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Towards clinico-pathological application of Raman spectroscopy

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Introduction<br />

Detection <strong>of</strong> Meningioma in Dura Mater by <strong>Raman</strong> Spectroscopy<br />

Meningiomas are the most common tumors <strong>of</strong> the meninges, composed <strong>of</strong> neoplastic<br />

meningothelial (arachnoidal) cells. They account for about 20% <strong>of</strong> all brain tumors. 1 There<br />

are many different histological subtypes <strong>of</strong> meningioma most <strong>of</strong> which are histologically<br />

benign. 1 Meningiomas are usually broadly attached to dura and are slowly growing tumors<br />

usually not infiltrating brain tissue. Despite their benign growth pattern these tumors are<br />

responsible for serious morbidity. Complete resection is the treatment <strong>of</strong> choice for lesions<br />

that are surgically accessible. 2 Although predominantly benign, meningiomas <strong>of</strong>ten recur,<br />

even following apparently complete resection. 3 15-year recurrence rates <strong>of</strong> over 30% have<br />

been observed after complete tumor resection. 4 A number <strong>of</strong> studies have addressed predictive<br />

factors for recurrence <strong>of</strong> meningiomas. These include histological subtype, mitotic<br />

index, age, gender, and also the extent <strong>of</strong> surgical excision. 4,5 In a classic paper by Simpson<br />

this issue was addressed. 6 It was postulated that residual nests <strong>of</strong> meningioma within the<br />

regional dura would play a major role, confirmed by later studies. 7,8 Surgical removal <strong>of</strong><br />

all dura infiltrated by tumor during resection is therefore important. Thusfar no objective<br />

per-operative tools are available to verify whether all tumor tissue has been removed.<br />

In the study reported here, we have investigated the possibility <strong>of</strong> using <strong>Raman</strong> <strong>spectroscopy</strong><br />

to distinguish between meningioma and dura to identify possibilities for the development<br />

<strong>of</strong> an in vivo <strong>Raman</strong> method as the basis for real-time guidance during surgical resection <strong>of</strong><br />

meningioma. We used some <strong>of</strong> the most common subtypes <strong>of</strong> meningioma, e.g., syncytial<br />

and transitional subtypes, and the less common microcystic subtype <strong>of</strong> meningioma. 1<br />

<strong>Raman</strong> <strong>spectroscopy</strong> is a non-destructive vibrational spectroscopic technique, based on<br />

inelastic scattering <strong>of</strong> light by the molecules in a sample. A <strong>Raman</strong> spectrum provides information<br />

about the molecular composition, molecular structures and molecular interactions<br />

in a tissue and can therefore be used to obtain specific biochemical information about a<br />

given tissue or disease state. 9,10 In recent years, significant progress has been reported in<br />

the <strong>application</strong> <strong>of</strong> <strong>Raman</strong> <strong>spectroscopy</strong> for in vitro characterization <strong>of</strong> tissues. A number <strong>of</strong><br />

studies reported on <strong>Raman</strong> spectra <strong>of</strong> various normal tissues and on spectral differences<br />

between normal tissue and neoplastic tissue <strong>of</strong> the skin, colon, larynx, cervix and breast. 11-20<br />

So far only few studies have reported on the use <strong>of</strong> <strong>Raman</strong> <strong>spectroscopy</strong> for brain tissue<br />

characterization. Mizuno et al. analyzed <strong>Raman</strong> spectra <strong>of</strong> different anatomical and functional<br />

structures <strong>of</strong> rat brain and they were the first to publish spectra <strong>of</strong> different brain<br />

tumors. 21,22 Wolthuis et al. demonstrated that water concentration in brain tissue can be very<br />

accurately determined by <strong>Raman</strong> <strong>spectroscopy</strong>. 23 Recently, we published the results <strong>of</strong> an in<br />

vitro study on human glioblastoma tissue describing the potential <strong>of</strong> <strong>Raman</strong> <strong>spectroscopy</strong><br />

for brain biopsy guidance. In that study, a classification model, based on spectra obtained,<br />

for discrimination between vital and necrotic glioblastoma tissue yielded 100% accuracy. 24<br />

The fact that <strong>Raman</strong> <strong>spectroscopy</strong> is noninvasive and does not rely on extrinsic contrast<br />

47

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