eISSN: 2449-8238
ISSN: 2392-1099
Clinical and Experimental Hepatology
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1/2024
vol. 10
 
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abstract:
Original paper

Impact of CT texture analysis on complication rate in CT-guided liver biopsies

Maike Niebur
1
,
Jakob Leonhardi
1
,
Anne-Kathrin Höhn
1
,
Manuel Florian Struck
1
,
Sebastian Ebel
1
,
Gordian Prasse
1
,
Timm Denecke
1
,
Hans-Jonas Meyer
1

  1. University of Leipzig, Germany
Clin Exp HEPATOL 2024; 10, 1: 72–78
DOI: https://doi.org/10.5114/ceh.2024.134141
Online publish date: 2024/01/04
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Aim of the study:
Texture analysis derived from computed tomography (CT) involves quantitative imaging parameters characterizing possible valuable associations with clinical purposes. Their prognostic capability in patients undergoing percutaneous CT-guided liver biopsy to identify associations with postinterventional bleeding complications and biopsy success is not sufficiently explored.

Material and methods:
Three hundred fifteen patients (124 female, 39%) with a mean age of 62.5 ±10.2 years underwent percutaneous CT-guided liver biopsy and were analyzed regarding clinical, procedure-related, and CT texture features.

Results:
Thirty patients (9.5%) presented with bleeding after biopsy (including two requiring interventional treatment), whereas 46 patients (14.6%) had negative biopsy successes. Distance of lesion from liver capsule was statistically significantly different in patients with and without bleeding (p = 0.015). Several texture features were statistically significantly different between the groups, S(0,1)SumAverg having the highest significance (p = 0.004). Regarding unsuccessful biopsy results, liver fibrosis was the only clinical feature with statistical significance (p = 0.049). Only two texture features (S(4,-4)InvDfMom and Teta3) were statistically different between the groups according to the biopsy result.

Conclusions:
Several CT texture features of the target lesion and the length from the capsule to the lesion were associated with bleeding complications after CT-guided percutaneous liver biopsy. This could be used to identify patients at risk at the beginning of the procedure.

keywords:

CT, liver biopsy, hemorrhage
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