Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Risk factors associated with higher WHO grade in meningiomas: a multicentric study of 552 skull base meningiomas

M. May, V. Sedlak, L. Pecen, V. Priban, P. Buchvald, J. Fiedler, M. Vaverka, R. Lipina, S. Reguli, J. Malik, M. Cerny, D. Netuka, V. Benes

. 2025 ; 15 (1) : 3715. [pub] 20250129

Language English Country England, Great Britain

Document type Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't

Persistent link   https://www.medvik.cz/link/bmc25010166

Grant support
NW25J-08-00088 Agentura Pro Zdravotnický Výzkum České Republiky
NW25J-08-00088 Agentura Pro Zdravotnický Výzkum České Republiky
NW25J-08-00088 Agentura Pro Zdravotnický Výzkum České Republiky
NW25J-08-00088 Agentura Pro Zdravotnický Výzkum České Republiky
NW25J-08-00088 Agentura Pro Zdravotnický Výzkum České Republiky

The histological grade is crucial for therapeutic management, and its reliable preoperative detection can significantly influence treatment approach. Lacking established risk factors, this study identifies preoperative predictors of high-grade skull base meningiomas and discusses the implications of non-invasive detection. A multicentric study was conducted on 552 patients with skull base meningiomas who underwent primary surgical resection between 2014 and 2019. Data were gathered from clinical, surgical and pathology records and radiological diagnostics. The predictive factors of higher WHO grade were analysed in univariate analysis and multivariate stepwise selection logistic regression analysis. Histological analysis revealed 511 grade 1 (92.6%) and 41 grade 2 (7.4%) meningiomas. A prognostic model predicting the probability of WHO grade 2 skull base meningioma (AUC 0.79; SE 0.04; 95% Wald Confidence Limits (0.71; 0.86)) based on meningioma diameter, presence of an arachnoid plane and cranial nerve palsy was built. Accurate preoperative detection of WHO grade in skull base meningiomas is essential for effective treatment planning. Our logistic regression model, based on diameter, cranial nerve palsy, and arachnoid plane, is tailored for detecting WHO grade 2 skull base meningiomas, even in outpatient settings.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc25010166
003      
CZ-PrNML
005      
20250429135319.0
007      
ta
008      
250415s2025 enk f 000 0|eng||
009      
AR
024    7_
$a 10.1038/s41598-025-87882-z $2 doi
035    __
$a (PubMed)39880897
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a enk
100    1_
$a May, Michaela $u Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, U Vojenske nemocnice 1200, Prague, 169 02, Czech Republic $u First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic $1 https://orcid.org/0000000227096159
245    10
$a Risk factors associated with higher WHO grade in meningiomas: a multicentric study of 552 skull base meningiomas / $c M. May, V. Sedlak, L. Pecen, V. Priban, P. Buchvald, J. Fiedler, M. Vaverka, R. Lipina, S. Reguli, J. Malik, M. Cerny, D. Netuka, V. Benes
520    9_
$a The histological grade is crucial for therapeutic management, and its reliable preoperative detection can significantly influence treatment approach. Lacking established risk factors, this study identifies preoperative predictors of high-grade skull base meningiomas and discusses the implications of non-invasive detection. A multicentric study was conducted on 552 patients with skull base meningiomas who underwent primary surgical resection between 2014 and 2019. Data were gathered from clinical, surgical and pathology records and radiological diagnostics. The predictive factors of higher WHO grade were analysed in univariate analysis and multivariate stepwise selection logistic regression analysis. Histological analysis revealed 511 grade 1 (92.6%) and 41 grade 2 (7.4%) meningiomas. A prognostic model predicting the probability of WHO grade 2 skull base meningioma (AUC 0.79; SE 0.04; 95% Wald Confidence Limits (0.71; 0.86)) based on meningioma diameter, presence of an arachnoid plane and cranial nerve palsy was built. Accurate preoperative detection of WHO grade in skull base meningiomas is essential for effective treatment planning. Our logistic regression model, based on diameter, cranial nerve palsy, and arachnoid plane, is tailored for detecting WHO grade 2 skull base meningiomas, even in outpatient settings.
