| Literature DB >> 31161444 |
Maximilian Timme1, Christian Thomas2, Dorothee Cäcilia Spille3, Walter Stummer3, Heinrich Ebel4, Christian Ewelt4, Franz-Josef Hans5, Uta Schick6, Maximilian Puchner7, Uwe Wildförster8, Bernhard Bruns9, Hans Axel Trost10, Markus Holling3, Oliver Grauer11, Katharina Hess2, Benjamin Brokinkel12.
Abstract
Brain invasion (BI) is a new criterion for atypia in meningiomas and therefore potentially impacts adjuvant treatment. However, it remains unclear whether surgical practice and specimen characteristics influence histopathological analyses and the accuracy of detecting BI. Tumor location, specimen characteristics, and rates of BI were compared in meningioma samples obtained from 2938 surgeries in different neurosurgical departments but diagnosed in a single neuropathological institute. Non-skull base tumor location was associated with CNS tissue on the microscopic slides (OR 1.45; p < .001), increasing specimen weight (OR 1.01; p < .001), and remaining tissue not subjected to neuropathological analyses (OR 2.18; p < .001) but not with BI (OR 1.29; p = .199). Specimen weight, rates of residual tissue not subjected to histopathological analyses, of BI and of brain tissue, on the microscopic slides differed among the neurosurgical centers (p < .001, each). Frequency of BI was increased in one department (OR 2.07; p = .002) and tended to be lower in another (OR .61; p = .088). The same centers displayed the highest and lowest rates of brain tissue in the specimen, respectively (p < .001). Moreover, the correlation of BI with the neurosurgical center was not confirmed when only analyzing specimen with evidence of brain tissue in microscopic analyses (p = .223). Detection of BI was not correlated with the intraoperative use of CUSA in subgroup analyses. Rates of brain invasion in neuropathological analyses are not associated with tumor location but differ among some neurosurgical centers. Evidence raises that surgical nuances impact specimen characteristics and therefore the accuracy of the detection of BI.Entities:
Keywords: Brain invasion; Meningioma; Microsurgery; Neuropathology; WHO grade
Year: 2019 PMID: 31161444 DOI: 10.1007/s10143-019-01125-0
Source DB: PubMed Journal: Neurosurg Rev ISSN: 0344-5607 Impact factor: 3.042