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Evaluation of an autofluorescence based
imaging system (VELscope (TM)) in the
detection of oral potentially...
Article in Oral Oncology · March 2011
DOI: 10.1016/j.oraloncology.2011.02.001 · Source: PubMed
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Oral Oncology 47 (2011) 274–277
Contents lists available at ScienceDirect
Oral Oncology
journal homepage: www.elsevier.com/locate/oraloncology
Evaluation of an autofluorescence based imaging system (VELscope™) in the
detection of oral potentially malignant disorders and benign keratoses
K.H. Awan a, P.R. Morgan b, S. Warnakulasuriya a,c,⇑
a
Oral Medicine, Department of Clinical & Diagnostic Sciences, King’s College London Dental Institute, United Kingdom
Head & Neck Pathology, Department of Clinical & Diagnostic Sciences, King’s College London Dental Institute, United Kingdom
c
WHO Collaborating Centre for Oral Cancer, United Kingdom
b
a r t i c l e
i n f o
Article history:
Received 24 November 2010
Received in revised form 28 January 2011
Accepted 1 February 2011
Keywords:
Autofluorescence
Oral potentially malignant disorders
Sensitivity and specificity
VELscope
Early detection
s u m m a r y
Early detection of oral cancer is crucial in improving survival rate. Identification and detection of oral
potentially malignant disorders (OPMD) allow delivery of interventions to reduce the evolution of these
disorders to malignancy. A variety of new and emerging diagnostic aids and adjunctive techniques are
currently available to potentially assist in the detection of OPMD. The objective of the present study
was to evaluate the accuracy of autofluorescence against conventional oral examination and surgical
biopsy.
A total of 126 patients, 70 males and 56 females (mean age 58.5 ± 11.9 years) who presented to the Oral
Medicine Clinics at King’s and Guy’s Hospitals, London with oral white and red patches suspicious of
OPMD were enrolled. Following a complete visual and autofluorescence examination, all underwent an
incisional biopsy for histopathological assessment.
Seventy patients had oral leukoplakia/erythroplakia, 32 had oral lichen planus, 9 chronic hyperplastic
candidiasis and rest frictional keratosis (13) or oral submucous fibrosis (2). Of 126 lesions, 105 (83%)
showed loss of fluorescence. Following biopsy 44 had oral epithelial dysplasia (29 mild, 8 moderate
and 7 severe). The sensitivity (se) and specificity (sp) of autofluorescence for the detection of a dysplastic
lesion was 84.1% and 15.3% respectively.
While VELscope was useful in confirming the presence of oral leukoplakia and erythroplakia and other
oral mucosal disorders, the device was unable to discriminate high-risk from low-risk lesions.
Ó 2011 Elsevier Ltd. All rights reserved.
Introduction
Oral cancer is a growing problem in many European countries
including the United Kingdom.1 Delays in diagnosis are frequently
reported2 either due to poor symptom recognition3 or missed diagnosis.4 The UK guidelines for the early diagnosis of Head & Neck
cancers were published in 2005 setting out criteria for urgent
referral for suspicious lesions5 and the British Dental Association
and FDI recommend that systematic visual screening examination
should be carried out on every patient at the beginning of a new
course of treatment. While detection of asymptomatic cancers
could be a problem in dental practices due to poor attendance of
high-risk patients6, oral potentially malignant disorders7 (OPMD)
provide a long preclinical phase during which high-risk patients
could be identified to provide interventions.
⇑ Corresponding author. Address: Department of Oral Medicine, King’s College
Hospital, Bessemer Rd., London SE5 9RS, United Kingdom. Tel.: +44 20 3 299 2430,
fax: +44 20 3 299 3426.
E-mail address: s.warne@kcl.ac.uk (S. Warnakulasuriya).
