ARTICLE
The diagnosis of melanoma is a challenge that dermatologists face every
day. The criteria for the clinical diagnosis of melanoma are mainly founded
on the geometric characteristics of the lesion under examination: the
shape and the symmetry of the lesion, the features of its margin, the
characteristics of its colors, its dimensions. The ABCD rule, developed
by Rigel et al. [1], a simple checklist of the signs of early melanoma,
is based on four macroscopical criteria: A, asymmetry in shape; B, border
irregularity; C, variation in color; D, diameter > 6 mm.
Afterwards, a new criterion, E, standing for evolution, was added to
improve sensitivity in the diagnosis: evolution is an anamnestic criterion
based on the patient's description, a term that includes elevation, enlargement
or change in the color of the lesion [2].
Melanoma can be cured definitely with surgery if discovered at an early
stage, i.e. when maximum thickness is less than 0.75 mm. According
to a number of statistics, the clinical diagnosis of melanoma has a mean
sensitivity of 67% (range 48 to 81% according both to the physician's
ability, dermatologists having better results than general practitioners,
and to the type of melanoma, the thinner the melanoma the more difficult
the diagnosis) [3, 4].
Among the new techniques developed to ameliorate the clinical diagnosis
dermatoscopy, dermoscopy or epiluminescence microscopy is one of the more
promising. Epiluminescence microscopy can be performed either with a simple
or a compound microscope. The simple microscope yields an image at a fixed
10X magnification, it is small, handy and suitable to be used in outpatient
practice for the screening of pigmented skin lesions. Already in 1994
W. Stolz proposed a diagnostic method for the dermatoscopic diagnosis
of pigmented skin lesions using a simple microscope that he called the
ABCD rule of dermatoscopy [5-7]. In 1996 we developed a simplified diagnostic
dermatoscopic method which evaluates the presence or the absence of only
seven dermatoscopic features: we called this method Seven features for
melanoma (7FFM) [8-11].
The clinical and the dermatoscopic diagnoses of pigmented skin lesions
are based on the analysis of a visual image and are subjective diagnoses.
As known, the reliability of a diagnostic test or method mainly depends
on the reproducibility of the interpretation of the results on a given
specimen. Therefore, the usefulness of a diagnostic dermatoscopic method
for the diagnosis of pigmented skin lesions is mainly dependent on the
rate of concordance, among different observers, in the interpretation
of the dermatoscopic features present in the lesion under examination.
These data should be compared to the rate of concordance, among the same
observers, in the interpretation of the clinical criteria. As the clinical
diagnosis with ABCDE criteria is the only way to diagnose melanoma by
naked eye examination alone, data about concordance with the ABCDE rule
should be considered as the "gold standard". In order to propose the use
of dermatoscopy for the diagnosis of pigmented skin tumors, the reproducibility
of the dermatoscopic features should not be inferior to the reproducibility
of the clinical criteria.
To inform dermatologists about our method and to evaluate its reproducibility
we held three Dermatoscopy Courses, from April 1999 to May 1999, which
were attended by 73 dermatologists.
At the beginning of the course the participants had a self-examination
test where they evaluated 50 clinical slides of pigmented skin tumors
with the ABCDE rule. At the end of the course the participants evaluated
the dermatoscopic slides of the same skin tumors with our method 7FFM.
This article presents an analysis of their evaluations.
Materials
From April 16, 1999 to May 29, 1999 we held three courses in dermatoscopy
to inform dermatologists about our dermatoscopic diagnostic method. A
total of 73 dermatologists attended our courses. Each course lasted about
six hours, from 9.30 a.m. to 17.30 p.m. In the morning session the participants
were asked to execute a pre-test evaluating 50 clinical slides of pigmented
skin tumors with the clinical ABCDE rule. Afterwards, we presented the
principles of dermatoscopy, the correlation between dermatoscopic features
and histopathology, the dermatoscopic features of non melanocytic and
melanocytic pigmented skin tumors.
