Introduction
Eosinophilic esophagitis (EoE) is an inflammatory condition of the esophagus defined
clinically by symptoms of esophageal dysfunction including dysphagia, reflux and food
impaction [1]
[2]
[3] and histologically by an eosinophil predominant inflammatory response [4].
The first described case of the disorder was in pediatric literature by Landres et
al. in 1978 [5]. It was not until 1993 that cases in adult literature were described. Since then,
however, likely due to both increased recognition and increasing incidence [6], the number of cases has skyrocketed. Dellon et al. conducted a large study of over
35 million individuals in the United States with estimates of overall adult prevalence
of EoE at 56.7/100 000 [3]. Other smaller studies have reported adult prevalence of anywhere from 23/100 000
in a Swiss study to 400/100 000 in a smaller study from Sweden [7]
[8]. It is now recognized as a relatively common clinically relevant and potentially
manageable disorder.
While consensus guidelines exist on the histological diagnosis of EoE after biopsy,
one of the major barriers remains recognition and subsequent biopsy sampling during
endoscopy. Eosinophilic infiltrate is known to be patchy, which can increase sampling
error [9]. Typical endoscopic findings have been reported with varying prevalence, including
esophageal rings or trachealization, linear furrowing, white exudates, and edema [4]
[10]
[11]. Recent studies have suggested that targeted sampling within these findings may
increase yield over conventional random biopsy sampling [12]. Endoscopic findings may be very subtle, however, and biopsies may never be taken.
Two recent studies have suggested increasing diagnostic yield as well as recognition
of novel features of EoE using optical enhancement endoscopy and biopsy such as Narrow
Band Imaging (NBI) [13]
[14]. Therefore, in our routine standard practice, we have adopted use of HD and virtual
chromoendoscopy to better detect, characterize and enhance endoscopic findings of
EoE and take additional biopsies from the furrows. We did not analyze biopsy sites.
We aimed to determine the utility of high-definition (HD) iSCAN virtual chromoendoscopy
in recognition and diagnosis of EoE.
Patients and methods
Study design
This was a retrospective study performed at a single large tertiary care center, conducted
over a period of 47 months from August 2011 to July 2015. The study was approved by
the Calgary Conjoint Health Services Research Ethics Board of the University of Calgary
Patients
All patients presenting with either dysphagia or food bolus impaction under the care
of a single gastroenterologist (M. I.) were included in the analysis. Based on these
criteria, 189 consecutive patients (53.4 % male, median age 55, age range 18 – 85
years) were assessed by HD-iSCAN endoscopy (Pentax EC-3490Fi; Pentax, Tokyo, Japan)
with biopsies taken in the distal, mid, and proximal esophagus as well as from furrows
or other endoscopic findings where visible. Esophageal endoscopic findings were photographed
and catalogued on an electronic patient record (Endopro, Pentax, Japan) along with
operator opinion on the suspicion or likelihood of EoE. Endoscopic reports and medical
records were reviewed in order to obtain demographics and clinical details of the
patients enrolled.
Endoscopic assessment
All endoscopies were performed by a single endoscopist (M. I.) using HD-iSCAN virtual
chromoendoscopy (Pentax EC-3490Fi; Pentax, Tokyo, Japan). iSCAN is a novel endoscopic
technique developed by Pentax, Japan. It is a post-processing imaging technology that
analyzes endoscopic images in real time and consists of 3 types of algorithms: surface
enhancement (SE), contrast enhancement (CE) and tone enhancement (TE). Each of the
algorithms can be selected by pressing a pre-assigned button on the hand piece of
the endoscope [15]. Three iSCAN sets were used in sequences from set 1 to set 3 and pictures were taken
for each single iSCAN set. All patients had the same technique applied systematically.
Retrospective assessment (without knowledge of histology) of the iSCAN endoscopic
pictures was performed by 2 endoscopists (MI and SG).
Presence of endoscopic key features described to define EoE [16] was evaluated in all patients including furrows, edema, rings or tracheal appearance,
edema, white exudates and stricture or narrowing. No formal endoscopic scoring was
done as this was a retrospective study. We took at least 2 biopsies in the distal
and 2 biopsies in the mid and proximal esophagus and additional biopsies from the
endoscopic features. Because we did not have a reference group we cannot draw conclusions
about sampling bias and any change from targeting biopsies.
