Literature DB >> 24914795

Surveillance after resection of vestibular schwannoma: measurement techniques and predictors of growth.

Shan Tang1, Andrew S Griffin, Julian A Waksal, C Douglas Phillips, Carl E Johnson, Joseph P Comunale, Sasan Karimi, Tiffany L Powell, Philip E Stieg, Philip H Gutin, Kevin D Brown, Matthew Sheehan, Samuel H Selesnick.   

Abstract

OBJECTIVES: To compare different methods of measuring tumor growth after resection of vestibular schwannoma and to identify predictors of growth. STUDY
DESIGN: Retrospective case review.
SETTING: Tertiary referral center, inpatient surgery with ambulatory follow-up. PATIENTS: All patients who underwent vestibular schwannoma resection by the senior author from September 1991 to April 2012 and had two or more postoperative MRI scans.
INTERVENTIONS: Vestibular schwannoma resection. Measurement of tumor size and enhancement pattern on postoperative magnetic resonance imaging scans. MAIN OUTCOME MEASURES: Tumor size as measured in one (linear), two (planar), and three (volumetric) dimensions using standard radiology workstation tools versus time elapsed since surgical resection.
RESULTS: Eighty-eight patients were included with mean follow-up of 3.9 years. Linear measurement of tumor size was found to have modest correlation with planar and volumetric measurements. Excellent correlation was found between the planar and volumetric methods. Nodular enhancement increased risk for tumor growth (OR 6.25, p = 0.03 on planar analysis). If there was growth, tumors with nodular enhancement typically showed increase in size beginning 2 years postoperatively, whereas those with linear or no enhancement were typically stable in size through 5 years. Younger age and larger preoperative tumor size were also risk factors for growth (OR 0.9/p = 0.01 and OR 1.09/p = 0.02).
CONCLUSION: Simple planar measurement is an efficient method that correlates well with the more time-consuming volumetric method. The major risk factor for tumor growth is nodular enhancement on a baseline scan, a finding that warrants annual MRI beginning 2 years postoperatively. Younger age and larger preoperative size minimally increased risk of growth.

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Year:  2014        PMID: 24914795     DOI: 10.1097/MAO.0000000000000459

Source DB:  PubMed          Journal:  Otol Neurotol        ISSN: 1531-7129            Impact factor:   2.311


  7 in total

1.  Should we be moving to a national standardized non-gadolinium MR imaging protocol for the surveillance of vestibular schwannomas?

Authors:  Stuart Currie; David Saunders; Jeremy Macmullen-Price; Sanjay Verma; Philip Ayres; Caroline Tait; Ceryl Harwood; Andrew Scarsbrook; Ian J Craven
Journal:  Br J Radiol       Date:  2019-01-23       Impact factor: 3.039

2.  A longitudinal study to assess the volumetric growth rate of spinal intradural extramedullary tumour diagnosed with schwannoma by magnetic resonance imaging.

Authors:  Chang-Hyun Lee; Chun Kee Chung; Seung-Jae Hyun; Chi Heon Kim; Ki-Jeong Kim; Tae-Ahn Jahng
Journal:  Eur Spine J       Date:  2015-06-25       Impact factor: 3.134

3.  Revision Surgery for Vestibular Schwannomas.

Authors:  Kevin A Peng; Brian S Chen; Mark B Lorenz; Gregory P Lekovic; Marc S Schwartz; William H Slattery; Eric P Wilkinson
Journal:  J Neurol Surg B Skull Base       Date:  2018-04-09

4.  EAONO position statement on Vestibular Schwannoma: Imaging Assessment Question: How should growth of Vestibular Schwannoma be defined?

Authors:  Romain Kania; Benjamin Vérillaud; Domitille Camous; Charlotte Hautefort; Thomas Somers; Jérôme Waterval; Sébastien Froelich; Philippe Herman
Journal:  J Int Adv Otol       Date:  2018-04       Impact factor: 1.017

5.  Vestibular schwannomas: Accuracy of tumor volume estimated by ice cream cone formula using thin-sliced MR images.

Authors:  Hsing-Hao Ho; Ya-Hui Li; Jih-Chin Lee; Chih-Wei Wang; Yi-Lin Yu; Dueng-Yuan Hueng; Hsin-I Ma; Hsian-He Hsu; Chun-Jung Juan
Journal:  PLoS One       Date:  2018-02-13       Impact factor: 3.240

6.  A comparison of semi-automated volumetric vs linear measurement of small vestibular schwannomas.

Authors:  Samuel MacKeith; Tilak Das; Martin Graves; Andrew Patterson; Neil Donnelly; Richard Mannion; Patrick Axon; James Tysome
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-01-15       Impact factor: 2.503

7.  Prediction of vestibular schwannoma recurrence using artificial neural network.

Authors:  Mehdi Abouzari; Khodayar Goshtasbi; Brooke Sarna; Pooya Khosravi; Trevor Reutershan; Navid Mostaghni; Harrison W Lin; Hamid R Djalilian
Journal:  Laryngoscope Investig Otolaryngol       Date:  2020-02-17
  7 in total

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