Abstract
Objectives
We investigated the potential use of real-time confocal microscpy in the non-invasive detection of occult oral potentially malignant lesions. Our objectives were to select the best fluorescence contrast agent for cellular morphology enhancement, to build an atlas of confocal microscopic images of normal human oral mucosa, and to determine the accuracy of confocal microscopy to recognise oral high-grade dysplasia lesions on live human tissue.
Materials and Methods
Five clinically used fluorescent contrast agents were tested in vitro on cultured human cells and validated ex vivo on human oral mucosa. Images acquired ex vivo from normal and diseased human oral biopsies with bench-top fluorescent confocal microscope were compared to conventional histology. Image analyzer software was used as an adjunct tool to objectively compare high-grade dysplasia versus low-grade dysplasia and normal epithelium.
Results
Acriflavine Hydrochloride provided the best cellular contrast by preferentially staining the nuclei of the epithelium. Using topical application of Acriflavine Hydrochloride followed by confocal microscopy, we could define morphological characteristics of each cellular layer of the normal human oral mucosa, building an atlas of histology-like images. Applying this technique to diseased oral tissue specimen, we were also able to accurately diagnose the presence of high-grade dysplasia through the increased cellularity and changes in nuclear morphological features. Objective measurement of cellular density by quantitative image analysis was a strong discriminant to differentiate between high-grade dysplasia and low-grade dysplasia lesions.
Conclusions
Pending clinical investigation, real-time confocal microscopy may become a useful adjunct to detect precancerous lesions that are at high risk of cancer progression, direct biopsy and delineate excision margins.
Keywords: Confocal microscopy, contrast agent, oral dysplasia
INTRODUCTION
There is a growing recognition of the need to develop new strategies for oral cancer control. Each year more than 300,000 new cases of oral cancer are identified worldwide1, and over 40,000 of these cases are from the United States2. The recurrence and formation of second cancers are frequent (10–25% of cases)3. Even when successful, the treatment of late-stage oral cancer can be devastating to the patient’s quality of life. It is critical that we begin to detect this disease at its earliest possible state and to manage it more effectively.
Oral potentially malignant lesions (mild dysplasia; moderate dysplasia; severe dysplasia or carcinoma in situ) present clinically as a heterogeneous group of lesions, most often forming either white (leukoplakia) or red patches (erythroplakia)4. At present, the initial decision that a change in the oral mucosa requires further assessment is still made on the basis of clinical appearance. The actual assignment of risk requires a biopsy and a determination of the presence and degree of dysplasia. The potentially malignant lesions are classified as high-grade dysplasia (severe dysplasia) and low-grade dysplasia (combining mild and moderate dysplasia). Many low-grade dysplasia, especially mild dysplasia, do not progress to cancer; high-grade dysplasia; however, often progresses to invasive squamous cell carcinoma if left untreated and necessitates early detection and management. It can be challenging for the clinician to differentiate abnormalities or at-risk lesions that require a biopsy from reactive lesions (infection and inflammation). If the lesion is extensive it may be prudent to biopsy more than one area to ensure that the highest degree of histology can be made. A non-representative biopsy would delay the chance of early detection and treatment. Moreover, the molecular risk stratification of low-grade dysplasia in reference to the loss of heterozygosity5 and the quantitative pathology have shed light on how to predict the clinical differences in histologically similar lesions6. The decision on where to biopsy is increasingly critical. Ideally, biopsies should be limited to both targeted samplings of relevant lesions and areas with the highest grade and/or risk. Therefore, there is an urgent need for the development of new technologies that can help the clinician identify the most accurate site of precancerous lesions, especially those in high-grade areas, which are the most susceptible to progress into invasive squamous cell carcinoma7.
