Open Access
CC BY 4.0 · Endosc Int Open 2025; 13: a27606529
DOI: 10.1055/a-2760-6529
Original article

Comparison of adenoma detection rate using the novel 5-LED vs xenon-light endoscopic system: Propensity score matching analysis

Authors

  • Tatsuhiro Ito

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Satoshi Osawa

    2   Department of Advanced Medical Science for Regional Collaboration, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
    3   Department of Endoscopic and Photodynamic Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Takanori Yamada

    3   Department of Endoscopic and Photodynamic Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Keisuke Inagaki

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Tomohiro Takebe

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Satoru Takahashi

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Shunya Onoue

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Kiichi Sugiura

    4   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
  • Natsuki Ishida

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Tomoharu Matsuura

    5   Department of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Mihoko Yamade

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Moriya Iwaizumi

    5   Department of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Yasushi Hamaya

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
  • Ken Sugimoto

    1   First Department of Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan (Ringgold ID: RIN12793)
 

Abstract

Background and study aims

Olympus’s new endoscopic system, EVIS X1, features five-LED illumination and a novel complementary metal-oxide-semiconductor (CMOS) image sensor distinct from conventional charge-coupled devices (CCDs), potentially improving colorectal adenoma detection rates (ADRs). This study compared ADR and related indicators between the EVIS X1 system and the conventional EVIS LUCERA ELITE, a xenon-light system.

Patients and methods

Of 4,915 colonoscopies performed between September 2020 and April 2023, 814 EVIS X1 and 953 LUCERA cases met inclusion criteria. After propensity score matching to balance baseline characteristics, 660 patients per group were analyzed. Outcomes included ADR, polyp detection rate (PDR), adenomas per colonoscopy (APC), and polyps per colonoscopy (PPC). Subgroup analysis assessed the impact of CMOS-equipped scopes within the X1 group.

Results

ADR was slightly higher in the X1 group (36.1%) than the LUCERA group (32.1%), although not statistically significant (P = 0.147). APC (0.77 vs. 0.61, P = 0.034) and PPC (0.95 vs. 0.75, P = 0.023) were significantly higher with X1. Within the X1 group, scopes with CMOS sensors achieved a significantly higher ADR (41.9%) compared with those without. Mean size of polyps detected was smaller with CMOS than with CCD scopes. Multivariate analysis identified age > 60 years, male sex, positive fecal occult blood test, and use of the X1 system with CMOS scopes as independent predictors of higher ADR.

Conclusions

The EVIS X1 system may have the potential to improve adenoma detection, particularly when used with CMOS sensor-equipped scopes. These findings suggest potential benefits for colorectal cancer screening, although further large-scale studies are warranted for validation.


Introduction

Colonoscopy is a reliable method for detecting and diagnosing colorectal neoplasms and polypectomy has been shown to be both diagnostically and therapeutically effective in reducing incidence of colorectal cancer [1]. However, it has been reported that conventional endoscopic systems using white light imaging (WLI) with a xenon light source miss approximately 25% of colonic lesions [2] [3]. Randomized studies have investigated several factors contributing to these differences. Lesions may be overlooked due to poor bowel preparation [4], haustral folds, technical factors [5], and lesion-related characteristics such as flat and depressed morphologies that are difficult to detect [3]. Therefore, improvements in colonoscopy procedures and various colonoscopy modalities are considered to overcome these limitations.

Recent advances in endoscopic technology have improved accuracy of endoscopy using image-enhanced endoscopy (IEE) for lesions that are difficult to observe using conventional WLI. IEE modalities such as narrow-band imaging (NBI) [6], blue laser imaging/blue light imaging (BLI) [7], linked color imaging (LCI) [8], and i-scan [9], which can be switched to conventional WLI by pressing a button on the endoscope, are now available. Recent reports have shown that use of these IEEs increases the detection rate for colorectal adenomas, in addition to their role in differential diagnosis of non-neoplastic and neoplastic lesions [6] [10]. However, screening the entire colon of every patient twice using both WLI and IEE is not widely practiced due to time constraints and the complexity of the procedure, despite evidence suggesting that it may be more beneficial than WLI alone. In general clinical practice, IEE is typically used only after a suspicious lesion has been detected by WLI, primarily for differential diagnosis. Consequently, WLI remains the gold standard for lesion detection in screening colonoscopies. To date, many studies have compared high-definition white light endoscopy (HD-WLE) with standard-definition WLE (SD-WLE) in xenon light source endoscope systems [11], and meta-analyses have shown that HD-WLE has a certain level of significance in detecting colon polyps [12]. The European Society of Gastrointestinal Endoscopy, therefore, recommends use of high-resolution endoscopes in clinical practice if possible [13]. However, the advantage of HD-WLE remains limited, and it is desirable that examinations using higher-resolution WLI than ever before could improve lesion detection.

The new EVIS X1 colonoscopy system (Olympus Medical Systems, Tokyo, Japan) features novel five-LED illumination technology and is compatible with a novel complementary metal-oxide-semiconductor (CMOS) image sensor distinct from a conventional charge-coupled device (CCD). These new technologies provide high-resolution WLI not available with traditional xenon light endoscopy systems ([Fig. 1]). However, the magnitude of the additional effect of detecting colorectal lesions in clinical practice remains unclear. In this study, we investigated the impact of the X1 system on colorectal polyp detection compared with the EVIS LUCERA ELITE system, a xenon light system, in a general clinical setting. The primary objective of this study was to compare adenoma detection rate (ADR) and polyp detection rate (PDR) before and after implementation of high-definition colonoscopy. In this study, in addition to differences in the endoscope system depending on the light source, we also examined detection of lesions depending on the type of scope equipped with the CMOS image sensor.

