Detection Of Colorectal Adenomas Research Articles

Histopathological comparison of colorectal neoplasia or polyps development between young adults and older adults: Our experience of 735 consecutive cases and 1269 polyps

Objective: In recent decades, there has been an increase in early-onset colorectal cancer, the need to screen individuals younger than 50 years of age, and the presence of histopathological differences remains unclear. The objective of this study was to explore the occurrence of polyps in both young adults and older individuals and to examine their potential correlation with colorectal cancer. Methods: In this retrospective study conducted between July 1, 2018, and October 5, 2022, in the Pathology Laboratory, we designed a study based on the histopathological features of colorectal polyps evaluated by an experienced gastrointestinal pathologist based on the WHO 2019 classification. Results: We evaluated 735 consecutive patients who underwent colonoscopic polypectomy between July 2018 and October 2022. The prevalence of cases under the age of 50 was 13.9%, and adults over the age of 50 was 86.1%. A total of 1269 polyps were detected, 1215 (95.7%) were epithelial polyps and 145 (11.9%) were epithelial polyps under the age of 50. One hundred four conventional adenomas and four intramucosal carcinomas were detected in cases younger than 50 years. The patients in the low-risk adenoma group was 57%, and the rate of patients in the high-risk adenoma group was 14.9%. Overall, polyps were most common in the sigmoid colon and there was a statistically significant difference between detecting tubular adenomas in the sigmoid colon (P=0.04). Conclusions: Our current results confirm the detection of sporadic colorectal adenomas and advanced neoplasia in young adults.It is important to establish professional community guidelines for surveillance colonoscopy in these age groups. doi: https://doi.org/10.12669/pjms.40.6.8475 How to cite this: Koyuncuer A. Histopathological comparison of colorectal neoplasia or polyps development between young adults and older adults: Our experience of 735 consecutive cases and 1269 polyps. Pak J Med Sci. 2024;40(6):1111-1115. doi: https://doi.org/10.12669/pjms.40.6.8475 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Establishment and validation of an artificial intelligence-based model for real-time detection and classification of colorectal adenoma

Colorectal cancer (CRC) prevention requires early detection and removal of adenomas. We aimed to develop a computational model for real-time detection and classification of colorectal adenoma. Computationally constrained background based on real-time detection, we propose an improved adaptive lightweight ensemble model for real-time detection and classification of adenomas and other polyps. Firstly, we devised an adaptive lightweight network modification and effective training strategy to diminish the computational requirements for real-time detection. Secondly, by integrating the adaptive lightweight YOLOv4 with the single shot multibox detector network, we established the adaptive small object detection ensemble (ASODE) model, which enhances the precision of detecting target polyps without significantly increasing the model's memory footprint. We conducted simulated training using clinical colonoscopy images and videos to validate the method's performance, extracting features from 1148 polyps and employing a confidence threshold of 0.5 to filter out low-confidence sample predictions. Finally, compared to state-of-the-art models, our ASODE model demonstrated superior performance. In the test set, the sensitivity of images and videos reached 87.96% and 92.31%, respectively. Additionally, the ASODE model achieved an accuracy of 92.70% for adenoma detection with a false positive rate of 8.18%. Training results indicate the effectiveness of our method in classifying small polyps. Our model exhibits remarkable performance in real-time detection of colorectal adenomas, serving as a reliable tool for assisting endoscopists.

Multiple-matrix metabolomics analysis for the distinct detection of colorectal cancer and adenoma.

Although colorectal cancer (CRC) is the leading cause of cancer-related morbidity and mortality, current diagnostic tests for early-stage CRC and colorectal adenoma (CRA) are suboptimal. Therefore, there is an urgent need to explore less invasive screening procedures for CRC and CRA diagnosis. Untargeted gas chromatography-mass spectrometry (GC-MS) metabolic profiling approach was applied to identify candidate metabolites. We performed metabolomics profiling on plasma samples from 412 subjects including 200 CRC patients, 160 CRA patients and 52 normal controls (NC). Among these patients, 45 CRC patients, 152 CRA patients and 50 normal controls had their fecal samples tested simultaneously. Differential metabolites were screened in the adenoma-carcinoma sequence. Three diagnostic models were further developed to identify cancer group, cancer stage, and cancer microsatellite status using those significant metabolites. The three-metabolite-only classifiers used to distinguish the cancer group always keeps the area under the receiver operating characteristic curve (AUC) greater than 0.7. The AUC performance of the classifiers applied to discriminate CRC stage is generally greater than 0.8, and the classifiers used to distinguish microsatellite status of CRC is greater than 0.9. This finding highlights potential early-driver metabolites in CRA and early-stage CRC. We also find potential metabolic markers for discriminating the microsatellite state of CRC. Our study and diagnostic model have potential applications for non-invasive CRC and CRA detection.

