Literature DB >> 24814177

Detection of urolithiasis: comparison of 100% tube exposure images reconstructed with filtered back projection and 50% tube exposure images reconstructed with sinogram-affirmed iterative reconstruction.

Erick M Remer1, Brian R Herts, Andrew Primak, Nancy A Obuchowski, Alison Greiwe, Daniel M Roesel, Andrei S Purysko, Myra K Feldman, Shubha De, Shetal N Shah, Frank Dong, Manoj Monga, Mark E Baker.   

Abstract

PURPOSE: To compare images acquired with 50% tube exposure with a dual-source computed tomographic (CT) scanner and reconstructed with sinogram-affirmed iterative reconstruction (SAFIRE) with 100% exposure images reconstructed with filtered back projection (FBP) for reader ability to detect stones, reader confidence, and findings outside the urinary tract.
MATERIALS AND METHODS: In this HIPAA-compliant, institutional review board-approved study, imaging examinations in 99 patients with urolithiasis were assessed. Data from both tubes were reconstructed with FBP; data from the primary tube only were reconstructed with SAFIRE. Seven readers evaluated randomized studies for calculi in nine regions. Reader confidence was scored by using a five-point scale. Ancillary findings were noted. Nonparametric methods for clustered data were used to estimate the area under the receiver operating characteristic curves with 95% confidence intervals to test for noninferiority of 50% exposure with SAFIRE.
RESULTS: Calculi were found in 113 locations (pyelocalyceal ureter, 86; proximal ureter, seven; midureter, four; distal ureter, 15; bladder, one) and not found in 752 locations. Mean area under the receiver operating characteristic curve for FBP was 0.879 (range, 0.607-0.967) and for SAFIRE, 0.883 (range, 0.646-0.971; 95% confidence interval: -0.025, 0.031). The SAFIRE images were not significantly inferior to FBP images (P = .001). Reader confidence levels for images with stones were similar with FBP and SAFIRE (P = .963). For the 52 patients who had extraurinary findings, readers reported them correctly in 74.4% (271 of 364) and 72.0% (262 of 364) of cases (P = .215) for FBP and SAFIRE, respectively. For the nine patients with potentially important findings per the reference standard, the detection rates were 44% (28 of 63) and 33% (21 of 63, P = .024), respectively. For the 43 patients with unimportant or likely unimportant findings, the false detection rates were 15% (44 of 301) and 14% (43 of 301, P = .756), respectively.
CONCLUSION: The 50% tube exposure CT images reconstructed with SAFIRE were not inferior to 100% exposure images reconstructed with FBP for diagnosis of urolithiasis, without decreases in reader confidence.

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Year:  2014        PMID: 24814177     DOI: 10.1148/radiol.14132381

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  [Infectious diseases and injuries of bladder and urinary tract].

Authors:  J Budjan; P Riffel; M M Ong; C Bolenz; S O Schönberg; S Haneder
Journal:  Radiologe       Date:  2014-11       Impact factor: 0.635

2.  Determining the composition of urinary tract calculi using stone-targeted dual-energy CT: evaluation of a low-dose scanning protocol in a clinical environment.

Authors:  Richard J Chaytor; Krishnamoorthy Rajbabu; Paul A Jones; Liam McKnight
Journal:  Br J Radiol       Date:  2016-09-21       Impact factor: 3.039

3.  Increased urinary bladder volume improves the detectability of urinary stones at the ureterovesical junction in non-enhanced computed tomography (NECT).

Authors:  Maxim Avanesov; Julja Togmat; Mehtap Solmaz; Michael Gerhard Kaul; Azien Laqmani; Helena Guerreiro; Sarah Keller; Lars Weisbach; Gerhard Adam; Jin Yamamura
Journal:  Eur Radiol       Date:  2019-06-17       Impact factor: 5.315

Review 4.  Imaging in the diagnosis of pediatric urolithiasis.

Authors:  Gabrielle C Colleran; Michael J Callahan; Harriet J Paltiel; Caleb P Nelson; Bartley G Cilento; Michelle A Baum; Jeanne S Chow
Journal:  Pediatr Radiol       Date:  2016-11-04

5.  Dual-Source Single-Energy Multidetector CT Used to Obtain Multiple Radiation Exposure Levels within the Same Patient: Phantom Development and Clinical Validation.

Authors:  Davide Bellini; Juan Carlos Ramirez-Giraldo; Alex Bibbey; Justin Solomon; Lynne M Hurwitz; Alfredo Farjat; Achille Mileto; Ehsan Samei; Daniele Marin
Journal:  Radiology       Date:  2016-12-05       Impact factor: 11.105

6.  Effect of Radiation Dose Reduction and Reconstruction Algorithm on Image Noise, Contrast, Resolution, and Detectability of Subtle Hypoattenuating Liver Lesions at Multidetector CT: Filtered Back Projection versus a Commercial Model-based Iterative Reconstruction Algorithm.

Authors:  Justin Solomon; Daniele Marin; Kingshuk Roy Choudhury; Bhavik Patel; Ehsan Samei
Journal:  Radiology       Date:  2017-02-07       Impact factor: 11.105

7.  Radiation Dose Reduction in Pediatric Body CT Using Iterative Reconstruction and a Novel Image-Based Denoising Method.

Authors:  Lifeng Yu; Joel G Fletcher; Maria Shiung; Kristen B Thomas; Jane M Matsumoto; Shannon N Zingula; Cynthia H McCollough
Journal:  AJR Am J Roentgenol       Date:  2015-11       Impact factor: 3.959

8.  Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone.

Authors:  Xiaohu Li; Hongmin Shu; Yifei Zhang; Xiaoshu Li; Jian Song; Junhua Du; Yinfeng Qian; Bin Liu; Yongqiang Yu
Journal:  Oncotarget       Date:  2018-04-13

9.  Sinogram-Affirmed Iterative Reconstruction Negatively Impacts the Risk Category Based on Agatston Score: A Study Combining Coronary Calcium Score Measurement and Coronary CT Angiography.

Authors:  Wei Wang; Yan E Zhao; Li Qi; Chang Sheng Zhou; Meng Jie Lu; Jian Xin Yang; Long Jiang Zhang; Guang Ming Lu
Journal:  Biomed Res Int       Date:  2020-07-13       Impact factor: 3.411

10.  Bone mineral density assessment using iterative reconstruction compared with quantitative computed tomography as the standard of reference.

Authors:  Constanze Mann; Katharina Ziegeler; Jürgen Mews; Martina Plaschke; Ahi Sema Issever
Journal:  Sci Rep       Date:  2018-10-10       Impact factor: 4.379

  10 in total

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