|
1.IntroductionSurvival rates for oral squamous cell carcinoma (OSCC) have not shown significant improvement over the past 50 years: the 5-year and 10-year relative survival rates are 59 and 48%, respectively.1 This is paradoxical if we consider that an effective screening for OSCC is a simple noninvasive procedure, which needs only a 5-min visual inspection of the oral mucosa with lighting, gauze, and gloves.2 Adjunctive screening technologies have contributed in the last decades to the decrease of death rates in several malignant pathologies. Additional noninvasive techniques for the OSCC have been proposed to increase the visual inspection sensitivity and specificity.3 Toluidine blue (TB) is the most frequently used adjunctive complementary technique to assess oral mucosal neoplastic disorders. Introduced in 1964 by Niebel and Chomet, TB can be considered as the dean of the auxiliary techniques employed in the detection of OSCC. TB is a basic thiazine metachromic dye; its acidophilic properties are responsible for its affinity for nucleic acids, and therefore, TB binds nuclear material of tissues with a high DNA and RNA content.4 Positive lesions are stained in royal blue, while the negative ones appear pale blue or do not capture the dye.5 Autofluorescence (AF) induced by the Visually Enhanced Lesion Scope system (VELscope®; LED Dental Inc., White Rock, B.C.) is a manual device that detects the loss of fluorescence of dysplastic and neoplastic tissues by applying direct fluorescence. The loss of fluorescence is the consequence of a series of histological and biochemical alterations like a nicotinamide adenine dinucleotide increase (and consequential flavin adenine dinucleotide decrease), changes in collagen biochemistry due to the breakdown of the extracellular matrix by dysplastic cells, and neoangiogenesis.6 It consists of a source of light that emits a wavelength of 400 to 460 nm and a manual unit for direct visualization. Under this light, normal oral mucosa emits a green AF, whereas pathological areas absorb the fluorescent light and appear dark. The loss of fluorescence is an indicator of tissue derailment in the neoplastic direction. The aim of this study was to compare TB and AF in the detection of oral dysplasia and OSCC in clinically suspicious lesions according to conventional light examination. 2.Materials and Methods2.1.Study DesignThis is a double center, cross-sectional study, in which patients with suspicious premalignant and/or malignant oral mucosal lesions were observed in oral pathology and medicine outpatient settings. The clinic centers included in this study were from oral medicine communities with heterogeneity in social and economic circumstances and for which local investigators had committed to providing good-quality data during the study follow-up. 2.2.Patients RecruitmentsPatients were identified in clinics at two study sites: the Dental Clinic of the University “Aldo Moro” of Bari, and the Dental Clinic of the Second University of Naples and were enrolled after completing institutionally approved informed consent forms. Patients aged 18 years or over, male and nonpregnant, nonlactating women of all races able to provide written and informed consent were eligible for this study. Patients who had a history of oral lesions or were at high risk for an oral lesion were identified and asked to participate. After written consent was obtained, they were enrolled in the study. Patients who did not have a lesion identified during the conventional visual exam were excluded as well as patients with advanced and clinically obvious OSCC. The procedures followed were approved by the local ethical committee (n.4375) and in accordance with the ethical standards of the Helsinki Declaration of 1975, as revised in 2002. 2.3.Mucosal Examination
2.4.BiopsyA surgical biopsy was performed for histopathological assessment. All clinically identified lesions underwent biopsies irrespective of the findings with TB and the results of AF. Multiple biopsies were performed in multifocal lesions based on clinical findings; large lesions were excised in toto. All specimens were placed in 10% buffered formalin for fixation and then submitted for histopathological evaluation by a senior oral pathologist blinded to the clinical findings. We interpreted the histopathological outcomes in two different scenarios. In the first, positive lesions were considered: dysplasia (mild, moderate, and severe) and OSCC (in situ, microinvasive, invasive). In the second scenario, lesions that showed mild dysplasia were considered as negative. 