Histological assessment
Diagnosis of EoE requires quantification of esophageal eosinophilia. According to
the consensus guidelines [4]
[17], a diagnosis of EoE can be established if esophageal biopsies demonstrate ≥ 15 eosinophils
per high-power field (HFP) after an 8-week trial of a proton-pump inhibitor (PPI)
and if other causes of esophageal eosinophilia have been excluded. This was reported
by the pathologist (XG) but not specifically for this retrospective study. The newly
diagnosed patients, however, had clinical evaluation and also endoscopic evaluation
after PPI, but our cohort only included their first endoscopy. This is a limitation.
During endoscopy, esophageal biopsies from the proximal, mid and distal esophagus
were obtained to maximize diagnostic sensitivity [18]
[19]. This was done systematically in all patients. Tissue samples were read and interpreted
by a single pathologist who was blinded to the endoscopic findings (X. G.).
Statistical analysis
The parametric data are expressed as the mean and SD and categorical data are presented
as percentages. Overall sensitivity, specificity, positive predictive value (PPV)
and negative predictive value (NPV) of endoscopic features as compared to positive
histology was calculated. Histologic diagnosis was the reference gold standard. PPV
and NPV of the combination of different endoscopic features were also calculated ([Table 1]). The 2 endoscopists analyzed at least 4 high-quality images and anonymized HD-iSCAN
images. Cohen’s Kappa statistics were calculated to measure interobserver agreement,
with 0.75 indicating good agreement, 0.4 – 0.75 indicating fair to good agreement,
and < 0.4 indicating poor agreement. Statistical analyses were carried out using the
SPSS statistical software package v 19.1 (IBM Corp., Armonk, New York, USA).
Table 1
Sensitivity, specificity, PPV and NPV of HD-iSCAN and EoE endoscopic findings.
|
HD-iSCAN
|
Sensitivity (95 % CI)
|
Specificity (95 %CI)
|
PPV (95 %CI)
|
NPV (95 %CI)
|
|
Linear furrows
|
91.1 % (78.7 – 97.5)
|
93.75 (88.4 – 97.1)
|
82 % (68.5 – 97.1)
|
97.1 % (92.8 %-99.2)
|
|
Edema
|
77.7 % (62.9 – 88.8)
|
100 % (97.4 – 100)
|
100 % (90 – 100)
|
93.5 % (88.3 – 96.8)
|
|
Ring or tracheal appearance
|
73.3 % (58.06 – 85.4)
|
93.06 % (87.6 – 96.6)
|
76.7 % (61.3 – 88.2)
|
91.7 % (86 – 95.6)
|
|
White exudate
|
26.6 % (14.6 – 41.9)
|
97.9 % 94.03 – 99.5)
|
80 % (51.9 – 95.6)
|
81 % (74.4 – 86.5)
|
|
Narrowing stricture
|
4.4 % (0.54 – 15.1)
|
100 % (97.4 – 100)
|
100 % (15.8 – 100)
|
77 % (70.3 – 82.8 %)
|
PPV, positive predictive value; NPV, negative predictive value; EoE, eosinophilic
esophagitis
Results
Demographic characteristics of patients
One hundred and eighty-nine patients (53.4 % male, median age 55, age range 18 – 85
years) presented with dysphagia during the study period (August 2011 – July 2015).
The cause of dysphagia of these patients is detailed in [Table 2]. All patients had endoscopy and biopsies, and chest computed tomography scan and
esophageal motility where clinically indicated. Forty-five patients (23.8 %, male = 29,
median age 40 y, age range 19 – 74 years) had a histological diagnosis of EoE when
eosinophil count per HPF was > 15. Most of these patients were newly diagnosed with
EoE (33 patients, 73.3 %), whereas 12 patients (26.7 %) had a previous diagnosis of
EoE. The patients had failed a proton pump inhibitor trial symptomatically. Twenty-four
(53.3 %) patients presented with intermittent dysphagia, 6 (13.3 %) had progressive
dysphagia and 15 (33.3 %) presented with acute food bolus obstruction. Ten (30.3 %)
patients with a new diagnosis of EoE presented with a food bolus impaction. Demographic
characteristics of the patients with EoE are summarized in [Table 3].
