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Prognostic efficiency of clinicopathologic scoring to predict cervical lymph node metastasis in oral squamous cell carcinoma
Background: The extent of involvement of cervical lymph nodes is known to be the most important prognosticator in oral squamous cell carcinoma (SCC) that significantly affects the survival rate of patients. The clinical, radiological and pathological factors that can predict cervical lymph node meta...
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Published in: | Journal of oral and maxillofacial pathology : JOMFP 2019-01, Vol.23 (1), p.36-42 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Background: The extent of involvement of cervical lymph nodes is known to be the most important prognosticator in oral squamous cell carcinoma (SCC) that significantly affects the survival rate of patients. The clinical, radiological and pathological factors that can predict cervical lymph node metastasis are yet to be ascertained clearly, which poses a challenge for the surgeon to determine the extent of neck dissection.
Aim: This study aims to identify the clinical and histopathologic predictors of lymph node metastasis among patients with oral SCC and to devise a scoring system based on those predictors to aid in better clinical decision-making regarding the extent of neck dissection.
Setting: Malabar Cancer Centre, a specialized tertiary cancer care center in Kerala, India.
Methods: A retrospective review of 160 patient records and biopsy slides collected and preserved between June 2014 and May 2016.
Conclusion: The clinicopathologic parameters such as site of cancer (P = 0.03), histologic differentiation (P = 0.03), shape of rete pegs (P = 0.002), pattern of invasion (P = 0.0001) and depth of invasion >3 mm (P = 0.016) were significantly associated with the risk of lymph node metastasis. The risk score devised based on these predictors serves as an efficient tool in aiding clinical decision-making regarding the extent of neck dissection. |
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ISSN: | 0973-029X 1998-393X |
DOI: | 10.4103/jomfp.JOMFP_132_17 |