In the afternoon session, the various diagnostic dermatoscopic methods
were shown, including the one developed by us. Finally, the participants
were asked to execute a post-test evaluating the dermatoscopic slides
of the 50 pigmented skin tumors, previously evaluated clinically, using
our diagnostic method.
The pre-test and post-test were formed of the clinical and dermatoscopic
slides of 50 pigmented skin tumors. None of the lesions was located on
the head, on the palms or on the soles.
Two of us (C. B. and E. R.) selected the fifty pigmented skin tumors.
Histologically the lesions proved to be: seborrhoeic keratoses n. 3, pigmented
basal cell carcinoma n. 2, blue nevus n. 1, angiokeratoma n. 2, Spitz
nevus n. 5, junctional nevi n. 5, compound nevi n. 9, nevi undergoing
regression n. 10, melanomas n. 12.
The maximum diameter of the lesions evaluated was ¾ 10 mm; 36 lesions
(9 melanomas) presented a maximum diameter ¾ 6 mm. The maximum thickness
of melanomas was 1 mm and the minimum thickness was 0.10 mm; two melanomas
were in situ.
During the tests each slide was projected onto a screen of 2 x 2 m with
the observers at a distance of 3-6 m.
Thirty seconds were given to the observers to evaluate the clinical
slides with the ABCDE rule, while 45 seconds were allowed to evaluate
the dermatoscopic slides with our 7FFM method.
The courses were held in the following Italian cities, on the dates
indicated with the respective number of dermatologists:
Course held in Padova, 04/16/99 attended by 37 dermatologists.
Course held in Milan, 05/07/99 attended by 17 dermatologists.
Course held in Milan, 05/28/99 attended by 19 dermatologists.
Diagnostic methods
The clinical evaluation has two steps: the first, a decision based on
one's own experience whether the lesion under examination is melanocytic
or non melanocytic. Subsequently, those identified as melanocytic are
clinically evaluated on the five ABCDE criteria. Criterion A is the geometrical
asymmetry on the two axes of the tumor. Criterion B is an irregular, ragged
or indented border. Criterion C is the presence of at least two different
colors within the lesion, except the usual symmetrical darkening of the
lesion in its center, typical of juctional nevi. Criterion D is a maximum
diameter > 6 mm. Criterion E, as evolution, is an anamnestic criterion
based on patient's description, including in this term elevation, enlargement
or change in the color of the lesion [2]. Criteria D and E were assessed
on the basis of the case records and, as they are necessary for a correct
diagnosis, their presence in the lesion under examination was reported
on the test sheet. A present clinical criterion is rated as 1 and an absent
criterion as 0. The score of each lesion is the sum of the clinical criteria
present in the lesion: therefore the clinical score may range from 0 to
5. In relation to the number of criteria, i.e. the score, whose presence
is considered necessary to classify a lesion as malignant, various diagnostic
methods can be obtained. According to data reported in literature the
most used scores in the diagnosis of melanoma are score 2 and score 3
(i.e. the presence of 2 or 3 clinical criteria is considered necessary
to diagnose melanoma) [12].
Dermatoscopically, the lesions were evaluated with the method we have
developed (7FFM).
Our method has two steps: in the first step one decides if the lesion
under examination is melanocytic in nature, following the dermatoscopic
algorithm used to distinguish melanocytic from non-melanocytic lesions
[5-10].
The algorithm is as follows: the lesions showing network or globules
are regarded as melanocytic. The presence of horny pseudocysts and comedo-like
openings, without a network or globules, suggests seborrheic keratosis.
Maple leaf-like areas at the periphery suggest basal cell carcinoma, a
homogeneous blue coloring points to blue nevus, while red-blue areas are
typical of angioma and angiokeratoma. If none of these features is present
the lesion is regarded and evaluated as melanocytic.