1368-8375/$ - see front matter Ó 2011 Elsevier Ltd. All rights reserved.
doi:10.1016/j.oraloncology.2011.02.001
Opportunistic screening by visual clinical examination at dental
practices will identify OPMD and other mucosal disorders with
similar clinical presentations.8 It is estimated that up to 15% of
the population have oral mucosal diseases at any one time, but
only very few have the characteristics of OPMD.9 It is therefore a
problem for practitioners to identify and refer OPMD with confidence. Several chair-side adjunctive aids have been developed to
help practitioners with oral cancer screening with the aim of
diagnosing high-risk lesions. None of these have been tested adequately in primary care settings.10
Autofluorescence is one potential technique that may be used to
facilitate the visualisation and management of oral cancer and
OPMD. As early as in 1924, it was observed that the autofluorescence of tissues could potentially be used for cancer detection.11
Autofluorescence works on the principle that certain biofluorophores present within the tissue become fluorescent on excitation
with a suitable wavelength (400–460 nm) light source. However,
diseased tissues lose fluorescence (fluorescence visualisation loss
– FVL) due to disruption in the distribution of these biofluorophores, and appear darker in colour.
275
K.H. Awan et al. / Oral Oncology 47 (2011) 274–277
The aim of this study was to evaluate the accuracy of autofluorescence examination in its ability to delineate high-risk oral
mucosal lesions from other lesions already diagnosed by a specialist, to allow estimates of sensitivity and specificity of the
technique.
Table 1
Patient characteristics.
All
Materials and methods
One hundred and sixty-four consecutive patients aged over
16 years presenting in oral medicine clinics at two London Hospitals with white, red and mixed white and red patches were invited
to participate in the study. One hundred and twenty-six patients
(76.8%) consented and were investigated by a standard protocol
that involved clinical visual examination and autofluorescence
examination followed by biopsy. The study was approved by Institutional Research and Ethics Committees (08/H0808/20).
Following a comprehensive clinical examination under an
incandescent light source the clinical diagnosis was established
by the operator (KHA) and validated by a second experienced
examiner (SW). The principal area (site) of morphologically altered
mucosa was selected excluding any ulcerated areas (by consensus
of both examiners) and photographed. All further investigations
were performed on this clinically detected area of mucosal abnormality. Autofluorescence examination was performed using the
VELscope™ (Visually Enhance Lesion Scope) under dimmed room
light, with protective eye wear worn by the patient throughout
the procedure. The possible outcome of the autofluorescence
examination was determined by the manufacturer’s literature i.e.
FVL – fluorescence visualization loss, FVR – fluorescence visualization retained and FVI – fluorescence visualization increased. Both
examiners were calibrated by an experienced professional from
the LED Diagnostics (the manufacturer).
A surgical biopsy was performed for histopathological assessment and the selection of the biopsy site took into consideration
any area of FVL identified by the VELscope within the lesion. The
presence or absence of dysplasia in the biopsy specimen was recorded by an experienced oral pathologist (PRM).
Data collected was entered through the IBM SPSS 18 (Statistical
Package for the Social Sciences). Sensitivity and specificity of the
autofluorescence test results, compared to clinical diagnosis by a
specialist and dysplasia grade from biopsy, were calculated. Differences and associations between the autofluorescence test and dysplasia grade were examined using either Fisher’s exact test or v2
test with significance set at P < 0.05. All tests were two-sided. A receiver operating characteristic (ROC) curve was used to estimate
the diagnostic value of the test.
Results
The profile of 126 patients enrolled in this study is given in Table 1. Of 126 lesions, more than half (n = 70) were clinically diagnosed as either leukoplakia or erythroplakia. Thirteen lesions
were clinically diagnosed as frictional keratoses and 32 as oral lichen planus or lichenoid reaction. The remaining lesions consisted
of 9 chronic hyperplastic candidiasis and 2 oral submucous fibrosis. One hundred and sixteen patients underwent surgical biopsy
from which oral epithelial dysplasia was confirmed in 44 patients.
