Texture analysis for noninvasive assessment of hepatic fibrosis: current knowledge and future perspectives

Congress:

ECR 2020

Poster Number:

C-09540

Type:

Educational Exhibit

Keywords:

Abdominal Viscera, Liver, CT, Experimental, MR, Computer Applications-Detection, diagnosis, Technical aspects, Cirrhosis, Not applicable

Authors:

R. Cannella, F. Vernuccio, A. Comelli, G. Salvaggio, M. Midiri; Palermo/IT

DOI:

10.26044/ecr2020/C-09540

DOI-Link:

https://dx.doi.org/10.26044/ecr2020/C-09540

Fig. 1: Texture analysis for evaluation of hepatic fibrosis.

Fig. 2: Imaging modalities in recent texture analysis studies [1-13].

Fig. 3: Most common CT phases selected for texture analysis studies [1-13]. Pre:...

Fig. 4: Most common MRI sequences selected for texture analysis studies [1-13]. T1 Pre:...

Learning objectives

To review the current knowledge about the potential of texture analysis for the evaluation of hepatic fibrosis. To discuss potential perspectives and future researches for texture analysis of hepatic fibrosis.

Background

The diagnosis and staging of hepatic fibrosis is extremely important for the management of patients with chronic liver disease (CLD). The presence of significant and advanced fibrosis has been reported as independent predictor of mortality. Moreover, patients with advanced fibrosis-cirrhosis have a high risk of developing complications such has hepatocellular carcinoma or portal hypertension. Liver biopsy is the gold standard for the evaluation of hepatic fibrosis. However, biopsy is an invasive procedure with known risks including hemorrhage, infections, pain and may have several limitations such...

Findings and procedure details

Texture Analysis Methodology Texture analysis methodology has varied across different studies with a wide spectrum of extracted texture features, segmentation techniques and software. In this section we will review the definition of most common texture features and methods of recently published studies. Texture Features The number and type of texture features may vary depending on the software and on the number of phases/sequences. Texture features may be divided in three main categories including first, second and third other features. The first order features are calculated...

Conclusion

Texture analysis is a promising tool for assessment of hepatic fibrosis with a fair-to-good diagnostic performance of the detection of advanced fibrosis-cirrhosis. Knowledge of its advantages and limitations is helpful for future applications in clinical practice.

Personal information and conflict of interest

Dr. Roberto Cannella email: [email protected] Twitter: @cannella_rob Dr. Federica Vernuccio email: [email protected] Twitter: @DrF_Vernuccio Dr. Albert Comelli email: [email protected] Dr. Giuseppe Salvaggio email: [email protected] Prof. Massimo Midiri email: [email protected] The authors declare that they have no conflict of interest. Biomedicina, Neuroscienze e Diagnostica avanzata (Bi.N.D.) University of Palermo Via del Vespro 129, 90127, Palermo, Italy

References

Bahl G, et al. Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images. J Magn Reson Imaging. 2012;36:1154-1161. Cannella R, et al. Diagnostic value of MR-based texture analysis for the assessment of hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). Abdom Radiol (NY). 2019;44:1816-1824. Daginawala N, et al. Using texture analyses of contrast enhanced CT to assess hepatic fibrosis. Eur J Radiol. 2016;85:511-517. House MJ, et al. Texture-based classification of liver fibrosis using MRI. J Magn Reson...