FTIR microspectroscopic characterization of Spitz nevi

Giorgini, Elisabetta; Tosi, Giorgio; Conti, Carla; Staibano, Stefania; Ilardi, Gennaro; Sabbatini, Simona

doi:10.1016/j.saa.2015.01.052

Cited by 18 publications

(11 citation statements)

References 46 publications

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“…Fourier Transform Infrared Hyperspectral Imaging (FTIR‐HSI) has been widely applied in the last decade in biomedical field and in cancer research for detecting the presence of malignant tumors at micrometric scale and, as further extent, for identifying specific spectral biomarkers for their unambiguous classification . By hyperspectral imaging of specific areas of tissue samples, it is possible to achieve a morpho‐chemical correlation between histological and vibrational analysis . The potential offered by FTIR‐HSI to obtain relevant and punctual biomolecular information at molecular level and to detect changes in the biochemical composition and conformation of the most relevant biomolecules on the same sample and at the same time has been already reported in previous studies , investigating prostate , cervix , breast , colon , lung , thyroid and skin tumoral lesions.…”

Section: Introductionmentioning

confidence: 84%

Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Notarstefano

Conti

Pisani

et al. 2019

Journal of Biophotonics

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Fourier-transform infrared hyperspectral imaging (FTIR-HSI) provides hyperspectral images containing both morphological and chemical information. It is widely applied in the biomedical field to detect tumor lesions, even at the early stage, by identifying specific spectral biomarkers. Pancreatic neoplasms present different prognoses and are not always easily classified by conventional analyses. In this study, tissue samples with diagnosis of pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumor were analyzed by FTIR-HSI and the spectral data compared with those from healthy and dysplastic samples. Multivariate/univariate approaches were complemented to hyperspectral images, and definite spectral markers of the different lesions identified. The malignant lesions were recognizable both from healthy/dysplastic pancreatic tissues (high values of phospholipids and triglycerides with shorter, more branched and less unsaturated alkyl chains) and between each other (different amounts of total lipids, phosphates and carbohydrates). These findings highlight different metabolic pathways characterizing the different samples, well detectable by FTIR-HSI. K E Y W O R D SFourier transform infrared hyperspectral imaging, multivariate analysis, pancreatic ductal adenocarcinoma, pancreatic neuroendocrine tumors, spectral biomarkers

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Section: Introductionmentioning

confidence: 84%

Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Notarstefano

Conti

Pisani

et al. 2019

Journal of Biophotonics

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“…The acquired spectra analysis can be automated using machine learning algorithms, which may provide a label-free tool for automated objective classification of cells and extracellular components in the skin [10]. FTIR spectroscopy has previously been shown to discriminate melanoma from healthy skin and other skin lesions [11][12][13][14]. It has also been used to evaluate the effectiveness of drugs for treating melanoma [15].…”

Section: Introductionmentioning

confidence: 99%

Discrimination of melanoma cell lines with Fourier Transform Infrared (FTIR) spectroscopy

Shakya

Teppo

Rieppo

2020

Preprint

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Among skin cancers, melanoma is the lethal form and the leading cause of death in humans. Melanoma begins in melanocytes and is curable at early stages. Thus, early detection and evaluation of its metastatic potential are crucial for effective clinical intervention. Fourier transform infrared (FTIR) spectroscopy has gained considerable attention due to its versatility in detecting biochemical and biological features present in the samples. Changes in these features are used to differentiate between samples at different stages of the disease. Previously, FTIR spectroscopy has been mostly used to distinguish between healthy and diseased conditions. With this study, we aim to discriminate between different melanoma cell lines based on their FTIR spectra. Formalin-fixed paraffin embedded samples from three melanoma cell lines (IPC-298, SK-MEL-30 and COLO-800) were used. Statistically significant differences were observed in the prominent spectral bands of three cell lines along with shifts in peak positions. Partial least square discriminant analysis (PLS-DA) models built for the classification of three cell lines showed accuracies of 96.38 %, 95.96 % and 99.7 %, for the differentiation of IPC-298, SK-MEL-30 and COLO-800, respectively. The results suggest that FTIR spectroscopy can be used to differentiate between genetically different melanoma cells and thus potentially characterize the metastatic potential of melanoma.

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“…Advances in diagnostic techniques including Fouriertransform infrared (FTIR) spectroscopy have permitted the rapid and efficient analysis of pathological tissues and has received great attention from the medical community for the high accuracy in monitoring the structural changes in normal and pathological samples (biological fluids, cells and tissues) [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of inflammatory processes by FTIR spectroscopy

Rodrigues

Carvalho

Bonnier

et al. 2018

Journal of Medical Engineering & Technology

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Fourier transform infrared (FTIR) spectroscopy is a powerful diagnosis technique and has been used to identify patterns of molecular changes based on vibration modes. The objective of this study was to evaluate inflammatory fibrous hyperplasia (IFH) lesions and oral normal mucosa (NM) initially with histopathological exam and then using micro-FTIR spectroscopy to analyse the samples. Eleven IFH and 11 NM samples were analysed at five different points to cover the largest area possible by the micro-FTIR technique. Bands were observed between 970 and 1743 cm which corresponded to different structural components like collagen, lipids, fatty acids, proteins and amino acids. Spectral bands were more intense mostly for IFH lesions, including collagen bands, which are an important component of inflammatory fibrous hyperplasia. This study demonstrated that differentiation in the inflammatory tissue was observed in FTIR spectral differences, in terms of biochemical composition.

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FTIR microspectroscopic characterization of Spitz nevi

Cited by 18 publications

References 46 publications

Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Discrimination of melanoma cell lines with Fourier Transform Infrared (FTIR) spectroscopy

Evaluation of inflammatory processes by FTIR spectroscopy

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