Trial reportEuropean radiology2010
Value of MR imaging in the differentiation of benign and malignant orbital tumors in adults.
Trial report in European radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 67 citations in OpenAlex.
- Bag-of-features-based radiomics for differentiation of ocular adnexal lymphoma and idiopathic orbital inflammation from contrast-enhanced MRI.European radiology · 2021Trial
- Deep learning-based intratumoral and peritumoral features for differentiating ocular adnexal lymphoma and idiopathic orbital inflammation.European radiology · 2025Article
- Diagnostic Performance of Dynamic Contrast-Enhanced 3T MR Imaging for Characterization of Orbital Lesions: Validation in a Large Prospective Study.AJNR. American journal of neuroradiology · 2024Article
- A signature of structural MRI features at 3 Tesla allows an accurate characterization of orbital cavernous venous malformation.European radiology · 2023Article
- End-to-End Deep-Learning-Based Diagnosis of Benign and Malignant Orbital Tumors on Computed Tomography Images.Journal of personalized medicine · 2023Article
- Clinical and imaging clues to the diagnosis and follow-up of ptosis and ophthalmoparesis.Journal of cachexia, sarcopenia and muscle · 2022Review
- Sinonasal lymphoma: A primer for otolaryngologists.Laryngoscope investigative otolaryngology · 2022Review
- A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.European radiology · 2022Article
- Imaging of head and neck mucosa-associated lymphoid tissue lymphoma (MALToma).Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Review
- Quantitative characterization of extraocular orbital lesions in children using diffusion-weighted imaging.Pediatric radiology · 2021Article
- MRI-Based Radiomics for Differentiating Orbital Cavernous Hemangioma and Orbital Schwannoma.Frontiers in medicine · 2021Article
- Intravoxel incoherent motion (IVIM) 3 T MRI for orbital lesion characterization.European radiology · 2021Article
- Value of quantitative multiparametric MRI in differentiating pleomorphic adenomas from malignant epithelial tumors in lacrimal gland.Neuroradiology · 2020Article
- Article
- Conventional, diffusion, and permeability MR findings in ocular medulloepithelioma.Neuroradiology · 2018Article
- MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.European radiology · 2018Article
- How accurate is the clinical and radiological evaluation of orbital lesions in comparison to surgical orbital biopsy?Eye (London, England) · 2018Article
- T1-weighted dynamic contrast-enhanced brain magnetic resonance imaging: A preliminary study with low infusion rate in pediatric patients.The neuroradiology journal · 2017Article
- Orbital malignant lesions in adults: multiparametric MR imaging.Japanese journal of radiology · 2017Article
- Improved performance in differentiating benign from malignant sinonasal tumors using diffusion-weighted combined with dynamic contrast-enhanced magnetic resonance imaging.Chinese medical journal · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo prospectively evaluate magnetic resonance (MR) imaging including dynamic contrast-enhanced MR imaging in the differentiation of benign from malignant orbital masses and to evaluate which MR imaging features are most predictive of malignant tumors. MATERIALS AND
methodsThe study was approved by the institutional review board and signed informed consent was obtained. Nonenhanced, static, and dynamic contrast-enhanced MR imaging was performed in 102 adult patients with an orbital mass. Diagnosis was based on histologic findings. MR imaging features of benign and malignant orbital lesions were evaluated correlated with histological findings. Multivariate logistic regression analysis was employed to identify the best combination of MR imaging features that might be predictive of malignancy.
resultsNonenhanced, static, and dynamic enhancement MR imaging was significantly superior to two other models in prediction of malignancy (p < 0.05). Multivariate logistic regression analysis identified that the most discriminating MR imaging features were isointense mass on T2-weighted imaging and a washout-type time-intensity curve for both observers.
conclusionNonenhanced, static, and dynamic enhancement MR imaging improved differentiation between benign and malignant orbital masses in adult patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.