ArticleAJNR. American journal of neuroradiology2012
Differentiation of tumefactive demyelinating lesions from high-grade gliomas with the use of diffusion tensor imaging.
Article in AJNR. American journal of neuroradiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- MRI Findings in Tumefactive Demyelinating Lesions: A Systematic Review and Meta-Analysis.AJNR. American journal of neuroradiology · 2018Pooled it
- Tumefactive demyelinating disorders as neoplasm mimics: description of a typical case and literature review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges.Proceedings of machine learning research · 2024Article
- Article
- MRI-Based Machine Learning Fusion Models to Distinguish Encephalitis and Gliomas.Journal of imaging informatics in medicine · 2024Article
- Tumor-like Lesions in Primary Angiitis of the Central Nervous System: The Role of Magnetic Resonance Imaging in Differential Diagnosis.Diagnostics (Basel, Switzerland) · 2024Review
- Tumefactive multiple sclerosis versus high grade glioma: A diagnostic dilemma.Surgical neurology international · 2022Article
- Differential imaging of atypical demyelinating lesions of the central nervous system.La Radiologia medica · 2021Review
- Tumefactive multiple sclerosis versus high-grade glioma: A diagnostic dilemma.Surgical neurology international · 2021Article
- Demyelinating lesions behaving like aggressive tumours on advanced MRI techniques.The neuroradiology journal · 2019Article
- Combining Diffusion Tensor Metrics and DSC Perfusion Imaging: Can It Improve the Diagnostic Accuracy in Differentiating Tumefactive Demyelination from High-Grade Glioma?AJNR. American journal of neuroradiology · 2017Article
- Diagnostic utility of diffusion tensor imaging in differentiating glioblastomas from brain metastases.AJNR. American journal of neuroradiology · 2014Article
- Assessment of angiographic vascularity of meningiomas with dynamic susceptibility contrast-enhanced perfusion-weighted imaging and diffusion tensor imaging.AJNR. American journal of neuroradiology · 2014Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeTDLs may be indistinguishable from high-grade gliomas on conventional MR imaging. The role of DTI in differentiating TDLs from high-grade gliomas is not clear, and quantitative comparison between the 2 has not been reported. Here we aimed to differentiate TDLs from high-grade gliomas by using DTI. MATERIALS AND
methodsDTI was performed in 8 TDLs and 13 high-grade gliomas. The presence of 3 findings (ie, intralesional hyperintensities on the FA map, restricted diffusion in the lesion periphery, and a perilesional hyperintense FA rim) was assessed by visual inspection. The FA and MD values were measured in the central nonenhancing portion, peripheral enhancing portion, and perilesional edema for each lesion and compared between the 2 groups respectively.
resultsTDLs had a significantly higher incidence of intralesional hyperintensities on FA maps (P = .049) but a lower incidence of a perilesional hyperintense FA rim (P < .001), compared with those of high-grade gliomas on visual inspection. TDLs had significantly higher FA (P = .004) and lower MD (P = .001) values in the peripheral enhancing portions of the lesions compared with those of high-grade gliomas. In perilesional edema, FA values were significantly higher in high-grade gliomas (P = .001).
conclusionsDTI is helpful in differentiating TDLs from high-grade gliomas by using visual inspection and quantitative analysis.
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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.