scholarly journals The Self-Reported Knowledge, Attitude and the Practices Regarding the Early Detection of Oral Cancer and Precancerous Lesions among the Practising Dentists of Dakshina Kannada—A Pilot Study

Author(s):  
Shaila M
2007 ◽  
Vol 45 (7) ◽  
pp. 590-591 ◽  
Author(s):  
Ya-Wei Chen ◽  
Jiun-Sheng Lin ◽  
Jenny Hwai-Jen Fong ◽  
I-Kai Wang ◽  
Shen-Ju Chou ◽  
...  

2013 ◽  
Vol 7 (3) ◽  
pp. 161-165 ◽  
Author(s):  
S Saxena ◽  
M Kaur ◽  
YP Samantha ◽  
G Chawla ◽  
G Yadav

ABSTRACT Early detection of oral cancers is not easy, because oral precancerous lesions and early oral cancers can mimic many benign conditions in the mouth, leading to delays in diagnosis and treatment. There is a need to emphasize the early diagnosis of oral cancers in order to reduce the unacceptably high morbidity and mortality. Oral exfoliative cytology can be a powerful tool for early detection of malignant and premalignant lesions as well as for some viral and fungal infections. The use of oral exfoliative cytology in clinical practice declined due to the subjective nature of its interpretation and because there may be only a small number of abnormal cells identifiable in a smear. The more recent application of quantitative techniques, together with advances in immunocytochemistry, has refined the potential role of cytology, stimulating a reappraisal of its value in the diagnosis of oral cancer. The limitations of the method should be thoroughly understood and appreciated by the dental clinician. The aim of the publication is to encourage maximum participation of dental professional in early detection and control of oral cancer by means of early diagnosis through use of cytological smear.


2012 ◽  
Vol 11 (2) ◽  
pp. 181-188 ◽  
Author(s):  
I. Szanto ◽  
L. Mark ◽  
A. Bona ◽  
G. Maasz ◽  
B. Sandor ◽  
...  

1998 ◽  
Vol 14 (3) ◽  
pp. 202-210 ◽  
Author(s):  
Suzanne Skiffington ◽  
Ephrem Fernandez ◽  
Ken McFarland

This study extends previous attempts to assess emotion with single adjective descriptors, by examining semantic as well as cognitive, motivational, and intensity features of emotions. The focus was on seven negative emotions common to several emotion typologies: anger, fear, sadness, shame, pity, jealousy, and contempt. For each of these emotions, seven items were generated corresponding to cognitive appraisal about the self, cognitive appraisal about the environment, action tendency, action fantasy, synonym, antonym, and intensity range of the emotion, respectively. A pilot study established that 48 of the 49 items were linked predominantly to the specific emotions as predicted. The main data set comprising 700 subjects' ratings of relatedness between items and emotions was subjected to a series of factor analyses, which revealed that 44 of the 49 items loaded on the emotion constructs as predicted. A final factor analysis of these items uncovered seven factors accounting for 39% of the variance. These emergent factors corresponded to the hypothesized emotion constructs, with the exception of anger and fear, which were somewhat confounded. These findings lay the groundwork for the construction of an instrument to assess emotions multicomponentially.


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