Multispectral autofluorescence imaging for detection of cervical lesions: A preclinical study

Bae, Soo-Jin; Lee, Dae-Sic; Berezin, V. B.; Kang, Ung Gu; Lee, Keun-Ho

doi:10.1111/jog.13101

Cited by 8 publications

(9 citation statements)

References 21 publications

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“…Fluorescence spectroscopy is particularly important for disease diagnosis [ [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] ]. The fluorescence emission from different natural fluorophores in biological tissues is obtained by exciting them with ultraviolet or visible light.…”

Section: Introductionmentioning

confidence: 99%

SARS-CoV-2, hemoglobin and protoporphyrin IX: Interactions and perspectives

Courrol

Silva

Masilamani

2021

Photodiagnosis and Photodynamic Therapy

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Background SARS-CoV-2 attacks hemoglobin through its structural protein ORF3a, dissociating the iron from the heme, as iron is necessary by cell machinery for virus replication. In this process protoporphyrin (PpIX) is released. Methods The decrease in the hemoglobin levels observed in patients with Covid-19 is frequently accompanied by an increase in PpIX levels. This evidence was confirmed by the quantification of PpIX by high-performance liquid chromatography (HPLC). PpIX emission is observed in its two characteristic bands at approximately 635 nm and 705 nm. Results This paper searches to understand the role of heme and PpIX inside the cells. Perspectives on the use of PpIX fluorescence as a sensor to monitor the presence of SARS-CoV-2 in the tissue, blood, urine, or feces to map the evolution and severity of the disease or to monitor the response of the Covid-19 treatment modalities were described. Conclusion Fluorescence spectroscopy could be adopted as an excellent diagnostic technique for Covid-19, of low cost and high sensitivity. This method can potentially be used as a marker to monitor the response to the treatments. Photodynamic and sonodynamic therapies using the endogenous PpIX increased in the acute phase of the disease, could be employed for Covid-19 treatment.

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Section: Introductionmentioning

confidence: 99%

SARS-CoV-2, hemoglobin and protoporphyrin IX: Interactions and perspectives

Courrol

Silva

Masilamani

2021

Photodiagnosis and Photodynamic Therapy

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“…rough the multispectral image, not only the image data of the research target at a certain wavelength can be obtained, which is used to obtain the two-dimensional morphological data of the research object, but also the spectral data of a certain wavelength in the three-dimensional space can be used to obtain the research object information contained within the space. erefore, multispectral imaging technology has been applied to various aspects [17]. Image fusion is also an important point in multispectral imaging technology.…”

Section: Discussionmentioning

confidence: 99%

Multispectral Image under Tissue Classification Algorithm in Screening of Cervical Cancer

Wang

Zhang

et al. 2022

Journal of Healthcare Engineering

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The objectives of this study were to improve the efficiency and accuracy of early clinical diagnosis of cervical cancer and to explore the application of tissue classification algorithm combined with multispectral imaging in screening of cervical cancer. 50 patients with suspected cervical cancer were selected. Firstly, the multispectral imaging technology was used to collect the multispectral images of the cervical tissues of 50 patients under the conventional white light waveband, the narrowband green light waveband, and the narrowband blue light waveband. Secondly, the collected multispectral images were fused, and then the tissue classification algorithm was used to segment the diseased area according to the difference between the cervical tissues without lesions and the cervical tissues with lesions. The difference in the contrast and other characteristics of the multiband spectrum fusion image would segment the diseased area, which was compared with the results of the disease examination. The average gradient, standard deviation (SD), and image entropy were adopted to evaluate the image quality, and the sensitivity and specificity were selected to evaluate the clinical application value of discussed method. The fused spectral image was compared with the image without lesions, it was found that there was a clear difference, and the fused multispectral image showed a contrast of 0.7549, which was also higher than that before fusion (0.4716), showing statistical difference ( P < 0.05 ). The average gradient, SD, and image entropy of the multispectral image assisted by the tissue classification algorithm were 2.0765, 65.2579, and 4.974, respectively, showing statistical difference ( P < 0.05 ). Compared with the three reported indicators, the values of the algorithm in this study were higher. The sensitivity and specificity of the multispectral image with the tissue classification algorithm were 85.3% and 70.8%, respectively, which were both greater than those of the image without the algorithm. It showed that the multispectral image assisted by tissue classification algorithm can effectively screen the cervical cancer and can quickly, efficiently, and safely segment the cervical tissue from the lesion area and the nonlesion area. The segmentation result was the same as that of the doctor's disease examination, indicating that it showed high clinical application value. This provided an effective reference for the clinical application of multispectral imaging technology assisted by tissue classification algorithm in the early screening and diagnosis of cervical cancer.

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“…The growth of tumor in mice, inoculated with highly tumorigenic TC-1 cells immortalized using HPV type 16 proteins, was studied as a model of cervical cancer by Bae and co-workers [ 54 ]. Using an optical imaging system they detected the enhancement of protoporphyrin IX (PpIX) autofluorescence in tumor regions.…”

Section: Reviewmentioning

confidence: 99%

Optical techniques for cervical neoplasia detection

Novikova¹

2017

Beilstein J. Nanotechnol.

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This paper provides an overview of the current research in the field of optical techniques for cervical neoplasia detection and covers a wide range of the existing and emerging technologies. Using colposcopy, a visual inspection of the uterine cervix with a colposcope (a binocular microscope with 3- to 15-fold magnification), has proven to be an efficient approach for the detection of invasive cancer. Nevertheless, the development of a reliable and cost-effective technique for the identification of precancerous lesions, confined to the epithelium (cervical intraepithelial neoplasia) still remains a challenging problem. It is known that even at early stages the neoplastic transformations of cervical tissue induce complex changes and modify both structural and biochemical properties of tissues. The different methods, including spectroscopic (diffuse reflectance spectroscopy, induced fluorescence and autofluorescence spectroscopy, Raman spectroscopy) and imaging techniques (confocal microscopy, optical coherence tomography, Mueller matrix imaging polarimetry, photoacoustic imaging), probe different tissue properties that may serve as optical biomarkers for diagnosis. Both the advantages and drawbacks of these techniques for the diagnosis of cervical precancerous lesions are discussed and compared.

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Multispectral autofluorescence imaging for detection of cervical lesions: A preclinical study

Cited by 8 publications

References 21 publications

SARS-CoV-2, hemoglobin and protoporphyrin IX: Interactions and perspectives

SARS-CoV-2, hemoglobin and protoporphyrin IX: Interactions and perspectives

Multispectral Image under Tissue Classification Algorithm in Screening of Cervical Cancer

Optical techniques for cervical neoplasia detection

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