2.5.Photo DocumentationPhoto documentation was carried out with a Nikon D70s, equipped with a Nikkor 105-mm Macro Lens and Macro Ring Lite (Sigma EM-140 DG, Nikon Corp., Tokyo, Japan). For all white-light pictures, the same parameters for ISO, exposure time, and aperture were used (ISO 800, 1/60 s, f 22). The automatic white balance set used for the AF pictures was the same as that for the white-light pictures. For correct visualization and documentation of AF patterns, the examination room was darkened. A dedicated coupler (PhotoMed International, Van Nuys, California) was attached to the macro lens and the VELscope eyepiece was then fitted to the coupler. For all AF-light pictures, the same parameters for ISO, exposure time, and aperture were used (ISO 1600, 1/60 s, f 08). The magnification factor as well as the angle of documentation were adjusted to the clinical picture so as to allow correct identification of altered autofluorescence patterns. 2.6.Data Analysis and StatisticsHistopathological results were considered as the gold standard and TB and AF outcomes were compared to them. The test (significance set at ) was used for additional analysis for categorical variables and relationships in the contingency tables. In detail, the test was used to test AF and TB properties (positive or negative) versus the gender, localization of the lesions, and histopathologic results (absence or presence of dysplasia/OSCC). Global validation of the test results was established by calculating the sensitivity, specificity, and accuracy and both the positive and negative predictive values from contingency tables. The Cohen’s kappa coefficient was used to evaluate the inter-rater agreement between (1) AF and TB, (2) histopathologic results and AF (in the first scenario), (3) histopathologic results and TB (in the first scenario), (4) histopathologic results and AF (in the second scenario), and (5) histopathologic results and TB (in the second scenario). Concordance was evaluated according to Landis and Koch who defined values as indicating no agreement, 0 to 0.20 as slight, 0.21 to 0.40 as fair, 0.41 to 0.60 as moderate, 0.61 to 0.80 as substantial, and 0.81 to 1 as perfect agreement.11 Statistical data were analyzed both considering mild dysplasia as positive and then considering mild dysplasia as negative. In Fig. 1, the study flow chart is represented. 3.ResultsBetween September 2012 and September 2013, 49 patients (22 female and 27 male) with an average age of 56.7 years were included in our study. Biopsies were performed in 56 lesions examined after the AF and TB examination. The histopathologic evaluation revealed the absence of dysplasia and/or OSCC in 26 lesions (46.4%). In the remaining 30 lesions, 13 (23.2%) were mild dysplasia, 2 (3.6%) were moderate dysplasia, 4 (7.1%) were severe dysplasia, and 11 (19.7%) were OSCC. Patients’ gender and lesion localization were not significantly related to AF and TB outcomes (). In the first scenario (mild dysplasia considered as positive), a statistically significant relationship existed between AF and histopathologic outcomes (), and TB and histopathologic outcomes (). In the second scenario (mild dysplasia considered as negative), only TB appeared significantly related to histopathologic features (), while AF examination displayed a border-line value () when compared to histopathologic data. In Table 1 the above-mentioned data are summarized. Table 1Comparison between data obtained considering mild dysplasia as positive or negative.
Note: AF, autofluorescence; TB, toluidine blue. Bold values are statistically significant. Table 2 shows the results concerning sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPP), and accuracy. Considering mild dysplasia as positive, AF examination showed a sensitivity and specificity of 70.0 and 57.7%, respectively, while TB showed a sensitivity of 80% and a specificity of 61.5%. The percentage of sensitivity increased in the second scenario (mild dysplasia as negative) in both AF (76.5%) and TB (88.2%). On the contrary, the specificity decreased in AF and TB, showing the same value (51.3%). PPV was higher in TB than in AF (70.6 versus 65.6%) as was the NPV (72.7 versus 62.5). If considered in the second scenario, PPV of TB was 44.1% and that of NPV was 90.9%; AF PPV was 40.6% and that of NPV was 83.3%. TB showed greater accuracy than AF in both the first (71.4 versus 64.3%) and second scenarios (62.5 versus 58.9%). Table 2Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy percentage for autofluorescence and toluidine blue.
