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Erschienen in: European Radiology 12/2013

01.12.2013 | Gastrointestinal

Clinical impact of an adaptive statistical iterative reconstruction algorithm for detection of hypervascular liver tumours using a low tube voltage, high tube current MDCT technique

verfasst von: Daniele Marin, Kingshuk Roy Choudhury, Rajan T. Gupta, Lisa M. Ho, Brian C. Allen, Sebastian T. Schindera, James G. Colsher, Ehsan Samei, Rendon C. Nelson

Erschienen in: European Radiology | Ausgabe 12/2013

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Abstract

Objectives

To investigate the impact of an adaptive statistical iterative reconstruction (ASiR) algorithm on diagnostic accuracy and confidence for the diagnosis of hypervascular liver tumours, as well as the reader’s perception of image quality, using a low tube voltage (80 kVp), high tube current computed tomography (CT) technique.

Methods

Forty patients (29 men, 11 women) with 65 hypervascular liver tumours underwent dual energy CT. The 80 kV set of the dual energy acquisition was reconstructed with standard filtered backprojection (FBP) and ASiR at different blending levels. Lesion contrast-to-noise ratio (CNR), reader’s confidence for lesion detection and characterisation, and reader’s evaluation of image quality were recorded.

Results

ASiR yielded significantly higher CNR values compared with FBP (P < 0.0001 for all comparisons). Reader’s perception of lesion conspicuity and confidence in the diagnosis of malignancy were also higher with 60 % and 80 % ASiR, compared with FBP (P = 0.01 and < 0.001, respectively). Compared with FBP, ASiR yielded nearly significantly lower specificity for lesion detection and a substantial decrease in the reader’s perception of image quality.

Conclusions

Compared with the standard FBP algorithm, ASiR significantly improves conspicuity of hypervascular liver lesions. This improvement may come at the cost of decreased specificity and reader’s perception of image quality.

Key Points

• Adaptive statistical iterative reconstruction algorithms (ASiRs) offer increasing potential in multidetector CT.
• An ASiR algorithm significantly improves conspicuity of hypervascular liver lesions at MDCT.
• Improved lesion conspicuity translates into increased reader’s confidence for diagnosis of malignancy.
• False positive findings may increase with ASiR, leading to potentially lower specificity.
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Metadaten
Titel
Clinical impact of an adaptive statistical iterative reconstruction algorithm for detection of hypervascular liver tumours using a low tube voltage, high tube current MDCT technique
verfasst von
Daniele Marin
Kingshuk Roy Choudhury
Rajan T. Gupta
Lisa M. Ho
Brian C. Allen
Sebastian T. Schindera
James G. Colsher
Ehsan Samei
Rendon C. Nelson
Publikationsdatum
01.12.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 12/2013
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-013-2964-1

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