Abstract
Aim Ultrasonography (US) has high diagnostic value in testicular torsion but is vulnerable
to several potential errors, especially in the early period. Echotexture (ETX) analysis
software provides a numerical expression of B-mode images and allows quantitative
evaluation of blood flow due to ischemic damage using power Doppler US (PDUS) analysis.
Our aim in this study was to determine the diagnostic value and effective parameters
of EXT analysis software in the early period of torsion using B-mode and PDUS images.
Materials and Methods In this study, eight rats were used. Following anesthesia, the right testis was rotated
to a 1080-degree counterclockwise position whereas the left testis was left in place
to have a control group. B-mode and PDUS images of both sides were recorded with a
portable US device immediately (0 hour) and 1 and 2 hours after torsion. The B-mode
images were analyzed in terms of gradient, homogeneity, and contrast using the BS200pro
software (BAB Digital Imaging System 2007, Ankara, Turkey). Intensity (I)-red and
area (A)-red values were measured on PDUS images with the Pixelflux (Version 1.0,
Chameleon-Software, Leipzig, Germany). The data were evaluated by the Mann–Whitney
U and Wilcoxon tests.
Results Data from B-mode US image EXT analysis showed no significant difference between the
right and left testicles in 0 to 2 hours (p > 0.05). The values obtained from PDUS analysis (I-red and A-red) significantly decreased
at the testicular torsion side at the end of the second hour (p < 0.05). I-red and A-red values at 0 to 1 hour of torsion indicated similar blood
flow alterations (p > 0.05) whereas the flow was significantly lower at 2 hours (p < 0.05).
Conclusion In experimental testicular torsion, ischemic changes can be detected by PDUS power/angio
mode using blood flow alterations as early as the second hour. Tissue damage cannot
be evaluated within the first 2 hours of torsion with B-mode ETX analysis.
Keywords
testicular torsion - ultrasonography - echotexture - experiment - biomedical image
processing