====== Yinchuan ======
Department of Neurosurgery, Ningxia Medical University, Yinchuan, [[China]].
{{rss>https://pubmed.ncbi.nlm.nih.gov/rss/search/14spTIXMx9q6VxHo_jB1Qsph09EEwtNCY-UXYK9yIgqVuPtkXA/?limit=15&utm_campaign=pubmed-2&fc=20241126052126}}
A study aimed to evaluate the [[predictive value]] of metabolic parameters in preoperative non-enhancing [[peritumoral region]]s (NEPTRs) for [[glioblastoma recurrence]], using multivoxel hydrogen proton magnetic resonance spectroscopy ([[Proton magnetic resonance spectroscopic imaging]]). Clinical and imaging data from patients with [[recurrent glioblastoma]] were analyzed. Through co-registration of preoperative and post-recurrence MRI, they identified future tumor recurrence regions (FTRRs) and future non-tumor recurrence regions (FNTRRs) within the NEPTRs. Metabolic parameters were recorded separately for each region. [[Cox]] regression analysis was applied to assess the association between metabolic parameters and glioblastoma recurrence. Compared to FNTRRs, FTRRs exhibited a higher [[Cho]]/[[Cr]] ratio, higher Cho/[[NAA]] ratio, and lower NAA/Cr ratio. Both Cho/NAA and Cho/Cr ratios were recognized as risk factors in univariate and [[multivariate]] analyses (P < 0.05). The Cox regression model indicated that Cho/NAA > 1.99 and Cho/Cr > 1.73 are independent risk factors for early glioblastoma recurrence. Based on these cut-off values, patients were stratified into low-risk and high-risk groups, with a statistically significant difference in [[recurrence]] rates between the two groups (P < 0.01). The Cho/NAA and Cho/Cr ratios in NEPTRs are independent predictors of future glioblastoma recurrence. Specifically, Cho/NAA > 1.99 and/or Cho/Cr > 1.73 in NEPTRs may indicate a higher risk of early [[postoperative]] recurrence at these regions
((Lu W, Feng J, Zou Y, Liu Y, Gao P, Zhao Y, Wu X, Ma H. Proton magnetic resonance spectroscopic imaging parameters in non-enhancing peritumoral regions can predict the recurrence of glioblastoma. Sci Rep. 2024 Nov 26;14(1):29258. doi: 10.1038/s41598-024-80610-z. PMID: 39587278.)).
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