Literature DB >> 27101086

Evaluating vestibular schwannoma size and volume on magnetic resonance imaging: An inter- and intra-rater agreement study.

Anna C Lawson McLean1, Aaron Lawson McLean2, Steffen K Rosahl3.   

Abstract

OBJECTIVES: In the management of patients with vestibular schwannoma it is essential to reliably assess tumor size. In respect to volumetric and linear measurements of these tumors we evaluated a) the inter-rater reliability, b) the intra-rater variability, c) the concordance of volume measurements derived from axial versus those from coronal MRI datasets, and d) the correlation of one-dimensional and volumetric measurements. PATIENTS AND METHODS: We selected gadolinium-enhanced T1-weighted MRI datasets from 20 patients who had both axial and coronal datasets available with the same slice thickness in each of these orientations. Tumor volumes and diameters were independently determined by two investigators.
RESULTS: The inter-rater reliability was determined based on the intra-class correlation coefficient, which was 0.998 for volumetric measurements and 0.950 for diameters. The relative smallest detectable difference between both raters was 21.2% for volumetric and 21.2% for linear measurements. Regarding the intra-rater variability we found a relative smallest detectable difference of 17.5% (rater 1) and 24.3% (rater 2) for volumetric measurements. The correlation between measurements on axial and those on coronal datasets was ρ=0.999. In order to find a function that reliably predicts tumor volume from diameter, we fitted a series of equations based on linear and polynomial regression, with the highest regression coefficient being r(2)=0.79.
CONCLUSION: The longitudinal use of semi-automated volumetric measurements has the potential to accurately inform vestibular schwannoma disease management. We have quantified the reliability of this technique. A strict MRI protocol for follow-up investigations should be adhered to in order to minimize measuring errors.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Magnetic resonance imaging; Vestibular schwannoma; Volumetric analysis

Mesh:

Year:  2016        PMID: 27101086     DOI: 10.1016/j.clineuro.2016.04.010

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  5 in total

1.  Long-term natural history and patterns of sporadic vestibular schwannoma growth: A multi-institutional volumetric analysis of 952 patients.

Authors:  John P Marinelli; Zane Schnurman; Daniel E Killeen; Ashley M Nassiri; Jacob B Hunter; Katherine A Lees; Christine M Lohse; J Thomas Roland; John G Golfinos; Douglas Kondziolka; Michael J Link; Matthew L Carlson
Journal:  Neuro Oncol       Date:  2022-08-01       Impact factor: 13.029

Review 2.  Diagnostics and therapy of vestibular schwannomas - an interdisciplinary challenge.

Authors:  Steffen Rosahl; Christopher Bohr; Michael Lell; Klaus Hamm; Heinrich Iro
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2017-12-18

3.  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

4.  MRI based volumetric measurements of vestibular schwannomas in patients with neurofibromatosis type 2: comparison of three different software tools.

Authors:  Philipp Kollmann; Victor-Felix Mautner; Johannes Koeppen; Ralph Wenzel; Jan M Friedman; Johannes Salamon; Said Farschtschi
Journal:  Sci Rep       Date:  2020-07-14       Impact factor: 4.379

5.  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

  5 in total

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