Autofluorescence examination was performed on all 126 patients. One hundred and five lesions showed FVL (83.3%) whereas
16 retained the fluorescence (12.7%) and appeared apple green in
colour. Three of the lesions showed increased fluorescence and 2
had a mixed result showing both loss and increased fluorescence
in different areas within the lesion. Of 105 FVL cases, more than
50% (n = 53) showed complete loss of fluorescence whereas 29
*
**
Leuko/erythroplakia
Dysplasia**
n = 126
%
n = 70
%
n = 44
%
Gender
Male
Female
70
56
55.6
44.4
46
24
65.7
34.3
26
18
59.1
40.9
Ethnicity
White
Non-white*
76
50
60.3
39.7
51
19
72.8
27.2
28
16
63.6
36.4
Tobacco history
Current smokers
Ex-smokers
Never smoked
61
28
37
48.4
22.2
29.4
41
15
14
58.6
21.4
20.0
24
13
7
54.5
29.5
15.9
Alcohol history
Current users
Ex-users
Never used
92
8
26
73.0
6.4
20.6
57
3
10
81.4
4.3
14.3
33
5
6
75.0
11.4
13.6
Lesion site
Buccal mucosa
Tongue
Floor of mouth
Palate
Alveolar ridge
54
40
14
11
7
42.9
31.7
11.1
8.7
5.5
21
21
11
11
6
30.0
30.0
15.7
15.7
8.6
13
17
8
4
2
29.5
38.6
18.2
9.1
4.5
Non-white included 26 Asians, 22 Afro-Caribbean and 2 of mixed ethnicity.
Mild, 29; moderate, 8; severe, 7.
showed partial loss of fluorescence. In 23 lesions, FVL extended beyond the clinically evident oral lesion.
Leuko/erythroplakia vs. other group
Of 70 leuko/erythroplakia cases, 61 (87.1%) showed FVL
whereas only 9 (12.9%) that appeared clinically white had a negative test result (Table 2). All 9 cases of erythroplakias showed FVL.
In the case of other oral diagnostic categories, 44 (78.6%) showed
FVL with the remaining 12 (21.4%) showing a negative test outcome. In particular, among the 13 frictional keratosis cases, 9
(69.2%) showed FVL. Autofluorescence examination showed a sensitivity and specificity of 87.1% and 21.4%, respectively. Positivity of
autofluorescence (FVL) for the leuko/erythroplakia group was not
significantly different compared with the other group (v2 = 1.65,
P = 0.23). ROC curve for autofluorescence as a tool to detect leuko/erythroplakias showed a poor diagnostic value (AUC = 0.52,
95% CI: 0.42–0.62, P = 0.72).
Dysplasia group
Autofluorescence showed a sensitivity of 84.1% as 37 out of 44
lesions with dysplasia recorded as FVL in contrast to only 7 which
did not show any FVL. Among the 7 FVL negative dysplasias, 5 were
graded mild and 2 as moderate. But the autofluorescence was not
highly specific for dysplastic oral lesions as FVL was observed in 61
(84.7%) of the non-dysplastic oral lesions, leading to a low specificity (15.3%). No significant difference was noted among the dysplasia group in relation to the autofluorescence test results (v2 = 0.00,
P = 1.00). ROC curve for autofluorescence as a tool for the detection
of dysplasia group also showed a poor diagnostic value
(AUC = 0.49, 95% CI: 0.39–0.61, P = 0.96).
Discussion
Five-year survival rates for oral cancer have not changed for
several decades. Poor survival is at least in part due to the failure
in early detection of OPMD and oral cancers. To this end improving
diagnostic abilities of primary care dentists/physicians and also
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K.H. Awan et al. / Oral Oncology 47 (2011) 274–277
Table 2
Autofluorescence in relation to leuko/erythroplakia and dysplasia.
Diagnosis
Leuko/erythroplakia*
Leukoplakia
Erythroplakia
Others
Dysplasia**
Non-dysplastic
*
**
Cases
Autofluorescence
(n)
FVL
FVR
70
61
9
56
44
72
61
52
9
44
37
61
9
9
0
12
7
11
Se
Sp
PPV
NPV
87.1
21.4
58.1
57.1
84.1
15.3
37.8
61.1
Based on WHO7 criteria confirmed by a specialist.
Based on WHO12 criteria included mild, moderate and severe cases.
Table 3
Characteristics of VELscope system observed in the present study.
Strengths
Limitations
1.
2.
3.
4.
5.
6.
1.
2.
3.
4.
