Axial Diameter is Superior to Volumetric Measurement in Predicting Ureteral Stone Passage

Author(s):  
Parth M. Patel ◽  
Alexander M. Kandabarow ◽  
Victor S. Chen ◽  
Hannah Slovacek ◽  
Abrar Mian ◽  
...  
2021 ◽  
Vol 16 (3) ◽  
Author(s):  
Nassib Abou Heidar ◽  
Muhieddine Labban ◽  
David-Dan Nguyen ◽  
Adnan El-Achkar ◽  
Mazen Mansour ◽  
...  

Introduction: Recent studies have shown that software-generated 3D stone volume calculations are better predictors of stone burden than measured maximal axial stone diameter. However, no studies have assessed the role of formula estimated stone volume, a more practical and cheaper alternative to software calculations, to predict spontaneous stone passage (SSP). Methods: We retrospectively included patients discharged from our emergency department on conservative treatment for ureteral stone (≤10 mm). We collected patient demographics, comorbidities, and laboratory tests. Using non-contrast computed tomography (CT) reports, stone width, length, and depth (w, l, d, respectively) were used to estimate stone volumes using the ellipsoid formula: V=π*l*w*d*0.167. Using a backward conditional regression, two models were developed incorporating either estimated stone volume or maximal axial stone diameter. A receiver operator characteristic (ROC) curve was constructed and the area under the curve (AUC) was computed and compared to the other model. Results: We included 450 patients; 243 patients (54%) had SSP and 207 patients (46%) failed SSP. The median calculated stone volume was significantly smaller among patients with SSP: 25 (14–60) mm3 vs. 113 (66–180) mm3 (p<0.001). After adjusting for covariates, predictors of retained stone included: neutrophil to lymphocyte ratio (NLR) ≥3.14 (odds ratio [OR] 6, 95 % confidence interval [CI] 3.49–10.33), leukocyte esterase (LE) >75 (OR 4.83, 95% CI 2.12–11.00), and proximal stone (OR 2.11, 95% CI 1.16–3.83). For every 1 mm3 increase in stone volume, the risk of SSP failure increased by 2.5%. The model explained 89.4% (0.864–0.923) of the variability in the outcome. This model was superior to the model including maximal axial diameter (0.881, 0.847–0.909, p=0.04). Conclusions: We present a nomogram incorporating stone volume to better predict SSP. Stone volume estimated using an ellipsoid formula can predict SSP better than maximal axial diameter.


2018 ◽  
Vol 90 (3) ◽  
pp. 163-165
Author(s):  
Mohammad Hadi Radfar ◽  
Reza Valipour ◽  
Behzad Narouie ◽  
Mehdi Sotoudeh ◽  
Hamid Pakmanesh

Introduction: Previous radiological studies revealed that stones lodge more frequently in the ureterovesical junction (UVJ) as well as the proximal ureter. Factors that prevent stone passage from the proximal ureter are not well studied. Aim: To explore the site of the lodged stones in the proximal ureter with direct observation during laparoscopic ureterolithotomy. Materials and methods: Between November 2014 and February 2015, we included 26 patients including 18 men and 8 women with stones larger than 10 millimeters in the proximal ureter who were candidate for laparoscopic ureterolithotomy. We prospectively recorded the site of the lodged stones in the ureter during laparoscopic ureterolithotomy in relation with the sites of ureteral stenosis as well as the gonadal vessels. Results: Among 26 patients with ureteral stone, in 19 cases stone was found close to the gonadal vein compared with seven cases that stone was in other locations of the ureter (p = 0.02). The characteristics of patients and stones were not different in cases that the stone was close to gonadal vessels compared with other locations. Conclusions: This study showed that most of the stones lodged in the proximal ureter were in close proximity with gonadal vessels. Gonadal vessels may be an extrinsic cause of ureteral narrowing.


2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Andrew Portis ◽  
Jennifer Portis ◽  
Suzanne Neises

2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Vishnu Ganesan ◽  
Michael Kattan ◽  
Christopher Loftus ◽  
Bryan Hinck ◽  
Daniel Greene ◽  
...  
Keyword(s):  

BMC Urology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Nusret Can Cilesiz ◽  
Arif Ozkan ◽  
Arif Kalkanli ◽  
Ali Eroglu ◽  
Cem Tuğrul Gezmis ◽  
...  
Keyword(s):  

2019 ◽  
Vol 24 (3) ◽  
pp. 277-283
Author(s):  
Nassib Abou Heidar ◽  
Muhieddine Labban ◽  
Gerges Bustros ◽  
Rami Nasr

2019 ◽  
Vol 18 (7) ◽  
pp. e2899
Author(s):  
J. Da ◽  
C. Yu ◽  
Y. Zhao ◽  
L. Chen ◽  
Z. Pan ◽  
...  

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