Laser scanning confocal microscopy is an emerging imaging technology to enable the detection of intraepithelial neoplasia8–10. This optical technique has sufficient resolution and contrast to produce images of individual cells and nuclei in thick sections of tissue after the application of fluorescent contrast agents11. Optical sections similar to the histological analysis of biopsy specimens are imaged on a focal plane and at various depths below the surface without tissue removal. Moreover, digital images can be acquired in real time, enhancing its potential use in the clinic for directing biopsy acquisitions, delineating excision margins and surveillance.
This study describes the pre-clinical use and evaluation of confocal microscopy in the non-invasive detection of oral dysplasia. The work aimed (i) to assess the ability of commonly used contrast agents to enhance cellular morphology and tissue architecture of the oral epithelium, (ii) to appreciate a normal histology of human oral mucosa using confocal imaging, (iii) to examine the accuracy of the technique to recognise high-grade dysplasia through its correlation with conventional histology, and (iv) to evaluate the contribution of image analyzer on acquired confocal images to objectively discriminate between high-grade and low-grade dysplasia.
MATERIALS AND METHODS
Cell Culture
Four types of human cells were used in this study: normal bronchial epithelial cells from primary culture (NHBE), in vitro spontaneously-transformed keratinocytes from normal skin (HaCaT), and cancer cell lines from squamous cell carcinoma of the tongue (SCC-15) and of the cervix (HeLa). NHBE cells were purchased from Lonza (Walkersville, MD) and cultured through one passage in SingleQuots supplemented Bronchial Epithelial Growth Media (Lonza, Walkersville, MD). HaCaT is a gift from Dr. CF.P. HeLa and SCC-15 cells were obtained from the American Type Culture Collection (Rockville, MD). HaCaT and HeLa cells were cultured in Dulbecco’s modified eagle media (DMEM) growth medium with supplements of 10% fetal bovine serum and 1% Penicillin/Streptomycin (GIBCO, Grand Island, NY). SCC-15 cells were cultured in DMEM and Ham’s F12 (GIBCO, Grand Island, NY) with 10% fetal bovine serum and 1% Penicillin/Streptomycin. Once the cells were 75–80% confluent, they were dissociated with 0.25% trypsin (GIBCO, ON) and seeded onto sterile glass slides covered by the growth medium. After 24 hours of incubation, the slides were gently washed with phosphate-buffered saline (PBS), prior to staining and confocal imaging.
GFP-H2B transfected HeLa cells
HeLa cells were grown as monolayers in 10 cm Petri dishes. Exponentially growing cells were transfected with 20ug H2B–GFP expression vector (Addgene, MA) using a calcium phosphate precipitation protocol12. Transfected cells were re-plated 48 hours after transfection and 0.5mg/ml Geneticin (GIBCO, ON) was added 72 hours after transfection to select colonies of resistant cells. The selective medium was changed every 2 – 4 days. After 15 days of drug selection, surviving colonies were checked under fluorescence microscopy, and the GFP-positive colonies were isolated.
Human oral mucosa ex vivo specimens
Oral specimens (n=31) were obtained from participants in the Terry Fox Research Institute-funded COOLS trial (TFRI2009-24)13. Informed consent was obtained from all participants. The protocol was approved by the Review of Ethics Board of the British Columbia Cancer Agency and the University of British Columbia (H11-00011). Immediately following oral surgery intraoperatively, 5 × 5 mm paired samples from the lesion and margin were obtained and placed in a Petri dish on a small piece of 10% PBS-moistened gauze and then transported to the imaging laboratory.
The mucosal surface of the specimens was topically stained with contrast agents of 1% Cresyl Violet acetate (CV, Sigma-Aldrich) and 0.05% Acriflavine Hydrochloride (AH, Fluka), as per the staining and imaging protocol discussed in the next section. The specimen was placed on a glass slide with the epithelial surface (superficial layer of the oral mucosa) facing the objective lens of a confocal microscope and en face images were acquired. A cover glass was placed on the specimens to prevent the tissue from adhering to the objective lens. Imaging was completed within 2 hours of tissue removal. After imaging, all the specimens were formalin-fixed and paraffin-embedded. Hematoxylin and Eosin (H&E) stained tissue sections were prepared for histopathological assessment by an experienced oral pathologist (CFP). H&E slides were photographed on a Nikon Eclipse microscope. Color images were recorded and processed using a CCD camera (MicroPublisher 3.3, Q-Imaging).
