Cerebral cavernous malformation remnants after surgery: a single-center series with long-term bleeding risk analysis.
Marco M FontanellaEdoardo AgostiLuca ZaninLodovico Terzi di BergamoFrancesco DogliettoPublished in: Neurosurgical review (2020)
The aim of this work is to investigate the long-term bleeding risk of cerebral cavernous malformation (CCM) remnants. A review of clinical, radiological, operative, and post-operative data of a cerebral cavernous malformation (CCMs) prospective database was performed. Fisher's exact test and Mann-Whitney U-test were used to assess differences between non-hemorrhagic and hemorrhagic CCM remnants for 14 variables. Recursive partitioning analysis was performed to assess the order of variables most associated with CCM remnant bleeding. Twenty-four patients out of 126 had a CCM post-surgical remnant. Of these, 7 had at least one post-operative hemorrhagic event. The mean follow-up was 80.7 months (range 12-144). CCM post-surgical remnant bleeding presented mostly with acute headache (50%) and focal neurological deficit (25%); in the remaining cases, the hemorrhage was asymptomatic. Retreatment was performed in two patients, with surgery and radiosurgery, respectively; no treatment was performed in the majority of cases. All patients ranked as non-II, according to Zabramski classification, did not show any post-surgical bleeding. The presence of a pre-operative perilesional hemosiderin ring was highly significant in predicting post-surgical bleeding (sensitivity = 0.94, specificity = 0.88) and incorrectly predicted bleeding in only two of the 24 patients. This study provides an evaluation of clinical and radiological factors influencing the bleeding risk of a CCM post-surgical remnant in a homogeneous population. Perilesional hemosiderin ring and Zabramski Type II appear to strongly condition the bleeding risk of a CCM post-surgical remnant.
Keyphrases
- atrial fibrillation
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- chronic kidney disease
- ejection fraction
- newly diagnosed
- subarachnoid hemorrhage
- minimally invasive
- prognostic factors
- machine learning
- emergency department
- intensive care unit
- hepatitis b virus
- coronary artery disease
- brain injury
- patient reported outcomes
- artificial intelligence
- molecular dynamics
- electronic health record
- smoking cessation