Literature DB >> 31161444

Brain invasion in meningiomas: does surgical sampling impact specimen characteristics and histology?

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


  13 in total

1.  Brain invasion and the risk of seizures in patients with meningioma.

Authors:  Katharina Hess; Dorothee Cäcilia Spille; Alborz Adeli; Peter B Sporns; Caroline Brokinkel; Oliver Grauer; Christian Mawrin; Walter Stummer; Werner Paulus; Benjamin Brokinkel
Journal:  J Neurosurg       Date:  2018-04-27       Impact factor: 5.115

2.  Brain Invasion in Meningiomas: The Rising Importance of a Uniform Neuropathologic Assessment After the Release of the 2016 World Health Organization Classification of Central Nervous System Tumors.

Authors:  Benjamin Brokinkel; Walter Stummer
Journal:  World Neurosurg       Date:  2016-11       Impact factor: 2.104

3.  Letter to the Editor. Brain invasion and the risk for postoperative hemorrhage and neurological deterioration after meningioma surgery.

Authors:  Benjamin Brokinkel; Johanna Sicking; Dorothee Cäcilia Spille; Katharina Hess; Werner Paulus; Walter Stummer
Journal:  J Neurosurg       Date:  2018-08-10       Impact factor: 5.115

4.  The Simpson grading in meningioma surgery: does the tumor location influence the prognostic value?

Authors:  Kira Marie Voß; Dorothee Cäcilia Spille; Cristina Sauerland; Eric Suero Molina; Caroline Brokinkel; Werner Paulus; Walter Stummer; Markus Holling; Astrid Jeibmann; Benjamin Brokinkel
Journal:  J Neurooncol       Date:  2017-05-19       Impact factor: 4.130

5.  Mitotic count, brain invasion, and location are independent predictors of recurrence-free survival in primary atypical and malignant meningiomas: a study of 86 patients.

Authors:  Andrej Vranic; Mara Popovic; Andrej Cör; Borut Prestor; Joze Pizem
Journal:  Neurosurgery       Date:  2010-10       Impact factor: 4.654

6.  Predicting the probability of meningioma recurrence based on the quantity of peritumoral brain edema on computerized tomography scanning.

Authors:  R E Mantle; B Lach; M R Delgado; S Baeesa; G Bélanger
Journal:  J Neurosurg       Date:  1999-09       Impact factor: 5.115

Review 7.  Brain invasion in meningiomas-clinical considerations and impact of neuropathological evaluation: a systematic review.

Authors:  Benjamin Brokinkel; Katharina Hess; Christian Mawrin
Journal:  Neuro Oncol       Date:  2017-10-01       Impact factor: 12.300

Review 8.  Malignant potential of skull base versus non-skull base meningiomas: clinical series of 1,663 cases.

Authors:  Jan Frederick Cornelius; Philipp Jörg Slotty; Hans Jakob Steiger; Daniel Hänggi; Marc Polivka; Bernard George
Journal:  Acta Neurochir (Wien)       Date:  2013-01-15       Impact factor: 2.216

9.  Brain Invasion in Meningiomas: Incidence and Correlations with Clinical Variables and Prognosis.

Authors:  Dorothee Cäcilia Spille; Katharina Heß; Cristina Sauerland; Nader Sanai; Walter Stummer; Werner Paulus; Benjamin Brokinkel
Journal:  World Neurosurg       Date:  2016-06-22       Impact factor: 2.104

10.  Atypical meningioma-is it time to standardize surgical sampling techniques?

Authors:  Michael D Jenkinson; Thomas Santarius; Gelareh Zadeh; Kenneth D Aldape
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

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  5 in total

Review 1.  Prognostic significance of brain invasion in meningiomas: systematic review and meta-analysis.

Authors:  Satoshi Nakasu; Yoko Nakasu
Journal:  Brain Tumor Pathol       Date:  2021-01-06       Impact factor: 3.298

2.  Clinical and pathological impact of an optimal assessment of brain invasion for grade 2 meningioma diagnosis: lessons from a series of 291 cases.

Authors:  Thiébaud Picart; Chloé Dumot; Jacques Guyotat; Vladislav Pavlov; Nathalie Streichenberger; Alexandre Vasiljevic; Tanguy Fenouil; Anne Durand; Emmanuel Jouanneau; François Ducray; Timothée Jacquesson; Moncef Berhouma; David Meyronet
Journal:  Neurosurg Rev       Date:  2022-04-29       Impact factor: 2.800

3.  Microscopic brain invasion in meningiomas previously classified as WHO grade I is not associated with patient outcome.

Authors:  Annamaria Biczok; Christine Jungk; Rupert Egensperger; Andreas von Deimling; Bogdana Suchorska; Joerg C Tonn; Christel Herold-Mende; Christian Schichor
Journal:  J Neurooncol       Date:  2019-11-11       Impact factor: 4.130

4.  Diagnosis of Invasive Meningioma Based on Brain-Tumor Interface Radiomics Features on Brain MR Images: A Multicenter Study.

Authors:  Dongdong Xiao; Zhen Zhao; Jun Liu; Xuan Wang; Peng Fu; Jehane Michael Le Grange; Jihua Wang; Xuebing Guo; Hongyang Zhao; Jiawei Shi; Pengfei Yan; Xiaobing Jiang
Journal:  Front Oncol       Date:  2021-08-20       Impact factor: 6.244

Review 5.  Updated Systematic Review on the Role of Brain Invasion in Intracranial Meningiomas: What, When, Why?

Authors:  Lara Brunasso; Lapo Bonosi; Roberta Costanzo; Felice Buscemi; Giuseppe Roberto Giammalva; Gianluca Ferini; Vito Valenti; Anna Viola; Giuseppe Emmanuele Umana; Rosa Maria Gerardi; Carmelo Lucio Sturiale; Alessio Albanese; Domenico Gerardo Iacopino; Rosario Maugeri
Journal:  Cancers (Basel)       Date:  2022-08-27       Impact factor: 6.575

  5 in total

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