ArticleAJNR. American journal of neuroradiology2020
MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas.
Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Ultrastructural pathological features and clinical significance of recurrent chordoma.Journal of bone oncology · 2026Article
- From Histology to Multi-Omics: Review of Chordoma Classification and Its Clinical Implications.Cells · 2026Review
- CT perfusion-focused preoperative assessment of the blood-supplying state among imaging modalities in skull base chordoma: a retrospective single-center cohort.Journal of neuro-oncology · 2026Article
- Case Report: Characteristic findings of jugular foramen chordoma on long echo-time fat-suppressed T2-weighted imaging.Frontiers in oncology · 2026Article
- Predicting overall survival in chordoma patients using machine learning models: a web-app application.Journal of orthopaedic surgery and research · 2023Article
- Differentiation Between Primary Central Nervous System Lymphoma and Atypical Glioblastoma Based on MRI Morphological Feature and Signal Intensity Ratio: A Retrospective Multicenter Study.Frontiers in oncology · 2022Article
- Radiomics and Dosiomics for Predicting Local Control after Carbon-Ion Radiotherapy in Skull-Base Chordoma.Cancers · 2021Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeMR imaging is a useful and widely used evaluation for chordomas. Prior studies have classified chordomas into cell-dense type and matrix-rich type according to the ultrastructural features. However, the relationship between the MR imaging signal intensity and ultrastructural classification is unknown. We hypothesized that MR imaging signal intensity may predict both tumor ultrastructural classification and prognosis. MATERIALS AND
methodsSeventy-nine patients with skull base chordomas who underwent 95 operations were included in this retrospective single-center series. Preoperative tumor-to-pons MR imaging signal intensity ratios were calculated and designated as ratio on T1 FLAIR sequence (R
resultsCompared with the matrix-rich type group, the cell-dense type chordomas showed lower R
conclusionsThe difference in MR imaging signal intensity in chordomas can be explained by electron microscopic features. Both signal intensity ratios and electron microscopic features may be prognostic factors.
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