Zoom
Fig. 1 Typical endoscopic images obtained with a five-LED system and a conventional xenon light system. The squares indicate magnified views of a distant area, located 10 to 15 cm from the tip, highlighting differences in light intensity and visibility. a Five-LED system equipped with a CMOS scope: EVIS X1 with CF-XZ1200I. b Xenon light system equipped with a CCD scope: EVIS LUCERA ELITE with CF-HQ290ZI.

Patients and methods

Study design and patients

This retrospective cohort study was conducted at Hamamatsu University School of Medicine. The study was approved by the institutional review board (IRB approval number: 24–012) and was conducted in accordance with the Japanese Ethical Guidelines for Medical and Health Research Involving Human Subjects.

We reviewed medical records of patients who underwent colonoscopy between September 2020 and April 2023. Endoscopic findings and pathological diagnosis results were extracted using the Solemio QUEV system (Olympus Medical Systems) and the hospital electronic medical record system. A total of 4,915 consecutive colonoscopies performed at Hamamatsu University Hospital were identified. Inclusion criteria were colonoscopies performed using either the EVIS X1 or EVIS LUCERA ELITE systems. Exclusion criteria were as follows: emergency endoscopy; patients presenting with abdominal symptoms, hematochezia/melena; a history of inflammatory bowel disease or polyposis; prior colon resection; an unreachable cecum or ileum; known preexisting polyps; and inadequate and poor bowel preparation evaluated by the Aronchick scale. Propensity score matching (PSM) was performed to balance baseline characteristics between groups. Variables used in the matching were age, sex, number of examinations, reason for examination, bowel preparation, and endoscopist experience.


Endoscopic procedures

Hamamatsu University Hospital is a tertiary care center that performs colonoscopy using two types of video processor systems: the LUCERA and the X1 systems. The new X1 system features novel five-LED illumination technology and incorporates a CMOS image sensor distinct from the conventional CCD sensor.

Patients were informed by outpatient physicians regarding indications for colonoscopy, procedure details, potential risks, and personal data protection measures, and written informed consent was obtained. Patients were able to schedule the time and date of their colonoscopy; however, they could not choose the endoscopy system used.

Bowel preparation consisted of 1 to 2 L of a polyethylene glycol solution containing ascorbic acid, followed by an additional 1 to 2 L of water. Sedated colonoscopy was performed at patient request, with midazolam (2–5 mg) and/or pentazocine (7.5–15 mg) administered as sedatives.

In this study, IEE techniques—such as chromoendoscopy, TXI, and NBI—were not routinely used for polyp detection but were applied at the discretion of the endoscopist for detailed examination. When endoscopists detected lesions suspected to be adenomas (excluding clearly benign lesions such as rectal hyperplastic lesions), they opted for endoscopic resection and submitted the specimens for pathological diagnosis.

Withdrawal time of the colonoscopy was calculated based on endoscopist-reported data in the Solemio QUEV system. Because both insertion time and total procedure time were recorded in the system, withdrawal time was calculated as (total procedure time - insertion time).

Quality of bowel preparation was assessed based on the Aronchick scale and categorized into five levels: excellent, good, fair, poor, and inadequate. Patients with poor and inadequate preparation were excluded from the analysis.


Endoscopists

A total of 54 endoscopists were involved in the study, of whom 45 were classified as non-trainees and nine as trainees. A trainee was defined as a doctor who has performed less than 300 colonoscopies.


Endpoints

The primary endpoint was the comparison of the ADR between the two groups using different video processor systems. ADR was defined as the proportion of patients with at least one adenoma detected among all patients examined. Secondary endpoints included PDR, advanced ADR (AADR), sessile serrated lesion detection rate (SSLDR), number of adenomas per colonoscopy (APC), and number of polyps per colonoscopy (PPC), including both adenomas and hyperplastic polyps. An advanced adenoma was defined as an adenoma measuring ≥ 10 mm, exhibiting (tubulo)villous histology, or showing high-grade dysplasia. APC, PPC, and SSL per colonoscopy (SSLPC) were defined as the mean number of adenomas, polyps, and SSLs detected per colonoscopy, respectively.


Characteristics and classification of polyps

In this study, only polyps that were detected by endoscopy, resected during the same procedure, and confirmed by pathological diagnosis were included in the analysis. According to the guidelines of the Japanese Society of Gastroenterology [14], hyperplastic polyps of 5 mm or less in the rectum and sigmoid colon diagnosed by endoscopists were not resected as a general rule, and therefore, these lesions were excluded from the analysis. Data regarding location, size, macroscopic morphology, and pathological diagnosis of the polyps were collected. Polyp morphology was classified according to the Paris classification.


