Samuel A Bobholz1, Allison K Lowman1, Savannah R Duenweg2, Aleksandra Winiarz2, Margaret Stebbins2, Fitzgerald Kyereme1, Jennifer Connelly3, Dylan Coss4, Wade M Mueller5, Mohit Agarwal1, Anjishnu Banerjee6, Max Krucoff5, and Peter S LaViolette1,7
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 5Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 6Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 7Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States
Synopsis
Keywords: Tumors, Brain
This study
sought to compare previously published autopsy-based radio-pathomic maps of
pre-surgical cellularity and tumor probability to beyond-contrast 5-ALA guided
resection margins to assess concordance in identifying non-enhancing tumor
between the techniques.
In a series of 10
cases, radio-pathomic maps were able to identify areas of non-enhancing tumor
prior to surgery that coincided with either 5-ALA guided resection margins or
areas of future recurrence in 7 of 10 cases, suggesting that highlighted areas
on these maps indicate active, progressive tumor.
Introduction
Surgical
removal is a critical component in the current standard of care for
glioblastomas, where maximal safe resection shows strong associations with
patient survival. The surgically resected margin is typically defined using
gadolinium-enhanced areas on T1-weighted imaging, which is known to
underestimate the true tumor margin in both de novo and recurrent cases.
Fluorescence-guided surgery using 5-aminolevulinic acid (5-ALA) has allowed
surgeons to expand the resection margin beyond signatures dependent on
blood-brain barrier disruption, but the technique is limited to what is readily
visible during the intervention (Figure 1). Therefore, this study sought
to compare previously published autopsy-based radio-pathomic maps of
pre-surgical cellularity and tumor probability to beyond-contrast 5-ALA guided
resection margins to assess concordance in identifying non-enhancing tumor
between the techniques.Methods
This study includes
10 glioblastoma patients that underwent 5-ALA guided surgery with pre- and
post-surgical imaging and confirmed resection beyond initial T1 contrast
enhancement. Radio-pathomic maps were generated for each pre-surgical timepoint
using our previously published technique1,2. Briefly, T1, T1C, FLAIR, and ADC
images were used as features to predict cellularity, extracellular fluid
density, cytoplasm density, and tumor probability using autopsy tissue samples
aligned to the last clinical imaging prior to death as ground truth (Figure
2). A training dataset of 43 patients was used to train a bagging
regression ensemble using 5 by 5 voxel tiles from the MRI as input and voxel-wise
pathological characteristics as labels, with a held-out test set of 22 subjects
used for model validation. These models demonstrated good quantitative
performance and readily identified pathologically-validated areas of occult tumor
invasion. Pre-surgical cellularity and
tumor probability maps were then qualitatively compared to the surgical
resection margin to identify whether the non-invasive maps would be able to
capture the extent of non-enhancing invasion. Imaging available from a subset
of patients with suspected recurrence following surgery were also qualitatively
compared to the radio-pathomic maps to identify cases where 5-ALA-guided
resection may have underestimated the true tumor burden.Results
Figure
3 shows five cases
where cellularity and tumor probability maps identify tumor infiltration beyond
initial contrast enhancement that coincide with the 5-ALA resection margin. For
a subset of these cases, the hypercellular/high tumor likelihood region extends
beyond the resection cavity, indicating areas where 5-ALA may have failed to
encompass the full extent of non-enhancing invasion. This is supported by the
findings from two cases with available recurrence data in Figure 4,
where the radio-pathomic maps identify large areas of tumor well-beyond both
initial contrast enhancement and the surgical cavity, but encompass areas where
patients exhibit recurrence following surgery, indicating areas of active
occult tumor spared treatment. Figure 5 shows three cases where the radio-pathomic
maps failed to fully capture the extent of non-enhancing tumor as defined by
the resection cavity, though some subjects show subtle, non-specific
indications of abnormal pathology in these missed regions.Discussion
In a
series of 10 cases, radio-pathomic maps were able to identify areas of
non-enhancing tumor prior to surgery that coincided with either 5-ALA guided
resection margins or areas of future recurrence in 7 of 10 cases, suggesting
that highlighted areas on these maps indicate active, progressive tumor. By
non-invasively identifying these regions on pre-surgical imaging, surgical
planning may be able to consider these more distant regions of proliferative
tumor and surgical margins may be able to expand to encompass an even greater
portion of tumor than using 5-ALA alone. Due to 5-ALA requiring exposed tumor
surface for visual identification, these maps could direct surgeons towards
fluorescing areas beyond what is visible in the immediate environment of the
initial enhancement. While radio-pathomic maps failed to capture the full
extent of resection in 3 cases, 5-ALA is known to stain false positives in
areas of infection or radiation necrosis, such that using a consensus measure
between 5-ALA positivity and high radio-pathomic tumor probability may provide
greater clinical confidence than either measure alone. Future research
comparing biopsy cores collected from the consensus region between 5-ALA and
tumor probability maps is essential to providing quantitative accuracy of the
combined technique, as well as future research investigating the chance of
recurrence in distant areas of high predicted tumor probability.Acknowledgements
No acknowledgement found.References
1. Radio-Pathomic Maps of Cell Density Identify Brain Tumor
Invasion beyond Traditional MRI-Defined Margins, S.A. Bobholz, A.K. Lowman, M. Brehler,
F. Kyereme, S.R. Duenweg, J. Sherman, S.D. McGarry, E.J. Cochran, J. Connelly, W.M.
Mueller, M. Agarwal, A. Banerjee, P.S. LaViolette, American Journal of
Neuroradiology Apr 2022, DOI: 10.3174/ajnr.A7477
2. Bobholz,
S. A., Lowman, A. K., Connelly, J. M., Duenweg, S. R., Winiarz, A., Brehler,
M., … LaViolette, P. S. (2022). Non-invasive tumor probability maps developed
using autopsy tissue identify novel areas of tumor beyond the imaging-defined
margin. MedRxiv, 2022.08.17.22278910. https://doi.org/10.1101/2022.08.17.22278910