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(searched for: doi:10.4103/0973-1482.39602)
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Oz Seadia, Dalit Landesman-Milo, Tania Kosoburd, Nino Oren, Levana Sherman, Abraham Yaniv, Ilan Landesman, Seadia Oz, Landesman-Milo Dalit, Kosoburd Tania, et al.
Published: 16 October 2018
Journal: Applied Optics
Applied Optics, Volume 57, pp 8964-8970;

Cervical cancer is a type of slow-growing cancer associated with high mortality rates. Early detection can enable lifesaving early intervention. Current cervical premalignant lesion detection methods suffer from both high miss rates and excessive referrals for unnecessary biopsies. Herein, coherent light backscatter and modifications in reflected white-light spectra were measured to specifically discriminate between cervical tumors and normal squamous epithelial tissues resected from a mouse xenograft model. The combined measurements resulted in 92% sensitivity and 93% specificity in discrimination between the two tissues. These methods can be used to develop a noninvasive portable optical probe for sensitive and objective detection of precancer and cancer epithelial lesions in the cervix and other accessible epithelial tissues.
Vitoria Helena Maciel, , , Vanderlei Salvador Bagnato,
Published: 1 September 2017
Photodiagnosis and Photodynamic Therapy, Volume 19, pp 45-50;

The mean ratios of FI values at selected wavelengths of emission (FI/FI) were significantly lower in BCC and PS lesions compared to EXP [P=0.0001; P=0.0002, respectively]; but there were no significant differences between abnormal conditions. The analysis of fluorescence spectra using k-NN can discriminate normal or abnormal skin conditions (EXP, BCC, BD, PS) of distinctive etiology, neoplastic or inflammatory (BCC, BD and PS) and morphologies (nodular and superficial BCC, BD and PS) as high as 88% and 93% sensitivity and specificity means, respectively; also, similar erythematous-squamous features (superficial BCC, BD and PS) with 98% and 97% sensitivity and specificity means, respectively. The k-NN computational analysis appears to be a promising approach to distinguish skin disorders.
, M. V. Belkov, I. V. Skornyakov, V. I. Pekhnyo, A. N. Kozachkova, H. V. Tsarik, I. P. Kutsenko, N. I. Sharykina, V. A. Butra, Oleksandra Kozachkova
Published: 14 January 2015
Journal of Applied Spectroscopy, Volume 81, pp 1012-1018;

The publisher has not yet granted permission to display this abstract.
, M. V. Bel’Kov, I. V. Skornyakov, V. I. Pekhn’O, A. N. Kozachkova, N. V. Tsarik, I. P. Kutsenko, N. I. Sharykina, Oleksandra Kozachkova
Published: 14 November 2014
Optics and Spectroscopy, Volume 117, pp 850-854;

FTIR spectroscopy is used to study mammary-gland tissues of mice with a sarcoma tumor (strain 180). Spectral features that are typical of malignant tumors are revealed in the FTIR spectra in the sarcoma-tumor tissues. Tumor tissues are studied after treatment using coordination compounds based on palladium complexes with 3-amino-1-hydroxypropylidene-1,1-diphosphonic acid and zoledronic acid. A therapeutic effect is not revealed after treatment using palladium complex with 3-amino-1-hydroxypropylidene-1,1-diphosphonic acid. The suppression of tumor growth amounts to 59% when palladium complexes with zoledronic acid are used. Suppression of tumor growth is accompanied by variations in spectral characteristics. With respect to diagnostic features, the FTIR spectra of tumor tissues after treatment with the palladium complexes with zoledronic acid are similar to the FTIR spectra of tissues that are free of malignant tumors. Specific spectroscopic characteristics that make it possible to control the chemotherapy of oncological pathologies are determined.
, M. V. Bel’Kov, I. V. Skornyakov, V. A. Butra, V. I. Pekhnyo, Oleksandra Kozachkova, N. I. Tsarik, I. P. Kutsenko, N. I. Sharykina
Published: 27 July 2014
Journal of Applied Spectroscopy, Volume 81, pp 463-469;

The publisher has not yet granted permission to display this abstract.
Manoharan Yuvaraj, , Vadivel Jayanth, Aruna Prakasa Rao, Ganesan Bharanidharan, Dornadula Koteeswaran, Balu David Munusamy, , Singaravelu Ganesan
Journal of Photochemistry and Photobiology B: Biology, Volume 130, pp 153-160;

Xiaoqing Zhang, , Cyril Gobinet, Valérie Untereiner, Imane Taleb, Brigitte Bernard-Chabert, Alexandra Heurgué, Caroline Truntzer, Patrick Ducoroy, Patrick Hillon, et al.
Published: 1 November 2013
Translational Research, Volume 162, pp 279-286;