Staining and imaging protocol
Five fluorescent stain solutions were prepared by dissolving powder dyes in 10% PBS at specific concentrations (w/v): 1% Cresyl Violet acetate (CV, Sigma-Aldrich), 1% Methylene Blue (MB, Fischer Scientific), 1% Toluidine Blue (TB, Fisher Scientific), 0.05% Acriflavine Hydrochloride (AH, Fluka), and 0.2% Fluorescein Sodium (FS, Fluka). The solutions were filtered using a 0.2 μm pore-sized sterilization filter to remove any undissolved compounds. These stains were tested in cultured cells and human oral ex vivo specimens (only CV and AH) by topical application onto the slides or the epithelium surface of oral specimens. The incubation time was 2 minutes. Then the samples were washed with PBS for 5 minutes.
Confocal fluorescence microscopy was performed on a bench-top Carl Zeiss Axio Imager Z1 equipped with a custom laser-scanning confocal attachment. The custom confocal attachment employed a resonance scanner and galvanometer (Cambridge Technology) for laser scanning, an Avalanche photodiode (Hamamatsu) for detection, and a frame grabber (Matrox) to digitize the signal. A laser excitation light was provided by a 488nm laser (Coherent), 561nm laser (Melles Griot) and 638nm (red) laser (Melles Griot). All the images were acquired using a 25X/0.80 water-immersion objective lens. The time interval between the topical application of the stain and the completion of the confocal imaging was typically about 10 minutes.
Image analysis for quantitative pathology
Gray-scale confocal images (N=94, 41 normal, 11 hyperplasia, 15 mild dysplasia, 9 moderate dysplasia, 18 severe dysplasia) were analyzed by Getafics image analyzer software. The Getafics system was developed in-house as previously described14. Briefly, TIFF confocal images were uploaded in the software platform. Automatic or semi-automatic segmentation algorithms were used to detect the center of gravity of the nuclei which were then used as points to generate the Voronoi diagram, a geometric model of the tissue from which numerous architectural features can be extracted from and exported for to excel file for further statistical analysis usage. In this study, we are interested to use this technique to objectively quantify the cell density. All statistical significance was assessed using ANOVA and performed using STATISTICA software (StatSoft Inc., Tulsa, OK).
RESULTS
Contrast agents enhance the observation of nuclear distribution and features using confocal microscope
We used a simple in vitro system for the evaluation of the contrast agents. Acriflavine Hydrochloride (AH) and Fluorescein Sodium (FS) fluoresced at 488nm excitation wavelength, Cresyl Violet (CV) fluoresced at 561nm excitation wavelength, and Methylene Blue (MB) and Toluidine Blue (TB) fluoresced at 638nm excitation wavelength. The results indicate that simple clinical chemicals can be used to enhance the ability of confocal fluorescence microscopy to differentiate nuclear morphology in living cells (Figure 1). Figure 1A shows comparative confocal images of normal (NHBE) and cancer cells (HaCaT, SCC-15, HeLa) stained either with AH or CV. AH showed a clear nuclear staining with a difference in the nuclear morphology in which normal cells (NHBE) had uniform round nuclei whereas cancer cells had nuclei of a different size and shape (nuclear pleomorphism) and a marked nucleolar staining (nucleolar prominence). The cytoplasm is faintly visible as a noticeable background allowing reasonable nuclear-to-cytoplasm contrast. CV showed cytoplasmic uptake only in normal and cancer cells, leaving a void in the center. Using H2B-GFP transfected HeLa cells specifically with intranuclear GFP expression, we confirmed exclusive cytoplasmic staining of CV in living cells (Figure 1B). Thus, CV allows negative visualization of nuclei morphology. MB and TB staining mainly resulted in near infra-red fluorescence in the cytoplasmic compartment (Figure 1C). However, their fluorescence yield was low. Topical application of FS resulted in diffusive staining of both the cytoplasm and the nucleus, which made it difficult to outline its nuclear morphology and other details (Figure 1C).
