scholarly journals Current Insights into Oral Cancer Diagnostics

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1287
Author(s):  
Yee-Fun Su ◽  
Yi-Ju Chen ◽  
Fa-Tzu Tsai ◽  
Wan-Chun Li ◽  
Ming-Lun Hsu ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Early Stage ◽  
Rapid Development ◽  
High Risk Patient ◽  
Cancer Diagnostics ◽  
Diagnostic Methods ◽  
Diagnostic Systems ◽  
Oral Potentially Malignant Disorders ◽  
Severe Stage

Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions.

scholarly journals Current and Future Advancements of Raman Spectroscopy Techniques in Cancer Nanomedicine

2021 ◽  
Vol 22 (23) ◽  
pp. 13141
Author(s):  
Elisabetta Canetta
Keyword(s):  
Raman Spectroscopy ◽  
Imaging Techniques ◽  
Rapid Development ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cancer Diagnostics ◽  
Raman Signal ◽  
Therapeutic Effects ◽  
Cancer Nanomedicine

Raman scattering is one of the most used spectroscopy and imaging techniques in cancer nanomedicine due to its high spatial resolution, high chemical specificity, and multiplexity modalities. The flexibility of Raman techniques has led, in the past few years, to the rapid development of Raman spectroscopy and imaging for nanodiagnostics, nanotherapy, and nanotheranostics. This review focuses on the applications of spontaneous Raman spectroscopy and bioimaging to cancer nanotheranostics and their coupling to a variety of diagnostic/therapy methods to create nanoparticle-free theranostic systems for cancer diagnostics and therapy. Recent implementations of confocal Raman spectroscopy that led to the development of platforms for monitoring the therapeutic effects of anticancer drugs in vitro and in vivo are also reviewed. Another Raman technique that is largely employed in cancer nanomedicine, due to its ability to enhance the Raman signal, is surface-enhanced Raman spectroscopy (SERS). This review also explores the applications of the different types of SERS, such as SERRS and SORS, to cancer diagnosis through SERS nanoprobes and the detection of small-size biomarkers, such as exosomes. SERS cancer immunotherapy and immuno-SERS (iSERS) microscopy are reviewed.

scholarly journals Scope of Conventional and Fractal Morphometry in Oral Potentially Malignant Disorders and Oral Cancer

2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Paresh Kumar Behera ◽  
Diksha Mohapatra
Keyword(s):  
Image Analysis ◽  
Fractal Dimension ◽  
Oral Cancer ◽  
World Health ◽  
Oral Potentially Malignant Disorders ◽  
Potentially Malignant Disorders ◽  
Risk Of Malignancy ◽  
Potentially Malignant ◽  
Health Organization

World Health Organization (WHO) defined the terminology ‘Oral Potentially malignant disorders’ (OPMD) as the presence of risk of malignancy in a lesion or condition either during the time of initial diagnosis or at a future date with the commonly accepted prevalence of 1–5%. All OPMDs may not transform into malignancy, many factors have been explored which effectively assess the risk of malignant transformation in OPMDs including many clinical, pathological and molecular factors. Qualitative & experimental factors of different cells in cytological preparations and/or biopsy specimens are reliable parameters for pathologists. The analysis and assessment of histological units can be enhanced by image analysis assisted by a computer that can be used for statistical comparisons. Fractal geometry is considered to be an ideal method of image analysis in quantitative microscopy & histopathology. Fractal dimension analysis is not only limited to determining cell and tumour types but can also be used for determining cellular behaviours in vitro such as cell migration, apoptosis and cellular differentiation, which can be a useful characterization of oral cancer lines and further help in the treatment planning. Keywords: Oral Cancer, Oral Potentially Malignant Disorders (OPMDs), Conventional morphometry, Fractal Dimension, Photomicrograph

scholarly journals Non-Invasive Diagnostic System Based on Light for Detecting Early-Stage Oral Cancer and High-Risk Precancerous Lesions—Potential for Dentistry

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3185
Author(s):  
Seiko Tatehara ◽  
Kazuhito Satomura
Keyword(s):  
Oral Cancer ◽  
Aminolevulinic Acid ◽  
Early Stage ◽  
Diagnostic Methods ◽  
Epithelial Dysplasia ◽  
Benign Lesions ◽  
Oral Health Promotion ◽  
Oral Epithelial Dysplasia ◽  
Non Invasive ◽  
Oral Epithelial

