title: Texture Analysis and Synthesis of Malignant and Benign Mediastinal Lymph Nodes in Patients with Lung Cancer on Computed Tomography.
abstract: Texture analysis of computed tomography (CT) imaging has been found useful to distinguish subtle differences, which are in- visible to human eyes, between malignant and benign tissues in cancer patients. This study implemented two complementary methods of texture analysis, known as the gray-level co-occurrence matrix (GLCM) and the experimental semivariogram (SV) with an aim to improve the predictive value of evaluating mediastinal lymph nodes in lung cancer. The GLCM was explored with the use of a rich set of its derived features, whereas the SV feature was extracted on real and synthesized CT samples of benign and malignant lymph nodes. A distinct advantage of the computer methodology presented herein is the alleviation of the need for an automated precise segmentation of the lymph nodes. Using the logistic regression model, a sensitivity of 75%, specificity of 90%, and area under curve of 0.89 were obtained in the test population. A tenfold cross-validation of 70% accuracy of classifying between benign and malignant lymph nodes was obtained using the support vector machines as a pattern classifier. These results are higher than those recently reported in literature with similar studies.
authors.affiliation: Linkoping University, Department of Biomedical Engineering, Linkoping, 58183, Sweden.
authors.forename: Tuan D
authors.initials: TD
authors.lastname: Pham
authors.affiliation: Fukushima Medical University, Department of Regenerative Surgery, Fukushima City, 960-1295, Japan.
authors.forename: Yuzuru
authors.initials: Y
authors.lastname: Watanabe
authors.affiliation: Fukushima Medical University, Department of Chest Surgery, Fukushima City, 960-1295, Japan.
authors.forename: Mitsunori
authors.initials: M
authors.lastname: Higuchi
authors.affiliation: Fukushima Medical University, Department of Regenerative Surgery, Fukushima City, 960-1295, Japan.
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Suzuki
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008198:Lymph Nodes / Q000000981:diagnostic imaging* / Q000473:pathology*; D008297:Male; D008482:Mediastinum / Q000000981:diagnostic imaging*; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed