292 related articles for article (PubMed ID: 29845319)
1. Advanced non-contrasted computed tomography post-processing by CT-Calculometry (CT-CM) outperforms established predictors for the outcome of shock wave lithotripsy.
Langenauer J; Betschart P; Hechelhammer L; Güsewell S; Schmid HP; Engeler DS; Abt D; Zumstein V
World J Urol; 2018 Dec; 36(12):2073-2080. PubMed ID: 29845319
[TBL] [Abstract][Full Text] [Related]
2. A Prospective Evaluation of High-Resolution CT Parameters in Predicting Extracorporeal Shockwave Lithotripsy Success for Upper Urinary Tract Calculi.
Abdelhamid M; Mosharafa AA; Ibrahim H; Selim HM; Hamed M; Elghoneimy MN; Salem HK; Abdelazim MS; Badawy H
J Endourol; 2016 Nov; 30(11):1227-1232. PubMed ID: 27597174
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of computed tomography findings for success prediction after extracorporeal shock wave lithotripsy for urinary tract stone disease.
Celik S; Bozkurt O; Kaya FG; Egriboyun S; Demir O; Secil M; Celebi I
Int Urol Nephrol; 2015 Jan; 47(1):69-73. PubMed ID: 25311505
[TBL] [Abstract][Full Text] [Related]
4. Variation Coefficient of Stone Density: A Novel Predictor of the Outcome of Extracorporeal Shockwave Lithotripsy.
Yamashita S; Kohjimoto Y; Iguchi T; Nishizawa S; Iba A; Kikkawa K; Hara I
J Endourol; 2017 Apr; 31(4):384-390. PubMed ID: 28052698
[TBL] [Abstract][Full Text] [Related]
5. How do stone attenuation and skin-to-stone distance in computed tomography influence the performance of shock wave lithotripsy in ureteral stone disease?
Müllhaupt G; Engeler DS; Schmid HP; Abt D
BMC Urol; 2015 Jul; 15():72. PubMed ID: 26201514
[TBL] [Abstract][Full Text] [Related]
6. Computed Tomography-Based Novel Prediction Model for the Outcome of Shockwave Lithotripsy in Proximal Ureteral Stones.
Park HS; Gong MK; Yoon CY; Moon du G; Cheon J; Choi YD
J Endourol; 2016 Jul; 30(7):810-6. PubMed ID: 27042952
[TBL] [Abstract][Full Text] [Related]
7. Evaluating the importance of mean stone density and skin-to-stone distance in predicting successful shock wave lithotripsy of renal and ureteric calculi.
Wiesenthal JD; Ghiculete D; D'A Honey RJ; Pace KT
Urol Res; 2010 Aug; 38(4):307-13. PubMed ID: 20625891
[TBL] [Abstract][Full Text] [Related]
8. Shock wave lithotripsy success determined by skin-to-stone distance on computed tomography.
Pareek G; Hedican SP; Lee FT; Nakada SY
Urology; 2005 Nov; 66(5):941-4. PubMed ID: 16286099
[TBL] [Abstract][Full Text] [Related]
9. A new nomogram for prediction of outcome of pediatric shock-wave lithotripsy.
Dogan HS; Altan M; Citamak B; Bozaci AC; Karabulut E; Tekgul S
J Pediatr Urol; 2015 Apr; 11(2):84.e1-6. PubMed ID: 25812469
[TBL] [Abstract][Full Text] [Related]
10. External Validation of Triple D Score in an Elderly (≥65 Years) Population for Prediction of Success Following Shockwave Lithotripsy.
Gökce MI; Esen B; Gülpınar B; Süer E; Gülpınar Ö
J Endourol; 2016 Sep; 30(9):1009-16. PubMed ID: 27392789
[TBL] [Abstract][Full Text] [Related]
11. Variables measured on three-dimensional computed tomography are preferred for predicting the outcomes of shock wave lithotripsy.
Kobayashi M; Waseda Y; Fuse H; Takazawa R
World J Urol; 2022 Feb; 40(2):569-575. PubMed ID: 34687343
[TBL] [Abstract][Full Text] [Related]
12. Comparing non contrast computerized tomography criteria versus dual X-ray absorptiometry as predictors of radio-opaque upper urinary tract stone fragmentation after electromagnetic shockwave lithotripsy.
Hameed DA; Elgammal MA; ElGanainy EO; Hageb A; Mohammed K; El-Taher AM; Mostafa MM; Ahmed AI
Urolithiasis; 2013 Nov; 41(6):511-5. PubMed ID: 23907170
[TBL] [Abstract][Full Text] [Related]
13. Simple and practical nomograms for predicting the stone-free rate after shock wave lithotripsy in patients with a solitary upper ureteral stone.
Niwa N; Matsumoto K; Miyahara M; Omura M; Kobayashi H; Kikuchi E; Miyajima A; Miyata K; Oya M
World J Urol; 2017 Sep; 35(9):1455-1461. PubMed ID: 28220189
[TBL] [Abstract][Full Text] [Related]
14. Do we really need kidneys-ureters-bladder radiography to predict stone radiopacity before treatment with shockwave lithotripsy? Development and internal validation of a novel predictive model based on computed tomography parameters.
Sfoungaristos S; Hidas G; Gofrit ON; Yutkin V; Latke A; Landau EH; Pode D; Duvdevani M
J Endourol; 2015 May; 29(5):498-503. PubMed ID: 25945651
[TBL] [Abstract][Full Text] [Related]
15. Single extracorporeal shock-wave lithotripsy for proximal ureter stones: Can CT texture analysis technique help predict the therapeutic effect?
Xun Y; Li J; Geng Y; Liu Z; Yu X; Wang X; Xiao F; Li Z; Li C; Wang S
Eur J Radiol; 2018 Oct; 107():84-89. PubMed ID: 30292278
[TBL] [Abstract][Full Text] [Related]
16. The Predictive Role of Abdominal Fat Parameters and Stone Density on SWL Outcomes.
Kaya C; Kaynak Y; Karabag A; Aykaç A
Curr Med Imaging Rev; 2020; 16(1):80-87. PubMed ID: 31989897
[TBL] [Abstract][Full Text] [Related]
17. Noncontrast computed tomography can predict the outcome of shockwave lithotripsy via accurate stone measurement and abdominal fat distribution determination.
Geng JH; Tu HP; Shih PM; Shen JT; Jang MY; Wu WJ; Li CC; Chou YH; Juan YS
Kaohsiung J Med Sci; 2015 Jan; 31(1):34-41. PubMed ID: 25600918
[TBL] [Abstract][Full Text] [Related]
18. A prospective multivariate analysis of factors predicting stone disintegration by extracorporeal shock wave lithotripsy: the value of high-resolution noncontrast computed tomography.
El-Nahas AR; El-Assmy AM; Mansour O; Sheir KZ
Eur Urol; 2007 Jun; 51(6):1688-93; discussion 1693-4. PubMed ID: 17161522
[TBL] [Abstract][Full Text] [Related]
19. A novel model using computed tomography parameters to predict shock wave lithotripsy success in ureteral stones at different locations.
Akkaş F; Culha MG; Ayten A; Danacıoğlu YO; Yildiz Ö; İnci E; Guner E; Şahin S
Actas Urol Esp (Engl Ed); 2022 Mar; 46(2):114-121. PubMed ID: 35184987
[TBL] [Abstract][Full Text] [Related]
20. Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases.
Yamashita S; Kohjimoto Y; Iwahashi Y; Iguchi T; Nishizawa S; Kikkawa K; Hara I
Biomed Res Int; 2018; 2018():9253952. PubMed ID: 30627582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
