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Enregistrement W4405041772 · doi:10.1182/blood-2024-199172

Imaging Predictors of Intracerebral Hemorrhage in Patients with Brain Tumors Treated with Anticoagulation

2024· article· en· W4405041772 sur OpenAlexaff
Rani Barnea, Jonathan Naftali, Eva N. Hamulyák, Andrew M. Peseski, Tzu‐Fei Wang, Lisa Baumann Kreuziger, Varun Iyengar, Brian J. Carney, Berna C. Özdemir, Kristen M. Sanfilippo, Shira Rozenblatt, Ludo F.M. Beenen, Shlomit Yust‐Katz, Erez Halperin, Aaron Lubetsky, Andriy Derkach, David Nemirovsky, Marc Carrier, Ben Massat, Ariela Arad, Martinus P. G. Broen, Gabriela N. Cesarman-Maus, Ann Hoeben, Michèle J. Hoffmann, Yossi Kalish, Pia Raanani, Hugo Ten Cate, Ariella Tvito, Harry R. Büller, Galia Spectre, Jeffrey I. Zwicker, Eitan Auriel, Avi Leader

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueBrain Metastases and Treatment
Établissements canadiensOttawa HospitalUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésMedicineIntracerebral hemorrhageGliomaInternal medicineRadiologySubarachnoid hemorrhage

Résumé

récupéré en direct d'OpenAlex

Introduction Spontaneous intracerebral hemorrhage (sICH) frequently occurs in patients with primary or metastatic brain tumors treated with anticoagulation and presents primarily as intratumoral bleeding. While an association between the burden of cerebral small vessel disease (CSVD) on brain magnetic resonance imaging (MRI) and sICH has been observed in patients receiving anticoagulation, it is unknown whether this holds true for patients with brain tumors. Intratumoral siderosis, a marker of prior subclinical sICH, represents a potential risk factor for subsequent sICH. Aim To evaluate whether markers of CSVD on brain MRI and intratumoral siderosis are associated with sICH in patients with brain tumors treated with anticoagulation. Methods This was a preplanned sub-study of the ABC study, a retrospective multinational cohort study which included 745 adults with primary or metastatic brain tumors treated with therapeutic-dose anticoagulation (low molecular weight heparin [LMWH] or direct oral anticoagulant [DOAC]) for any indication or duration (1/1/2014 - 1/1/2022), with 12 month follow up. All patients in whom baseline MRI images were available were included in the current study. MRI scans were analyzed for imaging markers of CSVD that are known to be independently associated with sICH in the general population, including white matter hyperintensities graded by Fazekas score (to reflect CSVD burden) and cerebral microbleeds. Baseline MRI scans were read and analyzed according to STRIVE-2 classification by a neurovascular research group specialized in CSVD imaging with excellent interrater reliability for these measures (Naftali 2023. PMID: 37978833). Intratumoral siderosis were also analyzed. The study outcome was sICH over 12 months follow-up, identified by record review and confirmed by a neuroradiologist, who was blinded to baseline MRIs. Baseline MRI readers were blinded to occurrence of sICH outcomes during follow up. Univariate analysis assessed associations between baseline MRI parameters and sICH, stratified for study center and adjusted for stopping anticoagulation. An additional analysis adjusted for cancer type as well. Results This analysis included 294 with baseline MRI of the 745 ABC patients. The median age was 63.0 years and 148 (50%) were female. Cancer types included primary brain tumors (123; 42.0%), metastases from primary lung (105; 36.0%), breast (29; 9.9%), and melanoma grouped with renal cell carcinoma tumors (12; 4.1%), as well as other types of cancer (25; 8.5%). The indication for anticoagulation was venous thromboembolism in 265 (90%) patients; 169 (57.5%) patients were treated with LMWH and 125 (42.5%) were treated with a DOAC. The 12-month cumulative incidence of sICH was 7.9% (95% confidence interval [CI] 5.3%-12.0%); 20/22 sICH events were intratumoral. The baseline MRI was performed at a median of 14 days (IQR 0-39) before study index date (i.e., first day of concurrent anticoagulation and brain tumor). Cerebral microbleeds and intratumoral siderosis could be assessed in the 224/294 patients with susceptibility weighted imaging (SWI) sequences performed. Fazekas score could be evaluated in the 290/294 patients with fluid attenuated inversion recovery (FLAIR) sequences. Nineteen of 224 (8.5%) patients had extratumoral cerebral microbleeds. Intratumoral siderosis was demonstrated in 83/224 (37%) patients. The Fazekas score was 0 or 1 (no or mild CSVD burden) in 261/290 (90%) patients and 2 or 3 (moderate to severe CSVD burden) in 29/290 (10%) patients. On univariable analysis, intratumoral siderosis (hazard ratio [HR] 3.44; 95% CI 1.01-11.7); cerebral microbleeds (HR 8.13; 95% CI 1.81-36.6) and moderate to severe CSVD burden (HR 4.71; 95% CI 1.89-11.7) were associated with sICH. Adjustment for cancer type demonstrated similar associations for intratumoral siderosis (HR 2.59; 95% CI 0.70-9.67), cerebral microbleeds (HR 11.4; 95% CI 1.71 - 76.1) and moderate to severe CSVD burden (HR 5.28; 95% CI 1.94 - 14.4). In a cross-correlation analysis, no statistically significant associations between the 3 MRI parameters were observed at baseline. Conclusion Baseline MRI findings appear to be predictive of sICH in patients with brain tumors treated with anticoagulation. Future studies should assess whether these parameters can guide management of anticoagulation in this population.

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)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,004
Tête enseignante GPT0,213
Écart entre enseignants0,208 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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