Only AH and CV were then selected for the evaluation of human oral ex vivo samples (Figure 2). With AH staining, individual cell nuclei were easily visible as bright dots in fluorescence images obtained with confocal microscopy (Figures 2A and 2B). On one hand, the AH stained-transversal section of the oral mucosa showed multi-layering and uniform polarity of the differentiated cells that distinguished the squamous epithelium (Figure 2C). On the other hand, the uptake of CV by the epithelial cells of the human oral mucosa was low (Figures 2D and 2E) with poor nuclear-to-cytoplasm contrast (Figure 2E). As shown in Figure 2F, occasional cells displayed bright cytoplasmic fluorescence in CV staining, but their morphology suggested that they were Langerhans cells and not epithelial cells. Finally, we selected AH as the best contrast agent to be used in ex vivo confocal imaging.
Confocal imaging histology of normal oral mucosa using Acriflavine Hydrochloride
The lining epithelium of the oral cavity is stratified squamous epithelium which consists of flattened (squamous) cells on the surface overlying multiple layers of cells that are usually cuboidal toward the base of the epithelium. Using confocal microscopy after topical application of AH on both the surface and basal sides of the ex vivo specimen and allowing a longer time of incubation for better dye penetration, we successfully visualized all representative layers of the squamous epithelium from an eagle’s eye point of view. The cells on the basal layer were crowded with small, monotonous and spherical nuclei (Figure 3A). The basal cells continuously produced new differentiated cells with nuclei that appeared spherical and larger in size a wider inter-nuclear space (Figure 3B). As these cells were pushed upwards into overlying layers, they became flatter and contained elliptical nuclei with an even wider inter-nuclear space and a more prominent cell-cell border with a typical squamous shape (Figure 3C). A good analogy for their shape is paving stones (squamous epithelium has also been called “pavement” epithelium). When the cells reached the top, their nuclei were either pyknotic, small and dense (Figure 3D) or absent (Figure 3E). These are dead cells that have been sloughed off and replaced by cells from below. The connective tissue underlying the squamous epithelium was composed of spindle-shaped cells with elongated nuclei (Figure 3F). Similar layering and stratification can also be observed in Figure 2C.
Histopathology-like confocal imaging of oral dysplasia
Thirty-three lesional and normal human oral mucosa specimens were obtained from thirteen patients during excisional surgery. Although superficial topical application of AH strongly stained the epithelial cell nuclei, the dye did not penetrate deeply into the stratified epithelium, thereby limiting the imaging depth to the top 50–100 μm. We recorded the confocal microscopy images at a standard depth of 50 μm for each specimen. Figure 4 shows representative sets of confocal images with the corresponding histology using formalin-fixed, paraffin-embedded H&E staining at a definitive pathology diagnostic level from normal, moderate dysplasia to severe dysplasia. In confocal imaging at 50 μm from the surface, the normal epithelium was characterized by regularly spaced cell nuclei with uniform size and shape (Figure 4B); moderate dysplasia was characterized by an increase in the density of irregularly-spaced nuclei with an occasional irregular nuclear border (Figure 4D); and severe dysplasia was characterized by its intense nuclear fluorescent staining (hyperchromasia), variable nuclear shape and size (pleomorphism), and an increased density of irregularly-spaced nuclei (Figure 4F). Table 1 correlates the description of the nuclear morphological finding in confocal imaging with the final pathology in H&E histology for all the cases. The confocal microscopy was able to detect severe dysplasia lesions with 100% accuracy. Normal mucosa, hyperplasia and mild dysplasia appeared identical at the confocal examination of the surface epithelium. The confocal descriptions in moderate dysplasia were inconsistent.
