Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion

Ziying Yin, Joshua D. Hughes, Kevin J. Glaser, Armando Manduca, Jamie Van Gompel, Michael J. Link, Anthony Romano, Richard Lorne Ehman, John III Huston

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

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 >2.5cm 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.

Original languageEnglish (US)
JournalJournal of Magnetic Resonance Imaging
DOIs
StateAccepted/In press - 2017

Fingerprint

Elasticity Imaging Techniques
Meningioma
Brain
Confidence Intervals
Research Ethics Committees
Informed Consent
Brain Neoplasms
Neoplasms
Head

Keywords

  • Magnetic resonance elastography
  • Meningioma
  • Octahedral shear strain
  • Slip interface imaging
  • Surgical plane
  • Tumor-brain adhesion

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

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 Lorne; Huston, John III.

In: Journal of Magnetic Resonance Imaging, 2017.

Research output: Contribution to journalArticle

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abstract = "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 >2.5cm 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.",
keywords = "Magnetic resonance elastography, Meningioma, Octahedral shear strain, Slip interface imaging, Surgical plane, Tumor-brain adhesion",
author = "Ziying Yin and Hughes, {Joshua D.} and Glaser, {Kevin J.} and Armando Manduca and {Van Gompel}, Jamie and Link, {Michael J.} and Anthony Romano and Ehman, {Richard Lorne} and Huston, {John III}",
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T1 - Slip interface imaging based on MR-elastography preoperatively predicts meningioma-brain adhesion

AU - Yin, Ziying

AU - Hughes, Joshua D.

AU - Glaser, Kevin J.

AU - Manduca, Armando

AU - Van Gompel, Jamie

AU - Link, Michael J.

AU - Romano, Anthony

AU - Ehman, Richard Lorne

AU - Huston, John III

PY - 2017

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N2 - 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 >2.5cm 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.

AB - 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 >2.5cm 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.

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KW - Meningioma

KW - Octahedral shear strain

KW - Slip interface imaging

KW - Surgical plane

KW - Tumor-brain adhesion

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