Statistical analysis

Statistical analyses were performed using SPSS version 27 (IBM, Armonk, New York, United States) and the EZR plugin for R (Saitama Medical Center, Jichi Medical University, Saitama, Japan), a modified version of R Commander designed to add statistical functions commonly used in biostatistics. Continuous data are presented as mean ± standard deviation and were analyzed using the Student’s t-test or the Mann-Whitney U test, depending on the data distribution. Categorical data were analyzed using Pearson’s chi-square test or Fisher’s exact test, as appropriate. Statistical significance was defined as P < 0.05. Multivariate analysis was performed using a logistic regression model to assess the association between clinical factors and adenoma detection. Variables found to be significantly associated in the univariate analysis were included as covariates in the multivariate model.



Results

Patient enrollment and baseline characteristics

[Fig. 2] shows the flowchart of patient enrollment. A total of 4,915 eligible patients were assessed for trial participation during the study period and 106 patients were excluded due to insufficient medical records. Of them, 2,601 underwent colonoscopy using the LUCERA system and 2,074 using the X1 system. After further exclusion based on predefined criteria, 953 cases were included in the LUCERA group and 814 in the X1 group.

Zoom
Fig. 2 Flow chart depicting patient enrollment.

Demographic and clinical characteristics of patients were compared between the two groups. There were no significant differences in age, gender, bowel preparation quality, number of previous colonoscopies, or endoscopist experience. However, significant differences were observed in the reason for examination, intubation time, and withdrawal time, which could potentially affect the results (Supplementary Table 1).

PSM was performed to balance baseline characteristics. After matching, 660 cases were included in each group and all characteristics were well balanced ([Table 1]). These matched cases were used for subsequent analysis.

Table 1 Demographic and colonoscopy characteristics of propensity score matched cohort.

Group

EVIS LUCERA

EVIS-X1

P value

FIT, fecal immunochemical test; SD, standard deviation.

Numbers of patients

660

660

Gender; male/female, n (%)

424 (64.2)/236 (35.8)

407 (61.7)/253 (38.3)

0.362

Age, mean ± SD (range), years

66.22 ± 14.07

66.16 ± 14.68

0.939

Number of examinations, n (%)

0.654

  • First time

239 (36.2)

247 (37.4)

  • Second time or more

372 (56.4)

372 (56.4)

  • unknown

49 (7.4)

41 (6.2)

Reason for examination, n (%)

0.958

  • Screening

438 (66.4)

441 (66.8)

  • Surveillance

119 (18.0)

120 (18.2)

  • FIT positive

103 (15.6)

99 (15.0)

Bowel preparation, n (%)

0.63

  • Excellent

199 (30.2)

210 (31.8)

  • Good

321 (48.6)

323 (48.9)

  • Fair

140 (21.2)

127 (19.2)

Endoscopist experience, n (%)

1

  • Non-trainee (≥ 300 cases)

519 (78.6)

519 (78.6)

  • Trainee (< 300 cases)

141 (21.4)

141 (21.4)

Withdrawal time, minutes ± SD

14.52 ± 11.95

15.35 ± 11.04

0.257

Intubation time, minutes ± SD

11.14 ± 8.34

11.70 ± 9.08

0.219


Comparison of adenoma and polyp detection between LUCERA and X1 groups

As summarized in Table 2, ADR, and PDR were slightly higher in the X1 group compared with the LUCERA group: 36.1% vs. 32.1% (P = 0.147), and 36.8% vs. 40.9% (P = 0.142), respectively, although these differences were not statistically significant.

APC was significantly higher in the X1 group compared with the LUCERA group (0.77 vs. 0.61, P = 0.034), as was the PPC (0.95 vs. 0.75, P = 0.023) ([Fig. 3] a).

Zoom
Fig. 3 Comparison of adenoma and polyp detection. a Comparison of ADR, PDR, APC, and PPC between X1 group and LUCERA group. b Comparison of ADR, PDR, AADR, and SSLDR between CMOS and CCD scopes in the X1 group.

AADR, SSLDR, AAPC, and SSLPC did not show statistically significant differences between the X1 and LUCERA groups ([Table 2]).

Table 2 Outcome comparison between EVIS-X1 and EVIS LUCERA groups.

Group

EVIS LUCERA

EVIS-X1

P value

AADR, advanced adenoma detection rate; AAPC, advanced adenomas per colonoscopy; ADR, adenoma detection rate; APC, adenomas per colonoscopy PDR, polyp detection rate; PPC, polyps per colonoscopy; SSLDR, sessile serrated lesion detection rate; SSLPC, sessile serrated lesion per colonoscopy.

Numbers of patients

660

660

ADR, %

32.1

36.1

0.147

PDR, %

36.8

40.9

0.142

AADR, %

5.6

3.6

0.115

SSLDR, %

3.0

4.4

0.244

APC, mean ± SD

0.61 ± 1.25

0.77 ± 1.54

0.034

PPC, mean ± SD

0.75 ± 1.44

0.95 ± 1.74

0.023

AAPC, mean ± SD

0.06 ± 0.28

0.05 ± 0.28

0.380

SSLPC, mean ± SD

0.05 ± 0.40

0.06 ± 0.33

0.454


Comparison of adenoma and polyp detection between CMOS and CCD scopes in the X1 group

As part of a subgroup analysis, we further evaluated the effects of the new colonoscopes equipped with CMOS sensors. CMOS is a high-performance image sensor commonly used in devices such as single-lens reflex cameras, and enables brighter, lower-noise, higher-quality imaging.