Oral health promotion and examinations have contributed to the early detection of oral cancer and oral potentially malignant disorders, leading to the adaptation of minimally invasive therapies and subsequent improvements in the prognosis/maintenance of the quality of life after treatments. However, the accurate detection of early-stage oral cancer and oral epithelial dysplasia is particularly difficult for conventional oral examinations because these lesions sometimes resemble benign lesions or healthy oral mucosa tissues. Although oral biopsy has been considered the gold standard for accurate diagnosis, it is deemed invasive for patients. For this reason, most clinicians are looking forward to the development of non-invasive diagnostic technologies to detect and distinguish between cancerous and benign lesions. To date, several non-invasive adjunctive fluorescence-based detection systems have improved the accuracy of the detection and diagnosis of oral mucosal lesions. Autofluorescence-based systems can detect lesions as a loss of autofluorescence through irradiation with blue-violet lights. Photodynamic diagnosis using 5-aminolevulinic acid (ALA-PDD) shows the presence of very early oral cancers and oral epithelial dysplasia as a red fluorescent area. In this article, currently used fluorescence-based diagnostic methods are introduced and discussed from a clinical point of view.

scholarly journals Development of a Novel Embedded Relay Lens Microscopic Hyperspectral Imaging System for Cancer Diagnosis: Use of the Mice with Oral Cancer to Be the Example

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Yao-Fang Hsieh ◽  
Mang Ou-Yang ◽  
Jeng-Ren Duann ◽  
Jin-Chern Chiou ◽  
Nai-Wen Chang ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Hyperspectral Imaging ◽  
Cancer Diagnosis ◽  
Spectral Resolution ◽  
Imaging System ◽  
Early Stage ◽  
High Spectral Resolution ◽  
Normal Cells ◽  
M 10

This paper develops a novel embedded relay lens microscopic hyperspectral imaging system (ERL-MHSI) with high spectral resolution (nominal spectral resolution of 2.8 nm) and spatial resolution (30 μm × 10 μm) for cancer diagnosis. The ERL-MHSI system has transmittance and fluorescence mode. The transmittance can provide the morphological information for pathological diagnosis, and the fluorescence of cells or tissue can provide the characteristic signature for identification of normal and abnormal. In this work, the development of the ERL-MHSI system is discussed and the capability of the system is demonstrated by diagnosing early stage oral cancer of twenty mice in vitro. The best sensitivity for identifying normal cells and squamous cell carcinoma (SCC) was 100%. The best specificity for identifying normal cells and SCC was 99%. The best sensitivity for identifying normal cells and dysplasia was 99%. The best specificity for identifying normal cells and dysplasia was 97%. This work also utilizes fractal dimension to analyze the morphological information and find the significant different values between normal and SCC.

scholarly journals Facile Synthesis of Holmium-Based Nanoparticles as a CT and MRI Dual-Modal Imaging for Cancer Diagnosis

2021 ◽  
Vol 11 ◽  
Author(s):  
Tianqi Zhang ◽  
Mo Deng ◽  
Lei Zhang ◽  
Zerun Liu ◽  
Yang Liu ◽  
...  
Keyword(s):  
Water Solubility ◽  
Rapid Development ◽  
Modern Medicine ◽  
Cancer Diagnostics ◽  
Mri Imaging ◽  
X Ray ◽  
Low Cytotoxicity ◽  
Magnetic Resonance Imaging Mri ◽  
Intensive Investigation

The rapid development of medical imaging has boosted the abilities of modern medicine. As single modality imaging limits complex cancer diagnostics, dual-modal imaging has come into the spotlight in clinical settings. The rare earth element Holmium (Ho) has intrinsic paramagnetism and great X-ray attenuation due to its high atomic number. These features endow Ho with good potential to be a nanoprobe in combined x-ray computed tomography (CT) and T2-weighted magnetic resonance imaging (MRI). Herein, we present a facile strategy for preparing HoF3 nanoparticles (HoF3 NPs) with modification by PEG 4000. The functional PEG-HoF3 NPs have good water solubility, low cytotoxicity, and biocompatibility as a dual-modal contrast agent. Currently, there is limited systematic and intensive investigation of Ho-based nanomaterials for dual-modal imaging. Our PEG-HoF3 NPs provide a new direction to realize in vitro and vivo CT/MRI imaging, as well as validation of Ho-based nanomaterials will verify their potential for biomedical applications.

scholarly journals Combinatorial Characterization of Saliva for Oral Precancer Diagnostics

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 212s-212s
Author(s):  
N. Sharma ◽  
S. Bag ◽  
K. Biswas ◽  
M. Pal ◽  
R.R. Paul ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Oral Submucous Fibrosis ◽  
Cancer Diagnostics ◽  
Matrix Analysis ◽  
Sample Collection ◽  
Combinatorial Characterization ◽  
Oral Potentially Malignant Disorders ◽  
Custom Made ◽  
Component Matrix

