• Users Online: 409
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
Year : 2021  |  Volume : 9  |  Issue : 2  |  Page : 88-93

Epithelial dysplasia as a predictor of malignant transformation in oral potentially malignant disorders: The concepts, controversies, and challenges

1 Department of Oral Pathology and Microbiology, Amrita School of Dentistry, AIMS Campus, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India
2 Department of Periodontology, Royal Dental College, Palakkad, Kerala, India

Correspondence Address:
Dr. Mahija Janardhanan
Department of Oral Pathology, Amrita School of Dentistry, Amrita Vishwa Vidyapeetham, AIMS Campus, AIMS Ponekkara (P.O), Kochi - 682 041, Kerala
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jhnps.jhnps_61_21

Rights and Permissions

Oral potentially malignant disorders (OMPDs) are a group of precursor lesions with varied clinical manifestations which exhibit an increased risk of malignant transformation. Early diagnosis and prevention of oral cancer now focuses more on the early recognition of OPMDs and assessment of their risk of malignant transformation. Although epithelial dysplasia is being widely used as a yardstick to assess the malignant potential of OMPDs, the interobserver variability and lack of reproducibility observed in the interpretations had made their efficacy as a predictor of malignant transformation highly questionable. The aim of this paper is to discuss the concept, controversies, and challenges involved in the utility of epithelial dysplasia as a predictor of malignant transformation.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded71    
    Comments [Add]    

Recommend this journal