Meningiomas are the most common intracranial, extra-axial neoplasms and account for a significant proportion of all central nervous system (CNS) tumors. Regardless of the grade, treatment typically involves upfront surgical resection. However, in many instances, especially in meningiomas arising from the skull base, complete removal is often difficult given the close proximity to important anatomic structures. In this report, we discuss the use of stimulated Raman histology as a means to identify tissue boundaries during the resection of an extensive, recurrent, atypical spheno-orbital meningioma.
We report a 75-year-old male with a history of a prior left frontotemporal craniotomy for a grade II meningioma three years prior, who presented with worsening left-sided visual loss and pronounced temporal bossing. Repeat magnetic resonance imaging (MRI) revealed a recurrent left spheno-orbital tumor suggestive of a meningioma extending into the middle cranial fossa, the lateral orbit, and the temporalis muscle. He underwent an extended orbito-pterional craniotomy, and intraoperative stimulated Raman histology aided in the identification of tumor margins within the orbit and the temporalis muscle in order to better preserve the normal orbital contents and muscle bulk of the infratemporal fossa.
This case demonstrates the utility of stimulated Raman histology during the resection of invasive skull base tumors. The immediate intraoperative Raman histologic sections can clearly identify tissue boundaries and thus help preserve important anatomic structures. Continued development of this method can potentially improve the accuracy of intraoperative diagnoses and guide surgeons during tumor resections near eloquent anatomical regions or important normal structures.
Meningiomas are the most common adult brain tumor accounting for 36% of all central nervous system (CNS) neoplasms . World Health Organization (WHO) grade II/III meningiomas are not benign and most clinicians agree that gross total resection should be the goal of surgery to prevent tumor recurrence [2-6]. However, the margins of these neoplasms can be difficult to identify intraoperatively and there still remains no standardized diagnostic technique to locate tumor margins during excision .
Stimulated Raman histology allows for the fast, high-resolution acquisition of structural information through spectral image generation [8-9]. This occurs because of a phenomenon known as the Raman effect in which a scanning laser emits photons onto a sample thus generating a scattering pattern detected via a two-dimensional microarray. When applied to biological tissue, this can create a real-time histologic image without the use of flash freezing necessary in conventional frozen sections thus significantly reducing the time required to prepare pathology results [7,10-11].
To that end, several preclinical studies have been performed using stimulated Raman histology on ex vivo meningiomas and have shown exceedingly high sensitivity and specificity when attempting to discriminate tumors from normal tissue [12-14]. Although in vitro studies have also demonstrated that stimulated Raman histology is capable of detecting brain tumor margins, there have been no reports using this technique intraoperatively . Therefore, we present the first case of a patient with a recurrent WHO grade II spheno-orbital meningioma in which stimulated Raman histology was used to assist with identifying tumor margins during surgical excision.
After institutional review board approval, this patient was prospectively consented for participation in this study. Patient clinical information, including demographic data, presenting symptoms, intraoperative findings, and post-surgical clinical status, were obtained from the electronic medical record.
A 75-year-old male underwent a left frontotemporal craniotomy in 2014 for the resection of a WHO grade II meningioma. He presented four years later with new left-sided vision loss, proptosis, diplopia, and temporal bossing. MRI demonstrated a recurrence of the lesion with invasion into the temporalis muscle and the superolateral orbital wall (see Figures 1-3).
After induction of general anesthesia and registration of neuronavigation, a large pterional incision was made and after the dissection of the superficial temporalis fascia, the tumor was immediately identified within the temporalis muscle. The tumor was followed anteriorly until it entered the orbit. Then, after performing a superolateral orbitotomy, the tumor was identified intraorbitally back to the orbital apex and superior orbital fissure. The tumor consistency was soft, making it challenging to distinguish from the orbital fat and lacrimal gland. Furthermore, it was adherent to the temporalis muscle, making dissection difficult without removing a significant portion of the muscle. As a result, multiple samples were taken from the margin of the tumor within the temporalis/temporal bone and the orbital apex to be analyzed using stimulated Raman histology (SRH) in an effort to prevent disruption of the lacrimal gland, the superior and lateral rectus muscles, and the temporalis muscle. These specimens immediately underwent a one-step squash prep in which the fresh tissue was placed on a standard uncoated glass slide and flattened using normal saline and a coverslip. This slide was then placed on a motorized stage and focused using standard transmission light microscopy. Software was then utilized to provide high-resolution microscopic images requiring no special staining or frozen preparation. This resulted in readily available images that were subsequently used to distinguish tumor boundaries from normal lacrimal gland and muscle fibers/bone (Figures 4-6).
