Assessment of fiberoptic near-infrared raman spectroscopy for diagnosis of bladder and prostate cancer

Crow, Paul; Molckovsky, Andrea; Stone, Nick; Uff, J.; Wilson, Brian C.; Wongkeesong, Louis–Michel

doi:10.1016/j.urology.2004.12.058

Cited by 188 publications

(167 citation statements)

References 11 publications

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“…Stone and co-workers have recently established the foundation of such development by designing a gradient index lens-based probe with 147 μm depth of field [31]. Our ex vivo results also compare favorably with their previous fiber-optic probe-based investigations where the authors reported an overall diagnostic accuracy of 84 % in discriminating benign and malignant bladder lesion by acquiring spectra from (snap-frozen) in vitro bladder tissue sample [20]. Our overall accuracy (93 %) is higher in comparison to this value, although presumably discrimination between the benign and malignant lesions is more complex in relation to discrimination between normal and cancer tissue as performed here.…”

Section: Resultssupporting

confidence: 82%

“…Based on our empirical depth-offield value of ca. 280 μm, one can reasonably infer that we are able to more selectively sample the molecular constituents at the surface tissue layers in relation to the highvolume Raman probe used here as well as those used previously [20,21]. As stated earlier, this depth-of-field value is not necessarily an accurate representation of the corresponding value in a turbid medium (such as biological tissue) where elastic scattering may considerably reduce the penetration and collection depth.…”

Section: Resultsmentioning

confidence: 70%

“…The next step in the progression was also taken by the same group when they reported a fiber-opticbased clinical Raman system that was able to discriminate between (snap-frozen) benign and malignant bladder samples with an overall accuracy of 84 % [20]. These foundational works paved the way for in vivo translation of the Raman-based diagnostic approach.…”

Section: Introductionmentioning

confidence: 97%

See 2 more Smart Citations

Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis

et al. 2012

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In recent years, Raman spectroscopy has shown substantive promise in diagnosing bladder cancer, especially due to its exquisite molecular specificity. The ability to reduce false detection rates in comparison to existing diagnostic tools such as photodynamic diagnosis makes Raman spectroscopy particularly attractive as a complementary diagnostic tool for real-time guidance of transurethral resection of bladder tumor (TURBT). Nevertheless, the state-ofthe-art high-volume Raman spectroscopic probes have not reached the expected levels of specificity thereby impeding their clinical translation. To address this issue, we propose the use of a confocal Raman probe for bladder cancer diagnosis that can boost the specificity of the diagnostic algorithm based on its suppression of the out-of-focus nonanalyte-specific signals emanating from the neighboring normal tissue. In this article, we engineer and apply such a probe, having depth of field of approximately 280 μm, for Raman spectral acquisition from ex vivo normal and cancerous TURBT samples. Using this clinical dataset, a diagnostic algorithm based on principal component analysis and logistic regression is developed. We demonstrate that this approach results in comparable sensitivity but significantly higher specificity in relation to high-volume Raman spectral data. The application of only two principal components is sufficient for the discrimination of the samples underlining the robustness of the algorithm. Further, no discordance between replicate spectra is observed emphasizing the reproducible nature of the current diagnostic assessment. The high levels of sensitivity and specificity achieved in this proof-of-concept study opens substantive avenues for application of a confocal Raman probe during endoscopic procedures related to diagnosis and treatment of bladder cancer.

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Section: Resultssupporting

confidence: 82%

Section: Resultsmentioning

confidence: 70%

Section: Introductionmentioning

confidence: 97%

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Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis

et al. 2012

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“…Recent advances in near-infrared lasers, optical filters, fiber optics and CCD cameras have greatly improved its sensitivity in detecting the chemical composition of biological tissues. In the most recent decade, the Raman optical fiber probe has allowed for fast and accurate cancer diagnostics, including ex vivo study of breast [4,5], prostate [6], lung [7] and skin [8,9], and in vivo study of breast [10], cervical [11], and skin [2,12]. Recent clinical studies from our group [12] and others [2] have demonstrated that RS has high diagnostic accuracy in discriminating skin melanoma from nonmelanoma pigmented lesions.…”

Section: Introductionmentioning

confidence: 99%

Raman active components of skin cancer

Feng¹,

Moy²,

Nguyen³

et al. 2017

Biomed. Opt. Express

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Raman spectroscopy (RS) has shown great potential in noninvasive cancer screening. Statistically based algorithms, such as principal component analysis, are commonly employed to provide tissue classification; however, they are difficult to relate to the chemical and morphological basis of the spectroscopic features and underlying disease. As a result, we propose the first Raman biophysical model applied to in vivo skin cancer screening data. We expand upon previous models by utilizing in situ skin constituents as the building blocks, and validate the model using previous clinical screening data collected from a Raman optical fiber probe. We built an 830nm confocal Raman microscope integrated with a confocal laser-scanning microscope. Raman imaging was performed on skin sections spanning various disease states, and multivariate curve resolution (MCR) analysis was used to resolve the Raman spectra of individual in situ skin constituents. The basis spectra of the most relevant skin constituents were combined linearly to fit in vivo human skin spectra. Our results suggest collagen, elastin, keratin, cell nucleus, triolein, ceramide, melanin and water are the most important model components. We make available for download (see supplemental information) a database of Raman spectra for these eight components for others to use as a reference. Our model reveals the biochemical and structural makeup of normal, nonmelanoma and melanoma skin cancers, and precancers and paves the way for future development of this approach to noninvasive skin cancer diagnosis.

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“…The higher signal levels achievable with FTIRM result in increased speed of measurement and consequently higher sample throughput over CRM [21]. The strengths of both are now well established in hyperspectral imaging for non-invasive and label-free histopathology [22][23][24][25][26][27][28][29][30], while the capabilities of CRM to detect tissue abnormalities in-vivo without the complication of contamination of spectral measurements by water and atmospheric features has resulted in a move to the development of clinical devices [31].…”

Section: Introductionmentioning

confidence: 99%

Spectroscopic and chemometric approaches to radiobiological analyses

Meade

Byrne²,

Lyng

2010

Mutation Research/Reviews in Mutation Research

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Vibrational spectroscopy is an attractive modality for the analysis of biological samples, providing a complete non-invasive acquisition of the biochemical fingerprint of the sample. It has been demonstrated that this data provides the means to assay multiple functional responses of a biological system at a spatial resolution as low as a micron within the sample. As the interaction of ionizing radiation with biological systems involves chemical reactions between the products of radiation induced damage and various structural and functional units within the cell, the vibrational spectroscopic modalities have received attention as potential measurement platforms for the in-situ examination of the chemistry of biological species in radiobiology. This presents challenges in relation to sample preparation and the construction of suitable analytical methodologies. In this work protocols for sample preparation and approaches to multivariate analysis of vibrational spectra in radiobiological analysis are detailed and the utility of the methodology in analyzing the evolution of biochemical responses to radiobiological damage are highlighted.

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Assessment of fiberoptic near-infrared raman spectroscopy for diagnosis of bladder and prostate cancer

Cited by 188 publications

References 11 publications

Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis

Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis

Raman active components of skin cancer

Spectroscopic and chemometric approaches to radiobiological analyses

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