Literature DB >> 21785096

The relative effect of vendor variability in CT perfusion results: a method comparison study.

Benjamin M Zussman1, Garen Boghosian, Richard J Gorniak, Mark E Olszewski, Katrina M Read, Khan M Siddiqui, Adam E Flanders.   

Abstract

OBJECTIVE: There are known interoperator, intraoperator, and intervendor software differences that can influence the reproducibility of quantitative CT perfusion values. The purpose of this study was to determine the relative impact of operator and software differences in CT perfusion variability.
MATERIALS AND METHODS: CT perfusion imaging data were selected for 11 patients evaluated for suspected ischemic stroke. Three radiologists each independently postprocessed the source data twice, using four different vendor software applications. Results for cerebral blood volume (CBV), cerebral blood flow (CBF), and mean transit time (MTT) were recorded for the lentiform nuclei in both hemispheres. Repeated variables multivariate analysis of variance was used to assess differences in the means of CBV, CBF, and MTT. Bland-Altman analysis was used to assess agreement between pairs of vendors, readers, and read times.
RESULTS: Choice of vendor software, but not interoperator or intraoperator disagreement, was associated with significant variability (p < 0.001) in CBV, CBF, and MTT. The mean difference in CT perfusion values was greater for pairs of vendors than for pairs of operators.
CONCLUSION: Different vendor software applications do not generate quantitative perfusion results equivalently. Intervendor difference is, by far, the largest cause of variability in perfusion results relative to interoperator and intraoperator difference. Caution should be exercised when interpreting quantitative CT perfusion results because these values may vary considerably depending on the postprocessing software.

Entities:  

Mesh:

Year:  2011        PMID: 21785096     DOI: 10.2214/AJR.10.6058

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  22 in total

1.  Standardization of Stroke Perfusion CT for Reperfusion Therapy.

Authors:  Guangming Zhu; Patrik Michel; Weiwei Zhang; Max Wintermark
Journal:  Transl Stroke Res       Date:  2012-03-28       Impact factor: 6.829

2.  Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study.

Authors:  Li Jun Qian; Jiong Zhu; Zhi Guo Zhuang; Qiang Xia; Yu Fan Cheng; Jian Ying Li; Jian Rong Xu
Journal:  Eur Radiol       Date:  2012-05-24       Impact factor: 5.315

3.  Optimal Computed Tomographic Perfusion Scan Duration for Assessment of Acute Stroke Lesion Volumes.

Authors:  Aimen S Kasasbeh; Søren Christensen; Matus Straka; Nishant Mishra; Michael Mlynash; Roland Bammer; Gregory W Albers; Maarten G Lansberg
Journal:  Stroke       Date:  2016-11-15       Impact factor: 7.914

4.  Post-processing of computed tomography perfusion in patients with acute cerebral ischemia: variability of inter-reader, inter-region of interest, inter-input model, and inter-software.

Authors:  Zhong-Ping Chen; Zhen-Zhen Shi; Yun-Geng Li; Yan Guo; Dan Tong
Journal:  Eur Radiol       Date:  2020-07-18       Impact factor: 5.315

5.  Is liver perfusion CT reproducible? A study on intra- and interobserver agreement of normal hepatic haemodynamic parameters obtained with two different software packages.

Authors:  Elisa Almeida Sathler Bretas; Ulysses S Torres; Lucas Rios Torres; Daniel Bekhor; Celso Fernando Saito Filho; Douglas Jorge Racy; Lorenzo Faggioni; Giuseppe D'Ippolito
Journal:  Br J Radiol       Date:  2017-08-22       Impact factor: 3.039

6.  Differences in CT perfusion summary maps for patients with acute ischemic stroke generated by 2 software packages.

Authors:  F Fahmi; H A Marquering; G J Streekstra; L F M Beenen; B K Velthuis; E VanBavel; C B Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

7.  Perfusion computed tomography: 4 cm versus 8 cm coverage size in subjects with chronic carotid artery stenosis.

Authors:  Arkadiusz Szarmach; Grzegorz Halena; Mariusz Kaszubowski; Maciej Piskunowicz; Edyta Szurowska; Andrzej F Frydrychowski; Pawel J Winklewski
Journal:  Br J Radiol       Date:  2016-08-23       Impact factor: 3.039

8.  Reproducibility and variability of very low dose hepatic perfusion CT in metastatic liver disease.

Authors:  Osman Melih Topcuoğlu; Muşturay Karçaaltıncaba; Deniz Akata; Mustafa Nasuh Özmen
Journal:  Diagn Interv Radiol       Date:  2016 Nov-Dec       Impact factor: 2.630

9.  Clinical use of computed tomographic perfusion for the diagnosis and prediction of lesion growth in acute ischemic stroke.

Authors:  Branko N Huisa; William P Neil; Ronald Schrader; Marcel Maya; Benedict Pereira; Nhu T Bruce; Patrick D Lyden
Journal:  J Stroke Cerebrovasc Dis       Date:  2012-12-14       Impact factor: 2.136

Review 10.  CT perfusion in acute stroke: know the mimics, potential pitfalls, artifacts, and technical errors.

Authors:  Rajiv Mangla; Sven Ekhom; Babak S Jahromi; Jeevak Almast; Manisha Mangla; Per-Lennart Westesson
Journal:  Emerg Radiol       Date:  2013-06-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.