<i>In vivo</i> SPECTROPHOTOMETRIC EVALUATION OF NEOPLASTIC AND NON‐NEOPLASTIC SKIN PIGMENTED LESIONS. II: DISCRIMINANT ANALYSIS BETWEEN NEVUS AND MELANOMA

Marchesini, Renato; Cascinelli, Natale; Brambilla, M.; Clemente, Claudio; Mascheroni, Luigi; Pignoli, E.; Testori, Alessandro; Venturoli, Daniele

doi:10.1111/j.1751-1097.1992.tb04272.x

Cited by 59 publications

(33 citation statements)

References 6 publications

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“…In studies with a somewhat greater number of patients, Marchesini et al 56 reported measurements of 31 primary melanomas and 31 benign nevi, which were made using a modified integrating sphere with a standard spectrophotometer over the spectral range 420-780 nm. The data were used to develop discriminant functions.…”

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

143

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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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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

143

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“…Diffuse reflectance measurements [6] offer one potential source of optical contrast, and have been applied to detect skin cancer, e.g. [7]. Similarly, spectroscopy and imaging of polarized light have been used to study epithelial tissues [8,9], including those involved in skin pathology [10].…”

Section: Introductionmentioning

confidence: 99%

In vivo measurements of diffuse reflectance and time‐resolved autofluorescence emission spectra of basal cell carcinomas

Thompson

Coda

Sørensen

et al. 2012

Journal of Biophotonics

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Journal of BIOPHOTONICSWe present a clinical investigation of diffuse reflectance and time-resolved autofluorescence spectra of skin cancer with an emphasis on basal cell carcinoma. A total of 25 patients were measured using a compact steady-state diffuse reflectance/fluorescence spectrometer and a fibre-optic-coupled multispectral time-resolved spectrofluorometer. Measurements were performed in vivo prior to surgical excision of the investigated region. Singular value decomposition was used to reduce the dimensionality of steady state diffuse reflectance and fluorescence spectra. Linear discriminant analysis was then applied to the measurements of basal cell carcinomas (BCCs) and used to predict the tissue disease state with a leave-one-out methodology. This approach was able to correctly diagnose 87% of the BCCs. With 445 nm excitation a decrease in the spectrally averaged fluorescence lifetime was observed between normal tissue and BCC lesions with a mean value of 886 ps. Furthermore, the fluorescence lifetime for BCCs was lower than that of the surrounding healthy tissue in all cases and statistical analysis of the data revealed that this decrease was significant (p ¼ 0.002).Schematic diagrams of the two spectrometers showing the steady state spectrometer measurement head (top) and the optical layout of the time-resolved system (bottom).

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“…Their experiments show that the wavelengths between 400 and 800 nm were highly significant to show the differences between the reflectance spectra of benign and malignant melanomas. Consequently, the authors report a discrimination between 31 primary melanoma and 31 benign lesions with a sensitivity of 90.3% and a specificity of 77.4%, a stepwise discriminate analysis of reflectance spectral features [35].…”

Section: State Of the Artmentioning

confidence: 99%

Feasibility Study of Optical Spectroscopy as a Medical Tool for Diagnosis of Skin Lesions

Safi¹,

Ziauddin²,

Horsch³

et al. 2016

ijacsa

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Abstract-Skin cancer is one of the most frequently encountered types of cancer in the Western world. According to the Skin Cancer Foundation Statistics, one in every five Americans develops skin cancer during his/her lifetime. Today, the incurability of advanced cutaneous melanoma raises the importance of its early detection. Since the differentiation of early melanoma from other pigmented skin lesions is not a trivial task, even for experienced dermatologists, computer aided diagnosis could become an important tool for reducing the mortality rate of this highly malignant cancer type.In this paper, a computer aided diagnosis system based on machine learning is proposed in order to support the clinical use of optical spectroscopy for skin lesions quantification and classification. The focuses is on a feasibility study of optical spectroscopy as a medical tool for diagnosis. To this end, data acquisition protocols for optical spectroscopy are defined and detailed analysis of feature vectors is performed. Different techniques for supervised and unsupervised learning are explored on clinical data, collected from patients with malignant and benign skin lesions.

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In vivo SPECTROPHOTOMETRIC EVALUATION OF NEOPLASTIC AND NON‐NEOPLASTIC SKIN PIGMENTED LESIONS. II: DISCRIMINANT ANALYSIS BETWEEN NEVUS AND MELANOMA

Cited by 59 publications

References 6 publications

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

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

In vivo measurements of diffuse reflectance and time‐resolved autofluorescence emission spectra of basal cell carcinomas

Feasibility Study of Optical Spectroscopy as a Medical Tool for Diagnosis of Skin Lesions

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