A nomogram for predicting the risk of neck node metastasis in pathologically node-negative oral cavity carcinoma.

Abstract:

OBJECTIVE:To generate a nomogram for predicting the risk of neck node metastasis in pathologically node-negative patients using a combination of variables comprising of protein expression, ultrastructural alterations and clinicopathological parameters. MATERIALS AND METHODS:Surgically removed oral tumours (n = 103) were analysed for the expression of desmosomal and hemidesmosomal assembly proteins by immunohistochemistry and ultrastructural alterations by transmission electron microscopy (TEM). Protein expression, ultrastructural alterations and clinicopathological variables were used to construct nomogram from the training set in 75 patients. Clinical utility of the nomogram was validated in a discrete set of 28 patients. RESULTS:Univariate and multivariate analyses were performed on the training set, and obtained significant variables comprising of integrin β4 expression (p = .027), number of hemidesmosomes (p = .027)/desmosomes (p = .046), tumour differentiation grade (p = .033) and tumour thickness (p = .024) were used for construction of the nomogram. The area under the curve was calculated for both training 0.821 (95% CI 0.725-0.918) and validation sets 0.880 (95% CI 0.743-1.000). The nomogram demonstrated a predictive accuracy of 73.3% and 78.6% with the sensitivity of 81.4% and 83.3% in the training and validation sets, respectively. CONCLUSIONS:The nomogram constructed on postsurgical tumour samples will be a value addition to histopathology for the detection of neck node metastasis in pathologically node-negative patients.

journal_name

Oral Dis

journal_title

Oral diseases

authors

Sawant SS,Dongre H,Ahire C,Sharma S,Kannan S,Mahadik S,Chaukar D,Lukmani F,Patil A,D'Cruz A,Vaidya MM,Dongre P

doi

10.1111/odi.12696

subject

Has Abstract

pub_date

2017-11-01 00:00:00

pages

1087-1098

issue

8

eissn

1354-523X

issn

1601-0825

journal_volume

23

pub_type

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