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Quantitative Histogram Analysis of T2-Weighted and Diffusion-Weighted Magnetic Resonance Images for Prediction of Malignant Thymic Epithelial Tumors.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 2021 Sep-Oct 01; Vol. 45 (5), pp. 795-801. - Publication Year :
- 2021
-
Abstract
- 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).<br />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.<br />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.<br />Conclusion: The ADC-based histogram analysis could help to differentiate between high-risk and low-risk TETs.<br />Competing Interests: The authors declare no conflict of interest.<br /> (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Diagnosis, Differential
Diffusion Magnetic Resonance Imaging methods
Evaluation Studies as Topic
Female
Humans
Male
Middle Aged
Neoplasms, Glandular and Epithelial surgery
Predictive Value of Tests
Retrospective Studies
Thymus Gland diagnostic imaging
Thymus Gland surgery
Thymus Neoplasms surgery
Magnetic Resonance Imaging methods
Neoplasms, Glandular and Epithelial diagnostic imaging
Thymus Neoplasms diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 1532-3145
- Volume :
- 45
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 34347704
- Full Text :
- https://doi.org/10.1097/RCT.0000000000001197