Chinese Journal of Dermatology ›› 2019, Vol. 52 ›› Issue (4): 268-272.doi: 10.3760/cma.j.issn.0412-4030.2019.04.010

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Photoacoustic imaging and photoacoustic spectrum analysis in mouse models of cutaneous squamous cell carcinoma

Wen Long1, Pan Jing2, Wang Peiru3, Zhang Haonan2, Zhang Guolong3, Wang Xueding4, Cheng Qian2, Wang Xiuli1   

  1. 1Department of Photomedicine, Shanghai Skin Disease Hospital, Shanghai Skin Disease Clinical College of Anhui Medical University, Shanghai 200443, China;  2Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China;  3Department of Photomedicine, Shanghai Skin Disease Hospital, Institute of Photomedicine, Tongji University School of Medicine, Shanghai 200443, China;  4Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
  • Received:2018-09-10 Revised:2019-01-29 Online:2019-04-15 Published:2019-04-01
  • Contact: Wang Xiuli E-mail:wangxiuli_1400023@tongji.edu.cn
  • Supported by:
    National Key Research and Development Program of China（2017YFC0111405）; Scientific Research Project of Shanghai Science and Technology Committee（17411952500）

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Abstract: 【Abstract】 Objective To establish a photoacoustic detection system and data processing methods for skin tumors, and to explore photoacoustic imaging and photoacoustic spectrum in mouse models of cutaneous squamous cell carcinoma （CSCC）. Methods A total of 60 healthy specific pathogen-free （SPF） female BALB/C nude mice aged 6 - 8 weeks were randomly and equally divided into 2 groups to be inoculated with a murine CSCC cell line XL50 and a human CSCC cell line A431 respectively on the right back near the upper limbs, and mouse models of murine CSCC （n = 20） and human CSCC （n = 20） were successfully established. The 850-nm photoacoustic detection system was applied in the above 2 kinds of mouse models, and photoacoustic imaging and photoacoustic spectrum data were collected. The fitted slope of acoustic power spectrum curves was compared between squamous cell carcinoma tissues and normal skin on the left back of the mouse model. After the photoacoustic detection, tumor tissues and normal skin at the opposite side were excised from the 2 kinds of mouse models, and subjected to histopathological examination. The fitted slope of different tissues was compared by using t test. Results Photoacoustic imaging showed higher photoacoustic signals of hemoglobin in squamous cell carcinoma tissues compared with the normal skin tissues. In the model of murine CSCC, the fitted slope of acoustic power spectrum curve was significantly lower in the tumor tissues （-1.827 ± 0.153 1） than in the normal skin tissues （-1.059 ± 0.117 8, t = 3.973, P < 0.001）. In the model of human CSCC, the fitted slope of acoustic power spectrum curve was also significantly lower in the tumor tissues （-1.537 ± 0.125 5） than in the normal skin tissues （-0.960 ± 0.259 7, t = 2.166, P = 0.043）. Histopathological examination showed that the number of vessels increased in the tumor tissues compared with the normal skin tissues. Conclusion CSCC tissues are different from normal skin tissues in photoacoustic imaging signals and the fitted slope of acoustic power spectrum, which may lay a foundation for non-invasive photoacoustic diagnosis of CSCC.

Key words: Neoplasms, squamous cell, Photoacoustic techniques, Photoacoustic imaging, Photoacoustic spectrum, Fitted slope