Identification of novel serum biomarkers of hepatocellular carcinoma (HCC) is needed for early-stage disease detection and to improve patients' survival. The aim of this study was to evaluate the potential of serum Fourier transform infrared (FTIR) spectroscopy for differentiating sera from cirrhotic patients with and without HCC. Serum samples were collected from 2 sets of patients: cirrhotic patients with HCC (n = 39) and without HCC (n = 40). The FTIR spectra (10 per sample) were acquired in the transmission mode, and data homogeneity was tested by cluster analysis to exclude outliers. After data preprocessing by extended multiplicative signal correction and principal component analysis, the Support Vector Machine (SVM) method was applied using a leave-one-out cross-validation algorithm to classify the spectra into 2 classes of cirrhotic patients with and without HCC. When SVM was applied to all spectra (n = 790), the sensitivity and the specificity for the diagnosis of HCC were, respectively, 82.02% and 82.5%. When applied to the subset of spectra excluding the outliers (n = 739), SVM classification led to a sensitivity and specificity of 87.18% and 85%, respectively. Using median spectra for each patient instead of all replicates, the sensitivity and specificity were 84.62% and 82.50%, respectively. The overall accuracy rate was 82%-86%. In conclusion, this study suggests that FTIR spectroscopy combined with advanced methods of pattern analysis shows potential for differentiating sera from cirrhotic patients with and without HCC.
, Bhw Hendriks, Gw Lucassen, Tjm Ruers
Published: 1 March 2012
Journal: Future Oncology
Future Oncology, Volume 8, pp 307-320;

Optical spectroscopy (OS) is a tissue-sensing technique that could enhance cancer diagnosis and treatment in the near future. With OS, tissue is illuminated with a selected light spectrum. Different tissue types can be distinguished from each other based on specific changes in the reflected light spectrum that are a result of differences on a molecular level between compared tissues. Therefore, OS has the potential to become an important optical tool for cancer diagnosis and treatment monitoring. In recent years, significant progress has been made in the discriminating abilities of OS techniques between normal and cancer tissues of multiple human tissue types. This article provides an overview of the advances made with diffuse reflectance, fluorescence and Raman spectroscopy techniques in the field of clinical oncology, and focuses on the different clinical applications that OS could enhance.
Published: 1 January 2012
Journal of Biomedical Optics, Volume 17;

Abstract. Wound care and management accounted for over 1.8 million hospital discharges in 2009. The complex nature of wound physiology involves hundreds of overlapping processes that we have only begun to understand over the past three decades. The management of wounds remains a significant challenge for inexperienced clinicians. The ensuing inflammatory response ultimately dictates the pace of wound healing and tissue regeneration. Consequently, the eventual timing of wound closure or definitive coverage is often subjective. Some wounds fail to close, or dehisce, despite the use and application of novel wound-specific treatment modalities. An understanding of the molecular environment of acute and chronic wounds throughout the wound-healing process can provide valuable insight into the mechanisms associated with the patient’s outcome. Pathologic alterations of wounds are accompanied by fundamental changes in the molecular environment that can be analyzed by vibrational spectroscopy. Vibrational spectroscopy, specifically Raman and Fourier transform infrared spectroscopy, offers the capability to accurately detect and identify the various molecules that compose the extracellular matrix during wound healing in their native state. The identified changes might provide the objective markers of wound healing, which can then be integrated with clinical characteristics to guide the management of wounds.
Naiyan Huang, Michael Short, Jianhua Zhao, Hequn Wang, Harvey Lui, Mladen Korbelik,
Published: 27 October 2011
Journal: Optics Express
Optics Express, Volume 19, pp 22892-22909;

Raman spectroscopy is a minimally-invasive optical technique with great potential for in vivo cancer detection and disease diagnosis. However, there is no systematic study of the Raman spectra from different organs to date. We measured and characterized the Raman spectra eighteen naïve mouse organs in a broad frequency range of 700 to 3100 cm−1. The peaks of generic proteins and lipids appeared in Raman spectra of all organs. Some organs like bone, teeth, brain and lung had unique Raman peaks. The autofluorescence was strong in liver, spleen, heart, and kidney. These results suggest that organ specific Raman probe design and specific data processing strategies are required in order to get the most useful information.
Elodie Scaglia, Ganesh D. Sockalingum, Juergen Schmitt, Cyril Gobinet, Nathalie Schneider, Michel Manfait,
Published: 20 September 2011
Analytical and Bioanalytical Chemistry, Volume 401, pp 2919-2925;

The publisher has not yet granted permission to display this abstract.
World Journal of Clinical Oncology, Volume 2, pp 50-63;