Simple to use and non-invasive
No consumable reagents needed/no recurrent cost
Provides real time results
Can be performed by a wide range of operators after short training
Limited operator variability
High sensitivity for any oral mucosal disorder
facilitating less interventional investigations in secondary care
units remain important cornerstones in the research agenda. We
investigated the utility of autofluorescence as a diagnostic test to
evaluate its accuracy in the detection of oral leuko/erythroplakia
and oral epithelial dysplasia.
FVL was observed in the majority (87.1%) of the clinically diagnosed cases of leuko/erythroplakias, lesions that carry a relatively
higher risk of malignant transformation compared to other OPMD.
More interestingly, FVL was positive in all 9 cases of erythroplakia
giving a sensitivity of 100%. FVL was also observed in the majority
of the cases (84.1%) that were histopathologically diagnosed as
dysplasia and notably the VELscope detected all severe dysplasia
cases (n = 9). These results notably demonstrate the ability of the
technique to detect high-risk lesions. However, it was disappointing to note that autofluorescence examination was positive in
majority of the other white/red lesions that to a non-specialist
could resemble leuko/erythroplakia. This finding re-affirms the
lack of specificity of the technique for the detection of leuko/erythroplakia. In addition, VELscope was also unable to detect 7 dysplasias (5 mild, 2 moderate), thus further undermining the utility of
the device, if the objective is to pick all dysplasia cases. Limitations
of autofluorescence in discriminating between dysplasia and nondysplasia cases have been reported in a recent study13 where 6
cases of dysplasia were not detected by the VELscope.
Comparison of the results of the present study with published
data proved to be difficult due to limited number of studies in
the literature reporting sensitivity and specificity of the device.
Only one previous study appears to have employed autofluorescence in a systemic examination on a cohort of patients. The study
was conducted at the British Columbia Cancer Agency (BCCA)
where a prototype of the VELscope was investigated by the
group.14 Using the blue-excitation light, 50 lesions were examined
which included 33 oral cancers, 11 severe dysplasia and carcinoma-in-situ and 6 with no oral mucosal lesions. The authors reported a sensitivity of 98% and specificity of 100% against the
gold standard (histology). Our data show a low specificity (15.3%)
for the technique. We were able to demonstrate this by the inclusion of several benign disorders, thus reducing the ‘spectrum bias’
encountered in published studies – a desirable feature of our study.
Two other studies on VELscope reported contrasting results on
its utility. Huber et al.15 reported that VELscope failed to detect
Needs a dark environment
High initial setting-up cost
No permanent record unless photographed
Low specificity for dysplasia, high referral rate and over-treatment
any additional suspicious lesions not identified by conventional
oral examination, and Huff et al.16 reported an increase in prevalence of mucosal disorders in a second cohort subjected to VELscope, compared with an earlier cohort examined visually only.
Their research was seriously flawed as they did not consider alternative possible reasons for a true increased prevalence of disorders
in the later cohort.
As sufficient studies had not examined sensitivity and specificity of the VELscope system, our data need to be discussed against
the backdrop of sensitivity and specificity reported for clinical visual screening. Moles et al.17 in a meta-analysis of 7 screening
studies determined the sensitivity and specificity values of clinical
screening in the range of 0.60–0.95 and 0.81–0.94, respectively. It
is clear that adjunctive use of the VELscope does not provide added
value to visual examination by trained operators.18
This study should not be seen as a screening study as our data
are specific to a hospital population referred following the detection of a range of mucosal abnormalities by primary care practitioners. So far no studies have been reported for evaluating VELscope
for screening the population. Balevi19 highlighted that the adoption
of VELscope as a routine cancer-screening device is premature.
Screening for OPMD using this test system warrants further investigation, but ethical aspects of further investigation of an area with
FVL detected by VELscope only, in the absence of a clinically evident lesion would need careful consideration. The limitations of
the current study include (a) not exploring the differences between
the complete vs. partial FVL cases, and (b) lack of refined methodology dictating the biopsy site with reference to large and heterogeneous lesions and VELscope data.
Based on our experience of undertaking the largest study so far
on the use of autofluorescence on a series of OPMD, Table 3 summarizes the benefits and limitations of the adjunctive tool.
