Literature DB >> 12488736

Dynamic multislice helical CT of ameloblastoma and odontogenic keratocyst: correlation between contrast enhancement and angiogenesis.

Katsuhiko Hayashi1, Mitsuhiro Tozaki, Masashi Sugisaki, Nahoko Yoshida, Kunihiko Fukuda, Haruyasu Tanabe.   

Abstract

PURPOSE: The purpose of this study was to assess whether the enhancement characteristics of dynamic multislice helical CT (MS-CT) could help in the differential diagnosis of ameloblastomas and odontogenic keratocysts. The correlation between enhancement characteristics and immunohistochemical findings, especially with regard to angiogenesis, was also evaluated.
METHOD: Dynamic MS-CT was performed in 13 consecutive patients (8 ameloblastoma cases and 5 odontogenic keratocyst cases). The percentage of density increase (Enh%) was measured in dynamic MS-CT images taken during the arterial phase, and microvessel density (MVD) was analyzed using immunohistochemical study with anti-CD31 antibody. The Mann-Whitney U test was used to evaluate the significance of the Enh% or the MVD values between lesion subtypes, and the Spearman correlation coefficient was used to evaluate the correlation between the Enh% and the MVD in ameloblastomas and odontogenic keratocysts.
RESULTS: The Enh% in ameloblastomas was significantly higher than that of odontogenic keratocysts (P < 0.005). The MVD of ameloblastomas was also significantly higher than that of odontogenic keratocysts (P < 0.005). The Enh% values for ameloblastomas and odontogenic keratocysts were positively correlated with the respective MVD values (r = 0.92, P < or = 0.000).
CONCLUSION: Dynamic MS-CT is useful tool for differentiating between ameloblastomas and odontogenic keratocysts on the basis of the contrast enhancement values of intratumoral vascularities during the arterial phase. Furthermore, the Enh% obtained by dynamic MS-CT is correlated with the MVD in ameloblastomas and odontogenic keratocysts.

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Year:  2002        PMID: 12488736     DOI: 10.1097/00004728-200211000-00011

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  10 in total

1.  Imaging features contributing to the diagnosis of ameloblastomas and keratocystic odontogenic tumours: logistic regression analysis.

Authors:  Y Ariji; M Morita; A Katsumata; Y Sugita; M Naitoh; M Goto; M Izumi; Y Kise; K Shimozato; K Kurita; H Maeda; E Ariji
Journal:  Dentomaxillofac Radiol       Date:  2011-03       Impact factor: 2.419

2.  Diffusion-weighted MR imaging of ameloblastomas and keratocystic odontogenic tumors: differentiation by apparent diffusion coefficients of cystic lesions.

Authors:  M Sumi; Y Ichikawa; I Katayama; S Tashiro; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2008-08-21       Impact factor: 3.825

3.  Demonstrating Intertumoural Differences in Vascular-Metabolic Phenotype with Dynamic Contrast-Enhanced CT-PET.

Authors:  K A Miles; R E Williams; D Yu; M R Griffiths
Journal:  Int J Mol Imaging       Date:  2011-04-26

4.  Conservative management of keratocystic odontogenic tumors of jaws.

Authors:  Nurhan Güler; Kemal Sençift; Ozge Demirkol
Journal:  ScientificWorldJournal       Date:  2012-02-14

5.  Odontogenic keratocyst mimicking paradental cyst.

Authors:  Andrea Enrico Borgonovo; Luigi Bernardini; Paola Francinetti; Federica Rizza; Dino Re
Journal:  Case Rep Dent       Date:  2014-07-08

6.  Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs.

Authors:  Zijia Liu; Jiannan Liu; Guangtao Zhai; Jing Han; Zijie Zhou; Qiaoyu Zhang; Hao Wu
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-02-06       Impact factor: 2.924

7.  A Case Report on Acanthomatous Ameloblastoma of the Anterior Mandible with Brief Review on Advanced Imaging Diagnosis.

Authors:  Nivedita Chinam; Aniket Vaidya; Manisha Khorate; Sonam Khurana
Journal:  Indian J Radiol Imaging       Date:  2021-11-30

8.  Contrast-enhanced multidetector computed tomography features and histogram analysis can differentiate ameloblastomas from central giant cell granulomas.

Authors:  Adarsh Ghosh; Meyyappan Lakshmanan; Smita Manchanda; Ashu Seith Bhalla; Prem Kumar; Ongkila Bhutia; Asit Ranjan Mridha
Journal:  World J Radiol       Date:  2022-09-28

9.  Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography.

Authors:  K A Miles; T-Y Lee; V Goh; E Klotz; C Cuenod; S Bisdas; A M Groves; M P Hayball; R Alonzi; T Brunner
Journal:  Eur Radiol       Date:  2012-02-26       Impact factor: 5.315

10.  Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors.

Authors:  Wiwiek Poedjiastoeti; Siriwan Suebnukarn
Journal:  Healthc Inform Res       Date:  2018-07-31
  10 in total

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