Table 2
Cause of dysphagia in our patient cohort.
|
Cause of dysphagia
|
Patients with dysphagia (n = 189) (%)
|
|
GERD
|
64 (33.8)
|
|
Rings and webs
|
18 (9.5)
|
|
Eosinophilic esophagitis
|
45 (23.8)
|
|
Unknown/functional
|
34 (18)
|
|
Motility disorders
|
9 (4.8)
|
|
Peptic stricture
|
5 (2.6)
|
|
Extrinsic compression
|
5 (2.6)
|
|
Malignancy
|
4 (2.1)
|
|
Benign tumour
|
2 (1)
|
|
Radiation esophagitis
|
1 (0.5)
|
|
Others
|
|
|
|
1 (0.5)
|
|
|
1 (0.5)
|
GERD, gastroephageal reflux disease; GvHD, graft versus host disease
Table 3
Demographic characteristics of patients diagnosed with eosinophilic esophagitis.
|
Characteristics
|
EoE patients
(n = 45)
|
|
Male gender, n (%)
|
29 (64.4)
|
|
Age, y
|
|
|
40
|
|
|
39.76 ±14.44
|
|
|
19 – 74
|
|
Symptoms, n (%)
|
|
|
6 (13.3)
|
|
|
24 (53.3)
|
|
|
15 (33.3)
|
|
New diagnosis of EoE, n (%)
|
33 (73.3 %)
|
|
Previous diagnosis of EoE, n (%)
|
12 (26.7 %)
|
|
|
3
|
|
|
|
– PPI
|
5 (41.7)
|
|
– Oral steroid
|
0
|
|
– PPI + oral steroid
|
2 (16.7)
|
|
– None
|
5 (41.7)
|
|
Allergy history, n (%)
|
3 (6.7)
|
|
Asthma history, n(%)
|
16 (35.5)
|
EoE, eosinophilic esophagitis
Endoscopic assessment by iSCAN
By HD-iSCAN endoscopy 58 patients were suspected to have EoE, of whom 45 patients
had a confirmed diagnosis by histology. Two patients had normal endoscopy but histology
was diagnostic of EoE.
HD-iSCAN endoscopic characteristic features of EoE were linear furrows (91 %), edema
(77.8 %), rings or tracheal appearance (73.3 %), whitish exudates (26.6 %) and narrowing
or stricture (5 %).
The sensitivity and specificity of HD-iSCAN endoscopy were 97.62 % (95 % CI 87.43 – 99.94 %)
and 89.58 % (95 % CI 83.40 – 94.05 %), respectively. The positive predictive value
(PPV) of HD-iSCAN endoscopy was 73 % (95 % CI 59,70 – 84.17 %) and the negative predictive
value (NPV) was 99.23 (95 % CI 95.79 – 99.98 %). Accuracy of HD-iSCAN endoscopy was
92.47 % (95 % CI 87.67 – 95.56 %). The interobserver agreement determined by Kappa
statistics for diagnosis of EoE was 0.81 (95 % CI 0.70 – 0.87).
HD-iSCAN endoscopic features and histology
Patients were diagnosed with EoE when median eosinophil count per HPF was > 15. The
intraepithelial eosinophil count had a mean of 62 with a standard deviation of ± 47.62.
We did not analyze by location of biopsies.
Presence of linear furrows on HD-iSCAN endoscopy had a sensitivity of 91.11 % (95 %
CI 78.78 – 97.52 %), specificity of 93.75 % (95 % CI 88.47 – 97.10 %), PPV 82 % (95 %
CI 68.56 – 97.12 %), and NPV 97.12 % (95 % CI 92.8 – 99.21 %). Presence of edema on
HD-iSCAN endoscopy had a sensitivity of 77.78 % (95 % CI 62.91 – 88.8 %), specificity
100 % (95 % CI 97.47 – 100 %), PPV 100 % (95 % CI 90 – 100 %) and NPV 93.51 % (95 %
CI 88.38 – 96.84 %). Presence of rings or tracheal appearance had a sensitivity of
73.33 % (95 % CI 58.06 – 85.40 %), specificity 93.06 % (95 % CI 87.6 – 96.62 %), PPV
76.74 % (95 % CI 61.37 – 88.24 %) and NPV 91.78 % (95 % 86.08 – 95.68 %). White exudates
had a sensitivity of 26.67 % (95 % CI 14.60 – 41.94 %), specificity of 97.92 % (95 %
CI 94.03 – 99.57 %), PPV 80 % (95 % CI 51.91 – 95.67 %) and NPV 81.03 % (95 % CI 74.41 – 86.57 %).
