口腔鳞状细胞癌边界精准评价的光学成像研究进展

doi:10.13701/j.cnki.kqyxyj.2020.05.003

摘要/Abstract

摘要： 口腔鳞状细胞癌是头颈部常见的恶性肿瘤之一,其治疗以手术扩大切除病灶为主,由于肿瘤位于口腔颌面部,扩大切除会对患者外观和功能带来较大影响,可造成患者术后生存质量明显下降;而另一方面,切除不足可造成术后复发。因此,精准切除病灶对于口腔鳞状细胞癌患者的预后和术后生存质量有重要意义。本文就近年来光学成像技术中的荧光成像、靶向荧光、窄带成像、高分辨率显微内镜、拉曼光谱在口腔鳞状细胞癌边界精准评价的研究进展作一综述。

关键词: 口腔鳞状细胞癌, 手术切缘, 光学成像

Abstract: Oral squamous cell carcinoma (OSCC) is the most common malignant tumors in the head and neck. The treatment of OSCC mainly focuses on surgical enlarged resection. As the tumors are located in the oral and maxillofacial region, enlarged resection will have a great impact on the appearance and function of patients, which can cause a significant decline in the quality of life of patients after surgery. On the other hand, insufficient resection can cause recurrence after surgery. Therefore, precise excision of lesions is of great significance for the survival and quality of life of patients with OSCC. In this paper, we reviewed the recent researches using optical imaging including fluorescence imaging, targeted fluorescence imaging, narrow band imaging, high-resolution microendoscopy, and raman spectroscopy on the precise assessment for surgical margin of OSCC.

Key words: oral squamous cell carcinoma, surgical margin, optical imaging

高安天, 林梓桐. 口腔鳞状细胞癌边界精准评价的光学成像研究进展[J]. 口腔医学研究, 2020, 36(5): 413-415.

GAO Antian, LIN Zitong. Advancement of Optical Imaging on Precise Assessment for Surgical Margin of Oral Squamous Cell Carcinoma[J]. Journal of Oral Science Research, 2020, 36(5): 413-415.