The second step, used to evaluate only the lesions considered as melanocytic,
is based on seven dermatoscopic features shown to be significant for malignancy
by a statistical analysis on a training set of 218 cutaneous pigmented
lesions. The features were divided into major and minor according to statistical
significance, sensitivity and specificity. The major features were pseudopods,
radial streaming, regression-erythema and gray-blue veil;
the minor features were unhomogeneity, irregular pigment network
and sharp margin.
These features are regarded as present or absent in the lesion under
examination. The regular network has thin lines, a close mesh net and
is uniform throughout the lesion [13]. The irregular network is thick,
has a wide mesh net and shows varying features in the same lesion.
We added two new dermatoscopic features we detected during our experience
to the classical ones, namely regression-erythema and unhomogeneity, The
term regression-erythema defines the disappearance of dermatoscopic features
in a given area of the lesion, while diffuse erythema, possibly with a
few angiectases, is observed.
Unhomogeneity is an asymmetrical or irregular distribution in the lesion
of at least two dermatoscopic features not necessarily predictive of malignancy.
Other authors in previous studies have proposed dermatoscopic features
similar to unhomogeneity.
Nilles et al. [14] considered an asymmetrical pigment distribution
(no relation with dermatoscopic features) with four different grade of
severity. Kenet et al. [15] described a multicompetent pattern
that consists of three or more discrete regions with different ELM appearances,
including a darkly pigmented region with broadened network.
The sharp margin is regarded as such when an area of diffuse pigmentation
with abrupt ending is present on at least one fourth of the margin of
the lesion.
The pigment network and other dermatoscopic features of this method
are not taken into consideration in determining the sharp margin.
Pseudopods are considered predictive of malignancy when they display
an irregular distribution: in fact, epithelioid and/or spindle cells nevi
usually present regularly distributed pseudopods [16].
Following such selection we attributed a score of 2 to the major features
and a score of 1 to the minor features. The lesions where the sum of the
features gave a score of >= 2 were diagnosed as being malignant, therefore
to make a diagnosis of melanoma, the presence of one major feature or
the concurrent presence of two minor features was regarded as sufficient.
Statistical analysis
Development of tests
Each author alone took the pre-test and the post test and evaluated
the clinical criteria and the dermatoscopic features as present or absent
in the 50 pigmented skin tumors selected.
The agreement % and the concordance of the three authors on the clinical
criteria and the dermatoscopic features was calculated.
To evaluate the concordance among observers, i.e. inter rater
reliability, a kappa statistic was used.
Kappa statistic is the statistic most often used to measure agreement
between two observers on a binary variable. Kappa is defined as the agreement
beyond chance (i.e. observed agreement minus chance agreement),
divided by the amount of agreement possible beyond chance (i.e.
100% agreement minus chance agreement).
Kappa statistic is calculated as follows.
The answers given from a judge 1 and the answers given from a judge
2 were displayed on a 2 x 2 table.
The observed agreement is O = (a + d)/n.
The chance (expected) agreement is C = [(a + c)(a + b) + (b + d)(c +
d)]/n2.
Kappa is k = (O - C)/(1 - C).
Kappa values may range between - 1 and 1: negative results are obtained
when the agreement occurs less often than expected by chance, K values
0-0.40 indicate poor agreement, 0.41-0.75 from fair to good agreement,
> 0.75 excellent agreement [17-18].
Each author was considered alternatively as judge 1 or judge 2, and
the mean kappa values obtained among the three authors, for each clinical
criterion and for each dermatoscopic feature, were considered as the kappa
among the authors.
On the basis of the authors' analysis the clinical criteria and the
dermatoscopic features were considered present or absent when at least
two of the three authors agreed about their presence or absence.