Presence of narrowing or stricture had a sensitivity of 4.44 % (95 % CI 0.54 – 15.15 %),
specificity 100 % (95 % CI 97.47 – 100 %), PPV 100 % (95 % CI 15.81 – 100 %), and
NPV 77.01 % (95 % CI 70.30 – 82.83 %).
Only 1 patient (2.22 %) with confirmed EoE by histology had the 5 endoscopic features
(furrows, edema, rings or tracheal appearance, whitish exudates and narrowing or stricture),
with a PPV of 100 % (95 % CI 2.5 %-100 %) and NPV 76.6 % (95 % CI 69.88 – 82.45 %).
Ten patients (22.2 %) had linear furrows, edema, rings or tracheal appearance and
whitish exudates on HD-iSCAN endoscopy, with a PPV 100 % (95 % CI 69.15 – 100 %) and
NPV 80.45 % (95 % CI 73.87 – 85.99 %). Thirteen patients (29 %) presented with linear
furrows, edema and rings or tracheal appearance on HD-iSCAN endoscopy, with a PPV
100 % (95 % CI 75.29 – 100 %) and NPV 81.82 % (95 % CI 75.31 – 87.22 %). Six patients
(13.3 %) had furrows and edema and 6 patients (13.3 %) had furrows and rings or tracheal
appearance on HD iSCAN endoscopy, with a PPV 100 % (95 % CI 54.07 – 100 %) and NPV
78.69 % (95 % CI 72.04 – 84.38 %) respectively ([Table 1])
Discussion
In this retrospective observational study, we report our experience with using HD-iSCAN
endoscopy in diagnosis of EoE, confirmed by histology. We report on individual endoscopy
features (17) as well as overall endoscopic diagnosis of EoE using HD-iSCAN endoscopy.
Linear furrows were the most common, while whitish exudates and strictures were least
common.
Recently, many studies and meta-analysis have been done to study these endoscopic
features with
white light endoscopy and their reliability to aid the endoscopist in making EoE diagnosis.
Unfortunately, the results have not shown uniformly good specificity and sensitivity
of endoscopy alone without histology to predict diagnosis of EoE[10] ([Table 3a] and [Table 3b]).
Table 3a
Sensitivity and Specificity of endoscopic findings on WLE.
|
Study
|
Year
|
N (EoE)
|
Endoscopic findings
|
|
|
|
Rings
|
Stricture
|
Linear furrows
|
White plaques
|
|
|
|
Sens %
|
Spec %
|
Sens %
|
Spec %
|
Sens %
|
Spec %
|
Sens %
|
Spec %
|
|
Ricker et al. [20]
|
2011
|
28
|
46
|
97
|
0
|
97
|
43
|
96
|
NA
|
NA
|
|
Achem et al. [21]
|
2011
|
24
|
54
|
78
|
4
|
100
|
21
|
99
|
25
|
88
|
|
Veerappan et al. [22]
|
2009
|
25
|
52
|
94
|
28
|
91
|
48
|
95
|
20
|
98
|
|
Dellon et al. [23]
|
2009
|
73
|
58
|
94
|
29
|
89
|
23
|
99
|
4
|
97
|
|
Prasad et al. [25]
|
2007
|
33
|
30
|
92
|
12
|
98
|
21
|
97
|
NA
|
NA
|
Sens, sensitivity; Spec,
specificity
Table 3b
Positive and negative predictive values of endoscopic findings on WLE.
