Abstract P4-01-10: Development of photoacoustic vascular imaging system for breast cancer

Author(s):  
M Toi ◽  
Y Asao ◽  
M Takada ◽  
M Kataoka ◽  
T Endo ◽  
...  
2021 ◽  
Vol 187 (1) ◽  
pp. 145-153
Author(s):  
Conor R. Lanahan ◽  
Bridget N. Kelly ◽  
Michele A. Gadd ◽  
Michelle C. Specht ◽  
Carson L. Brown ◽  
...  

Abstract Purpose Safe breast cancer lumpectomies require microscopically clear margins. Real-time margin assessment options are limited, and 20–40% of lumpectomies have positive margins requiring re-excision. The LUM Imaging System previously showed excellent sensitivity and specificity for tumor detection during lumpectomy surgery. We explored its impact on surgical workflow and performance across patient and tumor types. Methods We performed IRB-approved, prospective, non-randomized studies in breast cancer lumpectomy procedures. The LUM Imaging System uses LUM015, a protease-activated fluorescent imaging agent that identifies residual tumor in the surgical cavity walls. Fluorescent cavity images were collected in real-time and analyzed using system software. Results Cavity and specimen images were obtained in 55 patients injected with LUM015 at 0.5 or 1.0 mg/kg and in 5 patients who did not receive LUM015. All tumor types were distinguished from normal tissue, with mean tumor:normal (T:N) signal ratios of 3.81–5.69. T:N ratios were 4.45 in non-dense and 4.00 in dense breasts (p = 0.59) and 3.52 in premenopausal and 4.59 in postmenopausal women (p = 0.19). Histopathology and tumor receptor testing were not affected by LUM015. Falsely positive readings were more likely when tumor was present < 2 mm from the adjacent specimen margin. LUM015 signal was stable in vivo at least 6.5 h post injection, and ex vivo at least 4 h post excision. Conclusions Intraoperative use of the LUM Imaging System detected all breast cancer subtypes with robust performance independent of menopausal status and breast density. There was no significant impact on histopathology or receptor evaluation.


2010 ◽  
Vol 107 ◽  
pp. 203-217 ◽  
Author(s):  
Martin O'Halloran ◽  
Martin Glavin ◽  
Edward Jones

2001 ◽  
Vol 48 (3) ◽  
pp. 811-815 ◽  
Author(s):  
N.K. Doshi ◽  
R.W. Silverman ◽  
Y. Shao ◽  
S.R. Cherry

2009 ◽  
Vol 56 (8) ◽  
pp. 3195-3202 ◽  
Author(s):  
C.E. Hann ◽  
J.G. Chase ◽  
XiaoQi Chen ◽  
C. Berg ◽  
R.G. Brown ◽  
...  

2016 ◽  
Author(s):  
Sigfrid K. Yngvesson ◽  
Andrew Karellas ◽  
Stephen Glick ◽  
Ashraf Khan ◽  
Paul R. Siqueira ◽  
...  

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