Keywords Endoscopy Lower GI Tract - Polyps / adenomas / ... - Endoscopic resection (polypectomy,
ESD, EMRc, ...) - Quality and logistical aspects - Training
Introduction
Advanced endoscopy training programs (AETPs) have evolved over the years to offer
training in a myriad of procedures besides endoscopic retrograde cholangiopancreatography
(ERCP) and endoscopic ultrasound (EUS). Many AETPs provide additional training in
colorectal endoscopic mucosal resection (C-EMR), which is widely regarded as the preferred
treatment strategy for large non-pedunculated colorectal polyps (LNPCPs) [1 ]
[2 ]. Although several studies have shown that C-EMR outcomes are invariably dependent
on the training and experience of the endoscopist [3 ]
[4 ], markers of training competency are lacking.
With the increasing focus on competency-based medical education, there has been an
emphasis on establishing specific standardized milestones and metrics to guide the
design, implementation, assessment, and evaluation of procedure training [5 ]
[6 ]. In recent years, studies evaluating threshold to achieve competence in EUS and
ERCP by advanced endoscopy trainees (AETs) based on standardized assessment tools
have helped AETPs establish minimal standards for case volume exposure during training
[7 ]
[8 ]. There is currently no consensus on minimum standards for C-EMR training for AETs.
Although establishing a minimum procedure volume threshold does not equate to competence
for all trainees, understanding the number of procedures required to achieve competence
for the “average” AET in all aspects of C-EMR helps create a working framework for
those AETPs providing such training. The primary aim of this study was to evaluate
learning curves and define the number of procedures required by an average AET to
achieve competence in all technical and cognitive aspects of C-EMR during their fellowship.
Methods
Study setting and subjects
This was a prospective, multicenter, cohort study that included 16 AETPs in the United
States. AETs were defined as trainees who had completed a standard gastroenterology
fellowship in the United States or Canada. A total of 22 AETs from the participating
centers were enrolled in the study from July 2022 to July 2023. All AETs provided
informed consent. The study was approved by the Human and Research Protection Office
or Institutional Review Board at each participating institution, with the Center for
Interventional Endoscopy (CIE) at AdventHealth, Orlando, Florida, United States serving
as the central coordinating center. All authors had access to the study data and reviewed
and approved the final manuscript.
Baseline training in C-EMR
All AETs completed a questionnaire to assess their exposure to C-EMR before their
fellowship (Appendix 1). The survey included questions regarding their participation
in didactics and hands-on training in C-EMR through their gastroenterology fellowship,
national conferences, and courses. The AETs were provided a second survey questionnaire
following completion of their training to assess their perceptions and attitudes toward
C-EMR training from their AETP (Appendix 2)
Grading of AETs using a C-EMR standardized assessment tool (STAT)
AETs were graded on every C-EMR during their fellowship to capture the total number
of procedures performed through their academic year. C-EMR was defined as resection
of colorectal polyps in which submucosal lifting (via needle injection or water-assisted)
was performed to elevate the polyp followed by snare resection. Grading was standardized
and performed by attending endoscopists at each institution. The study protocol required
that grading be performed shortly after each procedure to reduce recall bias, halo,
and recency effect.
We used the C-EMR standardized skills assessment tool (C-EMR STAT) previously validated
in a pilot study [9 ] to grade C-EMR skills in a continuous fashion throughout training. This tool was
created by consensus opinion and review of the literature by expert endoscopists in
C-EMR with the aim of including key concepts and core skills necessary for high-quality
C-EMR as per the American Society for Gastrointestinal Endoscopy (ASGE) Practice Guidelines
[2 ]
[9 ]. The C-EMR STAT contains various cognitive and technical procedure steps (Appendix
3). The four core cognitive and technical skills of C-EMR were defined as: 1) lesion
assessment based on polyp morphology; 2) lesion assessment based on pit and vascular
pattern; 3) submucosal injection; and 4) snare resection. A four-point scoring system
was used to grade each cognitive and technical endpoint, based on the format of previously
validated endoscopic assessment tools [8 ]
[10 ]: 4 (superior), achieves task without instruction; 3 (advanced), achieves with minimal
verbal cues; 2 (intermediate), achieves with multiple verbal cues or hands-on assistance;
1 (novice), unable to complete and requires trainer to take over. Independent grading
of individual endpoints was performed. These anchors allowed for the supervising endoscopists
to attach behaviors and skills to anchors and ensure reproducibility over the course
of the study [8 ]
[9 ]
[10 ]. In addition to these grading parameters, the C-EMR STAT also included pertinent
information regarding procedure time, polyp characteristics (i.e. size, morphology,
location), procedure difficulty based on established criteria, adverse events (AEs),
and degree of AET participation (observation only, hands-on participation with assistance,
or completion of the C-EMR without hands-on assistance) (Appendix 3). Polyp complexity
was then categorized according to the SMSA (Size, Morphology, Site, Access) classification
system [11 ].
