Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images
Joint Authors
Wang, Hung-Ming
Yen, Tzu-Chen
Lin, Chien-Yu
Fang, Yu-Hua Dean
Shih, Meng-Jung
Ho, Tsung-Ying
Liao, Chun-Ta
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Background.
The quantification of tumor heterogeneity with molecular images, by analyzing the local or global variation in the spatial arrangements of pixel intensity with texture analysis, possesses a great clinical potential for treatment planning and prognosis.
To address the lack of available software for computing the tumor heterogeneity on the public domain, we develop a software package, namely, Chang-Gung Image Texture Analysis (CGITA) toolbox, and provide it to the research community as a free, open-source project.
Methods.
With a user-friendly graphical interface, CGITA provides users with an easy way to compute more than seventy heterogeneity indices.
To test and demonstrate the usefulness of CGITA, we used a small cohort of eighteen locally advanced oral cavity (ORC) cancer patients treated with definitive radiotherapies.
Results.
In our case study of ORC data, we found that more than ten of the current implemented heterogeneity indices outperformed SUVmean for outcome prediction in the ROC analysis with a higher area under curve (AUC).
Heterogeneity indices provide a better area under the curve up to 0.9 than the SUVmean and TLG (0.6 and 0.52, resp.).
Conclusions.
CGITA is a free and open-source software package to quantify tumor heterogeneity from molecular images.
CGITA is available for free for academic use at http://code.google.com/p/cgita.
American Psychological Association (APA)
Fang, Yu-Hua Dean& Lin, Chien-Yu& Shih, Meng-Jung& Wang, Hung-Ming& Ho, Tsung-Ying& Liao, Chun-Ta…[et al.]. 2014. Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-457205
Modern Language Association (MLA)
Fang, Yu-Hua Dean…[et al.]. Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-457205
American Medical Association (AMA)
Fang, Yu-Hua Dean& Lin, Chien-Yu& Shih, Meng-Jung& Wang, Hung-Ming& Ho, Tsung-Ying& Liao, Chun-Ta…[et al.]. Development and Evaluation of an Open-Source Software Package “CGITA” for Quantifying Tumor Heterogeneity with Molecular Images. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-457205
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457205