As shown in [Fig. 3] b, scopes equipped with CMOS image sensors (CF-XZ1200I, CF-EZ1500DI) demonstrated a significantly higher ADR (41.9%) compared with scopes equipped with traditional CCD sensors within the X1 group. However, when CCD scopes were used with the X1 system, the ADR did not improve compared with the LUCERA system. We hypothesize that use of CCD scopes may act as a bottleneck, preventing the system from achieving its optimal performance.


Comparison of characteristics of detected polyps between LUCERA and X1 groups.

We evaluated characteristics of the detected polyps. A total of 1,124 polyps were endoscopically resected and analyzed, including 910 (81.0%) adenomas, 70 (6.2%) SSLs, and 67 (6.0%) hyperplastic polyps (Supplementary Table 2). As shown in [Table 3], there were no significant differences in location, size, or morphology of polyps between the LUCERA and X1 groups. As an additional analysis, we examined differences between CMOS and CCD scopes within the X1 group. In the subgroup analysis, mean polyp size was significantly smaller in the CMOS group; however, distribution across the three size categories (< 5 mm, 5–9 mm, and ≥ 10 mm) did not differ significantly between groups. No significant differences were observed in terms of morphology and location ([Table 4]).

Table 3 Polyp detection according to size, morphology, and site in the EVIS-X1 and EVIS LUCERA groups.

Group

EVIS LUCERA

EVIS-X1

P value

SD, standard deviation.

Numbers of polyps

497

627

Polyp size, mm ± SD

6.02 ± 4.99

6.11 ± 4.33

0.753

Polyp size (%)

0.182

  • Small (< 5 mm)

210 (42.3)

231 (36.8)

  • Medium (5 mm - 9 mm)

236 (47.5)

326 (52.0)

  • Large (≥ 10 mm)

51 (10.3)

70 (11.2)

Morphology

  • 0-Ip

29 (5.8)

28 (4.5)

  • 0-Isp

109 (21.9)

137 (21.9)

  • 0-Is

280 (56.3)

345 (55.0)

  • 0-IIa

79 (15.9)

116 (18.5)

  • 0-IIb

0

1 (0.2)

  • 0-IIc

0

0

Morphology (subclassification)

0.329

  • Pedunculated

138 (27.8)

165 (26.3)

  • Sessile

280 (56.3)

345 (55.0)

  • Flat

79 (15.9)

117 (18.7)

Site

  • Cecum

28 (5.6)

44 (7.0)

  • Ascending colon

107 (21.5)

133 (21.2)

  • Transverse colon

114 (22.5)

155 (24.7)

  • Descending colon

68 (13.7)

68 (10.8)

  • Sigmoid colon

143 (28.8)

172 (27.4)

  • Rectum

39 (7.8)

55 (8.8)

Site (subclassification)

0.306

  • Right sided

247 (49.7)

332 (53.0)

  • Left sided

250 (50.3)

295 (47.0)

Table 4 Polyp detection according to size, morphology and site in the EVIS-X1 with CMOS and the other CCD systems.

Group

CCD group

CMOS group

P value

CCD, charge coupled device; CMOS, complementary metal oxide semiconductor; SD, standard deviation.

Number of polyps

371

256

Polyp size, mm ± SD

6.11 ± 4.08

5.23 ± 2.45

0.002

Polyp size (%)

0.066

  • Small (< 5 mm)

129 (34.8)

102 (39.8)

  • Medium (5 mm - 9 mm)

192 (51.8)

134 (52.3)

  • Large (≥ 10 mm)

50 (13.5)

20 (7.8)

Morphology

  • 0-Ip

19 (5.1)

9 (3.5)

  • 0-Isp

76 (20.5)

61 (23.8)

  • 0-Is

206 (55.5)

139 (54.3)

  • 0-IIa

69 (18.6)

47 (18.4)

  • 0-IIb

1 (0.3)

0

  • 0-IIc

0

0

Morphology (subclassification)

0.612

  • Pedunculated

19 (5.1)

9 (3.5)

  • Sessile

282 (76.0)

200 (78.1)

  • Flat

70 (18.9)

47 (18.4)

Site

  • Cecum

30 (8.1)

14 (5.5)

  • Ascending colon

61 (16.4)

72 (28.1)

  • Transverse colon

106 (28.6)

49 (19.1)

  • Descending colon

40 (10.8)

28 (10.9)

  • Sigmoid colon

101 (27.2)

71 (27.7)

  • Rectum

33 (8.9)

22 (8.6)

Site (subclassification)

0.933

  • Right sided

197 (53.1)

135 (52.7)

  • Left sided

174 (46.9)

121 (47.3)


Univariate and multivariate analysis of factors associated with adenoma detection

Finally, logistic regression analysis was performed to identify factors associated with ADR in this study. Variables examined included age, sex, use of the X1 system, use of the X1 system with a CMOS scope, positive fecal occult blood test (FOBT), endoscopist experience, bowel preparation quality, first-time examination, and right-sided colon involvement. As shown in [Table 5], univariate analysis identified age, sex, use of the X1 system with a CMOS scope, positive FOBT, and first-time examination as significantly associated factors. Multivariate analysis of these five factors revealed that age, sex, use of the X1 system with a CMOS scope, and positive FOBT were independent factors associated with adenoma detection.

Table 5 Univariate and multivariate analysis for factors related to adenoma detection.

