Quantitative analysis in peritumoral volumes of brain metastases treated with stereotactic radiotherapy

Kim, Min Soo; Park, Sung Ho; Park, Eun Suk; Park, Jun Bum; Kwon, Soon Chan; Lyo, In Uk; Sim, Hong Bo

doi:10.1016/j.neurad.2017.12.022

Cited by 3 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[4] Yet, metastases were transformed through the bloodstream to the brain parenchyma by extracerebral tumors. [5] Compression of the venous veins was attributed to peritumoral edema. Therefore, the peritumoral of the brain metastatic was presented as vasogenic edema and absence of tumor cells.…”

Section: Introductionmentioning

confidence: 99%

Based on arterial spin labeling helps to differentiate high-grade gliomas from brain solitary metastasis

Han

Feng

et al. 2019

Medicine

View full text Add to dashboard Cite

Background: We first introduced this meta-analysis was to assess the accuracy of arterial spin labeling (ASL) in the differentiating high-grade gliomas (HGG) from brain solitary metastases (BSM). Methods: The PubMed, Web of Knowledge, and Cochrane Libraries and China National Knowledge Infrastructure databases were searched up to August 31, 2018. The pooled weighted sensitivity and specificity, summary receiver operating characteristic curve (SROC), sensitivity analysis, and threshold effect analysis were performed on Stata version 12.0 and Meta-Disc version 1.4. Deeks’ funnel plot asymmetry test was performed to assess publication bias. Results: Of 5 eligible articles, of the 346 lesions from 346 patients, 274 were HGG, and 72 were BSM. The forest pooled sensitivity of 0.88 (95% confidence interval [CI]: 0.65, 0.96) and specificity of 0.85 (95% CI: 0.74, 0.92) of ASL were reported in this meta-analysis. The pooled area under the curve of SROC was 0.92 (95% CI: 0.89, 0.94). Sensitivity analysis demonstrated that the pooled estimates were reliable. No evident publication bias was obtained ( P = .38). Conclusion: The parameters derived from ASL with high accuracy in differentiating HGG from BSM. However, results must be interpreted with caution due to the small sample size considered. Large sample prospective studies were necessary to assess and confirm its clinical value.

show abstract

Section: Introductionmentioning

confidence: 99%