Background: Saliva based diagnostic can play an important role in the translational research related to cancer diagnostics and treatment. It is easily available, noninvasive, low storage cost, has less contamination chances with simple collection procedure. Cancers related to tobacco use, including oral cancer account for about 30% of all cancers in males and females. Five years' survival rate remains the same even after decades of advancement of detection, prevention, and treatment of OSCC (oral squamous cell carcinoma) mainly due to late diagnosis of oral potentially malignant disorders (OPMDs). Aim: Combinatorial characterization of saliva, endorsing multidimensional spectroscopic signatures using suitably designed biochamber. Methods: Eighteen saliva samples (6 normal, 6 OSF [oral submucous fibrosis, a type of OPMD] and 6 confirmed OSCC) were collected from GNIDSR (Guru Nanak Institute of Dental Science and Research) Kolkata. Ethical approval was obtained for the study and all the participants were explained the objectives of the study and a written informed consent was obtained from them. Participant's demographic detail and clinical characteristics were also recorded. The participants were asked not to consume food 1 hour before sample collection and were suggested to rinse their mouth 30 minutes prior to saliva expectoration to minimize the contamination of food in saliva. Empty, sterile, graded tubes were used for this purpose. The subjects were asked not to clear nose or throat during the process of saliva expectoration to avoid forced phlegm from other part of the respiratory tract. The saliva samples were then immediately transferred to −20 degrees and later in −80 degrees for long storage. The electrical impedance (EI) of saliva was measured in custom made biochambers with copper electrodes. The EI was measured for the frequency sweep from 20 Hz to 2 MHz using an impedance analyzer. Apart from EI measurement, the corresponding samples were subjected to FTIR (Fourier-transform IR spectroscopy) analysis. SPSS and OMNIC software were used for the data analysis of EI and FTIR respectively. Results: [Table: see text][Table: see text][Table: see text][ Table A , B & C represents descriptive statistics, correlation matrix and component matrix respectively. The multivariate analysis of the FTIR data indicates the significant differences ( P < 0.005) among the different study groups such as normal, OSF and OSCC. The eigen values (normal 0.917, OSF 0.962, OSCC 0.975) from component matrix analysis also indicate the same. Conclusion: The spectroscopic characterization (EI and FTIR) of saliva was effective in evaluating normal and OPMD condition. This noninvasive paradigm can serve as a complimentary technique to the existing gold standard methods for the early detection of oral cancer.

Diagnostic methods for confirming drug-allergy – the lymphocyte transformation test in dermatology

2008 ◽  
Vol 149 (24) ◽  
pp. 1107-1114
Author(s):  
Sarolta Makó ◽  
Réka Lepesi-Benkő ◽  
Márta Marschalkó ◽  
Gyöngyvér Soós ◽  
Sarolta Kárpáti
Keyword(s):  
Drug Allergy ◽  
Lymphocyte Transformation ◽  
Lymphocyte Transformation Test ◽  
Diagnostic Methods

A gyógyszermellékhatások felismerése és a tüneteket kiváltó gyógyszer oki szerepének bizonyítása komoly felkészültséget igényel. E közlemény célja a gyógyszerallergiás reakciók diagnosztikai lehetőségeinek rövid áttekintése és a lymphocytatranszformációs teszt gyógyszer-hiperszenzitivitási reakciókban való bizonyító szerepének bőrgyógyászati szempontok szerinti értékelése. A lymphocytatranszformációs teszt azon a megfigyelésen alapul, hogy a gyógyszerrel való első találkozáskor kialakult antigénspecifikus T-sejtek osztódni kezdenek az antigénnel való in vitro megismételt találkozás után. A szenzibilizációt az osztódó T-sejtekbe történő 3 H-timidin-beépülés mértéke jelzi. A hatóanyag-specifikus T-sejtek szinte mindig részt vesznek a gyógyszerallergiás reakciókban, ezért a vizsgálat előnye, hogy sok gyógyszernél és különböző immunreakciók eseteiben egyaránt jól alkalmazható. Hátránya a munkaigényesség, valamint az, hogy specificitásának és szenzitivitásának bizonyításához hiányoznak a széles körű, nagy beteganyagon elvégzett tanulmányok. Emiatt a teszt nem egyértelműen elfogadott a gyógyszerallergia igazolására. Hiányosságai ellenére azonban, jobb prediktív értékű egyéb vizsgálatok hiányában, a lymphocytatranszformációs tesztnek fontos szerepe van a gyógyszerallergiák diagnosztizálása terén.