Prior to initiation of the study, the C-EMR STAT was shared with all the supervising
endoscopists, who were interventional endoscopists at their respective centers with
experience in C-EMR. The systematic evaluation process with this tool was explained,
discussed, and clarified by the principal investigator and CIE research team. The
AETs were unblinded and had access to their EMR STAT grading following each procedure.
Data collection
All participating sites entered data on a CIE AdventHealth instance of REDCap, a secure,
online database system. Each site was provided with unique logins in order to access
the centralized electronic database for entry. A combination of an application programming
interface, REDCap and SAS (version 9.4; SAS Institute, Cary, North Carolina, United
States) were used to generate a graphic representation of overall and individual endpoint
cumulative sum (CUSUM) analysis learning curves.
Study outcomes
The primary study outcome was to identify the number of procedures required by an
average AET to achieve competence in C-EMR (composite performance) and its various
cognitive and technical constituents.
Statistical analysis
The criterion standard for each endpoint analysis was based on the impression by the
supervising endoscopist. CUSUM analysis was applied to evaluate and plot learning
curves for each trainee. This statistical method permits continuous assessment of
performance against a predetermined standard and has been widely applied and validated
for learning in endoscopic procedures [8 ]
[9 ]
[10 ]
[12 ]
[13 ]. For the individual skills, we used a four-point rating system: a rating of ≥ 3
was considered a success (minimally required numeric score for competence) and a rating
< 3 was considered a failure. In addition, a 10-point overall assessment score (1–3,
below average; 4–6, intermediate; 7–9, advanced; 10, superior) was provided on each
case. For overall performance, we used a 10-point scoring system, with success defined
as above average (score of 7 to 9) or attending level (score of 10). CUSUM graphs
were constructed as previously described by Bolsin and Colson [14 ]. A successful procedure was labeled as s and failure as 1-s. In calculating the
CUSUM score, the score of s was derived from the prespecified acceptable failure rates
(p0, level of inherent error if procedure is performed correctly) and unacceptable
failure rates (p1, where p1-p0 represents the maximum acceptable level of human error).
The CUSUM scores of both individual skills and overall performance were calculated
for each AET. Learning curves were created by plotting the CUSUM scores against the
index number of EMR cases by each trainee. Decision limits were calculated based on
the type I (0.1) and type II (0.1) errors, p0 (10%) and p1 (20%). [Fig. 1 ] is a graphical representation of how CUSUM analysis is applied to evaluate learning
curves. If the CUSUM curve crosses the upper decision limit from below (unacceptable
threshold), failure rates have reached preset unacceptable rates, indicating need
for further training and the CUSUM score is reset to 0 [9 ]
[14 ]. Conversely, competence is defined when the curve crosses the lower decision limit
(competence threshold) from above. If the CUSUM curve remains between the two decision
limits, then ongoing observation is indicated.
Fig. 1 Graphical representation on CUSUM analysis applied to evaluate learning curves for
core cognitive and technical skills for C-EMR. If the CUSUM curve crosses the upper
decision limit from below (unacceptable threshold), the failure rates have reached
preset unacceptable rates, indicating need for further training. Conversely, competence
is defined when the curve crosses the lower decision limit (competence threshold)
from above. If the CUSUM curve remains between the two decision limits, then ongoing
observation is indicated. a Overall competence, based on the global score, was attained by three of 22 trainees
(14%) by the end of the study. b Pit and vascular pattern lesion assessment competence was achieved by eight of 22
trainees (36.4%). c Morphology lesion assessment competence was achieved by nine of 22 trainees (40.9%).
d Submucosal injection lifting competence was achieved by six of 22 trainees (27.3%).
e Only three of 22 trainees (13.6%) crossed the competence threshold for snare resection.
Results
Seventy-two AETPs were invited to participate. These AETPs were identified based on
their profile on the ASGE website indicating “Lower GI EMR” as a procedure offered
during training. Of these programs, 41 AETPs responded to the invitation, of whom
25 declined participation because the programs did not expect their trainees to perform
> 10 C-EMRs throughout the academic year. Twenty-two AETs from 16 centers agreed to
participate in the study.