Table 1.
Cases | Age (years) | Sex | Smoking History | Smoking Details | Current Heavy Drinka | Site | Samples | Nuclear features in confocal imaging
|
H&E histology | ||
---|---|---|---|---|---|---|---|---|---|---|---|
Density | Cell-Cell spacing | Size and shape | |||||||||
Patient 1 | 82 | M | FS | 48 Pack-year, quit for 10 years | N | Tongue | # 1 | markedly increased | irregular | variable | Severe dysplasia |
| |||||||||||
Patient 2 | 50 | M | FS | 31 Pack-year, quit for 1 year | N | Floor of Mouth | # 1 | normal | regular | uniform | Normal mucosa |
| |||||||||||
Patient3 | 68 | M | S | 67 Pack-year | N | Floor of Mouth | # 1 | markedly increased | irregular | variable | Severe dysplasia |
# 2 | slightly increased | irregular | uniform | Moderate dysplasia | |||||||
# 3 | normal | regular | uniform | Hyperplasia | |||||||
# 4 | normal | regular | uniform | Hyperplasia | |||||||
# 5 | slightly increased | irregular | uniform | Moderate dysplasia | |||||||
# 6 | markedly increased | irregular | variable | Severe dysplasia | |||||||
| |||||||||||
Patient 4 | 61 | M | FS | 25 Pack-year, quit for 13 years | N | Soft Palate | # 1 | normal | regular | uniform | Mild dysplasia |
# 2 | normal | regular | uniform | Hyperplasia | |||||||
# 3 | normal | regular | uniform | Hyperplasia | |||||||
| |||||||||||
Patient 5 | 42 | F | NS | - | N | Tongue | # 1 | normal | regular | uniform | Normal mucosa |
# 2 | normal | regular | uniform | Normal mucosa | |||||||
# 3 | normal | regular | uniform | Normal mucosa | |||||||
# 4 | normal | regular | uniform | Normal mucosa | |||||||
| |||||||||||
Patient 6 | 70 | M | FS | 50 Pack-year, quit for 1 year | N | Soft Palate | # 1 | normal | regular | uniform | Mild dysplasia |
# 2 | normal | regular | uniform | Moderate dysplasia | |||||||
| |||||||||||
Patient 7 | 34 | F | NS | - | N | Tongue | # 1 | normal | regular | uniform | Normal mucosa |
# 2 | normal | regular | uniform | Normal mucosa | |||||||
| |||||||||||
Patient 8 | 83 | F | NS | - | N | Tongue | # 1 | normal | regular | uniform | Mild dysplasia |
# 2 | normal | regular | uniform | Mild dysplasia | |||||||
| |||||||||||
Patient 9 | 68 | F | FS | 30 Pack-year, quit for 28 yrs | N | Tongue | # 1 | markedly increased | irregular | variable | Severe dysplasia |
# 2 | markedly increased | irregular | variable | Severe dysplasia | |||||||
| |||||||||||
Patient 10 | 64 | M | S | 46 Pack-year | Y | Soft Palate | # 1 | normal | regular | uniform | Mild dysplasia |
# 2 | markedly increased | irregular | variable | Severe dysplasia | |||||||
Paient11 | 49 | M | NS | - | N | Tongue | # 1 | normal | regular | uniform | Normal mucosa |
# 2 | normal | regular | uniform | Normal mucosa | |||||||
| |||||||||||
Patient 12 | 70 | M | FS | 33 Pack-year, quit for 18 years | N | Tongue | # 1 | normal | regular | uniform | Normal mucosa |
# 2 | normal | regular | uniform | Normal mucosa | |||||||
| |||||||||||
Patient 13 | 84 | M | FS | 43 Pack-year, quit for 24 years | N | Tongue | # 1 | markedly increased | irregular | variable | Severe dysplasia |
# 2 | markedly increased | irregular | variable | Severe dysplasia |
Current heavy drinker: ≥3 units/day; 1 unit = 1 glass of wine, 1 can of beer, or 1 shot of liqour
Quantitative histological analysis
To better quantify the changes observed above, we have also used the Getafics image analyzer software to objectively calculate the cellular density (Figure 5A). There was an increase in the median of cellular density with the severity of dysplasia: 5.1×10−4, 4.7×10−4, 5.1×10−4, 13.3×10−4, and 28.1×10−4 nuclei per square mm in normal, hyperplasia, mild dysplasia, moderate dysplasia, and severe dysplasia respectively (Figure 5B). There is a significant difference of the cellular density in the high-grade dysplasia group compared to the low-grade dysplasia group and normal/hyperplasia group (P = 0.0001) (Figure 5C). There is no statistically significant difference in the cellular density between the low-grade lesions (mild and moderate dysplasia). Figure 5D shows the scattergram of cellular density in the 3 main groups of progression risk and demonstrates the ability of the cellular density to clearly discriminate the high-grade dysplasia group among the others (Figure 5D). These findings are consistent with our observation and give a more objective approach to observe the change among various histological degrees.