Univariate analysis

Multivariate analysis

Factor

Crude OR

95% CI

P value

Adjusted OR

95% CI

P value

FIT, fecal immunochemical test; OR, odds ratio.

Age, over 60

2.300

1.800–2.950

< 0.0001

2.190

1.690–2.840

< 0.0001

Sex, Male

1.610

1.320–1.980

< 0.0001

1.500

1.200–1.860

0.0003

System, EVIS-X1

1.210

0.994–1.470

0.0569

System, EVIS-X1 with CMOS scope

1.470

1.150–1.880

0.0019

1.520

1.170–1.980

0.0018

Reason, FIT positive

1.840

1.430–2.370

< 0.0001

2.020

1.540–2.650

< 0.0001

Endoscopist experience, non-trainee

0.860

0.688-1.080

0.1880

Bowel preparation, excellent

0.943

0.761–1.170

0.5941

Number of examinations,first time

0.749

0.606-0.925

0.0073

0.813

0.652-1.010

0.0646

Colon side, right

1.003

0.863-1.166

0.9694



Discussion

This study is the first to report on the impact of a colonoscopy system featuring both five-LED illumination and a novel CMOS image sensor on colorectal adenoma detection. Using PSM to balance baseline characteristics, we compared the EVIS X1 system with the EVIS LUCERA ELITE system. Although no statistically significant difference in ADR was observed between the two groups, the X1 group demonstrated significantly higher APC and PPC, suggesting a potential benefit in detecting additional lesions. Furthermore, within the X1 group, scopes equipped with CMOS image sensors achieved notably higher ADR compared with those with conventional CCD sensors. These findings suggest that the X1 system, particularly when combined with CMOS-equipped scopes, has the potential to enhance the quality of endoscopic screening for colorectal neoplasms.

Many studies to date have investigated usefulness of IEE techniques, such as chromoendoscopy [15], TXI [16], LCI [17], and NBI [6], for detection of colorectal adenomas. However, use of these techniques often requires extended examination time due to the need for additional observations, making their consistent application in universal screening settings impractical. Regarding xenon light endoscopic systems, several studies have compared high-resolution colonoscopes with earlier generations of standard-resolution scopes, reporting that high-resolution colonoscopy improves ADR [11] [18] [19]. A meta-analysis of five studies involving 4,422 average-risk patients demonstrated a 3.5% incremental yield (95% confidence interval [CI], 0.9%-6.1%) for HD-WLE compared with SD-WLE in detecting patients with at least one adenoma [12]. In addition, a more recent meta-analysis of six randomized controlled trials (RCTs) involving 4,594 patients found that ADR was significantly higher with HD-WLE than with SD colonoscopy (40% vs. 35%; relative risk [RR], 1.13; 95% CI, 1.05–1.22; P = 0.001) [20]. Olympus H290 LUCERA ELITE HD colonoscopes have also been shown to improve adenoma detection in moderate-risk populations, with an estimated 12% improvement in ADR potentially translating into a significant reduction in colorectal cancer mortality [21]. Based on these findings, we hypothesized that the X1 system, incorporating five-LED illumination technology and a new CMOS image sensor, would further increase the ADR by providing higher image resolution than ever before.

First, we compared detection rates for polyps of any size, including ADR, APC, and PPC, between the X1 and LUCERA groups. Our results showed that both APC and PPC were significantly higher in the X1 group than in the LUCERA group. These findings suggest that the X1 system may substantially reduce the miss rate for colorectal lesions. Polyp miss rates during colonoscopy have been reported to be influenced by colonoscopist experience [22] [23]. To investigate this, we evaluated polyp detection success among trainees, defined as endoscopists with experience with fewer than 300 cases, and non-trainees, defined as those with experience with 300 cases or more. We found no significant difference in detection rates between trainees and non-trainees (Supplementary Table 3). At our hospital, trainees never perform colonoscopy independently but always conduct examinations under the supervision of non-trainee endoscopists. Thus, we hypothesize that the skills of non-trainee endoscopists may have contributed to the high detection rates observed among trainees. These results suggest that the X1 system may serve as a valuable diagnostic tool for colonoscopists regardless of their level of experience.

A previous report has shown that adenoma detection using HD-WLE with xenon light sources was significantly higher compared with SD-WLE for flat adenomas (9.5% vs. 2.4%, P = 0.003) and right-sided adenomas (34.0% vs. 19.0%, P = 0.001) in a two-center RCT [24]. Detection of diminutive polyps (< 5 mm) was also significantly increased with HD-WLE (22.5% vs. 15.6%, P < 0.001), as was the adenoma-per-patient rate (0.57 vs. 0.47, P < 0.001) [25]. In our study, LED-based endoscopes showed no overall advantage for right-sided or small lesions. Interestingly, subgroup analysis indicated a modest benefit for small-lesion detection with CMOS scopes, but this was not significant when stratified by three lesion sizes. Further, AADR in the X1 group was lower than in the LUCERA group (3.6% vs. 5.6%, P = 0.115). These findings suggest that although LED systems may aid small-lesion detection, their impact on colorectal cancer prevention via increased polyp detection rates is limited and may not translate into higher AADR. In recent years, usefulness of artificial intelligence (AI)-assisted diagnostic support for colon polyp detection has been increasingly reported [26] [27]. AI diagnostic support is expected to complement or even replace traditional IEE and may become the next major modality integrated into high-resolution endoscopes with LED light sources for screening colonoscopy.

