scholarly journals The Efficacy of Photobiomodulation Therapy in Improving Tissue Resilience and Healing of Radiation Skin Damage

Photonics ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Rodrigo Crespo Mosca ◽  
Sofia Nascimento Santos ◽  
Gesse Eduardo Calvo Nogueira ◽  
Daisa Lima Pereira ◽  
Francielli Campos Costa ◽  
...  
Keyword(s):  
Near Infrared ◽  
Continuous Wave ◽  
Skin Damage ◽  
Cancer Treatments ◽  
Vascular Perfusion ◽  
Metabolic Derangement ◽  
Doppler Flowmetry ◽  
Innovative Therapy ◽  
Minimal Damage ◽  
Study Support

The increased precision, efficacy, and safety of radiation brachytherapy has tremendously improved its popularity in cancer care. However, an unfortunate side effect of this therapy involves localized skin damage and breakdown that are managed palliatively currently. This study was motivated by prior reports on the efficacy of photobiomodulation (PBM) therapy in improving tissue resilience and wound healing. We evaluated the efficacy of PBM therapy on 36 athymic mice with 125I seed (0.42 mCi) implantation over 60 days. PBM treatments were performed with either red (660 nm) or near-infrared (880 nm, NIR) LEDs irradiance of 40 mW/cm2, continuous wave, fluence of 20 J/cm2 once per week. Animals were evaluated every 7 days with digital imaging, laser Doppler flowmetry, thermal imaging, µPET-CT imaging using 18F-FDG, and histology. We observed that both PBM treatments—red and NIR—demonstrated significantly less incidence and severity and improved healing with skin radionecrosis. Radiation exposed tissues had improved functional parameters such as vascular perfusion, reduced inflammation, and metabolic derangement following PBM therapy. Histological analysis confirmed these observations with minimal damage and resolution in tissues exposed to radiation. To our knowledge, this is the first report on the successful use of PBM therapy for brachytherapy. The results from this study support future mechanistic lab studies and controlled human clinical studies to utilize this innovative therapy in managing side effects from radiation cancer treatments.

Skin damage thresholds with continuous-wave laser exposures at near infrared wavelengths

2011 ◽  
Author(s):  
Jeffrey W. Oliver ◽  
Corey A. Harbert ◽  
Harvey M. Hodnett ◽  
Gary D. Noojin ◽  
Kurt J. Schuster ◽  
...  
Keyword(s):  
Near Infrared ◽  
Continuous Wave ◽  
Continuous Wave Laser ◽  
Skin Damage ◽  
Infrared Wavelengths ◽  
Wave Laser

scholarly journals A Multichannel fNIRS System for Prefrontal Mental Task Classification with Dual-level Excitation and Deep Forest Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Cheng Chen ◽  
Yizhen Wen ◽  
Shaoyang Cui ◽  
Xiangao Qi ◽  
Zhenhong Liu ◽  
...  
Keyword(s):  
Near Infrared ◽  
Continuous Wave ◽  
Mental Arithmetic ◽  
Digit Span ◽  
Structural Features ◽  
Cortical Activation ◽  
Semantic Task ◽  
High Classification Accuracy ◽  
Task Classification ◽  
Deep Forest

This paper presents a multichannel functional continuous-wave near-infrared spectroscopy (fNIRS) system, which collects data under a dual-level light intensity mode to optimize SNR for channels with multiple source-detector separations. This system is applied to classify different cortical activation states of the prefrontal cortex (PFC). Mental arithmetic, digit span, semantic task, and rest state were selected as four mental tasks. A deep forest algorithm is employed to achieve high classification accuracy. By employing multigrained scanning to fNIRS data, this system can extract the structural features and result in higher performance. The proposed system with proper optimization can achieve 86.9% accuracy on the self-built dataset, which is the highest result compared to the existing systems.

Laser therapy applications for osteoarthritis and chronic joint pain – A randomized placebo-controlled clinical trial

2012 ◽  
Vol 1 (4) ◽  
Author(s):  
Nelson Marquina ◽  
Roger Dumoulin-White ◽  
Arkady Mandel ◽  
Lothar Lilge
Keyword(s):  
Clinical Trial ◽  
Near Infrared ◽  
Continuous Wave ◽  
Laser System ◽  
Laser Diodes ◽  
Average Power ◽  
Evaluation Criteria ◽  
Adjunctive Treatment ◽  
Controlled Clinical Trial ◽  
Primary Evaluation

AbstractA randomized placebo-controlled clinical trial to evaluate an adjunctive treatment modality for pain associated with knee disorders was conducted utilizing a therapeutic laser system (low energy, non-surgical).The therapeutic laser system utilized a dual wavelength, multiple diode laser cluster probe with five super-pulsed 905 nm near-infrared (NIR) laser diodes, each emitting at 40 mW average power and four continuous wave 660 nm visible (VIS) red laser diodes, each emitting at 25 mW. It was used as an adjunctive modality providing 12 treatments, three times a week to a homogeneous patient population (n=126), in combination with standardized chiropractic techniques, to evaluate effectiveness on subjects presenting with osteoarthritis and knee pain. The primary endpoint was measured by the visual analog scale (VAS) to assess pain levels on a scale of 0–10. The success criteria for an individual patient in this study were identified as an improvement of 30% or more in the VAS from baseline to 12th treatment and/or an improvement of 20% or more in the VAS from baseline to 30-day follow-up evaluation.The data obtained in the study demonstrated that the present therapeutic laser system provided significant pain relief and osteoarthritic improvements in all primary evaluation criteria, with a statistical and clinical significance of

