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The biomechanics of breast palpation...

Ladeji-Osias, Jumoke Oluwakemi.

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The biomechanics of breast palpation: Single and multi-probe indentation tests.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The biomechanics of breast palpation: Single and multi-probe indentation tests./
作者:	Ladeji-Osias, Jumoke Oluwakemi.
面頁冊數:	147 p.
附註:	Source: Dissertation Abstracts International, Volume: 61-05, Section: B, page: 2639.
Contained By:	Dissertation Abstracts International61-05B.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9973539
ISBN:	0599789204

The biomechanics of breast palpation: Single and multi-probe indentation tests.
Ladeji-Osias, Jumoke Oluwakemi.

The biomechanics of breast palpation: Single and multi-probe indentation tests. - 147 p.

Source: Dissertation Abstracts International, Volume: 61-05, Section: B, page: 2639.

Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick and University of Medicine and Dentistry of New Jersey, 2000.

Breast self-examination and clinical breast examination are recommended as an adjunct to mammography in the detection of breast cancer. One of the components of this physical examination is the palpation of the breast for lumps. Limited data has been published on methods to independently convey tumor properties once detected. This research presents methods of independently conveying tumor size, depth, and compliance from indentation tests on manufactured breast models.

ISBN: 0599789204Subjects--Topical Terms:

1017684
Engineering, Biomedical.

The biomechanics of breast palpation: Single and multi-probe indentation tests.
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245 1 4 $a The biomechanics of breast palpation: Single and multi-probe indentation tests.
300 $a 147 p.
500 $a Source: Dissertation Abstracts International, Volume: 61-05, Section: B, page: 2639.
500 $a Director: Noshir Langrana.
502 $a Thesis (Ph.D.)--Rutgers The State University of New Jersey - New Brunswick and University of Medicine and Dentistry of New Jersey, 2000.
520 $a Breast self-examination and clinical breast examination are recommended as an adjunct to mammography in the detection of breast cancer. One of the components of this physical examination is the palpation of the breast for lumps. Limited data has been published on methods to independently convey tumor properties once detected. This research presents methods of independently conveying tumor size, depth, and compliance from indentation tests on manufactured breast models.
520 $a The experimental methods used in this investigation include single and multi-probe indentation tests. Single probe indentation tests were performed on a synthetic breast model at points above and around included tumors. The force-displacement curves indicated that while tumor discrimination could occur as low as 2.5 N, the application of increasing forces up to 10 N could improve the possibility of detecting a deeply embedded lump. Slipping of the model relative to the indentor was observed. This could be one mechanism that contributes to tumor detection during palpation. To simulate palpation using several fingers, a multi-prong indentor that applies independent forces was designed, built, and tested. An x-y table controlled the position of the test specimen. Both indentor and x-y table control were automated. Real-time force-displacement data from the indentor was collected on a personal computer. This indentor was tested using commercial breast models and cadaveric breasts. The indentor was able to detect the presence of tumors in the breast models and differentiate between breast models.
520 $a Computational methods were developed to predict tumor size and elasticity. Multi-durometer force deflection equations were developed to obtain displacement for given geometric and material properties. Based on these equations, the indentation data revealed regional clusters of elasticity around the tumors. Tumor size was predicted to within 8--19% as the tumor-to-tissue elasticity ratio approached 10:1. To obtain detailed stress and displacement information, finite element analysis was performed. The parameters that affect surface and tumor deformation were modeled. Tissue elasticity and tumor radius had the greatest influence on surface displacement while tumor radius and tumor elasticity were the most important parameters that determined tumor deformation. Indentation tests combined with computational methods were successfully used to predict tumor location and properties.
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