There were several limitations in this study. First, it was a single-center study, and endoscopists were not blinded to group assignment. Second, this study had inherent limitations associated with retrospective data collection, and some potential confounding factors—such as body mass index, smoking status, alcohol intake, and medication use—may not have been fully accounted for in the analysis. Third, biopsy time and polyp removal time were not precisely recorded and subtracted, potentially leading to overestimation of withdrawal time. Although we attempted to balance withdrawal times using PSM, withdrawal time excluding treatment procedures may have been shorter in the X1 group. Therefore, a larger RCT with precise adjustment for withdrawal time is advisable. Fourth, although scope allocation was generally decided by the technicians based on post-cleaning availability, we cannot completely exclude the possibility of introducing selection bias into subgroup analyses. Furthermore, post-hoc power analysis indicated that the study had approximately 33.5% power to detect a 4% difference in ADR, suggesting a potential risk of type II error. Future larger-scale prospective studies are needed to confirm the benefit of the EVIS X1 system.


Conclusions

Despite these limitations, our findings suggest that the X1 system, particularly when combined with CMOS image sensor-equipped endoscopes, has the potential to improve detection of colorectal adenomas and polyps, thereby enhancing the quality of colonoscopy screening for colorectal cancer. We hope that the results of this study will contribute to development of effective colonoscopic screening strategies in the future.



Contributorsʼ Statement

Tatsuhiro Ito: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing - original draft. Satoshi Osawa: Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing - original draft, Writing - review & editing. Takanori Yamada: Conceptualization, Data curation, Investigation, Methodology. Keisuke Inagaki: Data curation, Investigation. Tomohiro Takebe: Data curation, Investigation. Satoru Takahashi: Data curation, Investigation. Shunya Onoue: Data curation, Investigation. Kiichi Sugiura: Data curation, Investigation, Methodology. Natsuki Ishida: Data curation, Investigation, Methodology. Tomoharu Matsuura: Data curation, Investigation. Mihoko Yamade: Data curation, Investigation. Moriya Iwaizumi: Methodology, Supervision, Validation. Yasushi Hamaya: Conceptualization, Data curation, Formal analysis, Investigation, Methodology. Ken Sugimoto: Conceptualization, Methodology, Supervision, Writing - review & editing.

Conflict of Interest

The authors declare that they have no conflict of interest.