Note: AF, autofluorescence; TB, toluidine blue. The strength of agreement between AF and TB as well as the concordance AF/histopathologic features and TB/histopathologic features are reported in Table 3. AF and TB showed a diagnostic agreement of 33.7%, which is considered to be fair. Similarly, the concordance AF/histopathologic features (in both the scenarios) and TB/histopathologic features in the second scenario revealed a low percentage of agreement (27.8, 22.2, and 30.8%, respectively). A moderate agreement was recorded between TB and histopathologic features in the first scenario with a concordance rate of 42.0%. Table 3Concordance percentage for autofluorescence and toluidine blue.
Note: AF, autofluorescence; TB, toluidine blue. Examples of lesions evaluated with AF and TB are showed in Figs. 2 and 3. 4.DiscussionThis is the first study, to our knowledge, that has compared TB and AF screening results with histopathologic findings in lesions deemed to be clinically suspicious according to conventional light examination. Of the 56 observed lesions, only 30 (56%) were characterized by dysplastic or carcinomatous aspects: AF and TB also showed good sensitivity rates when mild dysplasia was considered as negative, but did not show sufficient specificity. The main cause for the limited specificity was the rate of false positive results. The accuracy of the two tested methods decreased in the second scenario, indicating that TB and AF were also able to detect the initial changes related to dysplastic progression. Data about the low percentage of concordance between AF and TB suggest their complementary employment. AF and TB can be used in sequence on the same lesion, summing the properties of both the techniques, because AF does not invalidate the vital dye. Although conventional visual examination and tactile assessment of the whole oral cavity remains the gold standard for the identification of oral mucosal lesions, ancillary methods are useful to enhance the inspective capacity of the oral cavity in order to identify potential precancerous lesions as early as possible or to identify early OSCC. Both TB and AF are ancillary methods employed for this purpose. Different studies have separately evaluated the efficacy of AF or TB, but their direct comparison on the same lesions in the same patients had not yet been carried out. Few studies have compared the different noninvasive diagnostic methods employed in the ancillary diagnosis of OSCC. Balevi, using a probabilistic statistical model, analyzed the PPV and false positive rate of AF, OralCDx, and TB in three clinical scenarios: total population, adults ( years), and adults affected by visually obvious oral lesions. In this last population (not similar to our study population), the Balevi’s results indicated a false positive rate of 98.68 (TB), 91.48 (AF), and 91.89 (OralCDx), while the PPVs were 1.32 (TB), 8.52 (AF), and 8.11 (OralCDx). The author concluded that TB staining, AF, and OralCDx are not specific enough to distinguish noncancerous lesions from true cancerous lesions in the general population, but they may be beneficial in opportunistic screening programs or in cancer referral clinics when the pretest probability of oral cancer is likely to be .12 Patton et al., in their systematic literature review, found that the sensitivity of TB as a diagnostic adjunct varied from 38 to 98% (median, 85%) and the specificity varied from 9 to 93% (median, 67%). PPV ranged from 33 to 93% (median, 85%) and NPV from 22 to 92% (median, 83%).13 Patton’s review considered only two studies eligible for AF6,14 in which the reported sensitivities of AF as an adjunct to visual examination were 98 and 100%; specificities were 100 and 78%; PPVs were 100 and 66%, and NPVs were 86 and 100%, respectively. A direct comparison between AF and chemiluminescence plus TB was performed in a cross-sectional study in which the authors recorded a sensitivity of 0% and a