Spectrophotometric measurements of human tissues for the detection of subjacent blood vessels in an endonasal endoscopic surgical approach

Ernstberger, Markus; Boeswetter, Pascal; Baselt, Tobias; Ebert, Frank; Basan, Fabiola; Steinke, Hanno; Hammer, Niels; Grunert, Ronny; Hartmann, Péter

doi:10.1002/jbio.201200072

Cited by 6 publications

(6 citation statements)

References 12 publications

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“…13 The unfiltered radiation was then coupled out of the endoscope cable and freespace radiated onto the tissue's surface (2), where the diameter of the spot was 10 AE 1 mm. 13 The unfiltered radiation was then coupled out of the endoscope cable and freespace radiated onto the tissue's surface (2), where the diameter of the spot was 10 AE 1 mm.…”

Section: Methodsmentioning

confidence: 99%

Combined spectrophotometry and tensile measurements of human connective tissues: potentials and limitations

et al. 2013

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Strain-dependent transmission data of nine iliotibial tract specimens are determined using a custom-built optical setup with a halogen light source and an industrial norm material testing machine. Polarized light microscopy and hematoxylin-eosin staining indicated that lateral contraction of collagen structures is responsible for total intensity variations during a 20-cycle preconditioning and a 5-cycle tensile test. Tensile force progress is opposite to total transmission progress. Due to dehydration, wavelength-specific radiation intensity shifting is determined during the test, primarily noticeable in a water absorption band between 1400 and 1500 nm. The results show the capability of integrating spectrophotometry technology into biomechanics for determining structural alterations of human collagen due to applied strain. Being more sensitive to drying, spectrophotometry may likely serve as a quality control in stress-strain testing of biological structures.

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Section: Methodsmentioning

confidence: 99%

Combined spectrophotometry and tensile measurements of human connective tissues: potentials and limitations

et al. 2013

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“…For vascular structures (eg, veins, arteries), where classification performance was relatively poor in our study, the addition of multispectral signatures from blood flow is expected to improve classification accuracy. 4,5 For other tissue types, it is uncertain how the adjustment from cadavers to live humans will affect the real-world performance of the ML models. A relatively small image database was recorded for this study, which may result in overfitting of the ML model and hinder generalization of the model’s performance to other settings.…”

Section: Discussionmentioning

confidence: 99%

“…Multispectral imaging has emerged as a promising tool to noninvasively identify tissue composition through measurement of the tissue’s absorption, reflectance, and fluorescence spectra across visible and nonvisible wavelengths of light 1 . Foundational studies have demonstrated its discriminant power for various tissues, including blood vessels, bone, fat, muscle, nerve, and skin 2–6 . Potential applications have previously been explored across various fields of medicine, including gastroenterology, 7 , 8 laparoscopic surgery, 9 gynecology, ophthalmology, neurosurgery, critical care, cardiology, 10 and otolaryngology–head and neck surgery 6,11–15 .…”

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confidence: 99%

“…1 Foundational studies have demonstrated its discriminant power for various tissues, including blood vessels, bone, fat, muscle, nerve, and skin. [2][3][4][5][6] Potential applications have previously been explored across various fields of medicine, including gastroenterology, 7,8 laparoscopic surgery, 9 gynecology, ophthalmology, neurosurgery, critical care, cardiology, 10 and otolaryngology-head and neck surgery. 6,[11][12][13][14][15] Previous work has investigated the ability of multispectral imaging to classify normal head and neck tissue of parathyroid glands 11,16 and the facial nerve.…”

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Multispectral Imaging for Automated Tissue Identification of Normal Human Surgical Specimens

Shenson¹,

Liu²,

Farrell

et al. 2020

Otolaryngol.--head neck surg.

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Objective Safe surgery requires the accurate discrimination of tissue intraoperatively. We assess the feasibility of using multispectral imaging and deep learning to enhance surgical vision by automated identification of normal human head and neck tissues. Study Design Construction and feasibility testing of novel multispectral imaging system for surgery. Setting Academic university hospital. Subjects and Methods Multispectral images of fresh-preserved human cadaveric tissues were captured with our adapted digital operating microscope. Eleven tissue types were sampled, each sequentially exposed to 6 lighting conditions. Two convolutional neural network machine learning models were developed to classify tissues based on multispectral and white-light color images (ARRInet-M and ARRInet-W, respectively). Blinded otolaryngology residents were asked to identify tissue specimens from white-light color images, and their performance was compared with that of the ARRInet models. Results A novel multispectral imaging system was developed with minimal adaptation to an existing digital operating microscope. With 81.8% accuracy in tissue identification of full-size images, the multispectral ARRInet-M classifier outperformed the white-light-only ARRInet-W model (45.5%) and surgical residents (69.7%). Challenges with discrimination occurred with parotid vs fat and blood vessels vs nerve. Conclusions A deep learning model using multispectral imaging outperformed a similar model and surgical residents using traditional white-light imaging at the task of classifying normal human head and neck tissue ex vivo. These results suggest that multispectral imaging can enhance surgical vision and augment surgeons’ ability to identify tissues during a procedure.

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“…Optical properties of living tissue are important for many diagnostic methods in the field of biomedical optics and biophotonics 1,2 and light scattering often limits the ability to analyze cellular structures. 3,4 Scattering in biological tissue occurs mainly in the forward direction with the resulting angle-dependent intensity distribution being determined by the structure size, the refractive index, and the geometry of the structures.…”

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Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis

et al. 2018

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Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis," J.Abstract. The scattering properties of biological tissue are highly dependent on the structure size, refractive index, and wavelength of the incident light. Furthermore, these scattering characteristics are strongly influenced by movements of the scattering objects. A method is developed to determine the angular-and spectral-resolved scattering properties that enabled the characterization of biological nano-and microscaled cell structures. Nanosecond pulses from a spectrally filtered supercontinuum light source are captured and time-resolved to depress background noise and minimize disruptive effects of the biological cells. The scattering characteristics of a monolayer of mouse fibroblast L929 cells are measured at defined wavelengths in a standard cell culture plate. Because of the size and distribution of the scattering structures, a Fourier transform-based Mie scattering scheme is used to analyze the data. The system is tested to detect structural changes of mouse fibroblast L929 cells before and after poisoning with Triton X100. The final result is the development of a contamination-free method to study pathological changes in cell cultures, necrosis, or other cell-damaging effects.

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Spectrophotometric measurements of human tissues for the detection of subjacent blood vessels in an endonasal endoscopic surgical approach

Cited by 6 publications

References 12 publications

Combined spectrophotometry and tensile measurements of human connective tissues: potentials and limitations

Combined spectrophotometry and tensile measurements of human connective tissues: potentials and limitations

Multispectral Imaging for Automated Tissue Identification of Normal Human Surgical Specimens

Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis

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