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Detection and diagnosis of oral neop...

Clark, Anne Lauren.

Detection and diagnosis of oral neoplasia with confocal microscopy and optical coherence microscopy.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Detection and diagnosis of oral neoplasia with confocal microscopy and optical coherence microscopy./
作者:	Clark, Anne Lauren.
面頁冊數:	171 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6186.
Contained By:	Dissertation Abstracts International64-12B.
標題:	Engineering, Biomedical. -
電子資源:	Download fulltext (下載全文)
ISBN:	0496637231

Detection and diagnosis of oral neoplasia with confocal microscopy and optical coherence microscopy.
Clark, Anne Lauren.

Detection and diagnosis of oral neoplasia with confocal microscopy and optical coherence microscopy. - 171 p.

Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6186.

Thesis (Ph.D.)--The University of Texas at Austin, 2003.

Oral cancer remains an important health issue throughout the world. In the United States, over 27,000 new cases and approximately 7,000 deaths attributable to oral cancer are expected in 2003. In some areas of the world, this malignancy is much more common; oral cancer is the most common cancer among men and the third most common cancer in women, in India [1]. Prognosis for patients with oral cancer remains low with five-year survival rates hovering in the fiftieth percentile [2]. High resolution, in vivo optical imaging may offer a clinically useful adjunct to standard histopathologic techniques.

ISBN: 0496637231Subjects--Topical Terms:

1000005515
Engineering, Biomedical.

Detection and diagnosis of oral neoplasia with confocal microscopy and optical coherence microscopy.
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500 $a Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6186.
500 $a Supervisor: Rebecca Richards-Kortum.
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 2003.
520 $a Oral cancer remains an important health issue throughout the world. In the United States, over 27,000 new cases and approximately 7,000 deaths attributable to oral cancer are expected in 2003. In some areas of the world, this malignancy is much more common; oral cancer is the most common cancer among men and the third most common cancer in women, in India [1]. Prognosis for patients with oral cancer remains low with five-year survival rates hovering in the fiftieth percentile [2]. High resolution, in vivo optical imaging may offer a clinically useful adjunct to standard histopathologic techniques.
520 $a The work in this dissertation centered on optical imaging in the oral cavity to determine whether confocal microscopy and optical coherence microscopy could detect and diagnose oral neoplasia. A survey of features of normal epithelium and SCCs using a reflectance confocal microscope resolved nuclear density and morphology differences between neoplastic and non-neoplastic oral cavity specimens and features of non-cancerous and cancerous oral tissue such as inflammation, fibrosis, muscle fibers and salivary glands. A detailed study of the differences between normal, preneoplastic, and neoplastic oral cavity tissue using images from a reflectance confocal microscope found that descriptive statistics characterizing nuclear morphology allowed slight differentiation between normal and dysplastic epithelium. Reviews of confocal images by trained pathologists and untrained engineers emphasized the need for situational awareness of the region of the epithelium occupied by the image plane. An optical coherence microscope with subcellular resolution and an estimated penetration depth (based on SNR) of 390--700 microns was built to support imaging deeply within oral mucosa. This increased penetration depth supported a study of epithelial scattering coefficients from reflected nuclear intensities which was successful in non-hyperkeratotic layers and showed differentiation between scattering properties of normal and dysplastic epithelium and SCCs.
520 $a Overall, the research in this dissertation gives a thorough basis for optical imaging in the oral cavity. Images were acquired from five sites in the oral cavity and represented a wide variety of pathological conditions. Two approaches, morphologic statistical analysis and calculation of scattering coefficients, showed diagnostic contrast with the differentiation from the scattering coefficients being superior.
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