One of us (V.D. P.) did not participate in the selection of the tumors
and she was not aware of the histopathologic diagnosis of the 50 pigmented
skin tumors when she took the tests. The values of the clinical and dermatoscopic
sensitivity and specificity that she obtained were considered representative
of the Authors' diagnosis. The sensitivity of the diagnostic method is
the proportion of all cases of histologically proved melanomas that have
been diagnosed as melanomas. The specificity of the diagnostic method
is the proportion of all cases histologically proved not to be melanomas,
that were diagnosed as not melanomas. The formulas are:
Sensitivity = (diagnosed melanomas)/(diagnosed melanomas + not diagnosed
melanomas),
Specificity = (diagnosed non melanomas)/(diagnosed non melanomas + not
diagnosed non melanomas).
Evaluation of tests
An answer was considered as correct if the diagnosis obtained with the
clinical and dermatoscopic evaluation was concordant with the one proposed
by the three authors. The clinical and the dermatoscopic agreement % were
calculated. A kappa statistic was calculated: the correct answer was considered
as judge 1, while each dermatologist was considered as judge 2. Therefore,
a K value was calculated for each dermatologist. The mean and the 95%
confidence intervals of values obtained from participants were reported.
The clinical (score 2 and score 3) and the dermatoscopic (7FFM) sensitivity
and the specificity obtained by each participant were calculated. The
mean and the 95% confidence intervals of values obtained were reported.
The mean and the 95% confidence intervals of agreement % and of kappa
obtained from the participants for each clinical criterion and for each
dermatoscopic feature were also calculated.
The calculations were performed with Microsoft Excel 4.0.
Results
Development of tests
The three authors presented the following agreement % and kappa for
the clinical criteria: the agreement for the clinical first step, discriminating
between melanocytic and non melanocytic pigmented skin tumors, was 100%,
K = 1. The three authors were concordant in considering as melanocytic
false positive, in the clinical evaluation, two seborrhoeic keratoses.
The agreement % and kappa for the clinical criteria were: for criterion
A, agreement = 79%, K = 0.55; for criterion B, agreement = 76%, K = 0.51;
for criterion C, agreement = 75%, K = 0.50.
The agreement among the three authors about the dermatoscopic first
step discriminating between melanocytic and non melanocytic pigmented
skin tumors was = 100%, K = 1.
The dermatoscopic features of our method 7FFM presented the following
values of agreement % and kappa: unhomogeneity, agreement = 83%, K = 0.64.
Irregular pigment network, agreement = 85%, K = 0.44. Sharp margin, agreement
= 92%, K = 0.26. Irregularly distributed pseudopods, agreement = 92%,
K = 0.59. Radial streaming, agreement = 96%, K = 0.57; Regression erythema,
agreement = 99%, K = 0.77. Gray-blue veil, agreement = 91%, K = 0.59.
The sensitivity and the specificity obtained by one of us (VDP), unaware
of the diagnosis, were: for clinical score 3, sensitivity 33%, specificity
71%; for clinical score 2, sensitivity 58%, specificity 53%; for the dermatoscopic
diagnosis, sensitivity 91%, specificity 92%.
The three authors were concordant in considering one melanoma as a dermatoscopic
false negative and two nevi with regression and inflammatory infiltrate
as dermatoscopic false positive.
The clinical criteria were considered as present on the basis of the
authors' evaluation and of the case records. Criterion A was considered
present in 22 lesions, criterion B in 17 lesions, criterion C in 23 lesions,
criterion D in 16 lesions and criterion E in 20 lesions. The dermatoscopic
features discriminating between melanocytic and non melanocytic pigmented
skin tumors were present in the following number of lesions: horny pseudocysts
and comedo-like openings in 3 lesions, maple leaf-like areas and telangectasies
in 2 lesions, red blue areas in 2 lesions, homogeneous blue coloring in
1 lesion. The dermatoscopic features of our method 7FFM were represented
in the following quantity: unhomogeneity in 20 lesions, irregular pigment
network in 6 lesions, sharp margin in 3 lesions, irregularly distributed
pseudopods in 6 lesions, radial streaming in 3 lesions, regression erythema
in 1 lesion, gray-blue veil in 6 lesions.
Evaluation of tests
A total of 65 tests out of 73 were valuable for statistical analysis.
