has been shown repeatedly.
4 Apparent
diffusion coefficient (ADC) is a quantitative marker that reflects the
magnitude of water diffusion in the tissue, and significant correlation of ADC
value with Gleason grade has been reported. Yet, ADC measurement has an
intrinsic limitation in that ADC value depends on the MRI system and imaging
protocols. To overcome this limitation, we developed a new semi-quantitative
method to predict the aggressiveness of prostate cancer using a computed DWI
(cDWI) technique.
5,6 cDWI is a computational technique that enables
us to synthesize arbitrary b-value DWI
from a set of b-value images. Here,
we report the utility of cDWI in idenfifying aggressive prostate cancer, and
propose an optimal b-value to aid in
the discrimination of aggressive
prostate cancer in clinical practice.
METHODS
Of the patients who underwent multi-sequence MRI, including DWI, prior
to the radical prostatectomy, 51 patients whose index cancer was located in the
peripheral zone shown in a radical prostatectomy specimen were evaluated in
this study. Multi-sequence
MRI, including T1- and T2-weighted imaging and DWI, was performed using a 1.5-Tesla imager (Intera
Achieva; Philips, Best, Netherlands) with a 32-channel sensitivity encoding
body coil under free breathing. cDWI was generated from DWI images with b-values of 0 and 1000 sec/mm
2.
We evaluated the change in cDWI signal intensity that results from increasing
the b-value in the index cancerous
and normal peripheral zone regions. Regions of interest were placed on the index cancerous
region and in an area of normal peripheral zone by reference to the
pathological findings of radical prostatectomy specimen. The changes in
the cDWI signal intensity of prostate cancer were compared according to the
Gleason grade.
RESULTS
The objective index cancers
were Gleason grade 3/4/5: n=18/30/3. In all cancerous regions and all normal peripheral zone regions, the
signal intensity decreased as b-value
increased. In all patients, the signal intensities of cancerous regions were lower
at b = 0 sec/mm
2 and higher
at b = 1000 sec/mm
2 than those
of normal peripheral zone regions.
At one b-value, however, the signal
intensities of the cancerous and normal peripheral zone regions were equal; we defined this b-value as the “iso-b-value”. The iso-b-value
of Gleason grade 3 cancer was significantly higher than that of Gleason grade 4-5 cancer (median, 736 vs 561
sec/mm
2; p < 0.001). The iso-b-value
showed an AUC of 0.950 for discriminating Gleason grade 4-5 cancer from Gleason
grade 3 cancer. When b-value was set
at 700 sec/mm
2, signal intensity in Gleason grade 4-5 cancer was
higher than that in normal peripheral zone regions, whereas in Gleason grade 3
cancer, it was equal or lower than that in normal peripheral zone regions, with a sensitivity of
97.0% and a specificity of 72.2%.
DISCUSSION
The
current analysis showed that the iso-b-value
correlated inversely with Gleason grade of the prostate cancer. Furthermore, b = 700 sec/mm
2 was proposed
to be an optimal b-value for easy
discrimination of aggressive prostate cancer in clinical practice.
CONCLUSION
Iso-b-value calculated from the cDWI might be a useful biomarker for discriminating aggressive prostate cancer.
Semi-quantitative analysis using DWI at b
= 700 sec/mm
2 might be a simple method for discriminating aggressive
prostate cancer.
Acknowledgements
No acknowledgement found.References
1. Epstein JI, Allsbrook WC, Jr., Amin MB,
Egevad LL. The 2005 International Society of Urological Pathology (ISUP)
Consensus Conference on Gleason Grading of Prostatic Carcinoma. Am J Surg
Pathol. 2005;29(9):1228-1242.
2. Ahmed HU, Hindley RG, Dickinson L, et
al. Focal therapy for localised unifocal and multifocal prostate cancer: a
prospective development study. Lancet Oncol 2012;13(6):622-632.
3. Smith DW, Stoimenova D, Eid K, Barqawi
A. The role of targeted focal therapy in the management of low-risk prostate
cancer: update on current challenges. Prostate Cancer. 2012;2012:587139.
4. Wu LM, Xu JR, Ye YQ, et al. The clinical
value of diffusion-weighted imaging in combination with T2-weighted imaging in
diagnosing prostate carcinoma: a systematic review and meta-analysis. AJR Am J
Roentgenol. 2012;199(1):103-110.
5. Maas MC, Fütterer JJ, Scheenen TW.
Quantitative evaluation of computed high B value diffusion-weighted magnetic
resonance imaging of the prostate. Invest Radiol. 2013;48(11):779-86.
6. Ueno Y, Takahashi S, Ohno Y, et al.
Computed diffusion-weighted MRI for prostate cancer detection: the influence of
the combinations of b-values. Br J Radiol. 2015;88(1048):20140738.