ArticleEuropean radiology2019
Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters.
Article in European 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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13 citing papers in PubMed.
- Article
- Grading of clear cell renal cell carcinoma using diffusion MRI with a multimodal apparent diffusion model.Frontiers in oncology · 2025Article
- Differentiating low-risk thymomas from high-risk thymomas: preoperative radiomics nomogram based on contrast enhanced CT to minimize unnecessary invasive thoracotomy.BMC medical imaging · 2024Article
- Utility of non-contrast-enhanced magnetic resonance imaging in predicting preoperative clinical stage and prognosis in patients with thymic epithelial tumor.Japanese journal of radiology · 2023Article
- Reduced field-of-view DWI‑derived clinical-radiomics model for the prediction of stage in cervical cancer.Insights into imaging · 2023Article
- Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
- Using CT to evaluate mediastinal great vein invasion by thymic epithelial tumors: measurement of the interface between the tumor and neighboring structures.European radiology · 2022Article
- Differentiating thymoma, thymic carcinoma and lymphoma based on collagen fibre patterns with T2- and diffusion-weighted magnetic resonance imaging.European radiology · 2022Article
- Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes.Frontiers in oncology · 2021Article
- MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.European radiology · 2021Article
- Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging.European radiology · 2021Article
- Conventional MR and DW imaging findings of cerebellar primary CNS lymphoma: comparison with high-grade glioma.Scientific reports · 2020Article
- The impact of radiomics in predicting oncologic behavior of thymic epithelial tumors.Mediastinum (Hong Kong, China) · 2019Article
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Abstract
objectivesTo explore the value of combining apparent diffusion coefficients (ADC) and texture parameters from diffusion-weighted imaging (DWI) in predicting the pathological subtypes and stages of thymic epithelial tumors (TETs).
methodsFifty-seven patients with TETs confirmed by pathological analysis were retrospectively enrolled. ADC values and optimal texture feature parameters were compared for differences among low-risk thymoma (LRT), high-risk thymoma (HRT), and thymic carcinoma (TC) by one-way ANOVA, and between early and advanced stages of TETs were tested using the independent samples t test. Receiver operating characteristic (ROC) curve analysis was performed to determine the differentiating efficacy.
resultsThe ADC values in LRT and HRT were significantly higher than the values in TC (p = 0.004 and 0.001, respectively), also in early stage, values were significantly higher than ones in advanced stage of TETs (p < 0.001). Among all texture parameters analyzed in order to differentiate LRT from HRT and TC, the V
conclusionsCombination of ADC and DWI texture parameters improved the differentiating ability of TET grades, which could potentially be useful in clinical practice regarding the TET evaluation before treatment. KEY POINTS: • DWI texture analysis is useful in differentiating TET subtypes and stages. • Combination of ADC and DWI texture parameters may improve the differentiating ability of TET grades. • DWI texture analysis could potentially be useful in clinical practice regarding the TET evaluation before treatment.
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