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Enregistrement W2551095427 · doi:10.1093/neuonc/now245

Atypical meningioma—is it time to standardize surgical sampling techniques?

2016· article· en· W2551095427 sur OpenAlexafffund
Michael D. Jenkinson, Thomas Santarius, Gelareh Zadeh, Kenneth Aldape

Notice bibliographique

RevueNeuro-Oncology · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueMeningioma and schwannoma management
Établissements canadiensUniversity of Toronto
Organismes subventionnairesUniversity of TorontoNational Institute for Health and Care Research
Mots-clésMeningiomaSampling (signal processing)MedicineComputer scienceMedical physicsRadiologyComputer vision

Résumé

récupéré en direct d'OpenAlex

The World Health Organization (WHO) Classification of Tumours of the Central Nervous System has recently been updated.1 While dramatic changes have been made to gliomas with the inclusion of molecular markers, a more subtle change has been made to meningiomas that may have implications for clinical trials. The brain tumor community is focusing collaborative research on grades II and III meningiomas through an international consortium (http://www.soc-neuro-onc.org/events/172/). There are several international clinical trials for atypical meningiomas, including ROAM/EORTC 1308,2 EORTC 1320 (https://clinicaltrials.gov/ct2/show/NCT02234050), RTOG 0593 (https://www.rtog.org/ClinicalTrials/ProtocolTable/StudyDetails.aspx?study=0539), and NRG-BN003 (personal communication, L. Rogers). Trial entry is contingent upon accurate histopathological diagnosis. The updated WHO classification includes an important change, namely that brain invasion in addition to mitotic count of 4–20 mitoses per 10 high power microscopic fields is now diagnostic for atypical meningioma. While the new WHO change is unlikely to lead to increased reporting, as previously observed,3 it has potential implications for neurosurgeons. The surgical technique for meningioma resection is internal tumor decompression or “piecemeal” resection, followed by microsurgical dissection of the tumor–brain interface. The process of tumor debulking leads to sample loss in the suction and only rarely can the neurosurgeon perform en bloc resection and provide the neuropathologist with the “perfect” specimen. The impact of surgical sampling on glioma grading is well recognized but perhaps underappreciated and little discussed in meningiomas.4 Although neuropathologists often work with limited surgical samples, the neurosurgeon should provide the best possible specimens for diagnosis and research. Accurate assessment of brain invasion is important for meningioma prognostication,5,6 and sampling limitations may miss a brain-invasive meningioma, leading to undergrading and a potentially different management course than the one most suitable, including participation in clinical trials. The updated WHO classification places an emphasis on accurate assessment of brain invasion. Meningiomas broadly fall into 2 categories: the minority that do not invade the pial surface and can be resected without disruption of the brain, and the majority where parenchymal disruption occurs during surgery.4 In the former, sampling of the resection cavity would not be appropriate; however, in the latter, the neurosurgeon may observe macroscopic brain invasion, and this raises an important question: “should sampling of the tumor–brain interface be made to specifically address the issue of microscopic brain invasion?” This would involve a paradigm shift in surgical practice, but one that should be considered. As a corollary, an absence of brain tissue in the surgical specimen precludes the possibility of neuropathological assessment of invasion and leads to a second question: “should pathologists report the presence/absence of brain tissue with which to assess invasion?” Previous studies have shown that extensive and systematic surgical sampling in combination with thorough histopathology assessment increases reporting of brain invasion.4 Here we propose a possible paradigm. Neurosurgeon’s role: Label samples known or likely to contain brain tissue as “tumor–brain interface.” Neuropathologist’ role: Inspect highlighted samples for the presence of brain tissue. Based on the above, the following statements can be made: Brain invasion present Brain invasion absent A more pertinent question is whether the time is ripe to move away from histopathology definitions and rely on identifying molecular markers of recurrence and response to therapy—so-called molecular oncology. Although this is possible for gliomas, our molecular understanding of meningiomas is insufficiently developed at the present time. Accurate grading and systematic tissue collection for research as part of an international collaboration are required due to the rarity of atypical (and anaplastic) meningiomas. G.Z. and K.D.A. founded the International Consortium for Meningiomas. Disclosures or potential conflicts of interest. M.D.J. is the recipient of a grant from the National Institute of Health Research Health Technology Assessment program for the ROAM trial (NIHR HTA: 12/173/14).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,094
score de la tête « metaresearch » (Gemma)0,146
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,094
Score d'incertitude au seuil0,498

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0940,146
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,004
Communication savante0,0070,009
Science ouverte0,0050,003
Intégrité de la recherche0,0040,009
Charge utile insuffisante (le modèle a refusé de juger)0,0040,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,350
Écart entre enseignants0,305 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations25
Publié2016
Routes d'admission2
Résumé présentoui

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