Quantitative 3D Shape Analysis of CT Images of Thymoma: A Comparison With Histological Types
| Autor: | Hiroyuki Ishikawa, Hajime Umezu, Hidefumi Aoyama, Kanako Oyanagi, Norihiko Yoshimura, Motohiko Yamazaki, Takuya Yagi |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Thymoma Enhancement pattern Sensitivity and Specificity 030218 nuclear medicine & medical imaging Sphericity 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine hemic and lymphatic diseases medicine Humans Radiology Nuclear Medicine and imaging Retrospective Studies Reproducibility business.industry Surface smoothness Thymus Neoplasms General Medicine Middle Aged medicine.disease Concordance correlation coefficient Homogeneous 030220 oncology & carcinogenesis Radiographic Image Interpretation Computer-Assisted Female Tomography X-Ray Computed Nuclear medicine business Shape analysis (digital geometry) |
| Zdroj: | American Journal of Roentgenology. 214:341-347 |
| ISSN: | 1546-3141 0361-803X |
| Popis: | OBJECTIVE. The purpose of this study is to differentiate between low- and high-risk types of thymoma using quantitative 3D shape analysis of CT images. MATERIALS AND METHODS. This retrospective study included 44 patients with a pathologic diagnosis of thymoma. Two radiologists semiautomatically contoured CT images of the tumors and evaluated 3D shape parameters-namely, quantitative indicators of surface smoothness, including sphericity, ellipsoidality, and discrete compactness. The visual CT findings that were analyzed included longest diameter, shape (round-oval, lobulated, or irregular), calcification, cystic or necrotic changes, and enhancement pattern (homogeneous or heterogeneous). The difference and discriminating performance between low-risk (types A, AB, and B1) and high-risk (types B2 and B3) thymomas were statistically assessed. Interobserver agreement was determined using the concordance correlation coefficient. RESULTS. Twenty-three low-risk and 21 high-risk thymomas were identified on the basis of pathologic findings. The median values of sphericity and ellipsoidality were significantly higher for low-risk thymomas than for high-risk thymomas (for sphericity, 0.566 vs 0.517; for ellipsoidality, 0.941 vs 0.875; p 0.90). The visual CT findings were not significantly different between low- and high-risk thymomas (p > 0.05 for all). CONCLUSION. Quantitative 3D shape analysis has excellent reproducibility, and combining this technique with information on the detection mode helps differentiate low- from high-risk thymomas. |
| Databáze: | OpenAIRE |
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