Clinically and dermatoscopically an answer was considered correct when
the score obtained gave a diagnosis concordant with the one proposed by
the authors. Therefore, for the clinical score 2 the lesions with a score
< 2 were considered non melanomas while the lesions with a score >=
2 were considered melanomas; the clinical score 3 was evaluated in the
same way. Dermatoscopically the lesions with a score < 2 were considered
non melanomas while the lesions with a score >= 2 were considered melanomas.
The test included two dermatoscopic false positives and one dermatoscopic
false negative.
The mean and the 95% confidence intervals of agreement % for the clinical
and dermatoscopic 1st steps are: clinical mean 69% (95%CI 66%-71%), dermatoscopic
mean 88% (95%CI 87%-90%).
The mean and the 95% confidence intervals of kappa for the clinical
and dermatoscopic 1st steps are: clinical kappa 0.2 (95%CI 0.16-0.23),
dermatoscopic kappa 0.54 (95%CI 0.5-0.58).
The mean and the 95% confidence intervals of agreement % and kappa for
the clinical score 2 and 3 and for the dermatoscopic method 7FFM are reported
in Table II.
The mean and the 95% confidence intervals of the sensitivity and the
specificity for the diagnosis of melanoma of clinical score 2 and 3 and
of our method 7FFM are reported in Table
III.
The mean and the 95% confidence intervals of agreement % and kappa for
the clinical criteria A, B and C and for the dermatoscopic features of
our method 7FFM are reported respectively in Tables
IV and V.
Discussion
Five diagnostic methods for the simple microscope or dermatoscope have
been reported in literature. These methods are: the ABCD rule of dermatoscopy
[5-7], the methods developed by Nilles et al. [14] and by Menzies
et al. [19-21], the seven features for melanoma (7FFM) developed
by us [8-11], and the more recent 7 Point Checklist based on pattern analysis
[22]. These diagnostic dermatoscopic methods, utilized by their own authors,
have both values of sensitivity (97.9%, 90%, 92%, 94.6% and 95% respectively)
and specificity (90.3%, 85%, 70%, 85.5% and 75% respectively), which are
not significantly different from one another.
In spite of these good values of sensitivity and specificity dermatoscopy
is not extensively used by dermatologists and is considered a technique
for experts.
In fact, as shown by Binder et al. [23], ELM criteria are often
confusing for non-experienced observers. These authors showed that ELM
pattern analysis has a low kappa value for ELM non-experts, median K =
0.36, while ELM experts presented a higher value median K = 0.56.
These authors underlined the fact that almost all studies about the
value of ELM are based on data derived from ELM experts and concluded
that a formal broad-based training in ELM should be offered to the dermatologic
community.
In a subsequent paper [24] they evaluated the effect of short formal
ELM training on the diagnostic performance of 11 previously untrained
dermatologists obtaining a significant improvement of their diagnostic
performance.
A few studies have been published about the reproducibility of dermatoscopic
features among different observers. In a study between two observers,
Stanganelli et al. [25] concluded that the best K value (median
K = 0.77) was obtained in the evaluation of the presence or the absence
of ELM features. Lower values were obtained for distribution, for width,
thickness and size, and for pigmentation, of ELM features (median K 0.47,
0.39 and 0.21 respectively). In a study involving 12 dermatologists about
reproducibility on ELM features and ELM diagnosis Stanganelli et al.
[26] found better values for ELM diagnosis (mean K 0.65) than for ELM
features (mean K range 0.14 - 0.49). Carli et al. [27] found good
K values for ELM criteria among 9 ELM experts (K range 0.607-0.827 except
pigment network K = 0.009).
All the studies reported so far evaluated the reproducibility of the
dermatoscopic features without evaluating the reproducibility of their
obvious terms of comparison, i.e. the clinical criteria. As the
clinical diagnosis is the only way widely accepted to diagnose melanoma,
a new technique should have an inter-observer variability at least equal
to the one obtained with the clinical ABCDE rule. Besides, no study about
the reproducibility of a dermatoscopic diagnostic method has been reported
in literature.
