Dynamic optical breast imaging: a novel technique to detect and characterize tumor vessels |
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Authors: | Fournier Laure S Vanel Daniel Athanasiou Alexandra Gatzemeier Wolfgang Masuykov I V Padhani Anwar R Dromain Clarisse Galetti Ken Sigal Robert Costa Alberto Balleyguier Corinne |
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Institution: | 1. Université Paris Descartes, Hôpital Européen Georges Pompidou, Radiology Department, 20 rue Leblanc, 75015 Paris, France;2. University Paris Descartes, Faculté de Médecine, EA4062, Laboratoire de Recherche en Imagerie, site Necker, 156 rue de Vaugirard, 75015 Paris, France;3. Institut Gustave-Roussy, Radiology Department, 39 rue Camille Desmoulins, 94805 Villejuif, France;4. Division of Breast Surgery, Fondazione Salvatore Maugeri, Pavia, Italy;5. DOBI Medical International Inc, Mahwah, NJ, USA;6. Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, UK |
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Abstract: | PurposeTo prospectively determine the diagnostic accuracy of optical absorption imaging in patients with Breast Imaging Reporting and Data System (BI-RADS) 3–5 breast lesions.Materials and methodsForty-six patients with BI-RADS classification 3 (11%), 4 (44%) or 5 (44%) lesions, underwent a novel optical imaging examination using red light to illuminate the breast. Pressure was applied on the breast, and time-dependent curves of light absorption were recorded. Curves that consistently increased or decreased over time were classified as suspicious for malignancy. All patients underwent a core or surgical biopsy.ResultsOptical mammography showed a statistical difference in numbers of suspect pixels between benign (N = 12) and malignant (N = 35) lesions (respectively 1325 vs. 3170, P = 0.002). In this population, optical imaging had a sensitivity of 74%, specificity of 92%, and diagnostic accuracy of 79%. The optical signal did not vary according to any other parameter including breast size or density, age, hormonal status or histological type of lesions.ConclusionOptical imaging is a low-cost, non-invasive technique, yielding physiological information dependent on breast blood volume and oxygenation. It appears to have a good potential for discriminating benign from malignant lesions. Further studies are warranted to define its potential role in breast cancer imaging. |
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Keywords: | Optical imaging Breast cancer Breast tumors Diagnostic imaging Dynamic imaging |
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