Baseline C-EMR training experience
All AETs responded to the baseline survey questionnaire. Of the 22 AETs, 20 (91%)
reported having undergone formal training in colorectal polypectomy and 19 (86%) in
colorectal EMR. Mean numbers of polypectomies and C-EMRs reported by the AETs prior
to their advance endoscopy fellowship were 358 ± 157 and 32 ± 22, respectively.
Polyp and procedure characteristics
Colorectal polyp and C-EMR characteristics are summarized in Table 1. In aggregate,
22 AETs from 16 AETPs performed a total of 637 C-EMRs (median per AET of 32; interquartile
range 17–45) during their training. Mean lesion size was 27.8 ± 12.9 mm. The three
most common polyp morphologies encountered based on the Paris classification system
[15 ] were IIa (n = 251; 39.4%), followed by Is (n = 195; 30.6%) and IIb (n = 40; 6.3%).
Nearly half of the lesions were classified as lateral spreading granular lesions (n
= 308; 48.4%). Most of the polyps were in the colon proximal to the splenic flexure
(n = 450; 72.5%).
Mean procedure time was 27.6 ± 19.7 minutes. There were five cases (0.8%) of post-procedure
bleeding within 24 hours from C-EMR. Bleeding had ceased upon repeat colonoscopy with
none of these patients requiring endoscopic intervention. A single case of perforation
(0.16%) occurred, which was identified during C-EMR and successfully closed endoscopically.
Post-procedure imaging with enteral contrast did not show evidence of extravasation.
Nearly all cases were performed in the outpatient setting, with only six patients
(0.9%) admitted postoperatively. Hospital length of stay in these patients ranged
between 1 and 2 days and all were discharged without AEs.
AET participation and procedure complexity/difficulty
Of the 637 C-EMR procedures, the AETs did not have hands-on participation in 46 (7.2%)
of cases. The main reasons for lack of hands-on participation were time constraints
(n = 21; 3.3%) and a procedure deemed to be of high complexity/difficulty (n = 22;
3.5%) not suitable for AET participation based on supervising endoscopist discretion.
The factors associated with increased procedure complexity/difficulty are shown in
[Table 1 ].
Table 1 Polyp and procedure characteristics of colorectal EMR performed by advanced endoscopy
trainees during the study period (N = 637).
Polyp characteristics
Value
EMR, endoscopic mucosal resection; SD, standard deviation.
Polyp size, mean (SD), mm
27.8 (12.9)
Polyp location, n (%)
14 (2.2)
26 (4.1)
119 (18.7)
175 (27.5)
64 (10.0)
78 (12.2)
8 (1.3)
31 (4.9)
54 (8.5)
52 (8.2)
Paris classification, n (%)
40 (6.3)
195 (30.6)
251 (39.4)
59 (9.3)
31 (4.9)
47 (7.4)
4 (0.6)
10 (1.6)
Polyp morphology, n (%)
308 (47.1)
76 (11.9)
50 (7.8)
203 (31.9)
NICE (NBI International Colorectal Endoscopic) classification, n (%)
156 (24.5)
391 (61.4)
8 (1.3)
Kudo Pit Pattern classification, n (%)
72 (11.3)
64 (10.0)
129 (20.3)
117 (18.4)
38 (6.0)
17 (2.7)
Procedure characteristics
Type of submucosal injection, n (%)
32 (5.0)
557 (87.4)
48 (7.5)
Total EMR time, mean (SD), minutes
27.6 (19.7)
Adverse events, n (%)
5 (0.8)
1 (0.16)
Advanced endoscopy trainee involvement, n (%)
46 (7.2)
209 (32.8)
382 (60)
Reasons for lack of hands-on participation by the trainee, n (%)
21 (3.3)
22 (3.5)
6 (0.9)
Factors associated with increased procedural complexity/difficulty, n (%)
72 (11.3)
220 (34.5)
75 (11.8)
52 (8.2)
64 (10.0)
41 (6.4)
95 (14.9)
C-EMR learning curve and competence
Data from all AETs were used to generate the CUSUM learning curves to estimate the
competence threshold for the various individual cognitive and technical C-EMR endpoints.
There was substantial variability in the minimum threshold of procedures needed to
attain competence across different cognitive and technical C-EMR skills ([Table 2 ]). The CUSUM curves for the core cognitive and technical skills for C-EMR are shown
in Fig. 1. By the end of training, competence in cognitive skills was achieved by
nine (40.9%) for assessment of polyp morphology and by eight (36.4%) for assessment
of pit/vascular pattern. Only six (27.3%) and three (13.6%) of the AETs crossed the
competence threshold for submucosal injection and endoscopic resection, respectively.
Overall competence, based on the global score, was attained by three of the 22 trainees
(14%) by the end of the study ([Fig. 1 ]).