specificity of 75.5% for the chemiluminescence, while AF showed a sensitivity of 50% and a specificity of 38.9%.15 Patients submitted to the chemiluminescent examination were different from the AF ones while in the present study, the comparison was performed on the same lesions of the same patients. Also, when compared to TB, the chemiluminescent exam resulted in improving the brightness and/or sharpness of margin in 61.8% of identified suspicious lesions. Biopsied lesions with TB stain retention reduced a false positive rate of 55.26% while maintaining 100% for NPV.16 A more recent cross-sectional study between TB and chemiluminescence suggests that TB retention test may be better suited than chemiluminescence to detect high-risk oral precancerous lesions.17 Güneri et al. designed a comparative study between TB and brush cytology in order to evaluate the diagnostic efficacy of the two tested methods.18 Mild and moderate dysplasia were considered as negative. They found a concordance (TB/brush cytology) of 30% for benign lesions and 61% for malignant lesions and concluded that adjuncts identified 92% of carcinoma in situ and SCC, in contrast to clinical findings alone in which 62% of these lesions were identified. We considered two different scenarios in this study: in the first, mild, moderate, and severe dysplasia, carcinoma in situ, or invasive carcinoma were considered as positive, while in the second, mild dysplasia was considered as negative. The rationale of this division was justified by two different meta-analysis data sets that provided evidence that the risk of developing invasive OSCC in mild, moderate, and severe dysplasia was , 13, and 24%, respectively, in 4.3 years.19,20 An interesting debate about this topic arose from an article by Epstein et al., who analyzed oral lesion biopsies identified and evaluated by visual examination, chemiluminescence, and TB.16,21 One of the potential limits of our study is that it was conducted by clinical experts in oral medicine and oral pathology. As such, the results may not be generalizable to the general population of practitioners who are not familiar with assessing suspicious lesions on a regular basis. AF and TB are both sensitive but not specific to diagnoses of OSCC and oral dysplasia. However, in a tertiary care setting, they may be useful as an adjunct to conventional visual examination. One of the most important limitations in AF use is that the threshold between fluorescence loss and diminished fluorescence is arbitrary and related to the experience of the user. Similarly, in the TB use, the border line between royal blue and pale blue is very subjective. A computer-aided colorimetric analysis may eliminate the interobserver bias, as proposed by Maeda et al., who applied this method in unstained lesions surrounding OSCCs and oral potentially malignant disorders using iodine.22 Our study design does not permit a full evaluation of the primary prevention performance of these tests but rather considers them in the tertiary care setting as a diagnostic aid in secondary and tertiary prevention of OSCC. Moreover, we designed a cross-sectional study in which the clinical expert first observed the lesion using AF and then observed using TB. So in this instance, all the AF information was available and could affect the TB determination. A recent Cochrane review stated that “no robust evidence was identified to support the use of other adjunctive technologies like TB, brush biopsy, or fluorescence imaging within a primary care environment. Further randomised controlled trials are recommended ….” 23 Our study can be considered useful for the evaluation of the most suitable technique in the lesions inspection that appear suspicious at the conventional visual examination. Further studies with larger cohort of patients are needed to better understand the potentiality of the different ancillary methods employed in the OSCC prevention and early detection. AcknowledgmentsThe authors are grateful to Professor Eugenio Maiorano for his histopathologic support. ReferencesP. E. Petersen,
