Literature DB >> 17651761

Value of automated coronal reformations from 64-section multidetector row computerized tomography in the diagnosis of urinary stone disease.

Wen-Chiung Lin1, Raul N Uppot, Chao-Shiang Li, Peter F Hahn, Dushyant V Sahani.   

Abstract

PURPOSE: We determined the value of automated coronal reformation using 64-detector computerized tomography for the detection of urinary stones.
MATERIALS AND METHODS: A total of 72 patients underwent unenhanced 64-detector computerized tomography to diagnose urinary stones. Two radiologists independently reviewed coronal reformations and axial images at separate reading sessions. The stone detection rate, reader confidence and interpretation time per radiologist were recorded. Two radiologists reviewed coronal and axial images in consensus and served as the reference standard.
RESULTS: A total of 175 stones were diagnosed by consensus. Using coronal reformations 162 stones (92.6%) were detected by reader 1 and 157 (89.7%) were detected by reader 2. Using axial images 157 stones (90.3%) were detected by reader 1 and 155 (88.6%) were detected by reader 2. The reading time of coronal reformations was significantly shorter than that of axial images for each reader (p <0.01). Using coronal imaging to complement axial imaging 12 additional stones were detected and 23 were diagnosed with increased confidence by reader 1, while an additional 15 were detected and 8 were diagnosed with increased confidence by reader 2. The mean size of stones detected with coronal reformations alone was significantly smaller than that of the total stones. Excellent interobserver agreement was noted for coronal reformations and axial images (kappa coefficient: 0.91 and 0.904, respectively).
CONCLUSIONS: Review of automated coronal reformations allows equally accurate and more rapid detection of urinary stones compared with axial images alone. In addition, coronal reformation of 64-detector computerized tomography adds value when used in conjunction with axial data sets.

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Year:  2007        PMID: 17651761     DOI: 10.1016/j.juro.2007.05.042

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


  11 in total

1.  Urinary stone size estimation: a new segmentation algorithm-based CT method.

Authors:  Mats Lidén; Torbjörn Andersson; Mathias Broxvall; Per Thunberg; Håkan Geijer
Journal:  Eur Radiol       Date:  2011-12-08       Impact factor: 5.315

2.  Coronal reconstruction of unenhanced abdominal CT for correct ureteral stone size classification.

Authors:  Nadav Berkovitz; Natalia Simanovsky; Ran Katz; Shaden Salama; Nurith Hiller
Journal:  Eur Radiol       Date:  2009-11-05       Impact factor: 5.315

3.  Noncontrast multidetector CT of the kidneys: utility of 2D MPR and 3D rendering to elucidate genitourinary pathology.

Authors:  Pamela T Johnson; Karen M Horton; Elliot K Fishman
Journal:  Emerg Radiol       Date:  2009-12-09

4.  Variation in Radiologic and Urologic Computed Tomography Interpretation of Urinary Tract Stone Burden: Results From the Registry for Stones of the Kidney and Ureter.

Authors:  David T Tzou; Dylan Isaacson; Manint Usawachintachit; Zhen J Wang; Kazumi Taguchi; Nancy K Hills; Ryan S Hsi; Benjamin A Sherer; Shalonda Reliford-Titus; Brian Duty; Jonathan D Harper; Mathew Sorensen; Roger L Sur; Marshall L Stoller; Thomas Chi
Journal:  Urology       Date:  2017-10-13       Impact factor: 2.649

5.  CT multiplanar reconstructions (MPR) for shrapnel injury trajectory.

Authors:  Olga R Brook; Ayelet Eran; Ahuva Engel
Journal:  Emerg Radiol       Date:  2011-10-14

6.  Unenhanced MDCT in suspected urolithiasis: improved stone detection and density measurements using coronal maximum-intensity-projection images.

Authors:  Michael T Corwin; Margaret Hsu; John P McGahan; Machelle Wilson; Ramit Lamba
Journal:  AJR Am J Roentgenol       Date:  2013-11       Impact factor: 3.959

7.  Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization.

Authors:  Anushri Parakh; Hyunkwang Lee; Jeong Hyun Lee; Brian H Eisner; Dushyant V Sahani; Synho Do
Journal:  Radiol Artif Intell       Date:  2019-07-24

Review 8.  Advances in CT imaging for urolithiasis.

Authors:  Yasir Andrabi; Manuel Patino; Chandan J Das; Brian Eisner; Dushyant V Sahani; Avinash Kambadakone
Journal:  Indian J Urol       Date:  2015 Jul-Sep

Review 9.  Use of expert panels to define the reference standard in diagnostic research: a systematic review of published methods and reporting.

Authors:  Loes C M Bertens; Berna D L Broekhuizen; Christiana A Naaktgeboren; Frans H Rutten; Arno W Hoes; Yvonne van Mourik; Karel G M Moons; Johannes B Reitsma
Journal:  PLoS Med       Date:  2013-10-15       Impact factor: 11.069

10.  Comparison of ureteric stone size, on bone window versus standard soft-tissue window settings, on multi-detector non-contrast computed tomography.

Authors:  Hussam Uddin Soomro; M Hammad Ather; Basit Salam
Journal:  Arab J Urol       Date:  2016-07-26
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