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Article

A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma

by
J. Scott Cordova
1,
Saumya S. Gurbani
1,2,
Jeffrey J. Olson
3,4,
Zhongxing Liang
1,
Lee A. D. Cooper
2,5,
Hui-Kuo G. Shu
4,6,
Eduard Schreibmann
6,
Stewart G. Neill
7,
Constantinos G. Hadjipanayis
3,8,
Chad A. Holder
1 and
Hyunsuk Shim
1,2,4,*
1
Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
2
Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia
3
Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia
4
Winship Cancer Institute of Emory University, Emory University, Atlanta, Georgia
5
Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia
6
Department of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia
7
Department of Pathology, Emory University School of Medicine, Atlanta, Georgia
8
Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
*
Author to whom correspondence should be addressed.
Tomography 2016, 2(2), 106-116; https://doi.org/10.18383/j.tom.2016.00136
Submission received: 5 May 2016 / Revised: 6 May 2016 / Accepted: 6 May 2016 / Published: 1 June 2016

Abstract

The diagnosis, prognosis, and management of patients with gliomas are largely dictated by the pathological analysis of tissue biopsied from a selected region within the lesion. However, the heterogeneous and infiltrative nature of gliomas make it difficult to identify the optimal region for biopsy with conventional magnetic resonance imaging (MRI). This is particularly true for low-grade gliomas, which are often nonenhancing tumors. To improve the management of patients with such tumors, neuro-oncology requires an imaging modality that can specifically identify a tumor's most anaplastic/aggressive region(s) for biopsy targeting. The addition of metabolic mapping using spectroscopic MRI (sMRI) to supplement conventional MRI could improve biopsy targeting and, ultimately, diagnostic accuracy. Here, we describe a pipeline for the integration of state-of-the-art, high-resolution, whole-brain 3-dimensional sMRI maps into a stereotactic neuronavigation system for guiding biopsies in gliomas with nonenhancing components. We also outline a machine-learning method for automated histological analysis that generates normalized, quantitative metrics describing tumor infiltration in immunohistochemically stained tissue specimens. As a proof of concept, we describe the combination of these 2 techniques in a small cohort of patients with grade 3 glioma. With this work, we aim to present a systematic pipeline to stimulate histopathological image validation of advanced MRI techniques, such as sMRI.
Keywords: grade 3 glioma; spectroscopic MRI; quantitative histological image analysis; biopsy planning; image–histology correlation grade 3 glioma; spectroscopic MRI; quantitative histological image analysis; biopsy planning; image–histology correlation

Share and Cite

MDPI and ACS Style

Cordova, J.S.; Gurbani, S.S.; Olson, J.J.; Liang, Z.; Cooper, L.A.D.; Shu, H.-K.G.; Schreibmann, E.; Neill, S.G.; Hadjipanayis, C.G.; Holder, C.A.; et al. A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma. Tomography 2016, 2, 106-116. https://doi.org/10.18383/j.tom.2016.00136

AMA Style

Cordova JS, Gurbani SS, Olson JJ, Liang Z, Cooper LAD, Shu H-KG, Schreibmann E, Neill SG, Hadjipanayis CG, Holder CA, et al. A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma. Tomography. 2016; 2(2):106-116. https://doi.org/10.18383/j.tom.2016.00136

Chicago/Turabian Style

Cordova, J. Scott, Saumya S. Gurbani, Jeffrey J. Olson, Zhongxing Liang, Lee A. D. Cooper, Hui-Kuo G. Shu, Eduard Schreibmann, Stewart G. Neill, Constantinos G. Hadjipanayis, Chad A. Holder, and et al. 2016. "A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma" Tomography 2, no. 2: 106-116. https://doi.org/10.18383/j.tom.2016.00136

APA Style

Cordova, J. S., Gurbani, S. S., Olson, J. J., Liang, Z., Cooper, L. A. D., Shu, H. -K. G., Schreibmann, E., Neill, S. G., Hadjipanayis, C. G., Holder, C. A., & Shim, H. (2016). A Systematic Pipeline for the Objective Comparison of Whole-Brain Spectroscopic MRI with Histology in Biopsy Specimens from Grade 3 Glioma. Tomography, 2(2), 106-116. https://doi.org/10.18383/j.tom.2016.00136

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