부산대학교 도서관

Byline: Daniel Richard Leff (1), Oliver J. Warren (1), Louise C. Enfield (2), Adam Gibson (2), Thanos Athanasiou (1), Darren K. Patten (1), Jem Hebden (2), Guang Zhong Yang (3), Ara Darzi (1) Keywords: Diffuse optical imaging; Optical mammography; Optical tomography; Near infrared spectroscopy; Breast cancer Abstract: Screening X-ray mammography is limited by false positives and negatives leading to unnecessary physical and psychological morbidity. Diffuse Optical Imaging using harmless near infra red light, provides lesion detection based on functional abnormalities and represents a novel diagnostic arm that could complement traditional mammography. Reviews of optical breast imaging have not been systematic, are focused mainly on technological developments, and have become superseded by rapid technological advancement. The aim of this study is to review clinically orientated studies involving approximately 2,000 women in whom optical mammography has been used to evaluate the healthy or diseased breast. The results suggest that approximately 85% of breast lesions are detectable on optical mammography. Spectroscopic resolution of tissue haemoglobin composition and oxygen saturation may improve the detectability of breast diseases. Results suggest that breast lesions contain approximately twice the haemoglobin concentration of background tissue. Current evidence suggests that it is not possible to distinguish benign from malignant disease using optical imaging techniques in isolation. Methods to improve the performance of Diffuse Optical Imaging, such as better spectral coverage with additional wavelengths, improved modelling of light transport in tissues and the use of extrinsic dyes may augment lesion detection and characterisation. Future research should involve large clinical trials to determine the overall sensitivity and specificity of optical imaging techniques as well as to establish patient satisfaction and economic viability. Author Affiliation: (1) Department of Biosurgery and Surgical Technology, Imperial College London, 10th Floor QEQM Building, St. Mary's Hospital, London, W2 1NY, UK (2) Department of Medical Physics and Bioengineering, University College London, Malet Place Engineering Building Gower Street, London, WC1E 6BT, UK (3) Royal Society/Wolfson Medical Image Computing Laboratory, 305/306 Huxley Building, Department of Computing, Imperial College of Science, Technology, and Medicine, 180 Queens Gate, London, SW7 2BZ, UK Article History: Registration Date: 27/03/2007 Received Date: 22/12/2006 Accepted Date: 26/03/2007 Online Date: 28/04/2007