Characterization of connective tissues using near-infrared spectroscopy and imaging

Afara, Isaac O.; Shaikh, Rubina; Nippolainen, Ervin; Querido, William; Torniainen, Jari; Sarin, Jaakko K.; Kandel, Shital; Pleshko, Nancy; Töyräs, Juha

doi:10.1038/s41596-020-00468-z

Cited by 47 publications

(53 citation statements)

References 96 publications

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“…Secondly, NIR spectroscopy on SGTs only provides a rather general insight into tissue biochemistry, in contrast to the histological microscopical investigation. Thirdly, NIR spectroscopy is based on the absorbance at specific wavelength(s) and can be affected by the thickness and particle size of the sample, by variations of the optical path length, and by crystalline forms, requiring well-defined sample analysis preparation protocol [ 12 , 14 ]. Fourthly, the deparaffinization of the tissue sections (neuraminidase experiment) could have structurally changed the tissue sections, which result in alterations in the NIR spectra and could differ from the analysis obtained with the H&E tissue sections.…”

Section: Discussionmentioning

confidence: 99%

“…Over the last years, infrared (IR) spectroscopy gained more importance as a non-destructive, label-free, and molecular vibrational spectroscopic technique in the analysis of the biochemical characteristics of tissue samples of various origins, e.g., fingernails, kidney tissue sections, retinal sections, and prostate sections [ 8 , 9 , 10 , 11 ]. NIR spectroscopy (spectral range of 780–2500 nm of the electromagnetic spectrum) is a spectroscopic technique with good sample penetration and is based on the absorption of IR radiation of the studied molecular covalent bonds [ 12 ]. The (N)IR spectrum arises from the variation of vibrational frequencies of the chemical bonds present in the tissue section.…”

Section: Introductionmentioning

confidence: 99%

“…Variation in chemical structure is translated into IR spectral variation. The absorbance bands (overtones) present in the NIR spectra arise from vibrations of molecular bonds within the sample, specifically O–H, C–H, N–H, and S–H bonds [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

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A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors

Coopman

Bruyne

Speeckaert

et al. 2021

Cancers

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SGTs vary in histological behavior. Mucins, a major component in salivary glands, consist of a glycosylated and sialylated protein core. Rapid evolutions in glycobiology have demonstrated the important role of glycoproteins in cancer development. NIR spectroscopy is a method for the biochemical analysis of substrates. NIR spectra can be analyzed using specific chemometrics. Our aim was to explore the diagnostic possibilities of NIR spectroscopy in SGTs. 238 Hematoxylin and Eosine stained (H&E) SGT tissue sections were examined using NIR spectroscopy. 45 deparaffinized tissue sections were treated with neuraminidase to identify wavelengths in the NIR spectrum related to sialylation. NIR spectra were analyzed with chemometrics. NIR spectra could distinguish malignant SGTs from controls and benign SGTs. Prediction models based on the entire spectral range resulted in a 73.1% accurate classification of malignant SGTs and controls, while, based on neuraminidase experimental spectral peak differences (1436 nm; 1713 nm; 1783 nm; 1924 nm; 2032 nm; 2064 nm; 2178 nm; 2216 nm), an improved overall correct classification rate of 91.9% was obtained between healthy subjects and malignant tumors. H&E tissue section-based NIR spectroscopy can identify malignant SGTs from controls, promising an alternative method in the diagnosis of SGTs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors

Coopman

Bruyne

Speeckaert

et al. 2021

Cancers

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“…Standardization of pre-analytical, analytical and post-analytical steps is crucial for any analytical method intended for clinical implementation [2,[161][162][163][164] . Multinational networks, such as the International Society for Clinical Spectroscopy (CLIRSPEC) (https://clirspec.org/) and Raman4Clinics (https://www.raman4clinics.eu/) founded in 2015, aim to pool expertise and develop collaborations between scientists, chemometricians, industrial and clinical partners in a concerted effort to promote the translation of spectroscopic techniques into the clinic.…”

Section: Considerations For the Translation Of Clinical Spectroscopymentioning

confidence: 99%

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

Paraskevaidi

Baker²,

Butler

et al. 2021

Applied Spectroscopy Reviews

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Analytical technologies that can improve disease diagnosis are highly sought after. Current screening/diagnostic tests for several diseases are limited by their moderate diagnostic performance, invasiveness, costly and laborious methodologies or the need for multiple tests before a definitive diagnosis. Spectroscopic techniques, including infrared (IR) and Raman, have attracted great interest in the medical field, with applications expanding from early disease detection to monitoring and real-time diagnosis. This review highlights applications of IR and Raman spectroscopy, with a focus on cancer and infectious diseases since 2015, and underscores the diverse sample types that can be analyzed, such as biofluids, cells and tissues. Studies involving more than 25 participants per group (disease and control group; if no control group >25 in disease group) were considered eligible, to retain the clinical focus of the paper. Following literature searches, we identified 94 spectroscopic studies on different cancers and 30 studies on infectious diseases. The review KEYWORDS

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“…Similarly, some Raman spectroscopy approaches may require customized systems or more complex laboratory setups. Throughout the following sections, we describe some particularities involved in each approach; however, we suggest the interested reader to look into more detail protocol papers to gain better knowledge about practical differences in the application of the different modalities and techniques [22,26,32].…”

Section: Vibrational Spectroscopy Modalitiesmentioning

confidence: 99%

Applications of Vibrational Spectroscopy for Analysis of Connective Tissues

2021

Self Cite

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Advances in vibrational spectroscopy have propelled new insights into the molecular composition and structure of biological tissues. In this review, we discuss common modalities and techniques of vibrational spectroscopy, and present key examples to illustrate how they have been applied to enrich the assessment of connective tissues. In particular, we focus on applications of Fourier transform infrared (FTIR), near infrared (NIR) and Raman spectroscopy to assess cartilage and bone properties. We present strengths and limitations of each approach and discuss how the combination of spectrometers with microscopes (hyperspectral imaging) and fiber optic probes have greatly advanced their biomedical applications. We show how these modalities may be used to evaluate virtually any type of sample (ex vivo, in situ or in vivo) and how “spectral fingerprints” can be interpreted to quantify outcomes related to tissue composition and quality. We highlight the unparalleled advantage of vibrational spectroscopy as a label-free and often nondestructive approach to assess properties of the extracellular matrix (ECM) associated with normal, developing, aging, pathological and treated tissues. We believe this review will assist readers not only in better understanding applications of FTIR, NIR and Raman spectroscopy, but also in implementing these approaches for their own research projects.

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Characterization of connective tissues using near-infrared spectroscopy and imaging

Cited by 47 publications

References 96 publications

A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors

A Tissue Section-Based Near-Infrared Spectroscopical Analysis of Salivary Gland Tumors

Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

Applications of Vibrational Spectroscopy for Analysis of Connective Tissues

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