Surgery represents the mainstream therapeutic modality in oncology. Aggressive radical surgery to achieve no residual tumor would improve survival, which is mainly affected by vascular involvement and accuracy of judging the negative margin of tumor resection. However, there is currently no intraoperative tool that can simultaneously perform microscopic analysis of the peritumoral vasculature in vivo and the surgical margin pathology of the tumor ex vivo, which leads to the randomness of one-time complete resection of the tumor, and the patient may have to undergo secondary surgery. To address this critical need, we developed a 532/266 nm dual-wavelength photoacoustic (PA) microscopy imaging (532/266-PAI) system that enables both in vivo tumor regional vascular involvement analysis and pathological margin assessment of fresh ex vivo tumor samples. A mammary tumor animal model was established to mimic the process of tumor resection, from in vivo imaging vascular involvement of tumor to intraoperative judgment of negative tumor margins. It is proved that the 532/266-PAI technology can identify the tumor vascular involvement through vascular visualization, determine the surgical plan, and then judge whether the tumor is completely removed through ultraviolet PA (UPA) tumor pathological imaging. Re-excision and secondary margin evaluation are performed when margin positive is diagnosed in the intraoperation UPA imaging. The 266/532-PAI technique has great potential for complete tumor resection in surgical navigation.
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7 November 2022
Research Article|
November 08 2022
Photoacoustic imaging of tumor vascular involvement and surgical margin pathology for feedback-guided intraoperative tumor resection
Zhenhui Zhang
;
Zhenhui Zhang
(Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Gen Mu
;
Gen Mu
(Software, Visualization, Writing – original draft)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Erqi Wang
;
Erqi Wang
(Software)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Dandan Cui
;
Dandan Cui
(Writing – original draft, Writing – review & editing)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Fei Yang
;
Fei Yang
(Validation, Writing – review & editing)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Zhiyang Wang
;
Zhiyang Wang
(Validation, Visualization, Writing – review & editing)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Sihua Yang
;
Sihua Yang
(Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
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Yujiao Shi
Yujiao Shi
a)
(Formal analysis, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing)
1
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
2
Guangdong Provincial Key Laboratory of Laser Life Science, College of Biophotonics, South China Normal University
, Guangzhou 510631, China
a)Author to whom correspondence should be addressed: shiyuj@scnu.edu.cn
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a)Author to whom correspondence should be addressed: shiyuj@scnu.edu.cn
Appl. Phys. Lett. 121, 193702 (2022)
Article history
Received:
September 26 2022
Accepted:
October 21 2022
Citation
Zhenhui Zhang, Gen Mu, Erqi Wang, Dandan Cui, Fei Yang, Zhiyang Wang, Sihua Yang, Yujiao Shi; Photoacoustic imaging of tumor vascular involvement and surgical margin pathology for feedback-guided intraoperative tumor resection. Appl. Phys. Lett. 7 November 2022; 121 (19): 193702. https://doi.org/10.1063/5.0128076
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