Multispectral imaging approach in the diagnosis of cutaneous melanoma: potentiality and limits

Farina, B.; Bartoli, Cesare; Bono, Aldo; Colombo, Ambrogio; Lualdi, Manuela; Tragni, Gabrina; Marchesini, Renato

doi:10.1088/0031-9155/45/5/312

Cited by 68 publications

(63 citation statements)

References 25 publications

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“…A clinical study by an Australian group found that the biopsy ratios for general practitioners ranged from 82:1 for young patients to 10:1 for older patients. The biopsy ratio appears to be substantially reduced with the use of newer technologies such as dermoscopy, surface microscopy, and multispectral imaging (28,(30)(31)(32)(33)(34)(35)(36)(37)(38). Westerhoff and colleagues found that the accuracy of melanoma diagnosis could be improved from 63% to 76% with the aid of surface microscopy (30).…”

Section: Discussionmentioning

confidence: 99%

Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis

et al. 2012

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Raman spectroscopy is a noninvasive optical technique capable of measuring vibrational modes of biomolecules within viable tissues. In this study, we evaluated the application of an integrated real-time system of Raman spectroscopy for in vivo skin cancer diagnosis. Benign and malignant skin lesions (n ¼ 518) from 453 patients were measured within 1 second each, including melanomas, basal cell carcinomas, squamous cell carcinomas, actinic keratoses, atypical nevi, melanocytic nevi, blue nevi, and seborrheic keratoses. Lesion classification was made using a principal component with general discriminant analysis and partial least-squares in three distinct discrimination tasks: skin cancers and precancers from benign skin lesions [receiver operating characteristic (ROC) ¼ 0.879]; melanomas from nonmelanoma pigmented lesions (ROC ¼ 0.823); and melanomas from seborrheic keratoses (ROC ¼ 0.898). For sensitivities between 95% and 99%, the specificities ranged between 15% and 54%. Our findings establish that real-time Raman spectroscopy can be used to distinguish malignant from benign skin lesions with good diagnostic accuracy comparable with clinical examination and other opticalbased methods. Cancer Res; 72(10); 2491-500. Ó2012 AACR.

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Section: Discussionmentioning

confidence: 99%

Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis

et al. 2012

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“…More recently wavelength-dependent reflectance images of skin have been obtained. 57 Both light that entered the tissue and was scattered back to the surface as well as reflection off the tissue surface were measured, making interpretation of the multispectral images difficult. A recent study by V.P.…”

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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“…[9][10][11][12] Images using various spectral bands from 420 to 1040 nm to enhance the ABCD criteria has been shown to improve the accuracy of detecting melanoma. [13][14][15] In our series for this purpose 47 pigmented lesions of thirty-nine patients were evaluated.…”

Section: Discussionmentioning

confidence: 99%

Infrared Imaging in Diagnosis of Dysplastic Nevi and Malignant Melanoma

Engın¹,

Keçici²,

Yılmaz³

et al. 2016

Turkiye Klinikleri J Med Sci

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A AB BS ST TR RA AC CT T O Ob bj je ec ct ti iv ve e: : The aim of this study is to handle the subjectivity of clinical observations in the diagnosis of dysplastic nevi and malignant melanoma, by using an alternative spectrophotometric method to simple dermatoscopic examination. M Ma at te er ri ia al l a an nd d M Me et th ho od ds s: : Images taken by CCD (Charge-coupled Device) camera with a 1280x1024 pixel resolution which is capable of taking snapshot images between 400-1000 nm wavelengths were converted to 2048x2560 size data and were subjected to digital image processing. For each lesion, three different images were captured at selected infrared wavelenghts of 770 nm, 810 nm, 850 nm and one image with visible light. Risk score analysis of the digital image processing was carried out on two main parameters. One is surface area risk score (SAR) and the other is pixel intensity risk score (PIR). The same lesions are also evaluated dermatoscopically and ABCD scores of each lesion were calculated. R Re es su ul lt ts s: : Thirty nine patients with 47 pigmented lesions were included in the study. When all the statistical data were put together, positive correlation with ABCD scores is stronger for the images at 770 nm than the ones with 810 nm. Also when we consider all parameters which have been studied separately, the most meaningful correlation with ABCD scores was shown by "total surface area risk score". C Co on nc cl lu u--s si io on n: : Wavelengths of 770 nm and 850 nm seem to be optimal in terms of correlating with ABCD scores of the lesions. Also we need to determine the optimum wavelength range for the accurate diagnosis of melanocytic lesions.K Ke ey y W Wo or rd ds s: : Melanoma; nevus Ö ÖZ ZE ET T A Am ma aç ç: : Bu çalışmanın amacı displastik nevus ve malign melanom tanısında ilk basamak olan rutin dermatoskopinin yerine alternatif spektrofotometrik yöntemler kullanılarak klinik gözlem-lerdeki subjektifliği (öznelliği) azaltmaktır. G Ge er re eç ç v ve e Y Yö ön nt te em ml le er r: : 400-1000 nm arasında görüntü kaydedebilen ve 1280x1024 piksel çözünürlükte çekim yapan CCD (Charge-coupled Device) kamera ile elde edilen görüntüler, 2048x2560 büyüklükte dataya çevrilmiş ve dijital görüntüleme işlemlerine tabi tutulmuştur. Her lezyon için 770 nm, 810 nm ve 850 nm dalga boylarında ve görünür ışıkta olmak üzere dört farklı resim çekilmiştir. Dijital görüntüleme işlemleri sırasında risk skor analizleri iki parametreye göre yapılmıştır; yüzey alanı risk skoru (SAR) ve piksel yoğunluk risk skoru (PIR). Her lezyon için dermatoskopik inceleme de yapılmış ve ABCD skorları hesaplanmıştır. B Bu ul lg gu ul la ar r: : Çalışmaya toplamda 47 pigmente lezyona sahip 39 hasta dahil edilmiştir. İstatistik analizler sonucunda, kızılötesi görüntülerle ABCD skorları arasındaki ilişki 770 nm'de 810 nm'ye göre daha kuvvetli olarak saptanmıştır. Yine çalışılan tüm parametrelere bakıldığında, ABCD skoruyla "total yüzey alan risk skoru" arasındaki ilişki en yüksek bulunmuştur. S So on nu uç ç: : Lezyonların ABCD skorları 7...

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Multispectral imaging approach in the diagnosis of cutaneous melanoma: potentiality and limits

Cited by 68 publications

References 25 publications

Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis

Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis

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

Infrared Imaging in Diagnosis of Dysplastic Nevi and Malignant Melanoma

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