ArticleAJNR. American journal of neuroradiology2012
Differentiation between brain glioblastoma multiforme and solitary metastasis: qualitative and quantitative analysis based on routine MR 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 20 papers.
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Who cites it
20 citing papers in PubMed, 42 citations in OpenAlex.
- Health system learning enables generalist neuroimaging models.Nature medicine · 2026Article
- Health system learning achieves generalist neuroimaging models.Research square · 2025Article
- Differentiation of multiple brain metastases and glioblastoma with multiple foci using MRI criteria.BMC medical imaging · 2024Article
- The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases.Journal of personalized medicine · 2022Article
- Differentiating solitary brain metastases from high-grade gliomas with MR: comparing qualitative versus quantitative diagnostic strategies.La Radiologia medica · 2022Article
- The Role of 3D-pCASL MRI in the Differential Diagnosis of Glioblastoma and Brain Metastases.Frontiers in oncology · 2022Article
- Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images.AJNR. American journal of neuroradiology · 2021Article
- Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma.Frontiers in oncology · 2021Article
- Differentiation Between Glioblastoma Multiforme and Metastasis From the Lungs and Other Sites Using Combined Clinical/Routine MRI Radiomics.Frontiers in cell and developmental biology · 2021Article
- Advanced Magnetic Resonance Imaging in Pediatric Glioblastomas.Frontiers in neurology · 2021Review
- Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.Journal of magnetic resonance imaging : JMRI · 2020Review
- Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region-derived radiomic features and multiple classifiers.European radiology · 2020Article
- Improved Treatment Efficacy of Antiangiogenic Therapy when Combined with Picornavirus Vaccination in the GL261 Glioma Model.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2016Article
- Article
- Visualization of the medial forebrain bundle using diffusion tensor imaging.Frontiers in neuroanatomy · 2015Article
- Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes.BMC medical imaging · 2014Article
- Diagnostic utility of diffusion tensor imaging in differentiating glioblastomas from brain metastases.AJNR. American journal of neuroradiology · 2014Article
- Article
- Imaging of brain metastases.Surgical neurology international · 2013Article
- Radiogenomic Analysis of Vascular Endothelial Growth Factor in Patients With Glioblastoma.Journal of computer assisted tomographyArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeThe differentiation between cerebral GBM and solitary MET is clinically important and may be radiologically challenging. Our hypothesis is that routine MR imaging with qualitative and quantitative analysis is helpful for this differentiation. MATERIALS AND
methodsForty-five GBM and 21 solitary metastases were retrospectively identified, with their preoperative routine MR imaging analyzed. According to the comparison of the area of peritumoral T2 prolongation with that of the lesion, the tumors were classified into grade I (prolongation area ≤ tumor area) and grade II (prolongation area > tumor area). The signal intensities of peritumoral T2 prolongation were measured on T2WI and normalized to the values of the contralateral normal regions by calculating the ratios. The ratio (nSI) of both types of tumors was compared in grade I, grade II, and in tumors without grading. The best cutoff values to optimize the sensitivity and specificity were determined for optimal differentiation.
resultsThe nSI of GBM was significantly higher than that of MET without T2 prolongation grading (P < .001), resulting in AUC = 0.725. The difference was significant (P = .014) in grade I tumors (GBM, 38; MET, 9), with AUC = 0.741, and in grade II tumors (GBM, 7; MET, 12), with AUC = 0.869 (P = .017). Both types of tumors showed a different propensity in T2 prolongation grading (χ(2) = 12.079, P = .001).
conclusionsCombined with qualitative and quantitative analysis of peritumoral T2 prolongation, routine MR imaging can help in the differentiation between brain GBM and solitary MET.
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