The resection was then continued extradurally via a Dolenc-Hakuba approach to expose the cavernous sinus and middle fossa floor. With this approach, the remaining tumor was removed from the middle fossa skull base. V2 was exposed back to the trigeminal ganglion as well as the infratemporal fossa and pterygopalatine fossa without entering the maxillary or sphenoid sinuses. The intradural tumor was then resected and all the involved dura accessible with the microsurgical technique. Afterwards, SRH and the surgical microscope identified no active tumor in the orbit or temporalis muscle. A small amount of residual tumor was intentionally left within the cavernous sinus in an attempt to prevent injury to any of its contents. The surgery, including the intradural component, was uneventful and the patient had no complications with notably improved vision and diplopia by three days postoperatively. The orbit was reconstructed with mesh and bone and the dural opening was closed with a dural substitute in a watertight fashion. Postoperative MRI demonstrated good decompression of the orbit and removal of the tumor invading the temporalis muscle (Figures 7-9).
Histopathologic examination, finalized at two weeks postoperatively, is shown in Figures 10-14 and confirms the diagnosis of atypical (WHO grade II) meningioma. At discharge, the patient was at his neurologic baseline and at the two-week follow-up, his diplopia had resolved.
Spheno-orbital meningiomas (SOM) account for only 4%-9% of all intracranial meningiomas . Due to the penetrative capabilities of SOMs, they can invade local structures, such as the orbit or cavernous sinus. Since these types of tumors can typically infiltrate such vital structures, surgical management can be increasingly difficult. When SOM was first described in the literature, many papers that were published demonstrated discouraging results, a high rate of recurrence led to the recommendation of a conservative approach to treatment .
Improvements in the management of brain tumors have led to decreased morbidity and increased survival rates, with the goal being to resect as much tumor as possible without causing any additional harm. However, even with the many great advances in surgical technique and imaging, studies show that the number one reason for brain tumor recurrence is known residual tumor following initial resection leading to increased morbidity and mortality in these patients . Furthermore, even for brain tumors that were considered acceptable for 100% resection preoperatively, there still remains fragments of tumor leftover in patients postoperatively in over 75% of cases. These studies show the importance of having newer surgical methods to more accurately help in total resection of a tumor.
The Raman spectrum of any molecule can be determined by measuring the Raman shifts interacting with the molecule’s chemical bonds and can be used for chemical identification. Chemical differences between tumor and normal tissue create distinguishably different Raman spectra and thus allow for the identification of tissue boundaries . Applications of stimulated Raman histology in brain tissue continue to provide promising results by being able to distinguish normal brain from tumor-cell infiltrated brain with high sensitivity and specificity . Furthermore, studies have shown a significant reduction in the time to completion of pathologic preparation when using stimulated Raman histology versus standard techniques .
Three studies published within the last 15 years examined the diagnostic accuracy of stimulated Raman histology in differentiating meningioma from normal tissue; the sensitivity and specificity determined in these studies were 0.98 and 1.00, respectively, with high diagnostic accuracy [12-14]. Koljenovic et al. studied meningioma and normal dura using stimulated Raman histology and noted that large differences exist between the Raman spectra of meningioma and dura due to the high lipid content in the tumor and the high collagen content of the dura. The Raman spectra discriminant analysis yielded an accuracy of 100% in 20 patients, further showing that stimulated Raman histology is a promising intraoperative neurosurgical tool in differentiating meningioma from normal tissue . In this case, stimulated Raman histology allowed us to confirm tumor margins and identify the surrounding normal tissue with a high level of accuracy. When achieving negative margins are needed during oncologic resection, stimulated Raman histology has the advantage of providing fast and reliable feedback to help guide the surgeon while additional pathological data is gathered and processed.
Our case demonstrates the utility of stimulated Raman histology as an effective tool for differentiating meningioma from normal tissue. Its use as a technique to identify tissue margins can help ensure complete resection of the tumor while preventing iatrogenic injury to adjacent normal structures, thus improving overall accuracy in brain tumor surgeries while circumventing the need for tissue preparation with standard pathology techniques.
