gms | German Medical Science

73. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC)
Joint Meeting mit der Griechischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

29.05. - 01.06.2022, Köln

New classification system for petroclival meningiomas based on 123 cases

Neues Klassifikationssystem für petroklivale Meningeome basierend auf 123 Fällen

Meeting Abstract

  • presenting/speaker Gabriele Schackert - Carl Gustav Carus Universitätsklinikum, TU Dresden, Klinik und Poliklinik für Neurochirurgie, Dresden, Deutschland
  • Miriam Lenk - Carl Gustav Carus Universitätsklinikum, TU Dresden, Klinik und Poliklinik für Neurochirurgie, Dresden, Deutschland
  • Matthias Kirsch - Asklepios Kliniken Schildautal, Klinik für Neurochirurgie, Seesen, Deutschland
  • Silke Hennig - Carl Gustav Carus Universitätsklinikum, TU Dresden, Klinik und Poliklinik für Neurochirurgie, Dresden, Deutschland
  • Dino Podlesek - Carl Gustav Carus Universitätsklinikum, TU Dresden, Klinik und Poliklinik für Neurochirurgie, Dresden, Deutschland
  • Sahr Sandi-Gahun - Carl Gustav Carus Universitätsklinikum, TU Dresden, Klinik und Poliklinik für Neurochirurgie, Dresden, Deutschland
  • Tareq Juratli - Carl Gustav Carus Universitätsklinikum, TU Dresden, Klinik und Poliklinik für Neurochirurgie, Dresden, Deutschland

Deutsche Gesellschaft für Neurochirurgie. 73. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Griechischen Gesellschaft für Neurochirurgie. Köln, 29.05.-01.06.2022. Düsseldorf: German Medical Science GMS Publishing House; 2022. DocV040

doi: 10.3205/22dgnc048, urn:nbn:de:0183-22dgnc0481

Veröffentlicht: 25. Mai 2022

© 2022 Schackert et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Objective: The goal of the retrospective study is the evaluation of risk factors for postoperative neurological deficits after petroclival meningioma (PCM) surgery with special focus on standard craniotomies.

Methods: One-hundred-twenty-three tumor surgeries were performed in 111 patients with primary and recurrent PCM using a retrosigmoid (n=104) or a subtemporal/ pterional (n=19) approach. The postoperative course was analysed according to a new 4-grade classification system, based on tumor specific features (consistency, surface, arachnoid cleavage, localization). Patient specific factors (age, gender) and tumor specific factors were evaluated with respect to pre- and postoperative cranial nerve (CN) deficits, gross total resection, morbidity and mortality.

Results: For the analysis of the extent of resection the data of the whole group was available. In type I tumor patients (n=56, soft tumor consistency, smooth surface, plane arachnoid cleavage, and unilateral localization), gross total resection (GTR) was achieved in 76.8%, whereas in type IV patients (n=17, firm tumor consistency, bilateral localization, with smooth or cauliflower surface, and w/ or w/o arachnoid cleavage) GTR was only possible in 35.3%. The difference in resectability between the type I group and all others (n=67) was significant (p=0.002). Influential features for resection were tumor consistency (p<0.001), size (p=0.009) and cavernous sinus infiltration (p<0.001). For the analysis of postoperative cranial nerve deficits, the data of 112 tumor surgeries in 101 patients were available (96 retrosigmoid and 16 subtemporal/ pterional approach). The best outcome was observed in type I tumor patients (n=54) with 11.1% new CN deficits in comparison to all others (n=58) with 36.2% (p=0.008). Factors associated with a better cranial nerve outcome were tumor consistency (p = 0.038) and tumor location (p = 0.016). The morbidity and mortality rates for the whole group were 15.3% and 1.8%, respectively.

Conclusion: Standard craniotomies as the retrosigmoid or subtemporal/pterional approaches are suitable in most of the PCM cases. Besides tumor location, the genuine tumor specific features determine the resectablility of the tumor and the outcome of the patients.