Citation notice #10185 · 2026-08-14 18:18:49.509277+00:00
Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
cites The utility of diffusion MRI with quantitative ADC measurements for differentiating high -grade from low -grade cerebral gliomas: Evidence from a meta- analysis, which carries a correction notice dated 2017-01-26. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
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01Evidence
Raw extraction · bibliography line · bibliography index 9
Zhang L, Min Z, Tang M, Chen S, Lei X, Zhang X. The utility of diffusion MRI with quantitative ADC measurements for differentiating high -grade from low -grade cerebral gliomas: Evidence from a meta- analysis. Journal of the Neurological Sciences 201;373:9 -15. doi: 10.1016/j.jns.2016.12.008
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1016/j.jns.2016.12.008
- Notice DOI
- 10.1016/j.jns.2017.01.049
- Date
- 2017-01-26
- Title
- Corrigendum to “The utility of diffusion MRI with quantitative ADC measurements for differentiating high-grade from low-grade cerebral gliomas: Evidence from a meta-analysis” [J. Neurol. Sci. 373 (2017) 9–15]
- Reasons
- ['Erratum']
- Work
- The utility of diffusion MRI with quantitative ADC measurements for differentiating high -grade from low -grade cerebral gliomas: Evidence from a meta- analysis (?)
03Dispute this notice
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