- Ostrom QT, Gittleman H, Liao P, et al.: CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2007-2011. Neuro Oncol. 2014, 16:1-63. 10.1093/neuonc/nou223
- Karsy M, Guan J, Cohen A, Colman H, Jensen RL: Medical management of meningiomas: current status, failed treatments, and promising horizons. Neurosurg Clin N Am. 2016, 27:249-260. 10.1016/j.nec.2015.11.002
- Mehta K, Atak A, Sahu A, Srivastava S, Krishna CM: An early investigative serum Raman spectroscopy study of meningioma. Analyst. 2018, 143:1916-1923. 10.1039/c8an00224j
- Paldor I, Awad M, Sufaro YZ, Kaye AH, Shoshan Y: Review of controversies in management of non-benign meningioma. J Clin Neurosci. 2016, 31:37-46. 10.1016/j.jocn.2016.03.014
- Simpson D: The recurrence of intracranial meningiomas after surgical treatment. J Neurol Neurosurg Psychiat. 1957, 20:22-39. 10.1136/jnnp.20.1.22
- Walbert T, Mikkelsen T: Recurrent high-grade glioma: a diagnostic and therapeutic challenge. Expert Rev Neurother. 2011, 11:509-518. 10.1586/ern.11.37
- Zhang J, Fan Y, He M, Ma X, Song Y, Liu M, Xu J: Accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. Oncotarget. 2017, 8:36824-36831. 10.18632/oncotarget.15975
- Downes A, Elfick A: Raman spectroscopy and related techniques in biomedicine. Sensors. 2010, 10:1871-1889. 10.3390/s100301871
- Orringer DA, Pandian B, Niknafs YS, et al.: Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy. Nat Biomed Eng. 2017, 1:27. 10.1038/s41551-016-0027
- Kalkanis SN, Kast RE, Rosenblum ML, et al.: Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections. J Neurooncol. 2014, 116:477-485. 10.1007/s11060-013-1326-9
- Zhang B, Sun M, Yang Y, et al.: Rapid, large-scale stimulated Raman histology with strip mosaicing and dual-phase detection. Biomed Opt Express. 2018, 9:2604-2613. 10.1364/BOE.9.002604
- Aguiar RP, Silveira L, Jr., Falcao ET, Pacheco MT, Zangaro RA, Pasqualucci CA: Discriminating neoplastic and normal brain tissues in vitro through Raman spectroscopy: a principal components analysis classification model. Photomed Laser Surg. 2013, 31:595-604. 10.1089/pho.2012.3460
- Koljenovic S, Schut TB, Vincent A, Kros JM, Puppels GJ: Detection of meningioma in dura mater by Raman spectroscopy. Anal Chem. 2005, 77:7958-7965. 10.1021/ac0512599
- Zhou Y, Liu CH, Sun Y, Pu Y, Boydston-White S, Liu Y, Alfano RR: Human brain cancer studied by resonance Raman spectroscopy. J Biomed Opt. 2012, 17:116021. 10.1117/1.JBO.17.11.116021
- Ji M, Lewis S, Camelo-Piragua S, et al.: Detection of human brain tumor infiltration with quantitative stimulated Raman scattering microscopy. Sci Transl Med. 2015, 7:309. 10.1126/scitranslmed.aab0195
- Gonen L, Nov E, Shimony N, Shofty B, Margalit N: Sphenoorbital meningioma: surgical series and design of an intraoperative management algorithm. Neurosurg Rev. 2018, 41:291-301. 10.1007/s10143-017-0855-7
- Scarone P, Leclerq D, Heran F, Robert G: Long-term results with exophthalmos in a surgical series of 30 sphenoorbital meningiomas. Clinical article. J Neurosurg. 2009, 111:1069-1077. 10.3171/2009.1.JNS081263
- Petrecca K, Guiot MC, Panet-Raymond V, Souhami L: Failure pattern following complete resection plus radiotherapy and temozolomide is at the resection margin in patients with glioblastoma. J Neurooncol. 2013, 111:19-23. 10.1007/s11060-012-0983-4
- Hollon T, Lewis S, Freudiger CW, Sunney Xie X, Orringer DA: Improving the accuracy of brain tumor surgery via Raman-based technology. Neurosurg Focus. 2016, 40:9. 10.3171/2015.12.FOCUS15557
- Desroches J, Jermyn M, Mok K, et al.: Characterization of a Raman spectroscopy probe system for intraoperative brain tissue classification. Biomed Opt Express. 2015, 6:2380-2397. 10.1364/BOE.6.002380
Stimulated Raman Histology for Intraoperative Guidance in the Resection of a Recurrent Atypical Spheno-orbital Meningioma: A Case Report and Review of Literature
Ethics Statement and Conflict of Interest Disclosures
Human subjects: Consent was obtained by all participants in this study. IRB issued approval 20160437. IRB approval has been obtained for retrospective chart reviews on brain tumor patient data. The data was stripped of all identifying information. As a result, the consent process was waived. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Cite this article as:
Luther E, Matus A, Eichberg D G, et al. (October 14, 2019) Stimulated Raman Histology for Intraoperative Guidance in the Resection of a Recurrent Atypical Spheno-orbital Meningioma: A Case Report and Review of Literature. Cureus 11(10): e5905. doi:10.7759/cureus.5905
Received by Cureus: October 09, 2019
Peer review began: October 10, 2019
Peer review concluded: October 13, 2019
Published: October 14, 2019
© Copyright 2019
Luther et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 3.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.