ISSN: 1899-0967
Polish Journal of Radiology
Established by prof. Zygmunt Grudziński in 1926 Sun
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1/2019
vol. 84
 
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Gastrointestinal and abdominal radiology
abstract:
Original paper

How high is the inter-observer reproducibility in the LIRADS reporting system?

Sezgin Sevim
1
,
Oğuz Dicle
1
,
Naciye S. Gezer
1
,
Mustafa M. Barış
1
,
Canan Altay
1
,
Işıl Başara Akın
1

1.
Department of Radiology, School of Medicine, Dokuz Eylül University, İnciraltı, İzmir, Turkey
© Pol J Radiol 2019; 84: e464-e469
Online publish date: 2019/11/18
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Purpose
To investigate the reproducibility of LIRADS v2014 and contribute to its widespread use in clinical practice.

Material and methods
This retrospective, single-centre study was conducted between January 2010 and October 2015. A total of 132 patients who had dynamic magnetic resonance imaging (MRI)/computed tomography (CT) images in the Picture Archiving and Communication Systems (PACS) with liver nodule were included in the study, 37 of whom had histopathology results. Five radiologists who participated in the study, interpreted liver nodules independently on different PACS stations according to the LIRADS reporting system and its main parameters.

Results
We determined that level of inter-observer agreement in the LR-1, LR-5, and LR-5V categories was higher than in the LR-2, LR-3, and LR-4 categories (κ = 0.522, 0.442, and 0.600 in the LR-1, LR-5, and LR-5V categories, respectively; κ = 0.082, 0.298, and 0.143 in the LR-2, LR-3, and LR-4 categories, respectively). The parameter that we observed to have the highest level of inter-observer agreement was venous thrombus (κ = 0.600).

Conclusions
Our study showed that LIRADS achieves an acceptable inter-observer reproducibility in terms of clinical practice although it is insufficient at intermediate risk levels. We think that the prevalence of its use will be further increased with training related to the subject and the assignment of numerical values that express the probability of malignancy for each category and including the ancillary features in the algorithm according to clearer rules.

keywords:

HCC, cirrhosis, LIRADS, liver nodule




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