TY - GEN
T1 - Photoacoustic microscopy enables multilayered histological imaging of human breast cancer without staining
AU - Wong, Terence T.W.
AU - Zhang, Ruiying
AU - Hai, Pengfei
AU - Aft, Rebecca L.
AU - Novack, Deborah V.
AU - Wang, Lihong V.
N1 - Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2018
Y1 - 2018
N2 - In 2016, an estimated ∼250,000 new cases of invasive and non-invasive breast cancer were diagnosed in US women. About 60-75% of these cases were treated with breast conserving surgery (BCS) as the initial therapy. To reduce the local recurrence rate, the goal of BCS is to excise the tumor with a rim of normal surrounding tissue, so that no cancer cells remain at the cut margin, while preserving as much normal breast tissue as possible. Therefore, patients with remaining cancer cells at the cut margin commonly require a second surgical procedure to obtain clear margins. Different approaches have been used to decrease the positive margin rate to avoid re-excision. However, these techniques are variously ineffective in reducing the re-operative rate, difficult to master by surgeons, or time-consuming for large specimens. Thus, 20-60% of patients undergoing BCS still require second surgeries due to positive surgical margins. The ideal tool for margin assessment would provide the same information as histological analysis, without the need for processing specimens. To achieve this goal, we have developed and refined label-free photoacoustic microscopy (PAM) for breast specimens. Exploiting the intrinsic optical contrast of tissue, ultraviolet (UV) laser illumination can highlight cell nuclei, thus providing the same contrast as hematoxylin labeling used in conventional histology and measuring features related to the histological landscape without the need for labels. We demonstrate that our UV-PAM system can provide label-free, high-resolution, and histology-like imaging of fixed, unprocessed breast tissue.
AB - In 2016, an estimated ∼250,000 new cases of invasive and non-invasive breast cancer were diagnosed in US women. About 60-75% of these cases were treated with breast conserving surgery (BCS) as the initial therapy. To reduce the local recurrence rate, the goal of BCS is to excise the tumor with a rim of normal surrounding tissue, so that no cancer cells remain at the cut margin, while preserving as much normal breast tissue as possible. Therefore, patients with remaining cancer cells at the cut margin commonly require a second surgical procedure to obtain clear margins. Different approaches have been used to decrease the positive margin rate to avoid re-excision. However, these techniques are variously ineffective in reducing the re-operative rate, difficult to master by surgeons, or time-consuming for large specimens. Thus, 20-60% of patients undergoing BCS still require second surgeries due to positive surgical margins. The ideal tool for margin assessment would provide the same information as histological analysis, without the need for processing specimens. To achieve this goal, we have developed and refined label-free photoacoustic microscopy (PAM) for breast specimens. Exploiting the intrinsic optical contrast of tissue, ultraviolet (UV) laser illumination can highlight cell nuclei, thus providing the same contrast as hematoxylin labeling used in conventional histology and measuring features related to the histological landscape without the need for labels. We demonstrate that our UV-PAM system can provide label-free, high-resolution, and histology-like imaging of fixed, unprocessed breast tissue.
KW - Cancer
KW - histology
KW - label-free
KW - microscopy
KW - photoacoustic imaging
KW - translational research
UR - http://www.scopus.com/inward/record.url?scp=85047313992&partnerID=8YFLogxK
U2 - 10.1117/12.2291008
DO - 10.1117/12.2291008
M3 - Conference contribution
AN - SCOPUS:85047313992
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Photons Plus Ultrasound
A2 - Wang, Lihong V.
A2 - Oraevsky, Alexander A.
PB - SPIE
T2 - Photons Plus Ultrasound: Imaging and Sensing 2018
Y2 - 28 January 2018 through 1 February 2018
ER -