Analysis of an electronic methods for nasopharyngeal carcinoma: Prevalence, diagnosis, challenges and technologies

Abstract

ContextNasopharyngeal Carcinoma (NPC) is a category of cancer in the head and neck regions, and this cancer prevails in the throat area amongst the pharynx and nasal cavity. This NPC represent major health problem in Malaysia, being the fourth most common tumor among Malaysians and third most common cancer disease among Malaysian men. NPC is emphatically connected with Epstein-Barr Virus (EBV) and happens at the back of the nose. ObjectivesThe overall objective of this research is to discuss the prevalence of NPC in selected regions with a focus on Asia Pacific and Malaysia in particular, the categories, severities, symptoms and the existing electronic methods of investigating NPC symptoms. The research also identifies the weaknesses and strengths of the existing methods as inputs for propose improvement. Most part of the study reviewed the current approaches and techniques that are being proposed in other literatures in order to improve the process of investigating NPC. The study critically evaluates these different methods and the problems associated with them. This study provides some review of literatures indicating relationship between cancer milestones configuration and some NPC patient’s attributes. MethodsThis research presents a detailed description of image based NPC, NPC imagery techniques and image types. Next, continue to NPC segmentation, which includes modelling of NPC detection, and subsequently followed by a NPC image classification process. Finally, the research paper discussing the meaning and impact of approaches and the contribution of researchers in this area. The different of NPC symptoms and their basic method of diagnosis were briefly explained. The basic diagnostic procedure is depicted with six procedures where a patient undergoes if he or she is reported with NPC. The six procedures include Trans oral mirror examination, EBV Serology, Circulating EBV DNA in plasma (Plasma DNA), Nasoendoscopy, Biopsy and NP Screen™. FindingThe strengths and weaknesses of the existing methods are identified and identification model for NPC is proposed. The lesson learned from other methods were evaluated and incorporated into proposed model. This study further describes that segmentation, classification and predication of NPC based on many methods Additionally, a literature survey on segmentation, classification and predication of NPC based on real studies has been discussed.