2008
DOI: 10.1016/j.urology.2008.05.046
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Stone Attenuation and Skin-to-Stone Distance on Computed Tomography Predicts for Stone Fragmentation by Shock Wave Lithotripsy

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Cited by 199 publications
(145 citation statements)
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“…Their result supported that SSD could predict SWL stone free rates [9]. An SSD > 110 mm was reported to be a significant predictor of an unfavorable outcome after SWL whereas SSD of < 90 mm can predict SWL success [9,10]. In our series, SSD was not a significant predictor of SW and session numbers.…”
Section: Discussionsupporting
confidence: 75%
“…Their result supported that SSD could predict SWL stone free rates [9]. An SSD > 110 mm was reported to be a significant predictor of an unfavorable outcome after SWL whereas SSD of < 90 mm can predict SWL success [9,10]. In our series, SSD was not a significant predictor of SW and session numbers.…”
Section: Discussionsupporting
confidence: 75%
“…Body habitus and renal anatomy both affect SWL outcome (Table 2). Obesity, specifically skin to stone distance (SSD) measured on axial imaging, predicts outcome, with greater than 9 or 10 cm having a poor result [26][27][28] . This is because the shock wave fired loses energy as it travels through excess body fat in a patient with an elevated body mass index [29] .…”
Section: Patient Selectionmentioning
confidence: 99%
“…Similarly, Perks et al [12] noted that the combination of an SSD less than 9.0 cm and a stone attenuation value less than 900 HU was a good predictor of SWL success as compared with other groups (OR, 7.1; 95% CI, 1.6 to 32; p<0.01). However, in the present study, SSD did not differ significantly between the success and failure groups.…”
Section: Discussionmentioning
confidence: 85%
“…Several technique of measuring stone attenuation value have been used in previous reports. Perks et al [12] investigated 2 methods elliptical region of interest (incorporating the largest cross-sectional area, excluding adjacent soft tissue) and mean attenuation calculated from three small, nonoverlapping regions of interest in each stone and found that these methods were significantly correlated (r 2 =0.98, p<0.001). We modified the former method to calculate maximum stone cross-sectional area and contour the inner edge of the stone without including the surrounding soft tissue.…”
Section: Discussionmentioning
confidence: 99%