Proton HR-MAS MR spectroscopy of oral squamous cell carcinoma tissues: an ex vivo study to identify malignancy induced metabolic fingerprints

Metabolomics ◽  
2010 ◽  
Vol 7 (2) ◽  
pp. 278-288 ◽  
Author(s):  
Shatakshi Srivastava ◽  
Raja Roy ◽  
Vivek Gupta ◽  
Ashish Tiwari ◽  
Anand N. Srivastava ◽  
...  
Author(s):  
Veronika Shavlokhova ◽  
Christa Flechtenmacher ◽  
Sameena Sandhu ◽  
Michael Vollmer ◽  
Jürgen Hoffmann ◽  
...  

2020 ◽  
Vol 9 ◽  
Author(s):  
Shayan Fakurnejad ◽  
Giri Krishnan ◽  
Stan van Keulen ◽  
Naoki Nishio ◽  
Andrew C. Birkeland ◽  
...  

2021 ◽  
Vol 10 (22) ◽  
pp. 5326
Author(s):  
Veronika Shavlokhova ◽  
Sameena Sandhu ◽  
Christa Flechtenmacher ◽  
Istvan Koveshazi ◽  
Florian Neumeier ◽  
...  

Background: Ex vivo fluorescent confocal microscopy (FCM) is a novel and effective method for a fast-automatized histological tissue examination. In contrast, conventional diagnostic methods are primarily based on the skills of the histopathologist. In this study, we investigated the potential of convolutional neural networks (CNNs) for automatized classification of oral squamous cell carcinoma via ex vivo FCM imaging for the first time. Material and Methods: Tissue samples from 20 patients were collected, scanned with an ex vivo confocal microscope immediately after resection, and investigated histopathologically. A CNN architecture (MobileNet) was trained and tested for accuracy. Results: The model achieved a sensitivity of 0.47 and specificity of 0.96 in the automated classification of cancerous tissue in our study. Conclusion: In this preliminary work, we trained a CNN model on a limited number of ex vivo FCM images and obtained promising results in the automated classification of cancerous tissue. Further studies using large sample sizes are warranted to introduce this technology into clinics.


2013 ◽  
Vol 1 (2) ◽  
pp. 02-06
Author(s):  
SM Anwar Sadat ◽  
Sufia Nasrin Rita ◽  
Shoma Banik ◽  
Md Nazmul Hasan Khandker ◽  
Md Mahfuz Hossain ◽  
...  

A cross sectional study of 29 cases of oral squamous cell carcinoma with or without  cervical lymph node metastasis was done among Bangladeshi patients from January 2006 to December 2007. Majority of the study subjects (34.5%) belonged to the age group of 40-49 years. 58.6% of the study subjects were male, while remaining 41.4% of them were female. 51.7% of the lesions were located in the alveolar ridge where the other common sites were buccal mucosa (27.6%) and retro molar area (13.8%). Half of the study subjects (51.7%) were habituated to betel quid chewing followed by 37.9% and 10.3% were habituated to smoking and betel quid-smoking respectively. Grade I lesions was most prevalent (75.9%) in the study subjects.  Majority of cases presented with Stage IV lesions (55.2%). The sensitivity, specificity, positive predictive value, negative predictive value & accuracy of clinical palpation method for determining metastatic cervical lymph nodes were 93.33%, 64.29%, 73.68%, 90% and 79.3% respectively. Careful and repeated clinical palpation plays important role in evaluation of cervical lymph nodes though several modern techniques may help additionally in the management of oral cancer.DOI: http://dx.doi.org/10.3329/updcj.v1i2.13978 Update Dent. Coll. j. 2011: 1(2): 02-06


2011 ◽  
Vol 3 (6) ◽  
pp. 419-422
Author(s):  
Dr. Shool Rohit S Dr. Shool Rohit S ◽  
◽  
Dr. Anand P Zingade ◽  
Dr. Manish Kumar

Sign in / Sign up

Export Citation Format

Share Document