Tracing the “At-Risk” Oral Mucosa Field with Autofluorescence: Steps Toward Clinical Impact

A new paradigm in the way we envision tissue change during carcinogenesis has evolved in recent years. From a clinical standpoint, this paradigm has altered how we view “at-risk” tissue. Rather than focusing on clinical lesions, we often discuss “field” changes involving the expansion of genetically and epigenetically altered cells within a tissue, and not necessarily centered on a clinically identifiable lesion. This change reflects the recognition that genetically altered fields of cells are not always clinically or histologically apparent, yet even when occult, can constitute a significant risk. This shift in perspective has caused a management conundrum. We can use molecular techniques to characterize field changes in an extremely detailed fashion; however, such evaluation depends on identifying areas for its use. In this issue of the journal, Roblyer et al. (1) describe work with autofluorescence imaging, a field-assessment approach that may be an alternative and potential complement to lesion-focused assessments and may improve our ability to clinically distinguish normal from premalignant and malignant oral tissue in a real-time fashion. Generally, autofluorescence imaging uses higher-energy light to excite specific compounds in tissue (fluorophores) so that they re-emit lower-energy light that makes up the autofluorescence image of the tissue. The excitation light is produced by a filtered arch lamp, an array of light-emitting diodes, or a laser. Effective detection of the autofluorescence image requires blocking the excitation light from reaching the imaging sensor (camera or eye).

[1]  N Ramanujam,et al.  In vivo diagnosis of cervical intraepithelial neoplasia using 337-nm-excited laser-induced fluorescence. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[2]  G. Snow,et al.  Recurrence at the primary site in head and neck cancer and the significance of neck lymph node metastases as a prognostic factor , 1994, Cancer.

[3]  R H Hruban,et al.  Molecular assessment of histopathological staging in squamous-cell carcinoma of the head and neck. , 1995, The New England journal of medicine.

[4]  E. Gabrielson,et al.  Multiple head and neck tumors: evidence for a common clonal origin. , 1996, Cancer research.

[5]  E. Sevick-Muraca,et al.  Quantitative optical spectroscopy for tissue diagnosis. , 1996, Annual review of physical chemistry.

[6]  K Svanberg,et al.  Detection of adenocarcinoma in Barrett's oesophagus by means of laser induced fluorescence. , 1996, Gut.

[7]  A Coldman,et al.  Localization of bronchial intraepithelial neoplastic lesions by fluorescence bronchoscopy. , 1998, Chest.

[8]  C. MacAulay,et al.  Fluorescence spectroscopy and imaging for skin cancer detection and evaluation , 2000 .

[9]  R. Lotan,et al.  Autofluorescence Microscopy of Fresh Cervical-Tissue Sections Reveals Alterations in Tissue Biochemistry with Dysplasia¶ , 2001, Photochemistry and photobiology.

[10]  R Richards-Kortum,et al.  Understanding the contributions of NADH and collagen to cervical tissue fluorescence spectra: modeling, measurements, and implications. , 2001, Journal of biomedical optics.

[11]  W. Hong,et al.  Multiple oral squamous epithelial lesions: are they genetically related? , 2001, Oncogene.

[12]  C. R. Leemans,et al.  Multiple head and neck tumors frequently originate from a single preneoplastic lesion. , 2002, The American journal of pathology.

[13]  François Guillemin,et al.  Fluorescence detection of bladder cancer: a review. , 2002, European urology.

[14]  R. Richards-Kortum,et al.  Microanatomical and Biochemical Origins of Normal and Precancerous Cervical Autofluorescence Using Laser-scanning Fluorescence Confocal Microscopy¶ , 2003, Photochemistry and photobiology.

[15]  Sung K. Chang,et al.  Multispectral digital colposcopy for in vivo detection of cervical cancer. , 2003, Optics express.

[16]  C. R. Leemans,et al.  Genetically Altered Fields as Origin of Locally Recurrent Head and Neck Cancer , 2004, Clinical Cancer Research.

[17]  Haishan Zeng,et al.  Optical spectroscopy and imaging for early lung cancer detection: a review. , 2004, Photodiagnosis and photodynamic therapy.

[18]  Nhu D Le,et al.  Toluidine blue staining identifies high-risk primary oral premalignant lesions with poor outcome. , 2005, Cancer research.

[19]  Calum MacAulay,et al.  Fluorescence Visualization Detection of Field Alterations in Tumor Margins of Oral Cancer Patients , 2006, Clinical Cancer Research.

[20]  David Sidransky,et al.  Fluorescence Visualization in Oral Neoplasia: Shedding Light on an Old Problem , 2006, Clinical Cancer Research.

[21]  Haishan Zeng,et al.  Simple device for the direct visualization of oral-cavity tissue fluorescence. , 2006, Journal of biomedical optics.

[22]  Pierre Lane,et al.  Direct fluorescence visualization of clinically occult high‐risk oral premalignant disease using a simple hand‐held device , 2007, Head & neck.

[23]  Michele Follen,et al.  Automated image analysis of digital colposcopy for the detection of cervical neoplasia. , 2008, Journal of biomedical optics.

[24]  R. Richards-Kortum,et al.  Objective Detection and Delineation of Oral Neoplasia Using Autofluorescence Imaging , 2009, Cancer Prevention Research.

[25]  Peter Bjerring,et al.  Fluorescence detection and diagnosis of non‐melanoma skin cancer at an early stage , 2009, Lasers in surgery and medicine.

[26]  C. MacAulay,et al.  Squamous cell carcinoma and precursor lesions: diagnosis and screening in a technical era. , 2011, Periodontology 2000.