Optical spectroscopy has been intensively studied for cancer management in the past two decades. This review paper first introduces the background of optical spectroscopy for cancer management, which includes the advantages of optical techniques compared to other established techniques, the principle of optical spectroscopy and the typical setup of instrumentation. Then the recent progress in optical spectroscopy for cancer diagnosis in the following organs is reviewed: the brain, breast, cervix, lung, stomach, colon, prostate and the skin. Reviewed papers were selected from the PubMed database with keywords combining the terms of individual optical spectroscopy techniques and cancers. The primary focus is on the in vivo applications of optical spectroscopy in clinical studies. Ex vivo studies are also included for some organs to highlight special applications or when there are few in vivo results in the literature. Practical considerations of applying optical spectroscopy in clinical settings such as the speed, cost, complexity of operation, accuracy and clinical value are discussed. A few commercially available clinical instruments that are based on optical spectroscopy techniques are presented. Finally several technical challenges and standard issues are discussed and firm conclusions are made.
Lori E. Kamemoto, Anupam K. Misra, , Marc T. Goodman, Hugh Luk, Ava C. Dykes, Tayro Acosta
Published: 1 March 2010
Applied Spectroscopy, Volume 64, pp 255-261;

Near-infrared Raman spectroscopy is a powerful analytical tool for detecting critical differences in biological samples with minimum interference in the Raman spectra from the native fluorescence of the samples. The technique is often suggested as a potential screening tool for cancer. In this article we report in vitro Raman spectra of squamous cells in normal and cancerous cervical human tissue from seven patients, which have good signal-to-noise ratio and which were found to be reproducible. These preliminary results show that several Raman features in these spectra could be used to distinguish cancerous cervical squamous cells from normal cervical squamous cells. In general, the Raman spectra of cervical cancer cells show intensity differences compared to those of normal squamous cell spectra. For example, several well-defined Raman peaks of collagen in the 775 to 975 cm−1 region are observed in the case of normal squamous cells, but these are below the detection limit of normal Raman spectroscopy in the spectra of invasive cervical cancer cells. In the high frequency 2800 to 3100 cm−1 region, it is found that the peak area under the CH stretching band is lower by a factor of approximately six in the spectra of cervical cancer cells as compared with that of the normal cells. The Raman chemical maps of regions of cancer and normal cells in the cervical epithelium made from the spectral features in the 775 to 975 cm−1 and 2800 to 3100 cm−1 regions are also found to show good correlation with each other.
E. Bogomolny, , A. Zwielly,
Published: 5 June 2009
European Biophysics Journal, Volume 38, pp 971-980;

The publisher has not yet granted permission to display this abstract.
K. Kalyan Kumar, M. V. P. Chowdary, Stanley Mathew, Lakshmi Rao, , Jacob Kurien
Published: 11 May 2009
Journal of Biophotonics, Volume 2, pp 313-321;

The publisher has not yet granted permission to display this abstract.
M.V.P. Chowdary, , K. Kalyan Kumar, Stanley Mathew, Lakshmi Rao, C. Murali Krishna, Jacob Kurien
Published: 1 April 2009
Photomedicine and Laser Surgery, Volume 27, pp 241-252;

Objective: We evaluated different discriminating algorithms for classifying laser-induced fluorescence spectra of normal, benign, and malignant breast tissues that were obtained with 325-nm excitation. Background Data: Mammography and histopathology are the conventional gold standard methods of screening and diagnosis of breast cancers, respectively. The former is prone to a high rate of false-positive results and poses the risk of repeated exposure to ionizing radiation, whereas the latter suffers from subjective interpretations of morphological features. Thus the development of a more reliable detection and screening methodology is of great interest to those practicing breast cancer management. Several studies have demonstrated the efficacy of optical spectroscopy in diagnosing cancer and other biomedical applications. Materials and Methods: Autofluorescence spectra of normal, benign, and malignant breast tissues, with 325-nm excitation, were recorded. The data were subjected to diverse discriminating algorithms ranging from intensities and ratios of curve-resolved bands to principal components analysis (PCA)-derived parameters. Results: Intensity plots of collagen and NADPH, two known fluorescent biomarkers, yielded accurate classification of the different tissue types. PCA was carried out on both unsupervised and supervised methods, and both approaches yielded accurate classification. In the case of the supervised classification, the developed standard sets were verified and evaluated. The limit test approach provided unambiguous and objective classification, and this method also has the advantage of being user-friendly, so untrained personnel can directly compare unknown spectra against standard sets to make diagnoses instantly, objectively, and unambiguously. Conclusion: The results obtained in this study further support the efficacy of 325-nm-induced autofluorescence, and demonstrate the suitability of limit test analysis as a means of objectively and unambiguously classifying breast tissues.
M. V. P. Chowdary, K. Kalyan Kumar, Stanley Mathew, Lakshmi Rao, , Jacob Kurien
Published: 18 February 2009
Journal: Biopolymers
Biopolymers, Volume 91, pp 539-546;

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