PURPOSE: To 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 METHODS: Forty-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. RESULTS: Optical 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. CONCLUSION: Optical 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.
PURPOSE: To 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 METHODS: Forty-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. RESULTS: Optical 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. CONCLUSION: Optical 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.
Authors: Bernhard B Zimmermann; Bin Deng; Bhawana Singh; Mark Martino; Juliette Selb; Qianqian Fang; Amir Y Sajjadi; Jayne Cormier; Richard H Moore; Daniel B Kopans; David A Boas; Mansi A Saksena; Stefan A Carp Journal: J Biomed Opt Date: 2017-04-01 Impact factor: 3.170
Authors: Stefan A Carp; Amir Y Sajjadi; Christy M Wanyo; Qianqian Fang; Michelle C Specht; Lidia Schapira; Beverly Moy; Aditya Bardia; David A Boas; Steven J Isakoff Journal: Biomed Opt Express Date: 2013-11-22 Impact factor: 3.732
Authors: Amir Y Sajjadi; Steven J Isakoff; Bin Deng; Bhawana Singh; Christy M Wanyo; Qianqian Fang; Michelle C Specht; Lidia Schapira; Beverly Moy; Aditya Bardia; David A Boas; Stefan A Carp Journal: Biomed Opt Express Date: 2017-01-04 Impact factor: 3.732
Authors: David R Busch; Regine Choe; Turgut Durduran; Daniel H Friedman; Wesley B Baker; Andrew D Maidment; Mark A Rosen; Mitchell D Schnall; Arjun G Yodh Journal: Acad Radiol Date: 2014-02 Impact factor: 3.173
Authors: Adrienne N Dula; Lori R Arlinghaus; Richard D Dortch; Blake E Dewey; Jennifer G Whisenant; Gregory D Ayers; Thomas E Yankeelov; Seth A Smith Journal: Magn Reson Med Date: 2012-08-20 Impact factor: 4.668