Quasi-Continuous Wave Near-Infrared Excitation of Upconversion Nanoparticles for Optogenetic Manipulation ofC. elegans

Small ◽  
2016 ◽  
Vol 12 (13) ◽  
pp. 1732-1743 ◽  
Author(s):  
Akshaya Bansal ◽  
Haichun Liu ◽  
Muthu Kumara Gnanasammandhan Jayakumar ◽  
Stefan Andersson-Engels ◽  
Yong Zhang
Keyword(s):  
Near Infrared ◽  
Continuous Wave ◽  
Upconversion Nanoparticles ◽  
Infrared Excitation

High-power, continuous-wave, single-frequency, all-periodically-poled, near-infrared source

2012 ◽  
Vol 37 (24) ◽  
pp. 5049 ◽  
Author(s):  
Kavita Devi ◽  
S. Chaitanya Kumar ◽  
M. Ebrahim-Zadeh
Keyword(s):  
High Power ◽  
Near Infrared ◽  
Continuous Wave ◽  
Single Frequency ◽  
Periodically Poled ◽  
Infrared Source

Continuous wave near-infrared phonon-assisted upconversion in single Nd3+-doped yttria nanoparticles

2017 ◽  
Vol 192 ◽  
pp. 963-968 ◽  
Author(s):  
K.C. Camargo ◽  
R.R. Pereira ◽  
L.F. dos Santos ◽  
S.R. de Oliveira ◽  
R.R. Gonçalves ◽  
...  
Keyword(s):  
Near Infrared ◽  
Continuous Wave

scholarly journals Analysis of Different Classification Techniques for Two-Class Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Noman Naseer ◽  
Nauman Khalid Qureshi ◽  
Farzan Majeed Noori ◽  
Keum-Shik Hong
Keyword(s):  
Infrared Spectroscopy ◽  
Discriminant Analysis ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Continuous Wave ◽  
Mental Arithmetic ◽  
Statistical Significance ◽  
Support Vector ◽  
Functional Near Infrared Spectroscopy ◽  
Linear Discriminant

We analyse and compare the classification accuracies of six different classifiers for a two-class mental task (mental arithmetic and rest) using functional near-infrared spectroscopy (fNIRS) signals. The signals of the mental arithmetic and rest tasks from the prefrontal cortex region of the brain for seven healthy subjects were acquired using a multichannel continuous-wave imaging system. After removal of the physiological noises, six features were extracted from the oxygenated hemoglobin (HbO) signals. Two- and three-dimensional combinations of those features were used for classification of mental tasks. In the classification, six different modalities, linear discriminant analysis (LDA), quadratic discriminant analysis (QDA),k-nearest neighbour (kNN), the Naïve Bayes approach, support vector machine (SVM), and artificial neural networks (ANN), were utilized. With these classifiers, the average classification accuracies among the seven subjects for the 2- and 3-dimensional combinations of features were 71.6, 90.0, 69.7, 89.8, 89.5, and 91.4% and 79.6, 95.2, 64.5, 94.8, 95.2, and 96.3%, respectively. ANN showed the maximum classification accuracies: 91.4 and 96.3%. In order to validate the results, a statistical significance test was performed, which confirmed that thepvalues were statistically significant relative to all of the other classifiers (p< 0.005) using HbO signals.

scholarly journals Porcine skin damage thresholds for 0.6 to 9.5 cm beam diameters from 1070-nm continuous-wave infrared laser radiation

2014 ◽  
Vol 19 (03) ◽  
pp. 1 ◽  
Author(s):  
Rebecca L. Vincelette ◽  
Gary D. Noojin ◽  
Corey A. Harbert ◽  
Kurt J. Schuster ◽  
Aurora D. Shingledecker ◽  
...  
Keyword(s):  
Laser Radiation ◽  
Continuous Wave ◽  
Infrared Laser ◽  
Skin Damage ◽  
Porcine Skin

CLASSIFICATION OF SCHIZOPHRENIA USING SVM VIA fNIRS

2018 ◽  
Vol 30 (02) ◽  
pp. 1850008 ◽  
Author(s):  
Mehrdad Dadgostar ◽  
Seyed Kamaledin Setarehdan ◽  
Sohrab Shahzadi ◽  
Ata Akin
Keyword(s):  
Mental Disorder ◽  
Optical Imaging ◽  
Near Infrared ◽  
Continuous Wave ◽  
Support Vector ◽  
Functional Near Infrared Spectroscopy ◽  
Neural Activities ◽  
Preliminary Examination ◽  
Invasive Method

In the present study, a classification of functional near-infrared spectroscopy (fNIRS) based on support vector machine (SVM) is presented. It is a non-invasive method monitoring human brain function by evaluating the concentration variation of oxy-hemoglobin and deoxy-hemoglobin. fNIRS is a functional optical imaging technology that measures the neural activities and hemodynamic responses in brain. The data were gathered from 11 healthy volunteers and 16 schizophrenia of the same average age by a 16-channel fNIRS (NIROXCOPE 301 system developed at the Neuro-Optical Imaging Laboratory, continuous-wave dual wavelength). Schizophrenia is a mental disorder that is characterized by mental processing collapse and weak emotional responses. This mental disorder is usually accompanied by a serious disturbance in social and occupational activities. The signals were initially preprocessed by DWT to remove any systemic physiological impediment. A preliminary examination by the genetic algorithm (GA) suggested that some channels of the recreated fNIRS signals required further investigation. The energy of these recreated channel signals was computed and utilized for signal arrangement. We used SVM-based classifier to determine the cases of schizophrenia. The result of six channels is higher than 16 channels. The results demonstrated a classification precision of about 87% in the discovery of schizophrenia in the healthy subjects.

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