  • References

  • 1 Zauber AG, Winawer SJ, O'Brien MJ. et al. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med 2012; 366: 687-696
  • 2 van Rijn JC, Reitsma JB, Stoker J. et al. Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol 2006; 101: 343-350
  • 3 Zhao S, Wang S, Pan P. et al. Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: A systematic review and meta-analysis. Gastroenterology 2019; 156: 1661-74 e11
  • 4 Froehlich F, Wietlisbach V, Gonvers JJ. et al. Impact of colonic cleansing on quality and diagnostic yield of colonoscopy: The European Panel of Appropriateness of Gastrointestinal Endoscopy European multicenter study. Gastrointest Endosc 2005; 61: 378-384
  • 5 Barclay RL, Vicari JJ, Doughty AS. et al. Colonoscopic withdrawal times and adenoma detection during screening colonoscopy. N Engl J Med 2006; 355: 2533-2541
  • 6 Atkinson NSS, Ket S, Bassett P. et al. Narrow-band imaging for detection of neoplasia at colonoscopy: A meta-analysis of data from individual patients in randomized controlled trials. Gastroenterology 2019; 157: 462-471
  • 7 Yoshida N, Dohi O, Inoue K. et al. The efficacy of tumor characterization and tumor detectability of linked color imaging and blue laser imaging with an LED endoscope compared to a LASER endoscope. Int J Colorectal Dis 2020; 35: 815-825
  • 8 Yoshida N, Inada Y, Yasuda R. et al. Additional thirty seconds observation with linked color imaging improves detection of missed polyps in the right-sided colon. Gastroenterol Res Pract 2018; 2018: 5059834
  • 9 Kidambi TD, Terdiman JP, El-Nachef N. et al. Effect of I-scan electronic chromoendoscopy on detection of adenomas during colonoscopy. Clin Gastroenterol Hepatol 2019; 17: 701-8 e1
  • 10 Karsenti D, Perrod G, Perrot B. et al. Impact of linked color imaging on the proximal adenoma miss rate: a multicenter tandem randomized controlled trial (the COCORICO trial). Endoscopy 2024; 56: 759-767
  • 11 Buchner AM, Shahid MW, Heckman MG. et al. High-definition colonoscopy detects colorectal polyps at a higher rate than standard white-light colonoscopy. Clin Gastroenterol Hepatol 2010; 8: 364-370
  • 12 Subramanian V, Mannath J, Hawkey CJ. et al. High definition colonoscopy vs. standard video endoscopy for the detection of colonic polyps: a meta-analysis. Endoscopy 2011; 43: 499-505
  • 13 Bisschops R, East JE, Hassan C. et al. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2019. Endoscopy 2019; 51: 1155-1179
  • 14 Tanaka S, Saitoh Y, Matsuda T. et al. Evidence-based clinical practice guidelines for management of colorectal polyps. J Gastroenterol 2021; 56: 323-335
  • 15 Antonelli G, Correale L, Spadaccini M. et al. Dye-based chromoendoscopy for the detection of colorectal neoplasia: meta-analysis of randomized controlled trials. Gastrointest Endosc 2022; 96: 411-422
  • 16 Mitev S, Saeed H, Rasheed CF. et al. Texture and color enhancement imaging versus white light imaging for the detection of colorectal adenomas: Systematic review and meta-analysis. Endosc Int Open 2025; 13: a24749676
  • 17 Zwetkoff BHF, Alberti LR, Rodrigues FG. et al. The impact of linked color imaging on adenoma detection rate in colonoscopy: a systematic review and meta-analysis. Clin Endosc 2025; 58: 225-239
  • 18 Richardson J, Thaventhiran A, Mackenzie H. et al. The use of high definition colonoscopy versus standard definition: does it affect polyp detection rate?. Surg Endosc 2018; 32: 2676-2682
  • 19 Moon SY, Lee JY, Lee JH. Comparison of adenoma detection rate between high-definition colonoscopes with different fields of view: 170 degrees versus 140 degrees. Medicine (Baltimore) 2023; 102: e32675
  • 20 Tziatzios G, Gkolfakis P, Lazaridis LD. et al. High-definition colonoscopy for improving adenoma detection: a systematic review and meta-analysis of randomized controlled studies. Gastrointest Endosc 2020; 91: 1027-36 e9
  • 21 Bond A, O'Toole P, Fisher G. et al. New-generation high-definition colonoscopes increase adenoma detection when screening a moderate-risk population for colorectal cancer. Clin Colorectal Cancer 2017; 16: 44-50
  • 22 Lee JY, Koh M, Lee JH. Latest generation high-definition colonoscopy increases adenoma detection rate by trainee endoscopists. Dig Dis Sci 2021; 66: 2756-2762
  • 23 Sey M, Cocco S, McDonald C. et al. Association of trainee participation in colonoscopy procedures with quality metrics. JAMA Netw Open 2022; 5: e2229538
  • 24 Rastogi A, Early DS, Gupta N. et al. Randomized, controlled trial of standard-definition white-light, high-definition white-light, and narrow-band imaging colonoscopy for the detection of colon polyps and prediction of polyp histology. Gastrointest Endosc 2011; 74: 593-602
  • 25 Pioche M, Denis A, Allescher HD. et al. Impact of 2 generational improvements in colonoscopes on adenoma miss rates: results of a prospective randomized multicenter tandem study. Gastrointest Endosc 2018; 88: 107-116
  • 26 Hassan C, Spadaccini M, Mori Y. et al. Real-time computer-aided detection of colorectal neoplasia during colonoscopy: A systematic review and meta-analysis. Ann Intern Med 2023; 176: 1209-1220
  • 27 Spadaccini M, Iannone A, Maselli R. et al. Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis. Lancet Gastroenterol Hepatol 2021; 6: 793-802

Correspondence

Dr. Satoshi Osawa
Department of Advanced Medical Science for Regional Collaboration, Hamamatsu University School of Medicine
Hamamatsu
Japan   

Publication History

Received: 07 May 2025

Accepted after revision: 12 November 2025

Accepted Manuscript online:
01 December 2025

Article published online:
19 December 2025

© 2026. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany

Bibliographical Record
Tatsuhiro Ito, Satoshi Osawa, Takanori Yamada, Keisuke Inagaki, Tomohiro Takebe, Satoru Takahashi, Shunya Onoue, Kiichi Sugiura, Natsuki Ishida, Tomoharu Matsuura, Mihoko Yamade, Moriya Iwaizumi, Yasushi Hamaya, Ken Sugimoto. Comparison of adenoma detection rate using the novel 5-LED vs xenon-light endoscopic system: Propensity score matching analysis. Endosc Int Open 2025; 13: a27606529.
DOI: 10.1055/a-2760-6529
  • References

