Literature DB >> 24679956

Computed tomography for the diagnosis of mandibular invasion caused by head and neck cancer: a systematic review comparing contrast-enhanced and plain computed tomography.

Chunjie Li1, Yi Men1, Wenbin Yang2, Jian Pan3, Jun Sun2, Longjiang Li4.   

Abstract

PURPOSE: To detect the diagnostic efficacy of computed tomography (CT) in distinguishing mandibular invasion caused by head and neck cancer and to compare the accuracy of contrast-enhanced and plain CT in the diagnosis.
MATERIALS AND METHODS: Studies designed as cohort studies that detected the diagnostic efficacy of CT on mandibular invasion (including bone cortex and bone marrow invasion) and mandibular medullary alone (bone marrow invasion) were included. The included studies were required to use the pathologic diagnosis as the reference standard and reported true-positive, false-positive, false-negative, true-positive, and related data. Thirteen databases were electronically and manually searched to retrieve any possible related studies. Two reviewers independently conducted the study inclusion, data extraction, and assessment of the quality of the included studies. Meta-diSc, version 1.4, and STATA, version 11.0, were used to conduct the meta-analysis.
RESULTS: A total of 30 studies with 1459 patients were included in the present study. Of those patients, 1,257 underwent CT and were accounted for in the meta-analysis. Of the included studies, 1 had a low risk and 6 had a high risk of bias; 23 studies had an unclear risk of bias. Meta-regression showed that the slight clinical heterogeneity did not influence the outcome (P > .10). The meta-analysis showed that CT for the diagnosis of mandibular invasion had a pooled sensitivity of 0.72, specificity of 0.90, positive likelihood ratio (+LR) of 5.33, negative likelihood ratio (-LR) of 0.36, diagnostic odds ratio (DOR) of 21.41, area under the curve (AUC) of 0.9022, and Q* (the value of the sensitivity or specificity when the sensitivity equals the specificity on the summary receiver operating characteristics curve) of 0.8336. The CT findings for mandibular medullar invasion had a sensitivity of 0.81, specificity of 0.85, +LR of 4.76, -LR of 0.24, DOR of 29.49, AUC of 0.9240, and Q* of 0.8580. No statistical significance was found in the sensitivity (P = .809), specificity (P = .27), AUC (P = .4296), and Q* (P = .4277) between the contrast-enhanced and plain CT scans.
CONCLUSIONS: The present clinical evidence has shown that CT had an acceptable diagnostic value in detecting mandibular invasion caused by head and neck cancer. The high specificity of CT predicted it would be helpful when it was used to confirm the clinical diagnosis of bone invasion. Contrast-enhanced and plain CT scans had a similar diagnostic efficacy.
Copyright © 2014 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24679956     DOI: 10.1016/j.joms.2014.02.014

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  6 in total

Review 1.  Contemporary Approach to Locally Advanced Oral Cavity Squamous Cell Carcinoma.

Authors:  Christopher M K L Yao; Edward I Chang; Stephen Y Lai
Journal:  Curr Oncol Rep       Date:  2019-11-07       Impact factor: 5.075

Review 2.  [Single-photon emission computed tomography for the diagnosis of mandibular invasion caused by oral cancers: a systematic review and Meta-analysis].

Authors:  Wang Xiaonian; Luo Fenjuan; Qiao Xianghe; Yang Wenbin; Lin Jie; Li Chunjie
Journal:  Hua Xi Kou Qiang Yi Xue Za Zhi       Date:  2017-08-01

3.  Diagnostic abilities of 3T MRI for assessing mandibular invasion of squamous cell carcinoma in the oral cavity: comparison with 64-row multidetector CT.

Authors:  Noriko Suzuki; Ami Kuribayashi; Kei Sakamoto; Junichiro Sakamoto; Shin Nakamura; Hiroshi Watanabe; Hiroyuki Harada; Tohru Kurabayashi
Journal:  Dentomaxillofac Radiol       Date:  2019-02-26       Impact factor: 2.419

Review 4.  Magnetic resonance imaging for diagnosis of mandibular involvement from head and neck cancers: a systematic review and meta-analysis.

Authors:  Chunjie Li; Wenbin Yang; Yi Men; Fanglong Wu; Jian Pan; Longjiang Li
Journal:  PLoS One       Date:  2014-11-14       Impact factor: 3.240

5.  Utility of CT and MRI in assessment of mandibular involvement in oral cavity cancer.

Authors:  Andreea Nae; Gerard O'Leary; Linda Feeley; Cassie Fives; Brendan Fitzgerald; Elena Chiriac; Patrick Sheahan
Journal:  World J Otorhinolaryngol Head Neck Surg       Date:  2019-03-22

Review 6.  Dual-Energy CT in Head and Neck Imaging.

Authors:  Elise D Roele; Veronique C M L Timmer; Lauretta A A Vaassen; Anna M J L van Kroonenburgh; A A Postma
Journal:  Curr Radiol Rep       Date:  2017-03-29
  6 in total

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