Identification of cervical intraepithelial neoplasia (CIN) using UV‐excited fluorescence and diffuse‐reflectance tissue spectroscopy

Nordstrom, Robert J.; Burke, Louis; Niloff, Jonathan M.; Myrtle, James F.

doi:10.1002/lsm.1097

Cited by 109 publications

(69 citation statements)

References 28 publications

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“…2,25,[31][32][33][34] The reasons for this complexity can be as follows. In general, tumors as well as benign and dysplastic lesions can be of various degrees of keratinization, hyperplasia, and blood content.…”

Section: Discussionmentioning

confidence: 99%

Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy

et al. 2004

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Abstract. Autofluorescence spectroscopy shows promising results for detection and staging of oral (pre-)malignancies. To improve staging reliability, we develop and compare algorithms for lesion classification. Furthermore, we examine the potential for detecting invisible tissue alterations. Autofluorescence spectra are recorded at six excitation wavelengths from 172 benign, dysplastic, and cancerous lesions and from 97 healthy volunteers. We apply principal components analysis (PCA), artificial neural networks, and red/green intensity ratio's to separate benign from (pre-)malignant lesions, using four normalization techniques. To assess the potential for detecting invisible tissue alterations, we compare PC scores of healthy mucosa and surroundings/contralateral positions of lesions. The spectra show large variations in shape and intensity within each lesion group. Intensities and PC score distributions demonstrate large overlap between benign and (pre-)malignant lesions. The receiver-operator characteristic areas under the curve (ROC-AUCs) for distinguishing cancerous from healthy tissue are excellent (0.90 to 0.97).

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Section: Discussionmentioning

confidence: 99%

Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy

et al. 2004

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“…45 Nordstrom et al combined diffusely reflected scattering spectroscopy and fluorescence to identify the stages of cervical intra-epithelial neoplasia (CIN) in 41 patients. 46 Their measurements used flood illumination in a geometry, which did not block the surface reflectance and consequently caused reduced sensitivity to the spectral differences associated with structural changes. They obtained a predictive sensitivity and specificity of 77% and 76%, respectively, for distinguishing CIN II/III from metaplasia.…”

Section: © 2 0 0 4 L a N D E S B I O S C I E N C E D O N O T D I S mentioning

confidence: 99%

Spectrroscopic Sensing of Cancer and Cancer Therapy: Current Status of Translational Research

Bigio

Bown²

2004

Cancer Biology & Therapy

141

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Various types of optical spectroscopy have been investigated as methods to effect a non-invasive, real-time in-situ assessment of tissue pathology. All of these methods have one basic principle in common: the optical spectrum of a tissue contains information about the biochemical composition and/or the structure of the tissue, and that information conveys diagnostic information. The biochemical information can be obtained by measuring absorption, fluorescence, or Raman scattering signals. Structural and morphological information may be obtained by techniques that assess the elastic-scattering properties of tissue. These basic approaches are useful for the detection of cancer as well as for other diagnostic applications such as hemoglobin saturation, intra-luminal detection of atherosclerosis, and simply the identification of different tissue types during procedures. Optical spectroscopic measurements can also be employed in the management of disease treatment. The site-specific pharmacokinetics of chemotherapy and photodynamic therapy agents can be used to customize dosage to the patient, and diagnostic spectroscopy can be used to monitor response to treatment. In recent years clinical studies have provided indications of potential efficacy, and some of these modalities are now entering a translational research stage, with an eye to approval and commercialization. A benefit of these methods is their inherent low cost and ease of implementation, generally mediated with small portable instruments, not requiring any specialized facilities, and eventually not requiring expert interpretation. This paper reviews briefly the most common methods of diagnostic optical spectroscopy, and reviews in greater depth recent clinical translational research invoking scattering spectroscopy as the enabling technology, which has been the experience of the authors.

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“…[18] Mirabal et al investigated reflectance spectroscopy in the regions from 390 to 590 nm and from 350 to 650 nm to evaluate its potential for diagnosis of cervical tissue conditions in patients with abnormal Pap smears. [19,20] They analyzed the spectral data statistically to extract classifiers for correlating with pathological diagnosis and compared the correlation with that determined with 355 nm-excited fluorescence spectroscopy measurements. It was concluded that fluorescence spectroscopy provided better specificity and sensitivity in the detection of cervical intraepithelial neoplasia.…”

Section: Spectroscopy Measurementsmentioning

confidence: 99%

“…It was concluded that fluorescence spectroscopy provided better specificity and sensitivity in the detection of cervical intraepithelial neoplasia. [19] In vivo measurements of the reflectance spectral data and statistical analysis have been performed in an attempt to detect breast cancers, lesions in ovarian tissues, skin lesions including dysplastic nevi and basal cell carcinomas, and adenomatous colon polyps. [21][22][23][24] Recently, Johnson et al reported the study of spectral reflectance data, between 340 and 900 nm, acquired from 139 cancerous and normal sentinel nodes removed from 68 patients with breast cancers.…”

Section: Spectroscopy Measurementsmentioning

confidence: 99%

Optical Detection of Cancers

Hu¹,

Lu²

2008

Encyclopedia of Biomaterials and Biomedical Engineering, Second Edition - Four Volume Set

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Identification of cervical intraepithelial neoplasia (CIN) using UV‐excited fluorescence and diffuse‐reflectance tissue spectroscopy

Cited by 109 publications

References 28 publications

Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy

Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy

Spectrroscopic Sensing of Cancer and Cancer Therapy: Current Status of Translational Research

Optical Detection of Cancers

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