“Oral cancer prevention and control—the approach of the World Health Organization,”
Oral Oncol., 45
(4–5), 454
–460
(2009). http://dx.doi.org/10.1016/j.oraloncology.2008.05.023 EJCCER 1368-8375 Google Scholar
M. D. MignognaS. Fedele,
“Oral cancer screening: 5 minutes to save a life,”
Lancet, 365
(9475), 1905
–1906
(2005). http://dx.doi.org/10.1016/S0140-6736(05)66635-4 LANCAO 0140-6736 Google Scholar
A. R. KerrS. S. Shah,
“Standard examination and adjunctive techniques for detection of oral premalignant and malignant lesions,”
J. Calif. Dent. Assoc., 41
(5), 329334
–331342
(2013). JCDEA6 0008-0977 Google Scholar
A. Mashberg,
“Reevaluation of toluidine blue application as a diagnostic adjunct in the detection of asymptomatic oral squamous carcinoma: a continuing prospective study of oral cancer III,”
Cancer, 46
(4), 758
–763
(1980). http://dx.doi.org/10.1002/1097-0142(19800815)46:4<758::AID-CNCR2820460420>3.0.CO;2-8 0002-8177 Google Scholar
H. H. NiebelB. Chomet,
“In vivo staining test for delineation of oral intraepithelial neoplastic change: preliminary report,”
J. Am. Dent. Assoc., 68 801
–806
(1964). 0002-8177 Google Scholar
P. M. Laneet al.,
“Simple device for the direct visualization of oral-cavity tissue fluorescence,”
J. Biomed. Opt., 11
(2), 024006
(2006). http://dx.doi.org/10.1117/1.2193157 JBOPFO 1083-3668 Google Scholar
D. C. De Veldet al.,
“The status of in vivo autofluorescence spectroscopy and imaging for oral oncology,”
Oral Oncol., 41
(2), 117
–131
(2005). http://dx.doi.org/10.1016/j.oraloncology.2004.07.007 EJCCER 1368-8375 Google Scholar
A. Mashberg,
“Tolonium (toluidine blue) rinse: a screening method for recognition of squamous carcinoma—continuing prospective study of oral cancer IV,”
JAMA, 245
(23), 2408
–2410
(1981). http://dx.doi.org/10.1001/jama.1981.03310480024019 JAMAAP 0098-7484 Google Scholar
A. Mashberg,
“Final evaluation of tolonium chloride rinse for screening of high-risk patients with asymptomatic squamous carcinoma,”
J. Am. Dent. Assoc., 106
(3), 319
–323
(1983). 0002-8177 Google Scholar
S. Gandolfoet al.,
“Toluidine blue uptake in potentially malignant oral lesions in vivo: clinical and histological assessment,”
Oral Oncol., 42
(1), 89
–95
(2006). http://dx.doi.org/10.1016/j.oraloncology.2005.06.016 EJCCER 1368-8375 Google Scholar
J. R. LandisG. G. Koch,
“The measurement of observer agreement for categorical data,”
Biometrics, 33
(1), 159
–174
(1977). http://dx.doi.org/10.2307/2529310 BIOMB6 0006-341X Google Scholar
B. Balevi,
“Assessing the usefulness of three adjunctive diagnostic devices for oral cancer screening: a probabilistic approach,”
Community Dent. Oral Epidemiol., 39
(2), 171
–176
(2011). http://dx.doi.org/10.1111/cdoe.2011.39.issue-2 CDOEAP 0301-5661 Google Scholar
L. L. PattonJ. B. EpsteinA. R. Kerr,
“Adjunctive techniques for oral cancer examination and lesion diagnosis: a systematic review of the literature,”
J. Am. Dent. Assoc., 139
(7), 896
–905
(2008). http://dx.doi.org/10.14219/jada.archive.2008.0276 0002-8177 Google Scholar
C. F. Pohet al.,
“Fluorescence visualization detection of field alterations in tumor margins of oral cancer patients,”
Clin. Cancer Res., 12
(22), 6716
–6722
(2006). http://dx.doi.org/10.1158/1078-0432.CCR-06-1317 CCREF4 1078-0432 Google Scholar
R. Mehrotraet al.,
“A cross-sectional study evaluating chemiluminescence and autofluorescence in the detection of clinically innocuous precancerous and cancerous oral lesions,”
J. Am. Dent. Assoc., 141
(2), 151
–156
(2010). http://dx.doi.org/10.14219/jada.archive.2010.0132 0002-8177 Google Scholar
J. B. Epsteinet al.,
“Analysis of oral lesion biopsies identified and evaluated by visual examination, chemiluminescence and toluidine blue,”
Oral Oncol., 44
(6), 538
–544
(2008). http://dx.doi.org/10.1016/j.oraloncology.2007.08.011 EJCCER 1368-8375 Google Scholar