Table 2 Minimum procedure volume thresholds to attain competence across cognitive and technical
C-EMR skills.
Colorectal EMR standardized assessment tool
Minimum number of procedures needed to attain competence in each skill category, n
EMR, endoscopic mucosal resection.
Cognitive skills
Lesion assessment (polyp morphology)
19
Lesion assessment (pit and vascular pattern)
19
Identification of features suggestive of submucosal invasion
19
Recognize muscle injury following C-EMR (safety)
19
Technical skills
Adequate access and positioning of scope in relation to the lesion
19
Submucosal injection
29
Snare resection
23
Adjunct mechanical resection techniques (example: avulsion with forceps)
36
Adjunct ablative techniques (example: snare tip soft coagulation of mucosal defect
margins)
25
Management of bleeding
39
Elective closure
22
Global scale
19
AET self-assessment on completion of C-EMR training
Nineteen AETs completed the self-assessment questionnaire at the end of their training
([Table 3 ]). From a cognitive skills standpoint, all AETs strongly agreed or tended to agree
with the statement that they were comfortable recognizing the indication and contraindications
for C-EMR and classifying polyps based on their morphology; although three trainees
(14%) disagreed with the statement that they could routinely classify a lesion based
on its vascular and pit pattern. Nearly all AETs agreed (18/19; 94.7%) about feeling
comfortable performing all technical C-EMR skills and independently performing C-EMR
at the end of their training.
Table 3 Survey questionnaire to AETs about their C-EMR training after completion of fellowship.
Statement
Response
Strongly Agree
Tend to Agree
Neutral
Tend to Disagree
Strongly Disagree
C-EMR, colorectal endoscopic mucosal resection.
Comfortable with independently performing C-EMR at the endo of training
16
2
1
--
--
I am comfortable at recognizing the indications and contraindications for C-EMR
17
2
--
--
--
I can routinely classify a lesion based on its vascular and pit pattern
10
5
1
3
--
I am comfortable achieving adequate positioning for C-EMR
13
6
--
--
--
I am comfortable obtaining a submucosal lift for C-EMR
16
2
1
--
--
I am comfortable with underwater C-EMR
9
7
--
2
1
I can routinely obtain en-bloc resection for lesions < 20 mm
15
4
--
--
--
I feel comfortable using adjunct resection and ablative techniques for the removal
of residual polyp
13
4
--
--
--
I am comfortable managing bleeding during C-EMR
14
4
1
--
--
I am comfortable managing perforation during C-EMR
10
7
2
--
--
Discussion
C-EMR is the most widely accepted first-line treatment of large non-malignant colorectal
polyps in clinical practice. Although most AETPs offer training in C-EMR according
to the information provided to the ASGE advanced endoscopy fellowship match website,
there is a lack of formal data on C-EMR training and there is no fixed mandatory curriculum
and no set minimum standards. In this study of 22 AETs from 16 AETPs, we identified
the minimum threshold for an average AET to achieve overall competence in C-EMR as
approximately 19 cases, with significant variability in the number of C-EMRs performed
by AETs among the different participating AETPs. Overall, these data may provide a
framework for AETPs in determining minimum standards for case volume exposure in C-EMR
during training.
The main training focus of most AETPs still revolves around ERCP and EUS. However,
in recent years, many AETPs have expanded their curricula to include training in procedures
across various subspecialties of interventional endoscopy, such as submucosal endoscopy,
endoscopic resection, and bariatric endoscopy [16 ]. With this expanding portfolio, it is important for AETPs to understand how many
C-EMR procedures the average AET will require during their fixed training period to
achieve competency. Understanding this threshold volume has important implications.
For instance, on the ASGE website, 72 AETPs indicated that “lower GI EMR” is a procedure
that is being offered during training. However, it remains unclear how many of these
programs actually expose and train their AETs in a substantial number of C-EMRs. Indeed,
more than half of the programs indicating that they train their AETs in C-EMRs on
the ASGE website ended up declining participation (25/41; 61%) in this study citing
their concern that most of their trainees do not perform > 10 C-EMRs during the fixed
training period. Hence, identifying the minimum threshold required to achieve competency
in C-EMR by the average AET provides a benchmark for programs to determine whether
this will be a procedure for which they can realistically offer training. We hope
that this knowledge will be useful to AETPs committed to training AETs in C-EMR and
that it will inform prospective AETs interested in learning C-EMR so that they can
identify programs that offer sufficient volume in this procedure to attain competency.
