Label-Free Imaging and Histo-Optical Evaluation of Head and Neck Cancers with Multiphoton Autofluorescence Microscopy

被引:3
|
作者
Villarreal, Paula Patricia [1 ]
Pal, Rahul [2 ]
Qiu, Suimin [3 ]
Coblens, Orly [4 ]
Villasante-Tezanos, Alejandro [5 ]
Resto, Vicente [4 ]
McCammon, Susan [6 ]
Vargas, Gracie [7 ]
机构
[1] Univ Texas Med Branch, Inst Translat Sci, Galveston, TX 77555 USA
[2] Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA 02129 USA
[3] Univ Texas Med Branch, Dept Pathol, Div Surg Pathol, Galveston, TX 77555 USA
[4] Univ Texas Med Branch, Dept Otolaryngol Head & Neck Surg, Galveston, TX 77555 USA
[5] Univ Texas Med Branch, Sch Publ & Populat Hlth, Dept Biostat & Data Sci, Galveston, TX 77555 USA
[6] Univ Alabama Birmingham, Dept Otolaryngol, Head & Neck Surg Oncol Div, Birmingham, AL 35294 USA
[7] Univ Texas Med Branch, Dept Neurobiol, Galveston, TX 77555 USA
关键词
multiphoton microscopy; autofluorescence; second harmonic generation; squamous cell carcinoma; head and neck; epithelium; label-free imaging; ORAL EPITHELIAL DYSPLASIA; TISSUE; CLASSIFICATION; NEOPLASIA; CAVITY; TUMORS; FIELD;
D O I
10.3390/cancers15041302
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Efforts to identify lesions of head and neck cancers with high malignant potential are important to improve patient outcomes, as 5-year survival rates remain low due to late detection. Optical imaging approaches that provide direct cellular and structural atypia could be helpful in detection and pathology guidance. This study evaluates the method of multiphoton autofluorescence microscopy (MPAM) for its ability to reveal atypia associated with neoplasia in resected tumor samples without the need for exogenous dyes or tissue sectioning, showing a correlation with the corresponding histology. Depth-resolved label-free optical imaging by the method of multiphoton autofluorescence microscopy (MPAM) may offer new ways to examine cellular and extracellular atypia associated with epithelial squamous cell carcinoma (SCC). MPAM was evaluated for its ability to identify cellular and microstructural atypia in head and neck tissues from resected discarded tumor tissue. Three-dimensional image volumes were obtained from tissues from the floor of the mouth, tongue, and larynx, and were then processed for histology. MPAM micrographs were evaluated for qualitative metrics of cell atypia and quantitative measures associated with nuclear pleomorphism. Statistical analyses correlated MPAM endpoints with histological grade from each imaged site. Cellular overcrowding, discohesion, anisonucleosis, and multinucleated cells, as observed through MPAM, were found to be statistically associated with dysplasia and SCC grading, but not in histologically benign regions. A quantitative measure of the coefficient of variance in nuclear size in SCC and dysplasia was statistically elevated above histologically benign regions. MPAM also allowed for the identification of cellular heterogeneity across transitional areas and other features, such as inflammatory infiltrates. In the future, MPAM could be evaluated for the non-invasive detection of neoplasia, possibly as an adjunct to traditional conventional examination and biopsy.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Simultaneous label-free autofluorescence-multiharmonic microscopy and beyond
    Boppart, Stephen A.
    You, Sixian
    Li, Lianhuang
    Chen, Jianxin
    Tu, Haohua
    APL PHOTONICS, 2019, 4 (10)
  • [32] Label-free detection of brain invasion in meningiomas by multiphoton microscopy
    Fang, Na
    Wu, Zanyi
    Cai, Shanshan
    Chen, Yupeng
    Lin, Yuanxiang
    Zheng, Xianying
    Tu, Haohua
    Qiu, Lida
    Liu, Xueyong
    Wang, Feng
    Chen, Yue
    Li, Lianhuang
    Wang, Xingfu
    Chen, Jianxin
    LASER PHYSICS LETTERS, 2019, 16 (01)
  • [33] Correlative multiphoton microscopy and infrared nanospectroscopy of label-free collagen
    Mathurin, Jeremie
    Mosser, Gervaise
    Dazzi, Alexandre
    Deniset-Besseau, Ariane
    Schanne-Klein, Marie-Claire
    Latour, Gael
    ADVANCES IN MICROSCOPIC IMAGING II, 2019, 11076
  • [34] Label-Free Detection of Breast Masses Using Multiphoton Microscopy
    Wu, Xiufeng
    Chen, Gang
    Lu, Jianping
    Zhu, Weifeng
    Qiu, Jingting
    Chen, Jianxin
    Xie, Shusen
    Zhuo, Shuangmu
    Yan, Jun
    PLOS ONE, 2013, 8 (06):
  • [35] Label-free identification of the hippocampus and surrounding structures by multiphoton microscopy
    Wang, Shu
    Jiang, Liwei
    Du, Huiping
    Wang, Xingfu
    Zheng, Liqin
    Li, Lianhuang
    Zhuo, Shuangmu
    Zhu, Xiaoqin
    Chen, Jianxin
    LASER PHYSICS LETTERS, 2016, 13 (05)
  • [36] Label-free optical scattering and interferometry microscopy for functional imaging of thrombus
    Zheng, Yujie
    Lee, Woei Ming
    BIOPHOTONICS AUSTRALASIA 2019, 2019, 11202
  • [37] Label-free optical imaging of membrane patches for atomic force microscopy
    Churnside, Allison B.
    King, Gavin M.
    Perkins, Thomas T.
    OPTICS EXPRESS, 2010, 18 (23): : 23924 - 23932
  • [38] Label-free imaging of Acanthamoeba using multimodal nonlinear optical microscopy
    Kobayashi, Tsubasa
    Cha, Yu-Rok
    Kaji, Yuichi
    Oshika, Tetsuro
    Leproux, Philippe
    Couderc, Vincent
    Kano, Hideaki
    MULTIPHOTON MICROSCOPY IN THE BIOMEDICAL SCIENCES XVIII, 2018, 10498
  • [39] Label-free multiphoton microscopy for ex vivo brain imaging: Toward assisting pathologic diagnosis
    Wang, Shu
    Liu, Airong
    Wang, Feng
    Lin, Ruolan
    Ma, Yukun
    Lin, Bingbing
    Chen, Yue
    Chen, Zhong
    Zhu, Xiaoqin
    Lin, Yuanxiang
    Wang, Xingfu
    Chen, Jianxin
    OPTICS IN HEALTH CARE AND BIOMEDICAL OPTICS VIII, 2018, 10820
  • [40] Label-Free Optical Imaging Technology
    Mu, Shuqi
    Dong, Dashan
    Shi, Kebin
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (12)