The mean kappa values obtained show a good reproducibility of our dermatoscopic
method, step 1 K = 0.54, step 2 K = 0.64 compared to the clinical method,
step 1 K = 0.2, score 2 K = 0.44, score 3 K = 0.61.
The seven dermatoscopic features of step 2 of our method presented a
good reproducibility compared with the three clinical criteria. In fact
the range of the mean kappa values obtained for the dermatoscopic features
is not lower than the values obtained for the clinical criteria: 0.62-0.25
versus 0.35-0.25. If we had not compared the reproducibility of our dermatoscopic
features to the reproducibility of the clinical criteria we could have
concluded that the reproducibility of some of our features was poor. These
low values may be due to the small diameter of the lesions, 36 lesions
presented a maximum diameter ¾ 6 mm, the smaller the lesion the hazier
the criterion or the feature. In fact lesions with a diameter from 6 to
10 mm were evaluated in a previous study and we obtained higher kappa
values for our dermatoscopic features (K range 0.636-0.34) [28]. Besides,
the short time allowed for the evaluation, 30 seconds per slide in the
clinical test and 45 seconds per slide in the dermatoscopic test, may
explain these low values.
We chose small, clinically equivocal lesions for our tests and allowed
a short time of examination in the attempt to reproduce a real clinical
situation.
The number of cases tested was a compromise between the requirements
of the study and compliance of the participants to the test.
Our data confirm that the clinical and the dermatoscopic diagnoses of
pigmented skin lesions present a better reproducibility than that of the
single clinical criteria and dermatoscopic features, which was also confirmed
by Stanganelli et al. [26].
Unhomogeneity and irregular pigment network are frequently confused
and this explains the lower mean percentages of agreement (70% and 75%)
among the features of our method. These two features may seem over-represented
in our test but this is due to the fact that all melanomas of our test
were thin melanomas (maximum thickness 1 mm.) and, as shown by Argenziano
et al. [29], unhomogeneity and irregular pigment network are often
present in thin melanomas.
Pseudopods and radial streaming are other two features that are frequently
mistaken for each other.
The high value of agreement and the low value of kappa for regression-
erythema are due to the fact that only one lesion of our test presented
this feature. For this reason, the chance of not detecting it when present,
was higher than that of detecting it when absent, and this explains the
high value of agreement. Kappa statistic gives equal importance to the
one lesion with the feature and the 49 lesions without the feature and,
as many participants did not detect regression-erythema, the kappa value
is low.
The results of the self-examination tests point to a good reproducibility
of our method among dermatologists of our community.
We were interested in a global evaluation of the reproducibility of
our method from dermatologists of our community and for this reason we
did not evaluate their level of knowledge in dermatoscopy.
As the lesions were chosen to show the dermatoscopic features, any inference
from these data about an improvement given from our method compared to
clinical diagnosis would be biased.
In fact these lesions are not representative of daily routine.
But the improvement given from our method compared to clinical diagnosis
has already been evaluated and published [11].
The mean values of sensitivity and specificity obtained from participants
to our courses have been reported to show that they are similar to those
obtained by the authors.
CONCLUSION
In conclusion the results obtained in our study indicate that our method
7FFM is easy to learn after a short training program, that it presents
a reproducibility similar to clinical diagnosis, and that the clinical
criteria and the dermatoscopic features show a similar reproducibility.
These data suggest that dermatoscopy can be extensively used for the
diagnosis of melanoma.
Acknowledgements
The Dermoscopic courses were held with grants from:
Course held in Padova, 04/16/99, Restiva Pharmaceutical Industry,
Course held in Milan, 05/07/99, Mipharm Pharmaceutical Industry,
Course held in Milan, 05/28/99, Mipharm Pharmaceutical Industry.
Article accepted on 6/3/01
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