Quantitative Histogram Analysis of T2-Weighted and Diffusion-Weighted Magnetic Resonance Images for Prediction of Malignant Thymic Epithelial Tumors
| Autor: | Rui Kano, Hiroya Ojiri, Kazuhiko Morikawa, Hisatoshi Asano, Megumi Shiraishi, Shigeki Misumi, Takao Igarashi |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Thymoma medicine.medical_treatment Thymus Gland Diagnosis Differential stomatognathic system Predictive Value of Tests Histogram polycyclic compounds medicine Effective diffusion coefficient Humans Radiology Nuclear Medicine and imaging Neoplasms Glandular and Epithelial Thymic carcinoma Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry Area under the curve Magnetic resonance imaging Thymus Neoplasms biochemical phenomena metabolism and nutrition Middle Aged medicine.disease Magnetic Resonance Imaging body regions Thymectomy Diffusion Magnetic Resonance Imaging Evaluation Studies as Topic Mann–Whitney U test Female Nuclear medicine business |
| Zdroj: | Journal of computer assisted tomography. 45(5) |
| ISSN: | 1532-3145 |
| Popis: | Purpose To assess the value of histogram analysis for differentiating a high-risk thymic epithelial tumor (TET) from a low-risk TET using T2-weighted images and the apparent diffusion coefficient (ADC). Methods Forty-nine patients with histopathologically proven TET after thymectomy were enrolled in this study and retrospectively classified as having low-risk TET (low-risk thymoma) or high-risk TET (high-risk thymoma or thymic carcinoma). Twelve parameters were obtained from the quantitative histogram analysis. The histogram parameters were compared using the Mann-Whitney U test. Diagnostic efficacy was estimated by receiver-operating characteristic curve analysis. Results Twenty-five patients were classified as having low-risk TET and 24 as having high-risk TET. The mean ADC value showed diagnostic efficacy for differentiating high-risk TET from low-risk TET, with an area under the curve of 0.7, and was better than when using conventional methods alone. Conclusion The ADC-based histogram analysis could help to differentiate between high-risk and low-risk TETs. |
| Databáze: | OpenAIRE |
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