|
Study
|
Year
|
N (EoE)
|
Endoscopic findings
|
|
|
|
Rings
|
Stricture
|
Linear furrows
|
White plaques
|
|
|
|
PPV
|
NPV
|
PPV
|
NPV
|
PPV
|
NPV
|
PPV
|
NPV
|
|
Ricker et al. [20]
|
2011
|
28
|
81
|
86
|
0
|
76
|
75
|
85
|
NA
|
NA
|
|
Achem et al. [21]
|
2011
|
24
|
29
|
91
|
100
|
86
|
71
|
88
|
25
|
88
|
|
Veerappan et al. [22]
|
2009
|
25
|
38
|
97
|
18
|
95
|
39
|
96
|
36
|
95
|
|
Dellon et al. [23]
|
2009
|
73
|
86
|
79
|
60
|
68
|
94
|
69
|
43
|
63
|
|
Prasad et al. [25]
|
2007
|
33
|
40
|
88
|
50
|
86
|
54
|
88
|
NA
|
NA
|
WLE, white light endoscopy; PPV, positive predictive value; NPV, negative predictive
value
However, we found observationally that using HD-iSCAN electronic chromoendoscopy with
high-definition endoscopy appeared to predict well a histological diagnosis of EoE
([Fig. 1], [Fig. 2], and [Fig. 3]). In support, in our study we have showed very good sensitivity (97.62 % [95 % CI
87.43 – 99.94 %]), specificity (89.58 % [95 % CI 83.40 – 94.05 %]), PPV (73 % [95 %
CI 59,70 – 84.17 %]), NPV (99.23 [95 % CI 95.79 – 99.98 %]) and accuracy (92.47 %
[95 % CI 87.67 – 95.56 %]) of HD-iSCAN in diagnosis EoE. We did not directly compare
it with white light endoscopy. However, all patients were assessed with iSCAN systematically
using the 3 sets of electronic filters. We acknowledge that our patient population
may be enriched by EoE patients and hence our PPV and NPV may be exaggerated.
Fig. 1 Endoscopic appearance of EoE. a White light endoscopy showed linear furrows with tracheal appearance. b, c, d High-definition virtual electronic chromoendoscopy in setting 2 – 3 enhanced and
better characterized the vertical furrows to aid the endoscopist to target biopsy.
e, f H&E showed marked eosinophil degranulation and intercellular space dilatation (edema)
and elongation of the papillae.
Fig. 2 iSCAN appearance of EoE. a, b, c High-definition virtual chromoendosopcy in the setting of iSCAN 1, 2 and 3 showed
rings, linear furrows and fibrotic changes to the esophagus. d H&E revealed subepithelial fibrosis/hyalinization.
Fig. 3 i SCAN a, b, c, d, e white light endoscopy with high-definition virtual chromoendoscopy in the different
iSCAN settings 1, 2 and 3 characterized in detail whitish exudates and microabscess
and linear furrows. f H&E revealed a large number of intraepithelial eosinophilis as well as basal cell
hyperplasia, spongiosis, and microabscesses.
The hypothesis in the study was that HD-iSCAN would highlight the endoscopic findings
of EoE, and increase the diagnostic yield of EoE. To our knowledge, there are no published
data on using HD-iSCAN in EoE. In this study, we did not have a control group of standard
white light endoscopy with which to compare. Reported sensitivities, specificities,
PPV and NVP of endoscopic findings on white light endoscopy in prior studies range
widely [10]
[20]
[21]
[22]
[23]
[24]
[25] ([Table 3a] and [Table 3b]), depending on prevalence of EoE in the population studied.
Some published studies have used novel endoscopic techniques such as chromoendoscopy
with indigo carmine dye spraying and narrow band Imaging (NBI) to enhance mucosal
and vascular pattern and to increase detection and characterization of EoE endoscopic
features. Peery et al. [14] have showed that NBI did not improve endoscopic recognition in adults and the intraobserver
agreement was highly variable.
In contrast, in a study of erosive esophagitis, Lee and colleagues [26] found that NBI improved interobserver agreement, from an overall kappa of 0.45 to
0.62. Lucendo et al [27] have used chromoendoscopy with Indigo carmine, which increased recognition and characterization
of rings and furrows.Tanaka et al. [28] tried to identify additional endoscopic features such as capillary structure of
the EoE patients using NBI Magnifying endoscopy. We also confirmed that edema, linear
furrows and tracheal appearance were the most common endoscopic features by HD-iSCAN
[29]
[30].
