Cody J Johnson1, Maxwell C Kounga1, Juan Pablo Gonzalez-Pereira1,2, Shane A. Wells1, Wade A. Bushman3, and Alejandro Roldán-Alzate1,2,4
1Radiology, University of Wisconsin-Madison, MADISON, WI, United States, 2Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Urology, University of Wisconsin-Madison, MADISON, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States
Synopsis
Non-invasive
methods to evaluate voiding dysfunction in men are extremely limited. We report
here a non-invasive, MRI-based protocol to characterize urethral biomechanics during
voiding. All four subjects were able to void in the scanner with high-fidelity,
3D images of the urethra. These images were successfully analyzed for anatomy,
function, and biomechanics. Future work will be aimed at furthering these methods
and resulting metrics so that they may be applied clinically.
Introduction
The urethral anatomy and biomechanics during voiding have not been well
studied. This is of considerable importance to achieve a better understanding
of voiding dysfunction in aging men and the effect of urethral stricture
disease on voiding dynamics. The commonly used diagnostic procedures of cystoscopy,
retrograde urethrography and multichannel urodynamics with fluoroscopic imaging
(video-urodynamics) are invasive and limited in the information they provide1,2.
Building on our previously published work demonstrating the capabilities of
magnetic resonance imaging (MRI) to provide 3D anatomical information of the
bladder3,4, we examined the potential for a non-invasive,
comprehensive MRI protocol to characterize urethral anatomy, function, and biomechanics
during voiding.Methods
In this HIPAA compliant, IRB-approved study, 4 healthy males ages 29,
55, 62, 74 (subjects 1-4 respectively) were recruited to void in an MRI
scanner. All scans were completed on a clinical 3T scanner (Premier, GE
Healthcare, Waukesha, WI), using a high-density flexible surface coil array
(AIR Coil, GE Healthcare). The dynamic acquisition was collected using 3D
Differential Subsampling with Cartesian Ordering (DISCO) Flex and a temporal
resolution of 3.7. 15 minutes prior to the MRI scans, 1/3 of a single weight-based
dose (0.1 mmol/kg) of gadolinium-based contrast was slowly hand injected
intravenously into each subject. Right before the scan, the subject applied a
condom catheter. The patient voided in the scanner, and dynamic imaging of the
urethra was collected throughout the void. After urination, a fast-spin echo
T2-weighted axial acquisition with an in-plane resolution of 0.625mm and a
slice thickness of 4mm. was performed in order to get anatomical reference
images of the prostate. These images were imported into Mimics (Materialise,
Leuven, Belgium), and using Mimics, urethra length and diameter at the internal
and external urethral sphincters were measured. The urethra (divided into prostatic,
membranous, and penile) was segmented (Figure 1b) at each time point of the
dynamic imaging, while the prostate was segmented from the anatomical reference
images. 3D renderings of the urethra were calculated (Figure 1c) to create a
centerline. Using the centerline with the 3D renderings allowed for the
acquisition of ellipticity (the degree of deviation from circularity) and best-fitted
diameter through the entirety of the urethra. The average best-fitted diameter was
calculated at each time step and for all three urethral sections. While the average
ellipticity of the entire urethra was only acquired when the flow was at its
maximum. When the external sphincter closed, signaling an end of voiding, residual
urine volume in the prostatic urethra was calculated from the 3D rendering. 3D
renderings of the prostate were also created from the T2-weighted images to
obtain prostate volume.Results
All men were able to void in a supine position in the scanner, and scan
sessions rendered high fidelity, full field of view images of the urethra, as
seen by the time-resolved sagittal images in Figure 1a. The average ellipticity
for the four subjects was between 0.47 and 0.64. The urethra length for
subjects 1-4 are 23.5cm, 22.6cm, 22.2cm, and 23.2cm, respectively, while the
average best-fitted diameter for each section of their respective urethras is
displayed over time across the voiding cycle in Figure 2. The prostatic and
penile sections had a greater diameter than the membranous section across the
voiding cycle for all four subjects. The internal and external urethral
sphincter diameters are shown in Figure 3, with the diameter of the internal sphincter
generally being larger throughout the voiding cycle. It should also be noted
that the internal sphincter did not always close at the same time as the
external sphincter. This resulted in residual urine in the prostatic urethra
that had volumes of 0cc, 0.89cc, 2.21cc, and 0.86cc, for subjects 1-4, respectively.
The prostate volume for the four subjects 1-4 were 22.4cc, 36.2cc, 49.4cc, and
16.6cc, respectively. Discussion
Understanding of urethral function and biomechanics has been limited by
the lack of suitable methods of study. This work demonstrates the feasibility
of using MRI to acquire a detailed 3-D assessment of urethral anatomy, function,
and biomechanics during voiding in a non-invasive fashion. In this ongoing
study, more subjects will be recruited, and correlations between prostate size
and urethral dimensions will be explored. These analysis methods and resulting
metrics may be of great value when determining the role of urethral anatomy and
biomechanics in normal voiding in men with voiding dysfunction or urethral stricture
disease. Conclusion
MRI is an imaging modality that can be used to characterize anatomical
and functional information of the urethra throughout the voiding cycle in a
safe, accurate, and reproducible way. This study demonstrates the application
of this protocol, while future studies will be aimed at applying and furthering
these methods to a larger cohort of normal men and men with lower urinary tract
dysfunction.Acknowledgements
The authors would like to acknowledge GE Healthcare and support from the
NIH (R01 DK126850-01)References
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