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Development and Evaluation of an Open-Source Software Package 'CGITA' for Quantifying Tumor Heterogeneity with Molecular Images
- Source :
- BioMed Research International, BioMed Research International, Vol 2014 (2014)
- Publication Year :
- 2014
- Publisher :
- Hindawi Publishing Corporation, 2014.
-
Abstract
- 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 SUVmeanfor 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 SUVmeanand 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 athttp://code.google.com/p/cgita.
- Subjects :
- Adult
Male
Article Subject
Computer science
lcsh:Medicine
Bioinformatics
computer.software_genre
Sensitivity and Specificity
General Biochemistry, Genetics and Molecular Biology
Pattern Recognition, Automated
User-Computer Interface
Software
Image texture
Software Design
Image Interpretation, Computer-Assisted
Humans
Radiation treatment planning
Graphical user interface
Mouth neoplasm
Internet
General Immunology and Microbiology
business.industry
lcsh:R
Reproducibility of Results
General Medicine
Middle Aged
Toolbox
Molecular Imaging
Positron-Emission Tomography
Pattern recognition (psychology)
Software design
Female
Mouth Neoplasms
Data mining
business
computer
Algorithms
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 23146141 and 23146133
- Volume :
- 2014
- Database :
- OpenAIRE
- Journal :
- BioMed Research International
- Accession number :
- edsair.doi.dedup.....f6c22948f6149cef5520f8e439e1400d