Comparison of three freeware software packages for F-18-FDG PET texture feature calculation
| Autor: | Raffaele Solla, Michele Larobina, Rosario Megna |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Positron emission tomography
Radiomics business.industry Computer science Pattern recognition Texture (music) Software package Spearman's rank correlation coefficient 030218 nuclear medicine & medical imaging 18f fdg pet Correlation 03 medical and health sciences 0302 clinical medicine Software Oncology 030220 oncology & carcinogenesis Radiology Nuclear Medicine and imaging Artificial intelligence Texture business Texture feature Reference dataset |
| Zdroj: | Japanese journal of radiology (2021). doi:10.1007/s11604-021-01100-0 info:cnr-pdr/source/autori:Larobina, Michele; Megna, Rosario; Solla, Raffaele/titolo:Comparison of three freeware software packages for F-18-FDG PET texture feature calculation/doi:10.1007%2Fs11604-021-01100-0/rivista:Japanese journal of radiology (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume |
| Popis: | Purpose To compare texture feature estimates obtained from F-18-FDG-PET images using three different software packages. Methods PET images from 15 patients with head and neck cancer were processed with three different freeware software: CGITA, LIFEx, and Metavol. For each lesion, 38 texture features were extracted from each software package. To evaluate the statistical agreement among the features across packages a non-parametric Kruskal-Wallis test was used. Differences in the features between each couple of software were assessed using a subsequent Dunn test. Correlation between texture features was evaluated via the Spearman coefficient. Results Twenty-three of 38 features showed a significant agreement across the three software (P < 0.05). The agreement was better between LIFEx vs. Metavol (36 of 38) and worse between CGITA and Metavol (24 of 38), and CGITA vs. LIFEx (23 of 38). All features resulted correlated (rho > = 0.70, P < 0.001) in comparing LIFEx vs. Metavol. Seven of 38 features were found not in agreement and slightly or not correlated (rho < 0.70, P < 0.001) in comparing CGITA vs. LIFEx, and CGITA vs. Metavol. Conclusion Some texture discrepancies across software packages exist. Our findings reinforce the need to continue the standardization process, and to succeed in building a reference dataset to be used for comparisons. |
| Databáze: | OpenAIRE |
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