Opportunities of optical and spectral technologies in intraoperative histopathology

Krafft, Christoph; Popp, Juergen

doi:10.1364/optica.478211

Cited by 11 publications

(5 citation statements)

References 139 publications

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“…The study demonstrates that Raman spectroscopy provides a wealth of information for tissue assessment and Raman images resolve further spectral and lateral details. Consequently, Raman-based methods were reviewed among other optical and spectral technologies for the clinical need of an intraoperative histopathology [ 20 ]. Here, Raman data were collected from bladder specimens and processed by VCA and HCA.…”

Section: Discussionmentioning

confidence: 99%

Raman Spectroscopic Imaging of Human Bladder Resectates towards Intraoperative Cancer Assessment

Krafft

Popp

Bronsert

et al. 2023

Cancers

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Raman spectroscopy offers label-free assessment of bladder tissue for in vivo and ex vivo intraoperative applications. In a retrospective study, control and cancer specimens were prepared from ten human bladder resectates. Raman microspectroscopic images were collected from whole tissue samples in a closed chamber at 785 nm laser excitation using a 20× objective lens and 250 µm step size. Without further preprocessing, Raman images were decomposed by the hyperspectral unmixing algorithm vertex component analysis into endmember spectra and their abundancies. Hierarchical cluster analysis distinguished endmember Raman spectra that were assigned to normal bladder, bladder cancer, necrosis, epithelium and lipid inclusions. Interestingly, Raman spectra of microplastic particles, pigments or carotenoids were detected in 13 out of 20 specimens inside tissue and near tissue margins and their identity was confirmed by spectral library surveys. Hypotheses about the origin of these foreign materials are discussed. In conclusion, our Raman workflow and data processing protocol with minimal user interference offers advantages for future clinical translation such as intraoperative tumor detection and label-free material identification in complex matrices.

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Section: Discussionmentioning

confidence: 99%

Raman Spectroscopic Imaging of Human Bladder Resectates towards Intraoperative Cancer Assessment

Krafft

Popp

Bronsert

et al. 2023

Cancers

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“…These modifications empowhisHSI to discern lesions and abnormal tissue, obviating the need for histological examination and thereby enhancing efficiency and treatment outcomes. Reflectance, absorption, and scattering phenomena spanning the visible to near-infrared light spectrum (400–1000 nm) furnish diagnostic insights into tissue physiology, morphology, and composition [ 15 ]. Each wavelength of light interacts uniquely with the material, influenced by its chemical composition, including water content, hemoglobin levels, lipid concentrations, and other molecular constituents.…”

Section: Discussionmentioning

confidence: 99%

Endoscopic Hyperspectral Imaging System to Discriminate Tissue Characteristics in Tissue Phantom and Orthotopic Mouse Pancreatic Tumor Model

Mun,

Tran,

Park

et al. 2024

Bioengineering

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In this study, we developed an endoscopic hyperspectral imaging (eHSI) system and evaluated its performance in analyzing tissues within tissue phantoms and orthotopic mouse pancreatic tumor models. Our custom-built eHSI system incorporated a liquid crystal tunable filter. To assess its tissue discrimination capabilities, we acquired images of tissue phantoms, distinguishing between fat and muscle regions. The system underwent supervised training using labeled samples, and this classification model was then applied to other tissue phantom images for evaluation. In the tissue phantom experiment, the eHSI effectively differentiated muscle from fat and background tissues. The precision scores regarding fat tissue classification were 98.3% for the support vector machine, 97.7% for the neural network, and 96.0% with a light gradient-boosting machine algorithm, respectively. Furthermore, we applied the eHSI system to identify tumors within an orthotopic mouse pancreatic tumor model. The F-score of each pancreatic tumor-bearing model reached 73.1% for the KPC tumor model and 63.1% for the Pan02 tumor models. The refined imaging conditions and optimization of the fine-tuning of classification algorithms enhance the versatility and diagnostic efficacy of eHSI in biomedical applications.

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“…Optical and spectral technologies offer many opportunities in intraoperative histopathology [1]. Among the techniques that are already approved or close to being applied in standard clinical practice for in vivo and ex vivo monitoring are Raman-based methods [2]. Raman spectroscopy probes inherent molecular vibrations without markers by inelastic scattering of monochromatic laser light.…”

Section: Introductionmentioning

confidence: 99%

Design of a Dispersive 1064 nm Fiber Probe Raman Imaging Spectrometer and Its Application to Human Bladder Resectates

Muñoz-Bolaños,

Shaik,

Miernik

et al. 2024

Applied Sciences

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This study introduces a compact Raman spectrometer with a 1064 nm excitation laser coupled with a fiber probe and an inexpensive motorized stage, offering a promising alternative to widely used Raman imaging instruments with 785 nm excitation lasers. The benefits of 1064 nm excitation for biomedical applications include further suppression of fluorescence background and deeper tissue penetration. The performance of the 1064 nm instrument in detecting cancer in human bladder resectates is demonstrated. Raman images with 1064 nm excitation were collected ex vivo from 10 human tumor and non-tumor bladder specimens, and the results are compared to previously published Raman images with 785 nm excitation. K-Means cluster (KMC) analysis is used after pre-processing to identify Raman signatures of control, tumor, necrosis, and lipid-rich tissues. Hierarchical cluster analysis (HCA) groups the KMC centroids of all specimens as input. The tools for data processing and hyperspectral analysis were compiled in an open-source Python library called SpectraMap (SpMap). In spite of lower spectral resolution, the 1064 nm Raman instrument can differentiate between tumor and non-tumor bladder tissues in a similar way to 785 nm Raman spectroscopy. These findings hold promise for future clinical hyperspectral Raman imaging, in particular for specimens with intense fluorescence background, e.g., kidney stones that are discussed as another widespread urological application.

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Opportunities of optical and spectral technologies in intraoperative histopathology

Cited by 11 publications

References 139 publications

Raman Spectroscopic Imaging of Human Bladder Resectates towards Intraoperative Cancer Assessment

Raman Spectroscopic Imaging of Human Bladder Resectates towards Intraoperative Cancer Assessment

Endoscopic Hyperspectral Imaging System to Discriminate Tissue Characteristics in Tissue Phantom and Orthotopic Mouse Pancreatic Tumor Model

Design of a Dispersive 1064 nm Fiber Probe Raman Imaging Spectrometer and Its Application to Human Bladder Resectates

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