Overall, our study suggests that comprehensive C-EMR training within the constraints
of a standard 12-month AETP can be challenging. There was significant variability
in the number of C-EMR cases by AETs (range 5 to 120), with 11 of the AETs (50%) performing
< 19 procedures during training. None of the AETs with less than 19 C-EMR procedures
completed were able to attain competence in any of the cognitive and technical skills
components or on their global assessment. Notably, the number of C-EMR procedures
required to cross the competency threshold for management of procedure-related AEs
(i.e. bleeding, perforation) was even higher. Patient safety should be a key factor
when determining competency. Hence, we strongly believe that formal assessment of
a trainee’s ability to manage procedure-related complications should be an important
component when establishing their readiness for independent practice. Although it
is clear that trainees acquire endoscopic skills at variable rates and volume thresholds
do not necessarily ensure competence, our findings further emphasize the value of
establishing minimum standards with regard to procedure volume. It should be emphasized
that irrespective of the number of C-EMRs the trainees performed during the study
period, all AETs had already completed a general gastroenterology fellowship, which
included exposure and/or hands-on training on C-EMR. This in turn raises the important
question about whether further emphasis and structured assessment of C-EMR training
should be initiated at earlier stages during general gastroenterology fellowship.
Our study demonstrated a discrepancy between AET self-assessment and their performance
based on their evaluations. These findings are consistent with those from our pilot
study [9 ]. At completion of their training, nearly all AETs indicated feeling comfortable
with cognitive and technical aspects of C-EMR; nearly all also reported feeling comfortable
with performing C-EMR in independent practice. Yet, data based on CUSUM analysis demonstrated
that most trainees did not meet competence thresholds. Our results have important
implications. For one, they suggest that trainee self-assessment should not replace
formal assessment by trainers and underscore the importance of using standardized
procedure-specific structured assessment tools. Despite being evaluated by trainers
on each C-EMR using the C-EMR STAT as part of this study, it remains unclear whether
the AETs received regular input on their performance, which may have accounted for
the discrepancy. Providing structured feedback to trainees at regular intervals may
potentially unmask unrecognized areas for improvement and permit corrective measures
throughout their fellowship [17 ]
[18 ]. Whether periodic feedback using C-EMR STAT scores may translate into improved training
outcomes based on objective measures needs to be addressed in future studies.
This study is not without limitations. First, this study did not include all AETPs
in the United States, thereby limiting generalizability of our results. Second, there
is a potential for selection bias among AETs and their programs who opted to participate
in the study. We recognize that the subjective assessment of the trainer was regarded
as the criterion standard. This is a common limitation of any study evaluating learning
curves and competency. Similarly, interobserver and intraobserver variability among
trainers, differences in experience and training styles, and variations in C-EMR techniques
were also not accounted for in this study. We attempted to address these issues by
using a previously established standardized assessment tool with well-defined anchors
for all specific endpoints that was reviewed by all trainers prior to study enrollment.
However, variance across different trainers and institutions may have impacted our
results. Lastly, the relatively low and highly variable number of C-EMRs performed
by AETs limited meaningful individual learning curve analyses and competence assessment
among those with very few procedures and when evaluating certain C-EMR-related endpoints.
Nonetheless, rather than a limitation of study design, the low volume numbers may
simply be a reflection of the current status of C-EMR training among AETPs.
Conclusions
In conclusion, this prospective multicenter study provided data on minimum thresholds
for an average AET to achieve competence in various cognitive and technical aspects
of C-EMR. The relatively low number of C-EMRs performed by many AETs may be insufficient
to achieve competence, despite their prior exposure to this procedure during general
gastroenterology fellowship and reporting feeling comfortable performing C-EMR independently
in clinical practice. Our data provide a framework for AETPs to adjust their educational
curricula in response to the increasing number and complexity of advanced endoscopic
techniques to which trainees are exposed during their training.
Bibliographical Record Dennis Yang, Ernesto Robalino Gonzaga, Muhammad Khalid Hasan, Arvind Julius Trindade,
Mark Radlinski, Rebecca A Burbridge, Jeffrey Mosko, Pushpak Taunk, Salmaan Jawaid,
Mohamed O. Othman, David L Diehl, Harshit S. Khara, Quin Liu, Srinivas Gaddam, Harry
Aslanian, Shailendra S Chauhan, Amrita Sethi, John Poneros, Jason Samarasena, Ali
M Ahmed, Uzma D. Siddiqui, Dennis Chen, Moamen Gabr, Andrew Y. Wang. Minimum standards
for training in colorectal endoscopic mucosal resection among advanced endoscopy trainees.
Endosc Int Open 2025; 13: a26839906. DOI: 10.1055/a-2683-9906