Infrared spectroscopy with multivariate analysis segregates low-grade cervical cytology based on likelihood to regress, remain static or progress

Purandare, Nikhil; Patel, Imran; Lima, Kássio M. G.; Trevisan, Júlio; Ma’ayeh, Marwan; McHugh, Ann; Bünau, Günther von; Hirsch, Pierre L. Martin; Prendiville, Walter; Martin, Francis

doi:10.1039/c3ay42224k

Cited by 18 publications

(24 citation statements)

References 47 publications

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“…This utilises "frozen section" of the specimen, which is then stained, usually with H&E, and is examined by optical microscopy. Our in-house tools for matlab, irootlab 30,37,38 can be adjusted to analyse spectral datasets using analysis cascades that would complete the procedure within minutes, reducing surgical duration. 34,35 It prevents morbidity associated with surgical staging procedures in benign cases and under-treatment of malignant tumours, which would otherwise require restaging surgery or chemotherapy.…”

Section: Discussionmentioning

confidence: 99%

ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer

Theophilou

Lima

Martin‐Hirsch

et al. 2016

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Surgical management of ovarian tumours largely depends on their histo-pathological diagnosis. Currently, screening for ovarian malignancy with tumour markers in conjunction with radiological investigations has a low specificity for discriminating benign from malignant tumours. Also, pre-operative biopsy of ovarian masses increases the risk of intra-peritoneal dissemination of malignancy. Intra-operative frozen section, although sufficiently accurate in differentiating tumours according to their histological type, increases operation times. This results in increased surgery-related risks to the patient and additional burden to resource allocation. We set out to determine whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy, combined with chemometric analysis can be applied to discriminate between normal, borderline and malignant ovarian tumours and classify ovarian carcinoma subtypes according to the unique spectral signatures of their molecular composition. Formalin-fixed, paraffin-embedded ovarian tissue blocks were de-waxed, mounted on Low-E slides and desiccated before being analysed using ATR-FTIR spectroscopy. Chemometric analysis in the form of principal component analysis (PCA), successive projection algorithm (SPA) and genetic algorithm (GA), followed by linear discriminant analysis (LDA) of the obtained spectra revealed clear segregation between benign versus borderline versus malignant tumours as well as segregation between different histological tumour subtypes, when these approaches are used in combination. ATR-FTIR spectroscopy coupled with chemometric analysis has the potential to provide a novel diagnostic approach in the accurate diagnosis of ovarian tumours assisting surgical decision making to avoid under-treatment or over-treatment, with minimal impact to the patient.

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Section: Discussionmentioning

confidence: 99%

ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer

Theophilou

Lima

Martin‐Hirsch

et al. 2016

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“…We will also focus on the integration of spatial and morphological information from stained tissue sections with the spectral information from IR images to maximize the amount of diagnostic and prognostic information from tissue biopsies. It will also be important to expand the number of patients in these studies to allow for the training and validation of a predictive model with the requisite sensitivity and specificity (20). …”

Section: Discussionmentioning

confidence: 99%

A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression

Varma

Kajdacsy-Balla

Akkina

et al. 2016

Kidney International

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Routine histology, the current gold standard, involves staining for specific biomolecules. However, untapped biochemical information in tissue can be gathered using biochemical imaging. Infrared spectroscopy is an emerging modality that allows label-free chemical imaging to derive biochemical information (such as protein, lipids, DNA, collagen) from tissues. Here we employed this technology in order to better predict the development of diabetic nephropathy. Using human primary kidney biopsies or nephrectomies, we obtained tissue from four histologically normal kidneys, four histologically normal kidneys from diabetic subjects and five kidneys with evidence of diabetic nephropathy. A biochemical signature of diabetic nephropathy was derived that enabled prediction of nephropathy based on the ratio of only two spectral frequencies. Nonetheless, using the entire spectrum of biochemical information, we were able to detect renal disease with near perfect accuracy. Additionally, study of sequential protocol biopsies from three transplanted kidneys showed biochemical changes even prior to clinical manifestation of diabetic nephropathy. Thus, infrared imaging can identify critical biochemical alterations that precede morphological changes, potentially allowing for earlier intervention.

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“…Subsequent results from further investigations by the same group suggested that the extent to which clusters were separated from each other may be associated with the invasive properties of each cell line. They further suggested that the cluster plot could be used to determine whether inorganic ions have a negative or positive effect on invasiveness as a consequence of ion uptake, which could be subsequently confirmed and quantified through ToF-SIMS imaging [19,63].…”

Section: Applicationsmentioning

confidence: 99%

“…Further, as part of the computational methodology, variable selection methods such as successive projections algorithm (SPA) [63], in conjunction with LDA and genetic algorithm (GA) [64] improve the model performance compared with the full spectrum model. These algorithms eliminate potential interferents and variables that generate a lower signal/noise ratio.…”

Section: Classificationmentioning

confidence: 99%

A decade (2004 – 2014) of FTIR prostate cancer spectroscopy studies: An overview of recent advancements

Siqueira

Lima

2016

TrAC Trends in Analytical Chemistry

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Infrared spectroscopy with multivariate analysis segregates low-grade cervical cytology based on likelihood to regress, remain static or progress

Abstract: Predicting progressive disease in low-grade cervical cytology.

Cited by 18 publications

References 47 publications

ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer

ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer

A label-free approach by infrared spectroscopic imaging for interrogating the biochemistry of diabetic nephropathy progression

A decade (2004 – 2014) of FTIR prostate cancer spectroscopy studies: An overview of recent advancements

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