DISCUSSION
Central principles in the cancer management are the early detection of pre-malignant disease and complete or maximal extirpation of diseased tissue. Optical imaging technologies have potential applications that would substantially improve current medical practice and optimize cancer management, particularly for early detection and screening.
Techniques such as reflectance spectroscopy15, fluorescence spectroscopy16 and autofluorescence17 are being used to extract information from oral mucosa on the basis of the interaction of light with endogenous tissue fluorophores. However, in vivo confocal microscopy reveals the actual cellular structures and as such is a form of in vivo histology. This implies the application of exogenous fluorophores that stain cellular structures in order to provide strong and clear cellular contrast that is sufficient to allow real-time interaction with live imaging streams.
Targeted, optically active molecular probes are currently being developed to specifically label extra- and intracellular biomarkers of cancers18. This new emerging technique will enable to acquire fluorescent optical images of specific molecular targets while still providing morphologic context of the tissue. In the meantime, a limited number of fluorescent dyes are registered for clinical use in real time confocal microscopy. In the present study, we showed that Acriflavine Hydrochloride provides the best cellular contrast by preferentially staining the nuclei of the epithelium. Acriflavine has a long history of clinical use as an antiseptic agent19, a comprehensive safety data record and is being used widely for confocal endomicroscopy in gastro-intestinal tract20.
To be effective in the use of this technology, the future physician will need to be familiar with detailed histological appearances of normal human oral mucosa. This, in turn, will lead to a new breed of “clinician pathologist” capable of defining tissue changes accompanying dysplasia on real-time optical imaging. Because confocal microscopy offers images of living samples by reducing out-of-focus light from above and below the focal plane, we were able to generate optical slices and provide a multilayered atlas of oral epithelium images consisting of en face histology-like sections as per standard histology slides. We have demonstrated that this technology is reliable to define morphological characteristics of each cellular layer of the human oral mucosa, from the surface to the basal layer.
The stratified squamous epithelium of the oral mucosa, with its multiple layers of cells, is a diffusive cell barrier allowing fluids to pass through gradually. Subsequently, limitations of the topical application of fluorophores stain in a short length of time can include limited infiltration depth. In our study, topical application has allowed the observation of surface epithelium structures from 50 to 100 μm deep. For normal anatomy appreciation, we managed to stain the basal layer by applying the dye on the bottom side of the ex vivo specimens but this is not reproducible in vivo. Imaging depth could be increased by intravenous administration of the fluorophore dye, as it is being done with Fluorescein Sodium for gastro-intestinal endomicroscopy20. However, AH does not have the approval for intravenous delivery and the preparation of a preliminary IV line would not be convenient for massive screening strategy in the clinical settings. Most importantly, our results showed that even limited depth imaging of the surface epithelium displays sufficient diagnostic informations to detect high-grade dysplasia.
