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The concept of using diffuse reflectance spectroscopy to distinguish intraoperatively between pediatric brain tumors and normal brain parenchyma at the edge of resection cavities is evaluated using an in vivohuman study. Diffuse reflectance spectra are acquired from normal and tumorous brain areas of 12 pediatric patients during their tumor resection procedures, using a spectroscopic system with a handheld optical probe. A total of 400 spectra are acquired at the rate of 33 Hz from a single investigated site, from which the mean spectrum and the standard deviation are calculated. The mean diffuse reflectance spectra collected are divided into the normal and the tumorous categories in accordance with their corresponding results of histological analysis. Statistical methods are used to identify those spectral features that effectively separated the two tissue categories, and to quantify the spectral variations induced by the motion of the handheld probe during a single spectral acquisition procedure. The results show that diffuse reflectance spectral intensities between 600 and 800 nm are effective in terms of differentiating normal cortex from brain tumors. Furthermore, probe movements induce large variations in spectral intensities (i.e., larger standard deviation) between 400 and 600 nm. [ABSTRACT FROM AUTHOR]

The objective of this in vitrotissue study is to investigate the feasibility of using optical spectroscopy to differentiate pediatric neoplastic and epileptogenic brain from normal brain. Specimens are collected from 17 patients with brain tumors, and from 26 patients with intractable epilepsy during surgical resection of epileptogenic cerebral cortex. Fluorescence spectra are measured at excitations of 337, 360, and 440 nm; diffuse reflectance spectra are measured between 400 and 900 nmfrom each specimen. Pathological analysis is performed to classify abnormalities in brain specimens, and its findings are correlated with spectral data. Statistically significant differences (p<0.01)are found for both raw and normalized diffuse reflectance and fluorescence spectra between 1. neoplastic brain and normal gray matter, 2. epileptogenic brain and normal gray matter, and 3. neoplastic brain and normal white matter. However, no distinct spectral features are identified that effectively separate epileptogenic brain from normal white matter. The outcomes of the study suggest that certain unique compositional and structural characteristics of pediatric neoplastic and epileptogenic brain can be detected using optical spectroscopy in vitro. [ABSTRACT FROM AUTHOR]

Heart rate variability (HRV) has been used as prognostic tool in various disorders in pediatric and adult patients. In our study we aimed to evaluate heart rate variability indices and their association with neurological outcome in three children with anoxic brain injury following drowning. Three children included in the study were admitted following drowning and required mechanical ventilation and targeted temperature management. All physiologic data, including electrocardiography (ECG) and EEG were collected for a period of 3-5 days after enrollment. ECG signals were analyzed in both time and frequency domains. The spectral power of the low-frequency (LF) band (0.04-0.15 Hz) and that of the high-frequency (HF) band (0.15-0.4 Hz), the standard deviation of the average R to R ECG intervals (SDANN) were calculated. Mean low-frequency/high-frequency power ratios (LF/HF) were compared using a two-tailed t-test and ANOVA with Tukey--Kramer multiple comparisons. The power in the LF band, the LF/HF power ratio, and the SDANN, were lower in children who had a poor outcome, and during periods of isoelectric or burst suppression EEG patterns. [ABSTRACT FROM AUTHOR]

We explore the feasibility of using combined fluorescence and diffuse reflectance spectroscopy to characterize a myocardial infarct at different developing stages. An animal study is conducted using rats with surgically induced myocaridal infarction (MI). In vivofluorescence spectra at 337-nmexcitation and diffuse reflectance between 400 and 900 nmare measured from the heart. Spectral acquisition is performed: 1. for normal heart tissue; 2. for the area immediately surrounding the infarct; and 3. for the infarcted tissue itself, one, two, three, and four weeks into MI development. Histological and statistical analyses are used to identify unique pathohistological features and spectral alterations associated with the investigated regions. The main alterations (p<0.05)in diffuse reflectance spectra are identified primarily between 450 and 600 nm. The dominant fluorescence alterations are increases in peak fluorescence intensity at 400 and 460 nm. The extent of these spectral alterations is related to the duration of the infarction. The findings of this study support the concept that optical spectroscopy could be useful as a tool to noninvasively determine the in vivopathophysiological features of a myocardial infarct and its surrounding tissue, thereby providing real-time feedback to surgeons during various surgical interventions for MI. [ABSTRACT FROM AUTHOR]

Summary Purpose: Medically refractory epilepsy caused by cortical tubers resulting from tuberous sclerosis complex (TSC) often requires surgical intervention. The locations of cortical tubers generally are determined by preoperative magnetic resonance imaging (MRI). In this pilot study, we explored the feasibility of using the optical characteristics of cortical tubers as a potential means to guide their resection intraoperatively. Methods: Optical characteristics of normal cortex and cortical tubers were measured intraoperatively using diffuse reflectance spectroscopy in three children undergoing epilepsy surgery for drug-resistant seizures. Unique diffuse reflectance spectroscopic features of cortical tubers were identified and their physiologic associations determined. Key Findings: Diffuse reflectance spectra revealed several features that distinguish cortical tubers from normal cortex. In tubers, diffuse reflectance intensities at oxy- and deoxyhemoglobin isobestic points, like 500, 530, and 570 nm, were consistently higher than those in normal cortex. According to the profile of diffuse reflectance spectra from 520-580 nm, hemoglobin oxygenation in tubers often was lower than in normal cortex. Significance: Albeit preliminary, our findings suggest that the optical characteristics of cortical tubers differ from intervening normal cortex, likely reflecting the lower cerebral blood volumes and reduced hemoglobin oxygenation of cortical tubers. The results of this study can be used to design biomedical instruments that aid tuberectomies. [ABSTRACT FROM AUTHOR]

This paper reports the development of a probability-based spectroscopic diagnostic algorithm capable of simultaneously discriminating tumor core and tumor margins from normal human brain tissues. The algorithm uses a nonlinear method for feature extraction based on maximum representation and discrimination feature (MRDF) and a Bayesian method for classification based on sparse multinomial logistic regression (SMLR). Both the autofluorescence and the diffuse-reflectance spectra acquired in vivo from patients undergoing craniotomy or temporal lobectomy at the Vanderbilt University Medical Center were used to train and validate the algorithm. The classification accuracy was observed to be approximately 96%, 80%, and 97% for the tumor, tumor margin, and normal brain tissues, respectively, for the training data set and approximately 96%, 94%, and 100%, respectively, for the corresponding tissue types in an independent validation data set. The inherently multi-class nature of the algorithm facilitates a rapid and simultaneous classification of tissue spectra into various tissue categories without the need for a hierarchical multi-step binary classification scheme. Further, the probabilistic nature of the algorithm makes it possible to quantitatively assess the certainty of the classification and recheck the samples that are classified with higher relative uncertainty. [ABSTRACT FROM AUTHOR]