ArticleKorean journal of radiology2019
Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography.
Article in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Prediction of pathological risk subtypes of thymic anterior mediastinal cysts and thymic epithelial tumors based on CT radiomics and deep learning methods: a retrospective study.European journal of medical research · 2025Article
- Article
- Distinguishing thymic cysts from low-risk thymomas via [EJNMMI research · 2024Article
- Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes.Japanese journal of radiology · 2024Article
- Differentiating thymic epithelial tumors from mediastinal lymphomas: preoperative nomograms based on PET/CT radiomic features to minimize unnecessary anterior mediastinal surgery.Journal of cancer research and clinical oncology · 2023Article
- MRI-Based Stepwise Approach to Anterior Mediastinal Cystic Lesions for Diagnosis and Further Management.Korean journal of radiology · 2023Review
- How can the rate of nontherapeutic thymectomy be reduced?Interactive cardiovascular and thoracic surgery · 2022Article
- Surgical indications for mediastinal cysts-a narrative review.Mediastinum (Hong Kong, China) · 2022Review
- CT and MRI findings of cystic renal cell carcinoma: comparison with cystic collecting duct carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
- Pictorial Review of Mediastinal Masses with an Emphasis on Magnetic Resonance Imaging.Korean journal of radiology · 2021Review
- CT-Based Radiomics Nomogram for Differentiation of Anterior Mediastinal Thymic Cyst From Thymic Epithelial Tumor.Frontiers in oncology · 2021Article
- Clinical Experience with Thymic Cystectomy: A Single-Institution Study of 117 Cases from 2013 to 2019.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Predicting the Risk of Thymic Tumors Using Texture Analysis of Contrast-Enhanced Chest Computed Tomography.Journal of computer assisted tomographyArticle
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate whether computed tomography (CT) and fluorine-18-labeled fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) may be applied to distinguish thymic epithelial tumors (TETs) from benign cysts in the anterior mediastinum. MATERIALS AND
methodsWe included 262 consecutive patients with pathologically proven TETs and benign cysts 5 cm or smaller who underwent preoperative CT scans. In addition to conventional morphological and ancillary CT findings, the relationship between the lesion and the adjacent mediastinal pleura was evaluated qualitatively and quantitatively. Mean lesion attenuation was measured on CT images. The maximum standardized uptake value (SUVmax) was obtained with FDG-PET scans in 40 patients. CT predictors for TETs were identified with multivariate logistic regression analysis. For validation, we assessed the diagnostic accuracy and inter-observer agreement between four radiologists in a size-matched set of 24 cysts and 24 TETs using a receiver operating characteristic curve before and after being informed of the study findings.
resultsThe multivariate analysis showed that post-contrast attenuation of 60 Hounsfield unit or higher (odds ratio [OR], 12.734; 95% confidence interval [CI], 2.506-64.705;
conclusionPost-contrast CT attenuation, protrusion from the mediastinal pleura, and SUVmax were useful imaging features for distinguishing TETs from cysts in the anterior mediastinum.
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