  • 1 Zauber AG, Winawer SJ, O'Brien MJ. et al. Colonoscopic polypectomy and long-term prevention of colorectal-cancer deaths. N Engl J Med 2012; 366: 687-696
  • 2 van Rijn JC, Reitsma JB, Stoker J. et al. Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol 2006; 101: 343-350
  • 3 Zhao S, Wang S, Pan P. et al. Magnitude, risk factors, and factors associated with adenoma miss rate of tandem colonoscopy: A systematic review and meta-analysis. Gastroenterology 2019; 156: 1661-74 e11
  • 4 Froehlich F, Wietlisbach V, Gonvers JJ. et al. Impact of colonic cleansing on quality and diagnostic yield of colonoscopy: The European Panel of Appropriateness of Gastrointestinal Endoscopy European multicenter study. Gastrointest Endosc 2005; 61: 378-384
  • 5 Barclay RL, Vicari JJ, Doughty AS. et al. Colonoscopic withdrawal times and adenoma detection during screening colonoscopy. N Engl J Med 2006; 355: 2533-2541
  • 6 Atkinson NSS, Ket S, Bassett P. et al. Narrow-band imaging for detection of neoplasia at colonoscopy: A meta-analysis of data from individual patients in randomized controlled trials. Gastroenterology 2019; 157: 462-471
  • 7 Yoshida N, Dohi O, Inoue K. et al. The efficacy of tumor characterization and tumor detectability of linked color imaging and blue laser imaging with an LED endoscope compared to a LASER endoscope. Int J Colorectal Dis 2020; 35: 815-825
  • 8 Yoshida N, Inada Y, Yasuda R. et al. Additional thirty seconds observation with linked color imaging improves detection of missed polyps in the right-sided colon. Gastroenterol Res Pract 2018; 2018: 5059834
  • 9 Kidambi TD, Terdiman JP, El-Nachef N. et al. Effect of I-scan electronic chromoendoscopy on detection of adenomas during colonoscopy. Clin Gastroenterol Hepatol 2019; 17: 701-8 e1
  • 10 Karsenti D, Perrod G, Perrot B. et al. Impact of linked color imaging on the proximal adenoma miss rate: a multicenter tandem randomized controlled trial (the COCORICO trial). Endoscopy 2024; 56: 759-767
  • 11 Buchner AM, Shahid MW, Heckman MG. et al. High-definition colonoscopy detects colorectal polyps at a higher rate than standard white-light colonoscopy. Clin Gastroenterol Hepatol 2010; 8: 364-370
  • 12 Subramanian V, Mannath J, Hawkey CJ. et al. High definition colonoscopy vs. standard video endoscopy for the detection of colonic polyps: a meta-analysis. Endoscopy 2011; 43: 499-505
  • 13 Bisschops R, East JE, Hassan C. et al. Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2019. Endoscopy 2019; 51: 1155-1179
  • 14 Tanaka S, Saitoh Y, Matsuda T. et al. Evidence-based clinical practice guidelines for management of colorectal polyps. J Gastroenterol 2021; 56: 323-335
  • 15 Antonelli G, Correale L, Spadaccini M. et al. Dye-based chromoendoscopy for the detection of colorectal neoplasia: meta-analysis of randomized controlled trials. Gastrointest Endosc 2022; 96: 411-422
  • 16 Mitev S, Saeed H, Rasheed CF. et al. Texture and color enhancement imaging versus white light imaging for the detection of colorectal adenomas: Systematic review and meta-analysis. Endosc Int Open 2025; 13: a24749676
  • 17 Zwetkoff BHF, Alberti LR, Rodrigues FG. et al. The impact of linked color imaging on adenoma detection rate in colonoscopy: a systematic review and meta-analysis. Clin Endosc 2025; 58: 225-239
  • 18 Richardson J, Thaventhiran A, Mackenzie H. et al. The use of high definition colonoscopy versus standard definition: does it affect polyp detection rate?. Surg Endosc 2018; 32: 2676-2682
  • 19 Moon SY, Lee JY, Lee JH. Comparison of adenoma detection rate between high-definition colonoscopes with different fields of view: 170 degrees versus 140 degrees. Medicine (Baltimore) 2023; 102: e32675
  • 20 Tziatzios G, Gkolfakis P, Lazaridis LD. et al. High-definition colonoscopy for improving adenoma detection: a systematic review and meta-analysis of randomized controlled studies. Gastrointest Endosc 2020; 91: 1027-36 e9
  • 21 Bond A, O'Toole P, Fisher G. et al. New-generation high-definition colonoscopes increase adenoma detection when screening a moderate-risk population for colorectal cancer. Clin Colorectal Cancer 2017; 16: 44-50
  • 22 Lee JY, Koh M, Lee JH. Latest generation high-definition colonoscopy increases adenoma detection rate by trainee endoscopists. Dig Dis Sci 2021; 66: 2756-2762
  • 23 Sey M, Cocco S, McDonald C. et al. Association of trainee participation in colonoscopy procedures with quality metrics. JAMA Netw Open 2022; 5: e2229538
  • 24 Rastogi A, Early DS, Gupta N. et al. Randomized, controlled trial of standard-definition white-light, high-definition white-light, and narrow-band imaging colonoscopy for the detection of colon polyps and prediction of polyp histology. Gastrointest Endosc 2011; 74: 593-602
  • 25 Pioche M, Denis A, Allescher HD. et al. Impact of 2 generational improvements in colonoscopes on adenoma miss rates: results of a prospective randomized multicenter tandem study. Gastrointest Endosc 2018; 88: 107-116
  • 26 Hassan C, Spadaccini M, Mori Y. et al. Real-time computer-aided detection of colorectal neoplasia during colonoscopy: A systematic review and meta-analysis. Ann Intern Med 2023; 176: 1209-1220
  • 27 Spadaccini M, Iannone A, Maselli R. et al. Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis. Lancet Gastroenterol Hepatol 2021; 6: 793-802

Zoom
Fig. 1 Typical endoscopic images obtained with a five-LED system and a conventional xenon light system. The squares indicate magnified views of a distant area, located 10 to 15 cm from the tip, highlighting differences in light intensity and visibility. a Five-LED system equipped with a CMOS scope: EVIS X1 with CF-XZ1200I. b Xenon light system equipped with a CCD scope: EVIS LUCERA ELITE with CF-HQ290ZI.
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Fig. 2 Flow chart depicting patient enrollment.
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Fig. 3 Comparison of adenoma and polyp detection. a Comparison of ADR, PDR, APC, and PPC between X1 group and LUCERA group. b Comparison of ADR, PDR, AADR, and SSLDR between CMOS and CCD scopes in the X1 group.