Literature DB >> 1507322

Stone surface area determination techniques: a unifying concept of staghorn stone burden assessment.

H S Lam1, J E Lingeman, R Russo, G T Chua.   

Abstract

The use of stone surface area measurements obtained from standard radiographs provides a more accurate and reproducible assessment of stone burden when reporting results and treatment recommendations for staghorn calculi. Techniques for determining stone surface area include use of graph paper, planimeter or computerized image analysis. The use of graph paper is inefficient while planimeters suffer from significant variation for areas less than 500 mm.2 (more than 5%). Computer image analysis is accurate, rapid and easiest to perform. Software programs compatible with microcomputers are readily available making assessment of stone surface area practical and inexpensive. Stone surface area showed close correlation to stone volume as measured by 3-dimensional computerized tomography (correlation coefficient 0.84, p = 0.005). Stone surface area determination enables more accurate reporting of treatment results and, thus, recommendations based upon stone burden. Comparison of data between institutions becomes more meaningful if stone surface area is used. Stone surface area also provides a useful basis to study and compare trends of treatment within a single institution.

Mesh:

Year:  1992        PMID: 1507322     DOI: 10.1016/s0022-5347(17)36806-4

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  9 in total

1.  The comparison of laparoscopic pyelolithotomy and percutaneous nephrolithotomy in the treatment of solitary large renal pelvic stones.

Authors:  Ahmet Tefekli; Abdulkadir Tepeler; Tolga Akman; Muzaffer Akçay; Murat Baykal; Mert Ali Karadağ; Ahmet Y Muslumanoglu; Jean de la Rosette
Journal:  Urol Res       Date:  2012-02-04

2.  Investigation of the microstructure and mineralogical composition of urinary calculi fragments by synchrotron radiation X-ray microtomography: a feasibility study.

Authors:  Jozef Kaiser; Markéta Holá; Michaela Galiová; Karel Novotný; Viktor Kanický; Petr Martinec; Jiří Sčučka; Francesco Brun; Nicola Sodini; Giuliana Tromba; Lucia Mancini; Tamara Kořistková
Journal:  Urol Res       Date:  2010-12-16

3.  Consistency of Renal Stone Volume Measurements Across CT Scanner Model and Reconstruction Algorithm Configurations.

Authors:  Alice E Huang; Juan C Montoya; Maria Shiung; Shuai Leng; Cynthia H McCollough
Journal:  AJR Am J Roentgenol       Date:  2017-04-12       Impact factor: 3.959

4.  Kidney stone volume estimation from computerized tomography images using a model based method of correcting for the point spread function.

Authors:  Xinhui Duan; Jia Wang; Mingliang Qu; Shuai Leng; Yu Liu; Amy Krambeck; Cynthia McCollough
Journal:  J Urol       Date:  2012-07-21       Impact factor: 7.450

5.  Comparative study of laparoscopic pyelolithotomy versus percutaneous nephrolithotomy in the management of large renal pelvic stones.

Authors:  Yasser M Haggag; Gamal Morsy; Magdy M Badr; Abdel Baset A Al Emam; Mourad Farid; Mohamed Etafy
Journal:  Can Urol Assoc J       Date:  2013 Mar-Apr       Impact factor: 1.862

6.  Proportional analysis of the kidney arterial segments.

Authors:  F J Sampaio; J L Schiavini; L A Favorito
Journal:  Urol Res       Date:  1993

7.  A comparison of balloon and amplatz dilators in percutaneous nephrolithotomy: a retrospective evaluation.

Authors:  Burak Özçift; Kaan Bal; Çetin Dinçel
Journal:  Turk J Urol       Date:  2013-12

8.  Stone attenuation value and cross-sectional area on computed tomography predict the success of shock wave lithotripsy.

Authors:  Michio Tanaka; Eisuke Yokota; Yoichiro Toyonaga; Fumitaka Shimizu; Yoshiyuki Ishii; Makoto Fujime; Shigeo Horie
Journal:  Korean J Urol       Date:  2013-07-15

9.  Staghorn classification: Platform for morphometry assessment.

Authors:  Shashikant Mishra; Amit S Bhattu; Ravindra B Sabnis; Mahesh R Desai
Journal:  Indian J Urol       Date:  2014-01
  9 in total

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