Cargando…
Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion
PURPOSE: To investigate the ability of slip interface imaging (SII), a recently developed magnetic resonance elastography (MRE)‐based technique, to predict the degree of meningioma–brain adhesion, using findings at surgery as the reference standard. MATERIALS AND METHODS: With Institutional Review B...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600107/ https://www.ncbi.nlm.nih.gov/pubmed/28194925 http://dx.doi.org/10.1002/jmri.25623 |
_version_ | 1783264190100668416 |
---|---|
author | Yin, Ziying Hughes, Joshua D. Glaser, Kevin J. Manduca, Armando Van Gompel, Jamie Link, Michael J. Romano, Anthony Ehman, Richard L. Huston, John |
author_facet | Yin, Ziying Hughes, Joshua D. Glaser, Kevin J. Manduca, Armando Van Gompel, Jamie Link, Michael J. Romano, Anthony Ehman, Richard L. Huston, John |
author_sort | Yin, Ziying |
collection | PubMed |
description | PURPOSE: To investigate the ability of slip interface imaging (SII), a recently developed magnetic resonance elastography (MRE)‐based technique, to predict the degree of meningioma–brain adhesion, using findings at surgery as the reference standard. MATERIALS AND METHODS: With Institutional Review Board approval and written informed consent, 25 patients with meningiomas >2.5 cm in maximal diameter underwent preoperative SII assessment. Intracranial shear motions were introduced using a soft, pillow‐like head driver and the resulting displacement field was acquired with an MRE pulse sequence on 3T MR scanners. The displacement data were analyzed to determine tumor–brain adhesion by assessing intensities on shear line images and raw as well as normalized octahedral shear strain (OSS) values along the interface. The SII findings of shear line images, OSS, and normalized OSS were independently and blindly correlated with surgical findings of tumor adhesion by using the Cohen's κ coefficient and chi‐squared test. RESULTS: Neurosurgeons categorized the surgical plane as extrapial (no adhesion) in 15 patients, mixed in four, and subpial (adhesion) in six. Both shear line images and OSS agreed with the surgical findings in 18 (72%) cases (fair agreement, κ = 0.37, 95% confidence interval [CI]: 0.05–0.69), while normalized OSS was concordant with the surgical findings in 23 (92%) cases (good agreement, κ = 0.86, 95% CI: 0.67–1). The correlation between SII predictions (shear line images, OSS, and normalized OSS) and the surgical findings were statistically significant (chi‐squared test, P = 0.02, P = 0.02, and P < 0.0001, respectively). CONCLUSION: SII preoperatively evaluates the degree of meningioma–brain adhesion noninvasively, allowing for improved prediction of surgical risk and tumor resectability. Level of Evidence: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1007–1016. |
format | Online Article Text |
id | pubmed-5600107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56001072017-10-02 Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion Yin, Ziying Hughes, Joshua D. Glaser, Kevin J. Manduca, Armando Van Gompel, Jamie Link, Michael J. Romano, Anthony Ehman, Richard L. Huston, John J Magn Reson Imaging Original Research PURPOSE: To investigate the ability of slip interface imaging (SII), a recently developed magnetic resonance elastography (MRE)‐based technique, to predict the degree of meningioma–brain adhesion, using findings at surgery as the reference standard. MATERIALS AND METHODS: With Institutional Review Board approval and written informed consent, 25 patients with meningiomas >2.5 cm in maximal diameter underwent preoperative SII assessment. Intracranial shear motions were introduced using a soft, pillow‐like head driver and the resulting displacement field was acquired with an MRE pulse sequence on 3T MR scanners. The displacement data were analyzed to determine tumor–brain adhesion by assessing intensities on shear line images and raw as well as normalized octahedral shear strain (OSS) values along the interface. The SII findings of shear line images, OSS, and normalized OSS were independently and blindly correlated with surgical findings of tumor adhesion by using the Cohen's κ coefficient and chi‐squared test. RESULTS: Neurosurgeons categorized the surgical plane as extrapial (no adhesion) in 15 patients, mixed in four, and subpial (adhesion) in six. Both shear line images and OSS agreed with the surgical findings in 18 (72%) cases (fair agreement, κ = 0.37, 95% confidence interval [CI]: 0.05–0.69), while normalized OSS was concordant with the surgical findings in 23 (92%) cases (good agreement, κ = 0.86, 95% CI: 0.67–1). The correlation between SII predictions (shear line images, OSS, and normalized OSS) and the surgical findings were statistically significant (chi‐squared test, P = 0.02, P = 0.02, and P < 0.0001, respectively). CONCLUSION: SII preoperatively evaluates the degree of meningioma–brain adhesion noninvasively, allowing for improved prediction of surgical risk and tumor resectability. Level of Evidence: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1007–1016. John Wiley and Sons Inc. 2017-02-14 2017-10 /pmc/articles/PMC5600107/ /pubmed/28194925 http://dx.doi.org/10.1002/jmri.25623 Text en © 2017 The Authors Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Yin, Ziying Hughes, Joshua D. Glaser, Kevin J. Manduca, Armando Van Gompel, Jamie Link, Michael J. Romano, Anthony Ehman, Richard L. Huston, John Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion |
title | Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion |
title_full | Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion |
title_fullStr | Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion |
title_full_unstemmed | Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion |
title_short | Slip interface imaging based on MR‐elastography preoperatively predicts meningioma–brain adhesion |
title_sort | slip interface imaging based on mr‐elastography preoperatively predicts meningioma–brain adhesion |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600107/ https://www.ncbi.nlm.nih.gov/pubmed/28194925 http://dx.doi.org/10.1002/jmri.25623 |
work_keys_str_mv | AT yinziying slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT hughesjoshuad slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT glaserkevinj slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT manducaarmando slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT vangompeljamie slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT linkmichaelj slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT romanoanthony slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT ehmanrichardl slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion AT hustonjohn slipinterfaceimagingbasedonmrelastographypreoperativelypredictsmeningiomabrainadhesion |