Value of Computerized 3D Shape Analysis in Differentiating Encapsulated from Invasive Thymomas |
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| Authors: | Jong Hyuk Lee Chang Min Park Sang Joon Park Jae Seok Bae Sang Min Lee Jin Mo Goo |
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| Institution: | 1Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea;2Cancer Research Institute, Seoul National University, Seoul, Korea;University of Groningen, University Medical Center Groningen, NETHERLANDS |
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| Abstract: | ObjectivesTo retrospectively investigate the added value of quantitative 3D shape analysis in differentiating encapsulated from invasive thymomas.ResultsSignificant differences were observed between encapsulated and invasive thymomas, in terms of cystic changes (p=0.004), sphericity (p=0.016), and discrete compactness (p=0.001). Subsequent binary logistic regression analysis revealed that absence of cystic change (adjusted odds ratio (OR) = 6.636; p=0.015) and higher discrete compactness (OR = 77.775; p=0.012) were significant differentiators of encapsulated from invasive thymomas. ROC analyses revealed that the addition of 3D shape analysis to clinical and CT features (AUC, 0.955; 95% CI, 0.935–0.975) provided significantly higher performance in differentiating encapsulated from invasive thymomas than clinical and CT features (AUC, 0.666; 95% CI, 0.626–0.707) (p<0.001).ConclusionAddition of 3D shape analysis, particularly discrete compactness, can improve differentiation of encapsulated thymomas from invasive thymomas. |
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