| Autor: |
Enrico Gratton, David Hsiang, Shwayta Kukreti, Albert E. Cerussi, Bruce J. Tromberg, Wendy Tanamai |
| Jazyk: |
angličtina |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
Kukreti, S; Cerussi, AE; Tanamai, W; Hsiang, D; Tromberg, BJ; & Gratton, E. (2010). Characterization of metabolic differences between benign and malignant tumors: High-spectral-resolution diffuse optical spectroscopy. Radiology, 254(1), 277-284. doi: 10.1148/radiol.09082134. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/2tk5d971 |
| DOI: |
10.1148/radiol.09082134. |
| Popis: |
Purpose: To develop a near-infrared spectroscopic method to identify breast cancer biomarkers and to retrospectively determine if benign and malignant breast lesions could be distinguished by using this method. Materials and Methods: The study was HIPAA compliant and was approved by the university institutional review board. Written informed consent was obtained. By using self-referencing differential spectroscopy (SRDS) analysis, the existence of specifi c spectroscopic signatures of breast lesions on images acquired by using diffuse optical spectroscopy imaging in the wavelength range (650-1000 nm) was established. The SRDS method was tested in 60 subjects (mean age, 38 years; age range, 22-74 years). There were 17 patients with benign breast tumors and 22 patients with malignant breast tumors. There were 21 control subjects. Results: Discrimination analysis helped separate malignant from benign tumors. A total of 40 lesions (22 malignant and 18 benign) were analyzed. Twenty were true-positive lesions, 17 were true-negative lesions, one was a false-positive lesion, and two were false-negative lesions (sensitivity, 91% [20 of 22]; specificity, 94 % [17 of 18]; positive predictive value, 95% [20 of 21]; and negative predictive value, 89% [17 of 19]). Conclusion: The SRDS method revealed localized tumor biomarkers specific to pathologic state. © RSNA, 2010. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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