Diagnosis and Demarcation of Skin Malignancy Using Elastic Light Single-Scattering Spectroscopy: A Pilot Study

Canpolat, Murat; Akman-Karakaş, Ayşe; Gökhan-Ocak, Güzide Ayşe; Başsorgun, İbrahim; Çiftçioğlu, M. Akif; Alpsoy, Erkan

doi:10.1111/j.1524-4725.2011.02174.x

Cited by 24 publications

(10 citation statements)

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“…Therefore, it is specified in the literature that this optical technique could be used as a biomedical tool in discriminating between normal and cancerous tissue [28]. When examining the discrimination accuracy in the published articles which are involving the fiber optic reflectance spectroscopy with different probe geometry, malign versus benign or normal human skin tissues, sensitivity, and specificity values ranged from 77.8 to 95.2% and from 80.1 to 93.3%, respectively [28][29][30]. In these studies, all inflammatory samples had been combined with benign lesions, and there was no discrimination between inflammatory and benign ones.…”

Section: Discussionmentioning

confidence: 99%

Differentiation of skin biopsies by light scattering spectroscopy

Denkçeken

Yıldırım

Atak

et al. 2020

pdia

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Introduction: Spectroscopic systems are medical tools that are used for the detection of cancerous tissues ex vivo and in vivo. Aim: To differentiate inflammatory and benign skin lesions of excised biopsy samples via a combination of multivariate statistical analysis. Material and methods: Spectral data were obtained from a total of 22 inflammatory and ten benign skin biopsy samples from 30 patients in the visible wavelength (450-750 nm) regions. Spectral data were compared with the dermatopathology results. Spectral data analyses of biopsy samples were performed via principal component analysis (PCA), followed by linear discriminant analysis (LDA). The differentiation performance was calculated with the receiver operating characteristic (ROC) curve analysis. Results: The classification based on the discriminant function score provided a sensitivity of 90.9% and a specificity of 80% in discriminating benign from inflammatory lesions with an accuracy of 87.5%. Conclusions: Our study revealed that light scattering spectroscopy could discriminate between inflammatory and benign skin lesions of excised biopsy samples with high sensitivity by using multivariate statistical analysis. It can be concluded that the high diagnostic accuracy of the optical spectroscopy method has the potential to use as a supplementary system to distinguish inflammatory skin lesions from benign during the pathological examination.

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Section: Discussionmentioning

confidence: 99%

Differentiation of skin biopsies by light scattering spectroscopy

Denkçeken

Yıldırım

Atak

et al. 2020

pdia

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“…LRS can provide information on tissue structure and function by measuring chromophore concentrations, such as deoxygenated and oxygenated haemoglobin, along with light scattering, which varies by cell size and density . Previous reports have shown that LRS can detect the increase in nuclear size of malignant tissues . Additionally, LRS has been studied to diagnose various pathological states such as Barrett's oesophagitis and various malignancies, including breast, skin, kidney, and prostate .…”

Section: Discussionmentioning

confidence: 99%

Detecting positive surgical margins: utilisation of light‐reflectance spectroscopy on ex vivo prostate specimens

et al. 2016

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ObjectiveTo assess the efficacy of light-reflectance spectroscopy (LRS) to detect positive surgical margins (PSMs) on ex vivo radical prostatectomy (RP) specimens. Materials and MethodsA prospective evaluation of ex vivo RP specimens using LRS was performed at a single institution from June 2013 to September 2014. LRS measurements were performed on selected sites on the prostate capsule, marked with ink, and correlated with pathological analysis. Significant features on LRS curves differentiating malignant tissue from benign tissue were determined using a forward sequential selection algorithm. A logistic regression model was built and randomised crossvalidation was performed. The sensitivity, specificity, accuracy, negative predictive value (NPV), positive predictive value (PPV), and area under the receiver operating characteristic curve (AUC) for LRS predicting PSM were calculated. ResultsIn all, 50 RP specimens were evaluated using LRS. The LRS sensitivity for Gleason score ≥7 PSMs was 91.3%, specificity 92.8%, accuracy 92.5%, PPV 73.2%, NPV 99.4%, and the AUC was 0.960. The LRS sensitivity for Gleason score ≥6 PSMs was 65.5%, specificity 88.1%, accuracy 83.3%, PPV 66.2%, NPV 90.7%, and the AUC was 0.858. ConclusionsLRS can reliably detect PSMs for Gleason score ≥7 prostate cancer in ex vivo RP specimens.

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“…ROC curve, comparing reactive and metastatic pelvic lymph nodes. [2][3][4][5][6][7][8]15,16]. During spectral measurements, fiber optic probe was gently placed in contact with the cut surface of the node.…”

Section: Tablementioning

confidence: 99%

“…ELSSS system is used for detection of pelvic lymph node metastasis in men which sensitive to the epithelial morphology and nuclear size [2][3][4] scattering there is a negligible energy transfer and there is only spatial distribution of light changes in the tissue. ELSSS system has been used previously as a diagnostic technique [2][3][4][5][6][7][8] moreover; there has been a great deal of investigation in cancer detection by using other spectroscopic techniques [9][10][11][12][13]. Significant portion of light is scattered from the nucleus which is the major internal scatterer in the cell and the difference in the index of refraction between the cytoplasm and the cell membrane causes light scattering [12,13].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of pelvic lymph node metastasis in prostate cancer using single optical fiber probe

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Canpolat

Baykara

et al. 2016

International Journal of Biological Macromolecules

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Diagnosis and Demarcation of Skin Malignancy Using Elastic Light Single-Scattering Spectroscopy: A Pilot Study

Abstract: ELSSS has the potential for use as an adjunctive tool to reduce the number of negative biopsies and to detect positive surgical margins in real time.

Cited by 24 publications

References 24 publications

Differentiation of skin biopsies by light scattering spectroscopy

Differentiation of skin biopsies by light scattering spectroscopy

Detecting positive surgical margins: utilisation of light‐reflectance spectroscopy on ex vivo prostate specimens

Diagnosis of pelvic lymph node metastasis in prostate cancer using single optical fiber probe

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