The limited consensus on how best to characterize endoscopic findings in EoE and lack
of standardized terminology and grading criteria and wide variability of interobserver
agreement brought Hirano et al to develop and validate the eosinophilic esophagitis
endoscopic references score (EREFS) [16]. This classification resulted in good interobserver agreement with K of 0.46, 043,054 and 0.52 for exudates, rings, edema, furrows and stricture, respectively.
Recently, van Rhijn et al [31] have further validated the EREFS score and tried to introduce it into clinical practice
by every gastroenterologist. The interobserver K value of agreement of each endoscopic finding improved 0.70, 0.63, 0.49 and 0.54
for rings, exudates, furrows and stricture, respectively. However, there was still
a wide range of intraobserver variability. We did not use the Hirano EREFS score as
this is not validated for HD-iSCAN. As this is a retrospective study, no formal scoring
was performed. We did not compare HD-iSCAN with white light endoscopy Recently, Dellon
et al. have validated a set of clinical and endoscopic features to predict EoE with
a high degree of accuracy and allow identification of those at very low risk of disease,
reducing low-yield histological examinations for EoE [32].
The strength of agreement in our study between the 2 experts in iSCAN (M. I. and S. G.)
for diagnosis of EoE was considered to be very good. The readers have performed more
than 1,000 EGD procedures.
Novel advanced techniques have been increasingly adopted in endoscopic units and are
slowly embraced by gastroenterologists in daily clinical practice. These techniques
have been extensively investigated in the gastrointestinal tract, especially in the
neoplasia field, and clearly have demonstrated better detection and characterization
of lesions. These techniques might be aiding endoscopists in identifying an accurate
set of endoscopic features and targeting smart biopsies, especially in mild and patchy
EoE, which would be difficult to identify.
New and upcoming enhancements to endoscopic technique may increase accuracy of recognition
of the entire spectrum of endoscopic findings in the EoE, and in the future, may reduce
the wide interobserver and intraobserver variability between gastroenterologists.
Our exploratory study has some limitations. First, it was retrospective and performed
at a single center. In this retrospective real-life study, it is inevitable that clinical
presentation raised suspicion of EoE. We did not compare HD-iSCAN with white light
endoscopy in this study as HD-iSCAN was used in all patients. Prevalence of EoE in
patients presenting with dysphagia and/or food bolus impaction is likely to be high,
resulting in overestimation of PPV or NPV in this report. Newly diagnosed patients
had further evaluation after approximately 8 weeks of PPI therapy with endoscopic
evaluation. However, only the first endoscopy was included in this study. Though retrospective,
the same electronic chromoendoscopy technique was applied to all patients consecutively.
In addition, the strength of the study is the fact that it is the first published
study to assess EoE by using HD-iSCAN virtual chromoendoscopy. Second, the iSCAN procedures
were performed by a single expert in novel enhanced endoscopic techniques. Although
M. I. had performed the procedures, the second reader expert in iSCAN (S. G.) was
blinded to ensure robustness of agreement. Another limitation was the fact that the
second reader assessed the endoscopic findings using still images rather than videos
sequences to reproduce live endoscopy. We plan to explore interobserver variability
using HD-iSCAN video clips in a multicenter study with experts of HD-iSCAN and trainees
in the near future.
Conclusion
In conclusion, high-definition iSCAN virtual chromoendoscopy promises to have potential
value to improve the diagnostic accuracy in patients with EoE. However, additional
questions still need to be answered in the future and studies are needed. Whether
HD white light endoscopy alone maybe sufficient needs further clarification by prospective
trials. These novel endoscopic techniques may help to identify a new pathognomonic
esophageal vascular and mucosal pattern that can be used to identify EoE and differentiate
it from other esophageal disorders, including reflux esophagitis. It would be very
interesting to investigate this technique to assess response to therapy, especially
with new emerging drugs, and to predict outcomes such as fibrosis and stricture. These
novel endoscopic techniques are now available as standard on the new generation of
endoscopes.