With confocal microscopy, malignant nuclei were clearly identifiable as they showcased increased fluorescence intensity and polymorphism in size and shape. These confocal morphometric features are consistent with classical descriptions of malignant nuclei in standard H&E examination. Severe dysplasia lesions were easily distinguished because dysplastic cells reach the top of oral epithelium and their identification was then possible by the superficial staining. However, it was challenging to make a clear distinguishing of mild and moderate dysplasia based on nuclear features at 50 μm from the surface. This is because the fact that the stain did not constantly penetrate into deeper layer of oral epithelium. Moderate dysplasia is considered to be a slightly elevated risk of progression comparing to mild dysplasia. We had to consider additional parameters in order to improve the accuracy of moderate dysplasia detection.
The application of this work to clinical practice is limited by the ex vivo tissue model and the likely image quality of an in vivo device. Images of freshly excised ex vivo tissue samples are likely to be different from those imaged in vivo. There may be differences in tissue morphology and dye uptake post resection, however, our experience has shown these differences are small. The image quality (field-of-view and confocality) of a small handheld confocal wand suitable for clinical deployment will likely be inferior compared to those images presented here using bench-top confocal microscope. Due to space constrains in the oral cavity, it is technically challenging to construct a handheld wand with the same optical performance as a microscope objective. Initial results from our handheld device suggest image quality is degraded only slightly (due to decrease in confocality) compared to bench-top microscopy and that the spatial arrangement of cells is still clear.
We have started testing a handheld confocal wand for in vivo imaging of potentially malignant lesions. Initial results suggest that in vivo confocal microscopy may have the potential to significantly improve biopsy site selection, particularly in the cases of potentially malignant lesions where determination of the worst (or most at risk) area to biopsy can be problematic, leading to improved diagnosis by histopathology. In addition, the technology could offer real-time determination of surgical margins and the ability to monitor recurrence or progression, and response to therapy, in real time. Moreover, the handheld confocal wand could also be used in vivo to image molecular targets correlated with carcinogenesis.
Quantitative pathology is a computer-driven approach that uses image analyzer software to objectively assess both of the cytological and architectural features of histological sections of oral mucosa21. Because the interpretation of confocal images would be dependent on the observer’s experience, the accuracy of diagnostic would be subject to a learning curve similar to that for histopathology. We propose the use of image analyzers as an adjunct tool to assist the users of real time confocal microscopy. The quantitative measurement of cellular density alone would be able to correlate the superficial confocal microscopy appearance with the presence of high-grade dysplasia. Thus, the combination of nuclear morphologic features with nuclear density would optimize the diagnostic performance of confocal microscopy.
In conclusion, confocal microscopy of the human oral mucosa using AH as the contrast agent can provides real-time imaging of oral mucosa architecture and nuclear morphology. This technology can help detect precancerous lesions that are at risk of cancer progression. Pending further clinical investigation and technological improvement, real-time confocal microscopy may become a useful adjunct to detect occult oral dysplasia, direct biopsy, delineate excision margins and surveillance. As with all new technologies, in vivo confocal microscopy requires careful testing and thorough evaluation before clinical incorporation in the workplace. A clinical trial using a hand-held confocal probe is being implemented in our institute to evaluate the impact of this promising technology in the clinical practice.
Acknowledgments
This work was supported by the Canadian Institutes of Health Research and grant number P01-CA-82710-09 from the National Cancer Institute. The HaCaT cell line was generously provided by Prof. Dr. Norbert Fusenig, German Cancer Research Center (Heidelberg, Germany).
Abbreviations
- AH
Acriflavine Hydrochloride
- CV
Cresyl Violet
- TB
Toluidine Blue
- MB
Methylene Blue
- FS
Fluorescein Sodium
- H&E
Hematoxylin and eosin stain
Footnotes
Conflict of interest statement
None declared.
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