On the effect of the periodicity of diagnostic measurements on improving the reliability of high-voltage transformers

2019 ◽  
Vol 12 (1) ◽  
pp. 18-21
Author(s):  
V. A. Tikhonov
Keyword(s):  
Service Life ◽  
High Voltage ◽  
Chromatographic Analysis ◽  
Aluminum Industry ◽  
Early Stage ◽  
Diagnostic Methods ◽  
Transformer Oil ◽  
Operating Voltage ◽  
Dissolved Gases ◽  
The Aluminum Industry

The influence of the periodicity of diagnostic measurements on the operational state of high-voltage transformers is considered. Examples of defects of switching devices of converter transformers and methods for their detection are given. The rationale for the importance of recognition of defects at an early stage of their occurrence is given. The influence of the multiplicity of overvoltages on the service life of converter transformers in the aluminum industry is investigated. Based on the analysis of the service life of converter transformers of one of the powerful aluminum plants, where 83% of converter transformers have exhausted their standard service life, it is shown that in 40% of cases it would be possible to avoid their failures, with timely detection and elimination of emerging defects. Examples of defects of OLR (on-load regulators) of converter transformers and methods for their detection are given. The importance of recognition of defects at an early stage of their occurrence is substantiated. A method for chromatographic analysis of dissolved gases in transformer oil has been developed for the qualitative determination of defects and ways to eliminate them. Examples of diagnostics of converter transformers at operating voltage and working load are given, providing the best quality operational characteristics of converter transformers. The periodicity of diagnostic measurements and the reduction of defects and failures has been substantiated. The question of diagnosing the state of the converter transformer TDNP-40000/10 at an enterprise of the aluminum industry is investigated. Currently, diagnostic methods are being developed based on chromatographic analysis of dissolved gases in transformer oil. The presented method of evaluating the operating parameters of transformers allows for the safe operation of high-voltage transformers and enables to increase the reliability of the power supply scheme of aluminum industry plants.

Analysis of Chinese herbal formulae recommended for COVID-19 in different schemes in China: A data mining Approach

2020 ◽  
Vol 23 ◽  
Author(s):  
LiWei Yin ◽  
YaCen Gao ◽  
ZiPing Li ◽  
MengYu Wang ◽  
KaiXin Chen
Keyword(s):  
Data Mining ◽  
Early Stage ◽  
Herbal Medicines ◽  
Chinese Herbs ◽  
Recovery Stage ◽  
Prescription Pattern ◽  
Middle Stage ◽  
Chinese Herbal ◽  
Severe Stage ◽  
Herbal Formulae

Background: Novel coronavirus pneumonia (NCP), or coronavirus disease 2019 (COVID-19), is a worldwide health threat that has affected millions of people globally. Traditional Chinese medicine (TCM) has been introduced for the treatment of COVID-19. However, efficacy differs among herbal medicines, and the ideal prescription pattern for TCM herbal formulae for COVID-19 treatment needs to be explored. Therefore, the data mining method has been used in this study to analyze the TCM prescription pattern for COVID-19. Objective: The aim of this study was to analyze the TCM prescription pattern in Regional Schemes in China for COVID-19 in order to provide a new reference for the use of TCM in COVID-19 treatment. Method: By searching the TCM treatment protocols of COVID-19 in 23 Regional Schemes, TCM syndromes and herbal medicines were analyzed by data mining. The Ancient and Modern Medical Case Cloud Platform (V2.1 personal Edition) was used to perform frequency statistics, correlation analysis, and cluster analysis. A total of 82 TCM syndromes and 171 Chinese herbal medicines were found. The course of the disease can be divided into the early stage, middle stage, severe stage, and recovery stage. Results: In the early stage, the focus is primarily on resolving dampness, dispelling cold, and diffusing the lungs. In the middle stage, the treatment priority is clearing heat and resolving toxins, promoting lung function, and relieving asthma. In the severe stage, the focus is on tonifying Qi, restoring Yang, and relieving depletion of Yin and Yang. In the recovery stage, the main treatment is to invigorate the spleen and regulate Qi, tonify Qi, nourish Yin, and clear residual disease evil. There are certain differences between the Regional Schemes and the Nation Schemes, but the core prescription pattern of the former is consistent with the latter. The effectiveness of these 171 Chinese herbs include but are not limited to inhibiting COVID-19, strengthening immune system function, preventing heart failure, acting as antioxidants, oxidative stress inhibitory effects, maintaining organ function, and improving leukocyte survival. Conclusion: This study may help to improve understanding of TCM herbal prescription pattern, practices, reveal the efficacy of combinations of Chinese herbs, and provide new ideas for TCM treatment for COVID-19.

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