Raman spectroscopy studies for diagnosis of cancers in human uterine cervix

Krishna, C. Murali; Prathima, N. B.; Malini, R.; Vadhiraja, BM; Bhatt, Rani A.; Fernandes, Donald J; Kushtagi, Pralhad; Vidyasagar, M S; Kartha, V. B.

doi:10.1016/j.vibspec.2006.01.011

Cited by 94 publications

(94 citation statements)

References 26 publications

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“…32 Theory, method of calculation and advantages of above parameters for discrimination purpose are discussed elsewhere. 13,18,27,33,34 This approach of analysis has several advantages over unsupervised PCA. In this approach, once standard sets are developed for each class, pretreated spectra can be compared against all the available standard sets to compute scores of factor, Mahalanobis distance and spectral residuals, unlike unsupervised approach where PCA of entire data is required to compute scores of factor and in turn for diagnosis of each case.…”

Section: Prediction Of Tumor Radioresponse In Cervix Cancers By Ramanmentioning

confidence: 99%

“…[12][13][14][15][16][17][18][19][20][21] 18 In a previous study Raman spectroscopic methods for discrimination of normal and malignant tissues of cervix have been developed. 13 A more recent Raman microspectroscopy study had demonstrated the feasibility of classifying formalin-fixed malignant cervix tissues that were collected before commencement of radiation treatment and 24 h after patient was exposed to 2nd fraction of radiotherapy. 24 However, this study could not correlate spectral variations in terms of tumor radioresponse as all the subjects recruited in the study are found to be of same class, namely, complete response.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of radiotherapy response in cervix cancer by Raman spectroscopy: A pilot study

et al. 2008

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Radiotherapy is the choice of treatment for locally advanced stages of the cervical cancers, one of the leading female cancers. Because of intrinsic factors, tumors of same clinical stage and histological type often exhibit differential radioresponse. Radiotherapy regimen, from first fraction of treatment to clinical evaluation of response, spans more than 4 months. Clinical assessment by degree of tumor shrinkage is the only routinely practiced method to evaluate the tumor response. Hence, a need is created for development new methodologies that can predict the tumor response to radiotherapy at an early stage of the treatment which can lead to tailor-made protocols. To explore the feasibility of prediction of tumor radioresponse, Raman spectra of cervix cancer tissues that were collected before (malignant) and 24 h after patient was treated with 2nd fraction of radiotherapy (RT) were recorded. Data were analyzed by Principal Components Analysis (PCA) and results were correlated with clinical evaluation of radioresponse. Mean Raman spectra of RT tissues corresponding to different levels of tumor response, complete, partial, and no response, showed minute but significant variations. The unsupervised PCA of malignant tissues failed to provide any classification whereas RT spectra gave clear classification between responding (complete and partial response) and nonresponding conditions as well as a tendency of separation among responding conditions. These results were corroborated by supervised classification, by means of discrimination parameters: Mahalanobis distance and spectral residuals. Thus, findings of the study suggest the feasibility of Raman spectroscopic prediction of tumor radioresponse in cervical cancers.

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Section: Prediction Of Tumor Radioresponse In Cervix Cancers By Ramanmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of radiotherapy response in cervix cancer by Raman spectroscopy: A pilot study

et al. 2008

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“…Thus, significant progress has been made in near-infrared spectroscopic imaging of tissues. [5][6][7][8][9][10][11][12][13][14][15][16][17][18] On the other hand, light scattering methods operate on the assumption that subtle tissue morphological modifications induced by cancer onset and development are accompanied by changes in the scattering properties and, thus, offer a noninvasive window into pathology. [19][20][21][22][23][24][25][26][27] Despite these promising efforts, light scattering-based techniques currently have limited use in the clinic.…”

Section: Introductionmentioning

confidence: 99%

Tissue refractive index as marker of disease

et al. 2011

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Abstract. The gold standard in histopathology relies on manual investigation of stained tissue biopsies. A sensitive and quantitative method for in situ tissue specimen inspection is highly desirable, as it would allow early disease diagnosis and automatic screening. Here we demonstrate that quantitative phase imaging of entire unstained biopsies has the potential to fulfill this requirement. Our data indicates that the refractive index distribution of histopathology slides, which contains information about the molecular scale organization of tissue, reveals prostate tumors and breast calcifications. These optical maps report on subtle, nanoscale morphological properties of tissues and cells that cannot be recovered by common stains, including hematoxylin and eosin. We found that cancer progression significantly alters the tissue organization, as exhibited by consistently higher refractive index variance in prostate tumors versus normal regions. Furthermore, using the quantitative phase information, we obtained the spatially resolved scattering mean free path and anisotropy factor g for entire biopsies and demonstrated their direct correlation with tumor presence. In essence, our results show that the tissue refractive index reports on the nanoscale tissue architecture and, in principle, can be used as an intrinsic marker for cancer diagnosis. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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“…14 Although Raman spectroscopy is inherently a sensitive technique, previous studies using Raman to detect cervical dysplasia both in vivo and in vitro have reported a wide range of sensitivity (70-100%) and specificity (70-100%) rates. 1,[15][16][17][18][19] Krishna et al used a benchtop Raman spectroscopy system to acquire information from cervical samples ex vivo and classified normal compared to malignant samples at sensitivity and specificity rates of 75-99.5%. 19 Because infection with certain strains of human papillomavirus (HPV) is the cause of cervical dysplasia in >99% of cases worldwide, [20][21][22] certain research groups have used Raman spectroscopy to identify differences between HPV types.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of Raman spectroscopy to normal patient variability

et al. 2011

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Abstract. Many groups have used Raman spectroscopy for diagnosing cervical dysplasia; however, there have been few studies looking at the effect of normal physiological variations on Raman spectra. We assess four patient variables that may affect normal Raman spectra: Race/ethnicity, body mass index (BMI), parity, and socioeconomic status. Raman spectra were acquired from a diverse population of 75 patients undergoing routine screening for cervical dysplasia. Classification of Raman spectra from patients with a normal cervix is performed using sparse multinomial logistic regression (SMLR) to determine if any of these variables has a significant effect. Results suggest that BMI and parity have the greatest impact, whereas race/ethnicity and socioeconomic status have a limited effect. Incorporating BMI and obstetric history into classification algorithms may increase sensitivity and specificity rates of disease classification using Raman spectroscopy. Studies are underway to assess the effect of these variables on disease. C©2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3646210

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Raman spectroscopy studies for diagnosis of cancers in human uterine cervix

Cited by 94 publications

References 26 publications

Prediction of radiotherapy response in cervix cancer by Raman spectroscopy: A pilot study

Prediction of radiotherapy response in cervix cancer by Raman spectroscopy: A pilot study

Tissue refractive index as marker of disease

Sensitivity of Raman spectroscopy to normal patient variability

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