Literature DB >> 11323983

An improved three-dimensional direct numerical modelling and thermal analysis of a female breast with tumour.

E Y Ng1, N M Sudharsan.   

Abstract

It is well known that malignant tumour tissue generally has higher metabolic and blood perfusion rates than most normal tissues. The authors aim to show that the tissue temperature profile within the breast and the surface temperature profile can be quantified to develop an expert system or diagnostic tool for breast cancer detection. The surface temperature and tissue temperature profiles are analysed for a three-dimensional numerical model of a normal breast and a breast with a tumour. Tumours of different sizes are placed at various locations. In the model, the tissue temperature profile is distorted at the tumour location and was found to compare well with in vivo tests. It was also found that as the tumour was moved to deeper locations its effect on surface temperature was lower. It was observed that small tumours in deeper regions do not have a significant isolated impact on the surface. The numerical results could also capture a shift in the position of the tumour. For tumours greater than 10 mm in the superficial regions and of significant size in deeper regions, it could be seen that the surface temperature distribution of the breast is directly related to the position and size of the tumour embedded in it. The feasibility of providing a diagnostic tool in conjunction with numerical modelling and high-resolution thermograms is also discussed.

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Year:  2001        PMID: 11323983     DOI: 10.1243/0954411011533508

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  11 in total

Review 1.  Mechanisms of Laser-Tissue Interaction: II. Tissue Thermal Properties.

Authors:  Mohammad Ali Ansari; Mohsen Erfanzadeh; Ezeddin Mohajerani
Journal:  J Lasers Med Sci       Date:  2013

2.  Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositions.

Authors:  Asnida Abd Wahab; Maheza Irna Mohamad Salim; Mohamad Asmidzam Ahamat; Noraida Abd Manaf; Jasmy Yunus; Khin Wee Lai
Journal:  Med Biol Eng Comput       Date:  2015-10-13       Impact factor: 2.602

3.  Parametric study of the biopotential equation for breast tumour identification using ANOVA and Taguchi method.

Authors:  Eddie Y K Ng; W Kee Ng
Journal:  Med Biol Eng Comput       Date:  2006-03       Impact factor: 2.602

4.  Application of K- and fuzzy c-means for color segmentation of thermal infrared breast images.

Authors:  M EtehadTavakol; S Sadri; E Y K Ng
Journal:  J Med Syst       Date:  2010-02       Impact factor: 4.460

5.  Thermal analysis of cancerous breast model.

Authors:  Arjun Chanmugam; Rajeev Hatwar; Cila Herman
Journal:  Int Mech Eng Congress Expo       Date:  2012

Review 6.  Review of Thermal and Physiological Properties of Human Breast Tissue.

Authors:  Jeantide Said Camilleri; Lourdes Farrugia; Sergio Curto; Dario B Rodrigues; Laura Farina; Gordon Caruana Dingli; Julian Bonello; Iman Farhat; Charles V Sammut
Journal:  Sensors (Basel)       Date:  2022-05-20       Impact factor: 3.847

7.  Parameter estimation of breast tumour using dynamic neural network from thermal pattern.

Authors:  Elham Saniei; Saeed Setayeshi; Mohammad Esmaeil Akbari; Mitra Navid
Journal:  J Adv Res       Date:  2016-06-03       Impact factor: 10.479

8.  Segmenting breast cancerous regions in thermal images using fuzzy active contours.

Authors:  Hossein Ghayoumi Zadeh; Javad Haddadnia; Omid Rahmani Seryasat; Sayed Mohammad Mostafavi Isfahani
Journal:  EXCLI J       Date:  2016-08-26       Impact factor: 4.068

9.  The influence of size, depth and histologic characteristics of invasive ductal breast carcinoma on thermographic properties of the breast.

Authors:  Marko Mance; Krešimir Bulic; Anko Antabak; Milan Miloševic
Journal:  EXCLI J       Date:  2019-07-22       Impact factor: 4.068

10.  Computer simulation in conjunction with medical thermography as an adjunct tool for early detection of breast cancer.

Authors:  Eddie Y-K Ng; N M Sudharsan
Journal:  BMC Cancer       Date:  2004-04-28       Impact factor: 4.430

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