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Correlation of imaging and clinical features in the assessment of mandibular invasion of oral carcinomas.


Kalavrezos, N D; Grätz, K W; Sailer, H F; Stahel, W A (1996). Correlation of imaging and clinical features in the assessment of mandibular invasion of oral carcinomas. International Journal of Oral and Maxillofacial Surgery, 25(6):439-445.

Abstract

The detection in the mandible of early local spreading of adjacent primary malignancies poses a difficult problem. A survey of 60 patients suspected of carcinomatous mandibular infiltration was undertaken, and the most important clinical and imaging data were studied. Tumor localization and bone scintigraphy proved to offer the most important predictive power. A decision tree and a logistic regression model which determines a score function combining these characteristics were designed. This decision tree improves the sensitivity and specificity of the preoperative assessment and provides the surgeon with an algorithm for the accurate estimation of early mandibular invasion.

The detection in the mandible of early local spreading of adjacent primary malignancies poses a difficult problem. A survey of 60 patients suspected of carcinomatous mandibular infiltration was undertaken, and the most important clinical and imaging data were studied. Tumor localization and bone scintigraphy proved to offer the most important predictive power. A decision tree and a logistic regression model which determines a score function combining these characteristics were designed. This decision tree improves the sensitivity and specificity of the preoperative assessment and provides the surgeon with an algorithm for the accurate estimation of early mandibular invasion.

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28 citations in Web of Science®
31 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed
Communities & Collections:04 Faculty of Medicine > Center for Dental Medicine > Clinic for Cranio-Maxillofacial Surgery
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:1 December 1996
Deposited On:11 Feb 2008 12:23
Last Modified:05 Apr 2016 12:19
Publisher:Elsevier
ISSN:0901-5027
Publisher DOI:10.1016/S0901-5027(96)80079-8
PubMed ID:8986545

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