650    _2
$a lidé $7 D006801
650    12
$a meningeom $x patologie $x chirurgie $x diagnostické zobrazování $7 D008579
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé středního věku $7 D008875
650    _2
$a rizikové faktory $7 D012307
650    12
$a nádory baze lební $x patologie $x chirurgie $x diagnostické zobrazování $7 D019292
650    _2
$a senioři $7 D000368
650    12
$a stupeň nádoru $7 D060787
650    12
$a meningeální nádory $x patologie $x chirurgie $x diagnostické zobrazování $7 D008577
650    _2
$a dospělí $7 D000328
650    _2
$a senioři nad 80 let $7 D000369
650    _2
$a prognóza $7 D011379
650    _2
$a mladý dospělý $7 D055815
650    _2
$a retrospektivní studie $7 D012189
655    _2
$a časopisecké články $7 D016428
655    _2
$a multicentrická studie $7 D016448
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Sedlak, Vojtech $u Department of Radiodiagnostics, Military University Hospital, Prague, Czech Republic $1 https://orcid.org/0000000170319680
700    1_
$a Pecen, Ladislav $u Institute of Computer Science, The Czech Academy of Sciences, Prague, Czech Republic $1 https://orcid.org/0000000198273178
700    1_
$a Priban, Vladimir $u Department of Neurosurgery, Pilsen University Hospital, Pilsen, Czech Republic $1 https://orcid.org/0000000160519910 $7 mzk2006322943
700    1_
$a Buchvald, Pavel $u Department of Neurosurgery, Liberec Hospital, Liberec, Czech Republic $1 https://orcid.org/0000000170714381
700    1_
$a Fiedler, Jiri $u Department of Neurosurgery, Ceske Budejovice Hospital, Ceske Budejovice, Czech Republic $u Department of Neurosurgery, The University Hospital Brno, Brno, Czech Republic $1 https://orcid.org/0000000178866021 $7 xx0229100
700    1_
$a Vaverka, Miroslav $u Department of Neurosurgery, University Hospital Olomouc, Olomouc, Czech Republic
700    1_
$a Lipina, Radim $u Department of Neurosurgery, University Hospital Ostrava, Ostrava, Czech Republic $1 https://orcid.org/0000000283881311
700    1_
$a Reguli, Stefan $u Department of Neurosurgery, University Hospital Ostrava, Ostrava, Czech Republic $1 https://orcid.org/0000000238158247
700    1_
$a Malik, Jozef $u Department of Radiodiagnostics, Military University Hospital, Prague, Czech Republic $1 https://orcid.org/0000000207891016
700    1_
$a Cerny, Martin $u Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, U Vojenske nemocnice 1200, Prague, 169 02, Czech Republic $u First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic $1 https://orcid.org/0000000247442151
700    1_
$a Netuka, David $u Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, U Vojenske nemocnice 1200, Prague, 169 02, Czech Republic. david.netuka@uvn.cz $u First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic. david.netuka@uvn.cz $1 https://orcid.org/0000000186094789 $7 xx0061783
700    1_
$a Benes, Vladimir $u Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University and Military University Hospital, U Vojenske nemocnice 1200, Prague, 169 02, Czech Republic $u First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic $1 https://orcid.org/000000026889857X $7 jn20000400135
773    0_
$w MED00182195 $t Scientific reports $x 2045-2322 $g Roč. 15, č. 1 (2025), s. 3715
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39880897 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20250415 $b ABA008
991    __
$a 20250429135314 $b ABA008
999    __
$a ok $b bmc $g 2311509 $s 1247247
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2025 $b 15 $c 1 $d 3715 $e 20250129 $i 2045-2322 $m Scientific reports $n Sci Rep $x MED00182195
GRA    __
$a NW25J-08-00088 $p Agentura Pro Zdravotnický Výzkum České Republiky
GRA    __
$a NW25J-08-00088 $p Agentura Pro Zdravotnický Výzkum České Republiky
GRA    __
$a NW25J-08-00088 $p Agentura Pro Zdravotnický Výzkum České Republiky
GRA    __
$a NW25J-08-00088 $p Agentura Pro Zdravotnický Výzkum České Republiky
GRA    __
$a NW25J-08-00088 $p Agentura Pro Zdravotnický Výzkum České Republiky
LZP    __
$a Pubmed-20250415

Find record

Citation metrics

Archiving options