Conclusion
In conclusion, our study demonstrated a relatively high sensitivity (84%) and a low specificity (15%) in discriminating high-risk
(dysplasias) from benign lesions. Further well designed studies are
needed to examine the role of VELscope as an oral examination
system in primary care.
K.H. Awan et al. / Oral Oncology 47 (2011) 274–277
Conflict of interest statement
We thank Dr. Connie Yang for assistance in setting up the data
entry system and Dr. Derek Cooper for the data analysis. VELscope
system for the study was supplied by LED Diagnostics.
References
1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of
worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer
2010;127:2893–917.
2. Gómez I, Warnakulasuriya S, Varela-Centelles PI, López-Jornet P, SuárezCunqueiro M, Diz-Dios P, et al. Is early diagnosis of oral cancer a feasible
objective? Who is to blame for diagnostic delay? Oral Dis 2010;16:333–42.
3. Grant E, Silver K, Bauld L, Day R, Warnakulasuriya S. The experiences of young
oral cancer patients in Scotland: symptom recognition and delays in seeking
professional help. Br Dent J 2010;208:465–71.
4. Lovas JG, Daley TD, Kaugars GE, Wright JM. Errors in the diagnosis of oral
malignancies. J Can Dent Assoc 1993;59:935–8.
5. Available from: <http://www.nice.org.uk/nicemedia/pdf/CG027publicinfo.pdf#>.
6. Netuveli G, Sheiham A, Watt RG. Does the ‘inverse screening law’ apply to oral
cancer screening and regular dental check-ups? J Med Screen 2006;13:47–50.
7. Warnakulasuriya S, Johnson NW, van der Waal I. Nomenclature and
classification of potentially malignant disorders of the oral mucosa. J Oral
Pathol Med 2007;36:575–80.
8. Lim K, Moles DR, Downer MC, Speight PM. Opportunistic screening for oral
cancer and precancer in general dental practice: results of a demonstration
study. Br Dent J 2003;194:497–502.
View publication stats
277
9. Scully C, Bagan JV, Hopper C, Epstein JB. Oral cancer: current and future
diagnostic techniques. Am J Dent 2008;21:199–209.
10. Patton LL, Epstein JB, Kerr AR. Adjunctive techniques for oral cancer
examination and lesion diagnosis: a systematic review of the literature. J Am
Dent Assoc 2008;139:896–905.
11. Policard A. Etude sur les aspects offerts par des tumeurs expérimentales
examinées a la lumie‘re de Wood. C R Soc Biol (Paris) 1924;91:1423–4.
12. World Health Organization. World Health Organization Classification of
Tumours. In: Barnes L, Eveson JW, Reichart P, Sidransky D, editors. Pathology
& genetics. Head and neck tumours. Lyon: International Agency for Research on
Cancer (IARC) IARC Press; 2005, p. 177–79.
13. Mehrotra R, Singh M, Thomas S, Nair P, Pandya S, Nigam NS, et al. A crosssectional study evaluating chemiluminescence and autofluorescence in the
detection of clinically innocuous precancerous and cancerous oral lesions. J Am
Dent Assoc 2010;141:151–6.
14. Lane PM, Gilhuly T, Whitehead P, Zeng H, Poh CF, Ng S, et al. Simple device for
the direct visualization of oral-cavity tissue fluorescence. J Biomed Opt
2006;11:024006.
15. Huber MA. Assessment of the VELscope as an adjunctive examination tool. Tex
Dent J 2009;126:528–35.
16. Huff K, Stark PC, Solomon LW. Sensitivity of direct tissue fluorescence
visualization in screening for oral premalignant lesions in general practice.
Gen Dent 2009;57:34–8.
17. Moles DR, Downer MC, Speight PM. Meta-analysis of measures of performance
reported in oral cancer and precancer screening studies. Brit Dent J
2002;192:340–4.
18. Downer MC, Moles DR, Palmer S, Speight PM. A systematic review of test
performance in screening for oral cancer and precancer. Oral Oncol
2004;40:264–73.
19. Balevi B. Evidence-based decision making: Should the general dentist adopt the
use of the VELscope for routine screening for oral cancer? JCDA 2007;73:603–6.