New tool to help brain surgeons, one step closer to operating room

Image A shows DESI mass spectrometry imaging from a surgical sample of a meningioma tumor and an optical image of a stained serial section. The distribution of meningioma cells observed by microscopy correlates with that identified through the DESI analysis. Image B shows the mass spectrum of meningioma region of the tissue section and illustrates the characteristic meningioma lipid profile. Credit: (PNAS image, pnas.1215687110, Jan. 8 early edition/courtesy of Cooks' laboratory)

(Medical Xpress)—A new tool that could allow for faster, more comprehensive testing of brain tissue during surgery successfully identified the cancer type, grade and tumor margins in five brain surgery patients, according to a new Brigham and Women's Hospital and Purdue University study. The paper detailing the results will be published in an upcoming issue of the Proceedings of the National Academy of Sciences and was published online this week.

The tool sprays a microscopic stream of charged solvent onto the tissue surface to gather information about its and produces a color-coded image that reveals the nature and concentration of .

Researchers analyzed specimens removed from the patients, but the goal is to one day be able to perform the analysis on intact tissue during surgery, said R. Graham Cooks, PhD, Purdue University, co-lead author.

Nathalie Agar, PhD, director of the Surgical Laboratory, BWH Department of Neurosurgery, co-lead author, said the findings showed the potential of the analysis method and achieved an important step in the path to assessing its value in improving patient care.

"This approach could lead to real-time, image-guided surgery without interference with surgical care and without the administration of labeling agents," said Agar. "Such extensive and detailed information about the tissue was previously unavailable to surgeons and could lead to more precise . In addition, having access to a detailed diagnosis on the day of surgery could help the oncologist more efficiently design the course of adjuvant therapy."

"We hope to eventually be able to perform this analysis during surgery to help guide brain surgeons so that the borders of tumors can be identified and the cancer status of a site can be established before any tissue is removed," said Cooks. "We aren't there yet, but this was a critical step in the process. It shows we've found easily identifiable molecular patterns that can be used to diagnose the type and concentration of cancer cells."

Purdue researchers designed the tool and collaborated with researchers and physicians at Brigham and Women's Hospital to perform the study. The was performed in the Advanced Multi-Modality Image Guided Operating suite, or AMIGO, and in standard operating rooms at Brigham and Women's Hospital.

Alexandra Golby, MD, director of Image-Guided Neurosurgery, BWH Department of Neurosurgery, co-author, said brain tumors are particularly challenging to remove.

"Tumor tissue within the brain often closely resembles normal brain tissue and may have indistinct boundaries, so it is difficult to determine where the tumor ends and the normal brain tissue begins," said Golby, who also is the clinical co-director of AMIGO. "We want to preserve as much functional brain tissue as possible, especially when a tumor is in a critical area of the brain, like that which supports movement, speaking or vision."

Current surgical methods rely on the trained eye of the surgeon with the help of an operating microscope and imaging from scans performed before the surgery.

Pathological examination of specimens taken from the brain during surgery provides the most specific information about the tissue and diagnosis of the cancer. However, this examination of frozen sections takes about half an hour, which is too long for it to be useful in examining multiple samples and guiding surgery, said Sandro Santagata, MD, PhD, BWH Department of Pathology, co-author.

"The new tool is able—in a matter of seconds—to identify and classify glioma and meningioma tumors and recognize the tumor grade," said Santagata. "It is able to establish the same type of assessment the pathology offers, but at a pace that is compatible with surgery."

Surgeons removed thirty-two specimens from the patients during surgery, which were later analyzed by both the new tool and standard pathology methods to test its accuracy. The results for the patient samples were in very good agreement with standard pathology, said Cooks.

The tool relies on an ambient mass spectrometry analysis technique developed by Cooks and his colleagues called desorption electrospray ionization, or DESI.

Mass spectrometry works by first turning molecules into ions, or electrically charged versions of themselves so that they can be identified by their mass. Through mass analysis of the ions the contents of a sample can be identified.

Graduate student Livia Eberlin, Purdue University, uses DESI technology to analyze a sample. A team led by R. Graham Cooks, Purdue's Henry Bohn Hass Distinguished Professor of Chemistry, used DESI to create a tool that could allow for faster, more comprehensive testing of brain tissue during cancer surgery. Credit: (Purdue University photo/Steve Scherer)

Conventional mass spectrometry requires chemical separations, manipulations of samples, and containment in a vacuum chamber for ionization and analysis. The DESI technique eliminates these requirements by performing the ionization step directly on surfaces outside of the mass spectrometers, making the process much simpler, faster and more applicable to surgical settings.

The researchers used DESI to evaluate the distribution and amounts of fatty substances called lipids within the . A software program the team developed then used the results to characterize the brain tumors and detect boundaries between healthy and cancerous tissue. The researchers identified lipid patterns that corresponded to the different types and grades of cancer and concentrations of tumor cells through earlier studies of banked brain tumor tissue.

Livia Eberlin, who was a graduate student at Purdue at the time of the study and participated in the research, said the team expanded and improved the classification system for brain cancers by adding the meningioma tumor type, prior to the study.

"The classifier includes the two most common types of brain tumors, gliomas and meningiomas, which combined account for about sixty-five percent of all brain tumors," said Eberlin, who is now a post-doctoral researcher at Stanford University. "The molecular information that is obtained from this kind of imaging technology allows for an analysis that is much more detailed than what other techniques can offer. We hope that it can one day help the thousands of people affected by brain cancer every year."

The classification results for brain tumor type in the validation studies of banked tissue agreed with standard pathology methods 100 percent of the time. The researchers found that the results of the mass spectrometry analysis of samples taken from the patients during surgery agreed with pathology with very few exceptions, despite the complexity and heterogeneity of the surgical samples. The composition of samples taken from different regions of an individual tumor can differ and tumor cell concentrations are especially variable, said Eberlin.

The team plans to continue to add to and improve the classification software and to develop a miniature mass spectrometer that could be used during surgery, said Cooks. The team also will continue to examine the molecular patterns of cancerous tissue.

"Ambient ionization mass spectrometry allows us to look directly at unmanipulated tissue, just as a surgeon does, and get simple but extremely valuable molecular information," said Cooks. "These molecules have a story to tell not just in terms of aiding diagnosis, but also perhaps in terms of prognosis and our understanding of this devastating disease."

Brigham and Women's Hospital has set up a mass spectrometer in the AMIGO suite and plans to begin testing the methodology for the detection of brain and breast cancer margins during surgery, said Agar.

This research was supported by the National Institutes of Health, James S. McDonnell Foundation, Brain Science Foundation and the Daniel E. Ponton fund for the Neurosciences, and the Klarman Family Foundation funded this research.

More information: www.pnas.org/content/early/201… /1215687110.abstract

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