Literature DB >> 16223632

Sonographic texture characterization of salivary gland tumors by fractal analyses.

Toru Chikui1, Kenji Tokumori, Kazunori Yoshiura, Kazunari Oobu, Seiji Nakamura, Katsumasa Nakamura.   

Abstract

The purpose of this study was to quantify the sonographic images of salivary gland tumors. The study population consisted of 21 pleomorphic adenomas, seven Warthin's tumors and 15 malignant tumors. We selected the region-of-interest within the lesion. We made a contour map and evaluated the complexity of the contour lines using the 2-D box-counting (BC) method. We also evaluated the 2-D distribution of the pixel values by the 3-D BC method and the fractional brownian movement (F BM) model. The fractal dimension by the 2-D BC method of pleomorphic adenoma was significantly larger than that of malignant tumors. The FD by the 3-D BC method of pleomorphic adenoma was significantly larger than both that of Warthin's tumors and that of malignant tumors. The Hurst index obtained by the F BM model of pleomorphic adenoma was significantly lower than that of the malignant tumor.

Entities:  

Mesh:

Year:  2005        PMID: 16223632     DOI: 10.1016/j.ultrasmedbio.2005.05.012

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  10 in total

1.  Texture analysis of CT images in the characterization of oral cancers involving buccal mucosa.

Authors:  J V Raja; M Khan; V K Ramachandra; O Al-Kadi
Journal:  Dentomaxillofac Radiol       Date:  2012-01-12       Impact factor: 2.419

2.  Image resolution and exposure time of digital radiographs affects fractal dimension of periapical bone.

Authors:  B Güniz Baksi; Aleš Fidler
Journal:  Clin Oral Investig       Date:  2011-11-29       Impact factor: 3.573

3.  [Current aspects in ultrasonography of the salivary glands].

Authors:  H-J Welkoborsky
Journal:  HNO       Date:  2011-02       Impact factor: 1.284

4.  Sonoelastography of parotid gland tumours: initial experience and identification of characteristic patterns.

Authors:  Nils Klintworth; Konstantinos Mantsopoulos; Johannes Zenk; Georgios Psychogios; Heinrich Iro; Alessandro Bozzato
Journal:  Eur Radiol       Date:  2012-01-22       Impact factor: 5.315

5.  Fractal analysis of periapical bone from lossy compressed radiographs: a comparison of two lossy compression methods.

Authors:  B Güniz Baksi; Aleš Fidler
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

6.  Dynamic contrast-enhanced ultrasound for differential diagnosis of submandibular gland disease.

Authors:  Sebastian Strieth; Vanessa Siedek; Margarita Rytvina; Robert Gürkov; Alexander Berghaus; Dirk-André Clevert
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-04-27       Impact factor: 2.503

7.  Use of fractal analysis in dental images: a systematic review.

Authors:  Camila Nao Kato; Sâmila G Barra; Núbia Pk Tavares; Tânia Mp Amaral; Cláudia B Brasileiro; Ricardo A Mesquita; Lucas G Abreu
Journal:  Dentomaxillofac Radiol       Date:  2019-08-20       Impact factor: 2.419

8.  The use of fractal dimension analysis in estimation of blood vessels shape in transplantable mammary adenocarcinoma in Wistar rats after photodynamic therapy combined with cysteine protease inhibitors.

Authors:  Kamil Jurczyszyn; Beata J Osiecka; Piotr Ziółkowski
Journal:  Comput Math Methods Med       Date:  2012-09-06       Impact factor: 2.238

Review 9.  Quantification of heterogeneity as a biomarker in tumor imaging: a systematic review.

Authors:  Lejla Alic; Wiro J Niessen; Jifke F Veenland
Journal:  PLoS One       Date:  2014-10-20       Impact factor: 3.240

10.  Hepatocellular Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods.

Authors:  Delia Mitrea; Radu Badea; Paulina Mitrea; Stelian Brad; Sergiu Nedevschi
Journal:  Sensors (Basel)       Date:  2021-03-21       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.