DocumentCode :
2585496
Title :
A non-invasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis: Clinical trial
Author :
Yan, Kaiguo ; Yu, Yan ; Liao, Lydia
Author_Institution :
Dept. of Radiat. Oncology, Thomas Jefferson Univ., Philadelphia, PA, USA
Volume :
2
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1023
Lastpage :
1026
Abstract :
A multimodal spectroscopy system was developed to improve breast cancer diagnosis non-invasively. It includes three modules: diffuse reflectance spectroscopy (DRS), ultrasonography and low intensity focused ultrasound (LIFU). An IRB-approved clinical trial is in progress. Currently 33 patients were enrolled with informed consent. DRS signals were analyzed using wavelet technique before needle biopsy was performed for tissue diagnosis. Clinical results showed that LIFU stimulated transitory high-frequency fluctuation in non-cancer tissue, but not in malignant tissue. The average ratio of the variances during LIFU vs. baseline is 2.95 in non-cancer tissue, compared to 1.18 in cancer. This difference is significant (p=0.0007), indicating that high-frequency fluctuation was amplified in non-cancer tissue during LIFU. Current clinical results demonstrate the effectiveness of this promising technique in characterizing cancer vs. non-cancer tissues. Combining this system with breast ultrasound has the potential to increase the specificity of sonographic breast cancer detection, and to reduce unnecessary invasive procedures.
Keywords :
biological organs; biological tissues; biomedical optical imaging; biomedical ultrasonics; cancer; discrete wavelet transforms; gynaecology; infrared spectra; medical signal processing; DRS signals; IRB-approved clinical trial; LIFU stimulated transitory high-frequency fluctuation; breast cancer diagnosis; breast ultrasound; diffuse reflectance spectroscopy; low intensity focused ultrasound; needle biopsy; noncancer tissue; noninvasive multimodal sono-contrast NIR spectroscopy system; sonographic breast cancer detection; tissue diagnosis; ultrasonography; wavelet technique; Breast cancer; Optical imaging; Spectroscopy; Ultrasonic imaging; breast cancer; diffuse reflectance spectroscopy; low intensity focused ultrasound; multimodal imaging system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098427
Filename :
6098427
Link To Document :
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