Literature DB >> 33777640

Can an Imaging Marker of Consistency Predict Intraoperative Experience and Clinical Outcomes for Vestibular Schwannomas? A Retrospective Review.

Robert J Macielak1, Michael S Harris2, Jameson K Mattingly3, Varun S Shah4, Luciano M Prevedello5, Oliver F Adunka3.   

Abstract

Objective  The main purpose of this article is to determine if vestibular schwannoma consistency as determined by tissue intensity on T2-weighted magnetic resonance imagings (MRIs) is predictive of intraoperative experience and postoperative clinical outcomes. Study Design  Retrospective chart review. Setting  Tertiary referral center. Patients  Seventy-seven patients diagnosed with vestibular schwannomas who were treated with microsurgical resection. Intervention  Diagnostic. Main Outcome Measures  Intraoperative measures include totality of resection, surgical time and cranial nerve VII stimulation and postoperative measures include House-Brackmann grade and perioperative complications. Results  Tumor consistency determined via tissue intensity on MRI was only found to correlate with surgical time, with a softer tumor being associated with a longer surgical time ( p  < 0.0001). However, this was primarily driven by tumor volume with larger tumors being associated with longer surgical time based on multivariate analysis. None of the other intraoperative or postoperative measures considered were found to correlate with tumor consistency. Conclusions  Tumor consistency determined by MRI is not predictive of intraoperative experience or postoperative outcomes in vestibular schwannomas. Tumor volume is the strongest driver of these outcome measures as opposed to tumor consistency. Thieme. All rights reserved.

Entities:  

Keywords:  clinical outcomes; consistency; vestibular schwannoma

Year:  2019        PMID: 33777640      PMCID: PMC7987379          DOI: 10.1055/s-0039-1697026

Source DB:  PubMed          Journal:  J Neurol Surg B Skull Base        ISSN: 2193-634X


  25 in total

1.  Congress of Neurological Surgeons Systematic Review and Evidence-Based Guidelines on Hearing Preservation Outcomes in Patients With Sporadic Vestibular Schwannomas.

Authors:  Matthew L Carlson; Esther X Vivas; D Jay McCracken; Alex D Sweeney; Brian A Neff; Neil T Shepard; Jeffrey J Olson
Journal:  Neurosurgery       Date:  2018-02-01       Impact factor: 4.654

2.  Meningioma consistency prediction utilizing tumor to cerebellar peduncle intensity on T2-weighted magnetic resonance imaging sequences: TCTI ratio.

Authors:  Kyle A Smith; John D Leever; Phillip D Hylton; Paul J Camarata; Roukoz B Chamoun
Journal:  J Neurosurg       Date:  2016-04-08       Impact factor: 5.115

3.  Facial nerve monitoring parameters as a predictor of postoperative facial nerve outcomes after vestibular schwannoma resection.

Authors:  Brian A Neff; Jonathan Ting; Stephanie L Dickinson; D Bradley Welling
Journal:  Otol Neurotol       Date:  2005-07       Impact factor: 2.311

4.  Patient outcomes after vestibular schwannoma management: a prospective comparison of microsurgical resection and stereotactic radiosurgery.

Authors:  Bruce E Pollock; Colin L W Driscoll; Robert L Foote; Michael J Link; Deborah A Gorman; Christopher D Bauch; Jayawant N Mandrekar; Karl N Krecke; Craig H Johnson
Journal:  Neurosurgery       Date:  2006-07       Impact factor: 4.654

5.  The Changing Landscape of Vestibular Schwannoma Management in the United States--A Shift Toward Conservatism.

Authors:  Matthew L Carlson; Elizabeth B Habermann; Amy E Wagie; Colin L Driscoll; Jamie J Van Gompel; Jeffrey T Jacob; Michael J Link
Journal:  Otolaryngol Head Neck Surg       Date:  2015-06-30       Impact factor: 3.497

6.  Vestibular schwannoma between 1 and 3 cm: importance of the tumor size in surgical and functional outcome.

Authors:  Abolghasem Sepehrnia; Hamid Borghei-Razavi
Journal:  Clin Neurol Neurosurg       Date:  2014-12-04       Impact factor: 1.876

7.  Radiological and Clinical Factors Predicting the Facial Nerve Outcome following Retrosigmoid Approach for Large Vestibular Schwannomas (VSs).

Authors:  Mayur Sharma; Ashish Sonig; Sudheer Ambekar; Anil Nanda
Journal:  J Neurol Surg B Skull Base       Date:  2013-06-25

8.  Predicting Consistency of Meningioma by Magnetic Resonance Imaging.

Authors:  Kyle A Smith; John D Leever; Roukoz B Chamoun
Journal:  J Neurol Surg B Skull Base       Date:  2015-01-21

9.  Preoperative assessment of meningioma stiffness using magnetic resonance elastography.

Authors:  Matthew C Murphy; John Huston; Kevin J Glaser; Armando Manduca; Fredric B Meyer; Giuseppe Lanzino; Jonathan M Morris; Joel P Felmlee; Richard L Ehman
Journal:  J Neurosurg       Date:  2012-10-19       Impact factor: 5.115

10.  Meningioma Consistency: Correlation Between Magnetic Resonance Imaging Characteristics, Operative Findings, and Histopathological Features.

Authors:  Mahmoud Alyamany; Mohammad M Alshardan; Abdullah Abu Jamea; Nahid ElBakry; Lahbib Soualmi; Yasser Orz
Journal:  Asian J Neurosurg       Date:  2018 Apr-Jun
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