参考文献

[1] Scully C, Bagan J. Oral squamous cell carcinoma: overview of current understanding of aetiopathogenesis and clinical implications[J]. Oral Dis, 2009, 15(6): 388-399.
[2] 李超,陈建超,王朝晖,等.头颈部鳞癌安全手术切缘的评价[J].中华口腔医学杂志,2006, 41(8): 478-480.
[3] McMahon J, O'Brien CJ, Pathak I, et al. Influence of condition of surgical margins on local recurrence and disease-specific survival in oral and oropharyngeal cancer [J]. Br J Oral Maxillofac Surg, 2003, 41(4): 224-231.
[4] Zhang RR, Schroeder AB, Grudzinski JJ, et al. Beyond the margins: real-time detection of cancer using targeted fluorophores [J]. Nat Rev Clin Oncol, 2017, 14(6): 347-364.
[5] Vu A, Farah CS. Narrow band imaging: clinical applications in oral and oropharyngeal cancer [J]. Oral Dis, 2016, 22(5): 383-390.
[6] Vila PM, Park CW, Pierce MC, et al. Discrimination of benign and neoplastic mucosa with a high-resolution microendoscope (HRME) in head and neck cancer [J]. Ann Surg Oncol, 2012, 19(11): 3534-3539.
[7] Harris AT, Rennie A, Waqar-Uddin H, et al. Raman spectroscopy in head and neck cancer [J]. Head Neck Oncol, 2010, 2: 26.
[8] Chen X, Xu Z, Lei Q, et al. Self-assembly of semiconducting polymer amphiphiles for in vivo photoacoustic imaging [J].Advanced Functional Materials, 2017, 27(8): 1605397.
[9] Wu C, Gleysteen J, Teraphongphom NT, et al. In-vivo optical imaging in head and neck oncology: basic principles, clinical applications and future directions [J]. Int J Oral Sci, 2018, 10(2): 10.
[10] Kain JJ, Birkeland AC, Udayakumar N, et al. Surgical margins in oral cavity squamous cell carcinoma: Current practices and future directions[J]. Laryngoscope, 2020, 130(1):128-138.
[11] Schaafsma BE, Mieog JS, Hutteman M, et al. The clinical use of indocyanine green as a near-infrared fluorescent contrast agent for image-guided oncologic surgery [J]. J Surg Oncol, 2011, 104(3): 323-332.
[12] Veys I, Pop CF, Barbieux R, et al. ICG fluorescence imaging as a new tool for optimization of pathological evaluation in breast cancer tumors after neoadjuvant chemotherapy [J]. PLoS One, 2018, 13(5): e0197857.
[13] Holt D, Parthasarathy AB, Okusanya O, et al. Intraoperative near-infrared fluorescence imaging and spectroscopy identifies residual tumor cells in wounds [J]. J Biomed Opt, 2015, 20(7): 76002.
[14] Wang Y, Xie D, Wang Z, et al. Kinetics of indocyanine green: Optimizing tumor to normal tissue fluorescence in image-guided oral cancer surgery applications [J]. Head Neck, 2019, 41(4): 1032-1038.
[15] Yuan P, Temam S, El-Naggar A, et al. Overexpression of podoplanin in oral cancer and its association with poor clinical outcome [J]. Cancer, 2006, 107(3): 563-569.
[16] Ito A, Ohta M, Kato Y, et al. A real-time near-infrared fluorescence imaging method for the detection of oral cancers in mice using an indocyanine green-labeled podoplanin antibody [J]. Technol Cancer Res Treat, 2018, 17:1533033818767936.
[17] Baik FM, Hansen S, Knoblaugh SE, et al. Fluorescence identification of head and neck squamous cell carcinoma and high-risk oral dysplasia with BLZ-100, a chlorotoxin-indocyanine green conjugate [J]. JAMA Otolaryngol Head Neck Surg, 2016, 142(4): 330-338.
[18] Keereweer S, Mieog JS, Mol IM, et al. Detection of oral squamous cell carcinoma and cervical lymph node metastasis using activatable near-infrared fluorescence agents [J]. Arch Otolaryngol Head Neck Surg, 2011, 137(6): 609-615.
[19] Kossatz S, Weber W, Reiner T. Detection and delineation of oral cancer with a PARP1-targeted optical imaging agent [J]. Mol Imaging, 2017, 16:1536012117723786.
[20] Uedo N, Ishihara R, Iishi H, et al. A new method of diagnosing gastric intestinal metaplasia: narrow-band imaging with magnifying endoscopy [J]. Endoscopy, 2006, 38(8): 819-824.
[21] Vu AN, Farah CS. Efficacy of narrow band imaging for detection and surveillance of potentially malignant and malignant lesions in the oral cavity and oropharynx: a systematic review [J]. Oral Oncol, 2014, 50(5): 413-420.
[22] Vu AN, Matias M, Farah CS. Diagnostic accuracy of narrow band imaging for the detection of oral potentially malignant disorders [J]. Oral Dis, 2015, 21(4): 519-529.
[23] Farah CS. Narrow band imaging-guided resection of oral cavity cancer decreases local recurrence and increases survival [J]. Oral Dis, 2018, 24(1-2): 89-97.
[24] Farah CS, Fox SA, Dalley AJ. Integrated miRNA-mRNA spatial signature for oral squamous cell carcinoma: a prospective profiling study of narrow band imaging guided resection [J]. Sci Rep, 2018, 8(1): 823.
[25] Farah CS, Dalley AJ, Nguyen P, et al. Improved surgical margin definition by narrow band imaging for resection of oral squamous cell carcinoma: A prospective gene expression profiling study [J]. Head Neck, 2016, 38(6): 832-839.
[26] Muldoon TJ, Roblyer D, Williams MD, et al. Noninvasive imaging of oral neoplasia with a high-resolution fiber-optic microendoscope [J]. Head Neck, 2012, 34(3): 305-312.
[27] Patsias A, Giraldez-Rodriguez L, Polydorides AD, et al. Feasibility of transoral robotic-assisted high-resolution microendoscopic imaging of oropharyngeal squamous cell carcinoma [J]. Head Neck, 2015, 37(8): E99-E102.
[28] Carvalho LF, Bonnier F, O'Callaghan K, et al. Raman micro-spectroscopy for rapid screening of oral squamous cell carcinoma [J]. Exp Mol Pathol, 2015, 98(3): 502-509.
[29] Mian SA, Yorucu C, Ullah MS, et al. Raman spectroscopy can discriminate between normal, dysplastic and cancerous oral mucosa: a tissue-engineering approach [J]. J Tissue Eng Regen Med, 2017, 11(11): 3253-3262.