Glioblastoma Mimicking an Arteriovenous Malformation

Khanna, Arjun; Venteicher, Andrew S.; Walcott, Brian P.; Kahle, Kristopher T.; Mordes, Daniel A.; William, Christopher; Ghogawala, Zoher; Ogilvy, Christopher S.

doi:10.3389/fneur.2013.00144

Cited by 17 publications

(7 citation statements)

References 35 publications

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“…Intra-cavernous aneurysms (IAs) (aSAH-N) may coexist with PAs, meningiomas, glioma, retinoblastoma, acoustic neurilemmoma, RCC, and cerebral malformations (Raskind, 1965 ; Gonzales-Portillo and Valdivia, 2006 ; Vogel et al, 2011 ; Akutsu et al, 2014 ). Although na-ne-SAH is the rarest type of SAH, it occurs due to bleeding from vascularization of the pituitary apoplexy (PA), cerebral metastases (CM), malignant glioma (MG), acoustic neuroma (AN), schwannoma of the cranial nerve, cervical meningiomas, cervical spinal cord hemangioblastoma, and spinal meningeal carcinomatosis with negative angiography (Gliemroth et al, 1999 ; Garg et al, 2004 ; Javalkar et al, 2009 ; Khanna et al, 2013 ; Heit et al, 2017 ). Drug-related SAH is relevant to cocaine abuse, and no aneurysms are shown or present during angiography (Rinkel et al, 1991a ).…”

Section: Discussionmentioning

confidence: 99%

Novel Subgroups in Subarachnoid Hemorrhage and Their Association With Outcomes—A Systematic Review and Meta-Regression

Wang

Song

et al. 2021

Front. Aging Neurosci.

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Background and Purpose: Subarachnoid hemorrhage (SAH) has long been classified into two main forms, aneurysmal SAH (aSAH) and non-aneurysmal SAH (naSAH), but the related risk factors for aSAH and naSAH are heterogeneous. Our objective was to determine the risk factors for SAH of known or unknown origin with respect to diagnostic evaluation in a large patient cohort. We sought to determine whether our classification system can further predict middle long-term stroke and death.Methods: We performed a systematic review and meta-analysis to identify risk factors for each SAH subtype. The discovery phase analyzed 11 risk factors from case studies in the literature. Kruskal-Wallis, Cox regression, logistic regression, and Kaplan-Meier analyses were used to compare the two groups.Results: A total of 14,904 (34.53%) male and 22,801 (52.84%) female patients were eligible for this study. At a median follow-up of 45.6 months, the 5-years overall survival was 97.768% (95% CI: 0.259–0.292) for aSAH patients and 87.904% (95% CI: 1.459–1.643) for naSAH patients. The 10-years survival rate was 93.870% (95% CI: 2.075–3.086) and 78.115% (95% CI: 2.810–3.156), respectively. Multi-risk factor subgroups showed significant intergroup differences. We identified eight risk factors (drugs, trauma, neoplastic, vessels lesion, inflammatory lesion, blood disease, aneurysm, peri-mesencephalic hemorrhage) using logistic regression, which were optimally differentiated among the aSAH [aSAH-S (AUC: 1), a-d-SAH (AUC: 0.9998), aSAH-T (AUC: 0.9199), aSAH-N (AUC: 0.9433), aSAH-V (AUC: 1), aSAH-I (AUC: 0.9954), a-bd-SAH (AUC: 0.9955)] and naSAH [na-pmSAH (AUC: 0.9979), na-ni-ivl-SAH (AUC: 1), na-t-SAH (AUC: 0.9997), na-ne-SAH (AUC: 0.9475), na-d-SAH (AUC: 0.7676)] subgroups. These models were applied in a parallel cohort, showing eight risk factors plus survival rates to predict the prognosis of SAH.Conclusions: The classification of risk factors related to aSAH and naSAH is helpful in the diagnosis and prediction of the prognosis of aSAH and naSAH patients. Further validation is needed in future clinical applications.

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Section: Discussionmentioning

confidence: 99%

Novel Subgroups in Subarachnoid Hemorrhage and Their Association With Outcomes—A Systematic Review and Meta-Regression

Wang

Song

et al. 2021

Front. Aging Neurosci.

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“…Recently, many reports [10][11][12][13][14][15][16][17] have indicated that there may be a relationship between CCM and intracranial tumors such as glioma, meningioma, and schwannoma. There also have been some reports of glioblastoma presenting as suspected arteriovenous malformation [1,10] . There may be two types of this relationship.…”

Section: Discussionmentioning

confidence: 99%

Cerebral Glioblastoma Mimicking a Cavernous Malformation: A Case Report and Literature Review

Zhang

Zuo

2017

Translational Neuroscience and Clinics

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Glioblastomas are highly malignant and invasive brain tumors. Cerebral cavernous malformations (CCMs) are vascular diseases of congenital and occult vascular dysplasia, which may arise sporadically or may be inherited due to autosomal dominant condition. To the best of our knowledge, cases of glioblastoma in the cerebral hemisphere mimicking cavernous malformation have not been reported in the literature. We reported a case of glioblastoma mimicking CCM. The patient was admitted at our hospital in July 2015 due to a 9-day history of intermittent dizziness. The present study reports a case of a glioblastoma on the right temporal lobe mimicking CCM, which was confirmed by postoperative pathology. The diagnosis of glioblastoma was not determined even during surgery, and the lesion was totally resected with no complications. During the surgical procedure, the lesion was very similar to a CCM. In conclusion, it is difficult to distinguish between glioblastoma and CCM. Therefore, when a lesion is present with hemorrhage and the imaging features are very similar to a vascular disease, a tumor must be considered in the differential diagnosis.

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“…Glioblastoma is the most common intracranial tumor and the most frequent cause of hemorrhage in brain tumors. ICH caused by glioblastoma is usually located in the cerebral hemispheres, basal ganglia, and corpus callosum [1] . A few hypotheses have been proposed to explain the etiology of tumor-associated hemorrhage.…”

Section: Discussionmentioning

confidence: 99%

Cerebral glioblastoma mimicking a cavernous malformation: A case report and literature review

Zhang

Zuo

2017

Transl. Neurosci. Clin.

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Glioblastoma Mimicking an Arteriovenous Malformation

Cited by 17 publications

References 35 publications

Novel Subgroups in Subarachnoid Hemorrhage and Their Association With Outcomes—A Systematic Review and Meta-Regression

Novel Subgroups in Subarachnoid Hemorrhage and Their Association With Outcomes—A Systematic Review and Meta-Regression

Cerebral Glioblastoma Mimicking a Cavernous Malformation: A Case Report and Literature Review

Cerebral glioblastoma mimicking a cavernous malformation: A case report and literature review

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