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The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from (18)F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer
- Source :
- European journal of radiology. 84(2)
- Publication Year :
- 2014
-
Abstract
- Objectives In clinical practice, image analysis is dependent on simply visual perception and the diagnostic efficacy of this analysis pattern is limited for mediastinal lymph nodes in patients with lung cancer. In order to improve diagnostic efficacy, we developed a new computer-based algorithm and tested its diagnostic efficacy. Methods 132 consecutive patients with lung cancer underwent 18 F-FDG PET/CT examination before treatment. After all data were imported into the database of an on-line medical image analysis platform, the diagnostic efficacy of visual analysis was first evaluated without knowing pathological results, and the maximum short diameter and maximum standardized uptake value (SUV max ) were measured. Then lymph nodes were segmented manually. Three classifiers based on support vector machine (SVM) were constructed from CT, PET, and combined PET-CT images, respectively. The diagnostic efficacy of SVM classifiers was obtained and evaluated. Results According to ROC curves, the areas under curves for maximum short diameter and SUV max were 0.684 and 0.652, respectively. The areas under the ROC curve for SVM1, SVM2, and SVM3 were 0.689, 0.579, and 0.685, respectively. Conclusion The algorithm based on SVM was potential in the diagnosis of mediastinal lymph nodes.
- Subjects :
- Male
medicine.medical_specialty
Lung Neoplasms
Support Vector Machine
Image processing
Standardized uptake value
Fluorodeoxyglucose F18
Histogram
medicine
Humans
Radiology, Nuclear Medicine and imaging
Lung cancer
Aged
Retrospective Studies
Aged, 80 and over
PET-CT
Receiver operating characteristic
medicine.diagnostic_test
business.industry
General Medicine
Middle Aged
medicine.disease
Support vector machine
ROC Curve
Lymphatic Metastasis
Positron-Emission Tomography
Female
Radiology
Lymph Nodes
Radiopharmaceuticals
business
Tomography, X-Ray Computed
Emission computed tomography
Algorithms
Subjects
Details
- ISSN :
- 18727727
- Volume :
- 84
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- European journal of radiology
- Accession number :
- edsair.doi.dedup.....6b00eb8b8d2bcecb8e6de0a2b8c1f8b8