S. Ujaoneyet al.,
“Evaluation of chemiluminescence, toluidine blue and histopathology for detection of high risk oral precancerous lesions: a cross-sectional study,”
BMC Clin. Pathol., 12
(1), 6
(2012). http://dx.doi.org/10.1186/1472-6890-12-6 BCPMB3 1472-6890 Google Scholar
P. Güneriet al.,
“The utility of toluidine blue staining and brush cytology as adjuncts in clinical examination of suspicious oral mucosal lesions,”
Int. J. Oral Maxillofac. Surg., 40
(2), 155
–161
(2011). http://dx.doi.org/10.1016/j.ijom.2010.10.022 IJOSE9 0901-5027 Google Scholar
H. M. Mehannaet al.,
“Treatment and follow-up of oral dysplasia—a systematic review and meta-analysis,”
Head Neck, 31
(12), 1600
–1609
(2009). http://dx.doi.org/10.1002/hed.v31:12 HEANEE 1097-0347 Google Scholar
I. Al-Dakkak,
“Oral dysplasia and risk of progression to cancer,”
Evid. Based Dent., 11
(3), 91
–92
(2010). http://dx.doi.org/10.1038/sj.ebd.6400745 1462-0049 Google Scholar
L. J. Slater,
“Comment on ‘analysis of oral lesion biopsies identified and evaluated by visual examination, chemiluminescence and toluidine blue’,”
Oral Oncol., 45
(3), 297
–298
(2009). http://dx.doi.org/10.1016/j.oraloncology.2008.04.016 EJCCER 1368-8375 Google Scholar
K. Maedaet al.,
“Colorimetric analysis of unstained lesions surrounding oral squamous cell carcinomas and oral potentially malignant disorders using iodine,”
Int. J. Oral Maxillofac. Surg., 39
(5), 486
–492
(2010). http://dx.doi.org/10.1016/j.ijom.2009.11.001 IJOSE9 0901-5027 Google Scholar
P. Brocklehurstet al.,
“Screening programmes for the early detection and prevention of oral cancer,”
Cochrane Database Syst. Rev.,
(11), CD004150
(2010). http://dx.doi.org/10.1002/14651858 Google Scholar
BiographyMassimo Petruzzi is an assistant professor at the University of Bari “Aldo Moro,” Italy. He is a postgraduate in oral pathology and medicine, and a specialist in oral surgery. He works at the Hospital Policlinico di Bari, Italy, in the section of oral pathology and medicine. His fields of interest are preneoplastic and neoplastic oral lesions (diagnosis, treatment, and prognosis) and oral autoimmune diseases (diagnosis, treatment, and prognosis). He is an active member of SIPMO (Italian Society of Oral Pathology and Medicine). Alberta Lucchese is an assistant professor at the Second University of Naples (SUN), Italy. She is a postgraduate in oral pathology and medicine. She works at Policlinico di Napoli, Italy, in the section of oral pathology and medicine. Her fields of interest are proteomic applied to oral sciences and early diagnosis of oral cancer. She is an active member of SIPMO. Gianna Maria Nardi is an assistant professor at the Università La Sapienza of Rome, Italy. She works at the Policlinico Umberto I of Rome, Italy, in the section of oral hygiene. Her field of interest is the new technologies applied to oral sciences. Dorina Lauritano is an assistant professor at the University of Milano Bicocca, Italy. She works at the Ospedale San Gerardo di Monza, Italy, in the section of oral pathology and medicine. She is a member of SIPMO. She is the scientific coordinator of the Post Graduate in Oral Medicine and Laser Therapy at University of Milano Bicocca. Gianfranco Favia is a full professor of oral pathology and medicine at the University of Bari “Aldo Moro.” He is a specialist in surgery and anatomical pathology. He is the director of the dental clinic of the Policlinico di Bari and an active member of SIPMO. His fields of interest are head and neck cancers (clinical and pathological aspects), bone osteonecrosis (BRONJ) and head and neck vascular malformation. He is an active member of SIPMO. Rosario Serpico is a full professor of oral pathology and medicine at SUN, Italy. He works at the Policlinico di Napoli, Italy, as the director of the section of oral pathology and medicine. His fields of interest are oral immunopathology, oral cancer screening, and epidemiology. He is an active member of SIPMO. |