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
  • [41] Label-free biomedical optical imaging
    Natan T. Shaked
    Stephen A. Boppart
    Lihong V. Wang
    Jürgen Popp
    Nature Photonics, 2023, 17 : 1031 - 1041
  • [42] Label-free biomedical optical imaging
    Shaked, Natan T.
    Boppart, Stephen A.
    Wang, Lihong V.
    Popp, Juergen
    NATURE PHOTONICS, 2023, 17 (12) : 1031 - 1041
  • [43] Label-free deeply subwavelength optical microscopy
    Pu, T.
    Ou, J. Y.
    Papasimakis, N.
    Zheludev, N. I.
    APPLIED PHYSICS LETTERS, 2020, 116 (13)
  • [44] Quantitative, Label-Free Evaluation of Tissue-Engineered Skeletal Muscle Through Multiphoton Microscopy
    Syverud, Brian C.
    Mycek, Mary-Ann
    Larkin, Lisa M.
    TISSUE ENGINEERING PART C-METHODS, 2017, 23 (10) : 616 - 626
  • [45] Label-free Histopathology of Human Brain Tissue with Multiphoton Imaging
    Chen, Defu
    Nauen, David
    Li, Xingde
    JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 2019, 78 (06): : 552 - 552
  • [46] Label-Free Multiphoton Endomicroscopy for Minimally Invasive In Vivo Imaging
    Dilipkumar, Ashwathama
    Al-Shemmary, Alaa
    Kreiss, Lucas
    Cvecek, Kristian
    Carle, Birgitta
    Knieling, Ferdinand
    Menezes, Jean Gonzales
    Thoma, Oana-Maria
    Schmidt, Michael
    Neurath, Markus F.
    Waldner, Maximilian
    Friedrich, Oliver
    Schuermann, Sebastian
    ADVANCED SCIENCE, 2019, 6 (08)
  • [47] Advances in label-free multimodal multiphoton imaging of living tissues
    Stringari, Chiara
    UNCONVENTIONAL OPTICAL IMAGING IV, 2024, 12996
  • [48] Label-free multiphoton imaging and photoablation of preinvasive cancer cells
    Zhuo, Shuangmu
    Chen, Jianxin
    Wu, Guizhu
    Zhu, Xiaoqin
    Jiang, Xingshan
    Xie, Shusen
    APPLIED PHYSICS LETTERS, 2012, 100 (02)
  • [49] Using In Vivo Label-free Multiphoton Microscopy to Monitor Wound Metabolism
    Jones, Jake D.
    Ramser, Hallie E.
    Woessner, Alan
    Quinn, Kyle P.
    WOUND REPAIR AND REGENERATION, 2018, 26 (01) : A10 - A10
  • [50] Label-free identification of intestinal metaplasia in the stomach using multiphoton microscopy
    Wu, G.
    Wei, J.
    Zheng, Z.
    Ye, J.
    Zeng, S.
    LASER PHYSICS LETTERS, 2014, 11 (06)