Topic highlight on texture and color enhancement imaging in gastrointestinal diseases

Olympus Corporation developed texture and color enhancement imaging (TXI) as a novel image-enhancing endoscopic technique. This topic highlights a series of hot-topic articles that investigated the efficacy of TXI for gastrointestinal disease identification in the clinical setting. A randomized controlled trial demonstrated improvements in the colorectal adenoma detection rate (ADR) and the mean number of adenomas per procedure (MAP) of TXI compared with those of white-light imaging (WLI) observation (58.7% vs 42.7%, adjusted relative risk 1.35, 95%CI: 1.17-1.56; 1.36 vs 0.89, adjusted incident risk ratio 1.48, 95%CI: 1.22-1.80, respectively). A cross-over study also showed that the colorectal MAP and ADR in TXI were higher than those in WLI (1.5 vs 1.0, adjusted odds ratio 1.4, 95%CI: 1.2-1.6; 58.2% vs 46.8%, 1.5, 1.0-2.3, respectively). A randomized controlled trial demonstrated non-inferiority of TXI to narrow-band imaging in the colorectal mean number of adenomas and sessile serrated lesions per procedure (0.29 vs 0.30, difference for non-inferiority -0.01, 95%CI: -0.10 to 0.08). A cohort study found that scoring for ulcerative colitis severity using TXI could predict relapse of ulcerative colitis. A cross-sectional study found that TXI improved the gastric cancer detection rate compared to WLI (0.71% vs 0.29%). A cross-sectional study revealed that the sensitivity and accuracy for active Helicobacter pylori gastritis in TXI were higher than those of WLI (69.2% vs 52.5% and 85.3% vs 78.7%, respectively). In conclusion, TXI can improve gastrointestinal lesion detection and qualitative diagnosis. Therefore, further studies on the efficacy of TXI in clinical practice are required.

Abstract 1061: Diagnostic application of a novel blood CDH17 immunoassay in the detection of colorectal adenoma

Abstract Background: Colorectal cancer (CRC) is the most prevalent gastrointestinal (GI) cancer and contribute significantly to global cancer deaths. The mechanism of CRC development is a complex multistage process from hyperplastic lesions to the formation of adenomas, followed by the progression into malignancy. Hence, early detection during hyperplastic and adenomatous stages warrants new screening tests for effective interception of malignancy progression. Cadherin-17 (CDH17) is a biomarker characterized by its overexpression in several GI cancers, but restricted expression in intestinal mucosal epithelium of normal tissues. We have developed a blood immunoassay using a panel of RUO grade antibodies that unveiled CDH17 as a potential marker with high detection sensitivity and specificity for detecting adenomas. Our immunoassay is useful in identifying high-risk individuals with adenomas that may develop into CRC, which can significantly improve the diagnostic efficiency of colonoscopy that is currently lacking. Methods: The study recruited 66 patients (54 adenoma and 12 hyperplasia) and 39 normal samples (no abnormality by colonoscopy). CDH17 level in plasma samples were measured using the CDH17 immunoassay. Results: The novel CDH17 diagnostic assay showed an operating dynamic range from 90ng to 123pg. We observed a progressive and significant increase in the circulating CDH17 level from normal samples to the hyperplasia group, followed by the adenoma group (mean: 1.66ng/mL, 3.20ng/mL, 4.93ng/mL, respectively P<0.0001). The assay performance by ROC curve demonstrated an AUC of >0.9, with a sensitivity of 85% and specificity of 86%. NPV and PPV were 84% and 87%, respectively. The assay outperforms two market available FIT-DNA tests at predicting adenomas (Table. 1). Conclusion: The novel CDH17 immunoassay is potentially a powerful tool for the detection of aberrant plasma CDH17 expression, improving the surveillance and the detection of high-risk individuals for CRC. CDH17 immunoassay outperforms market availalble FIT-DNA tests at detecting hyperplasia and adenoma FIT-DNA test 1 FIT-DNA test 2 CDH17 blood immunoassay Age 40-74 Age 50-84 Age 45-93 Sensitivity (%) Advanced adenoma 63.5 42.4 85.0 Non-advanced adenoma (i.e Hyperplasia) Unavailable 17.2 58.3 Specificity (%) Normal control (no abnormality by colonoscopy) 87.1 89.8 86.1 NPV (%) Advanced adenoma Unavailable Unavailable 83.8 Non-advanced adenoma (i.e Hyperplasia) Unavailable Unavailable 86.1 PPV (%) Advanced adenoma Unavailable Unavailable 87.2 Non-advanced adenoma (i.e Hyperplasia) Unavailable Unavailable 58.3 Citation Format: Ng Lui, Felix Hon, Stella Sun, Pauline Leung, David Ho, John Moon Luk, Dominic Chi-Chung Foo. Diagnostic application of a novel blood CDH17 immunoassay in the detection of colorectal adenoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1061.

Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial.

Both artificial intelligence (AI) and distal attachment devices have been shown to improve adenoma detection rate and reduce miss rate during colonoscopy. We studied the combined effect of Endocuff and AI on enhancing detection rates of various colonic lesions. This was a 3-arm prospective randomized colonoscopy study involving patients aged 40 years or older. Participants were randomly assigned in a 1:1:1 ratio to undergo Endocuff with AI, AI alone, or standard high-definition (HD) colonoscopy. The primary outcome was adenoma detection rate (ADR) between the Endocuff-AI and AI groups while secondary outcomes included detection rates of polyp (PDR), sessile serrated lesion (sessile detection rate [SDR]), and advanced adenoma (advanced adenoma detection rate) between the 2 groups. A total of 682 patients were included (mean age 65.4 years, 52.3% male), with 53.7% undergoing diagnostic colonoscopy. The ADR for the Endocuff-AI, AI, and HD groups was 58.7%, 53.8%, and 46.3%, respectively, while the corresponding PDR was 77.0%, 74.0%, and 61.2%. A significant increase in ADR, PDR, and SDR was observed between the Endocuff-AI and AI groups (ADR difference: 4.9%, 95% CI: 1.4%-8.2%, P = 0.03; PDR difference: 3.0%, 95% CI: 0.4%-5.8%, P = 0.04; SDR difference: 6.4%, 95% CI: 3.4%-9.7%, P < 0.01). Both Endocuff-AI and AI groups had a higher ADR, PDR, SDR, and advanced adenoma detection rate than the HD group (all P < 0.01). Endocuff in combination with AI further improves various colonic lesion detection rates when compared with AI alone.

Endoscopic Resection Techniques for Precancerous and Early Cancerous Lesions in the Rectum

Today, endoscopy plays a decisive role not only in the detection of colorectal adenomas and carcinomas, but also in the treatment of precancerous lesions, in particular flat adenomas and early carcinomas. In recent years, endoscopic submucosal dissection (ESD) has become increasingly important alongside classic polypectomy and mucosal resection after saline injection using a snare (EMR). Using ESD the lesion is marked, injected submucosally using viscous substances and the mucosa incised and tunneled with a transparent cap and a fine diathermy knife. Particularly in the case of widespread and high-risk lesions ESD enables a quasi-surgical "en bloc" resection almost regardless of size, with a histological R0 resection rate of far over 90% in specialized centers. ESD enables an excellent histopathological evaluation and has a low recurrence risk of 1-3%. Endoscopic full-thickness resection using a dedicated device (FTRD system) represents another addition to the armamentarium. It can be used for circumscribed submucosal, suspicious or scarred changes up to 2cm in the middle and upper rectum. Endoscopic intermuscular dissection (EID) enables histopathological analysis of the complete submucosa beyond the mucosa and upper submucosal layer by including the circular inner muscle layer within the resection specimen. It reduces basal R1 situations and offers a new perspective for T1 carcinomas through curative, organ-preserving endoscopic therapy, especially in the case of deep submucosal infiltration alone, without other risk factors for metastases. Indications, the procedure itself and significance of the various techniques for premalignant and early malignant lesions in the rectum are presented.

Linked-color imaging with or without artificial intelligence for adenoma detection: a randomized trial.

Adenoma detection rate (ADR) is an important indicator of colonoscopy quality and colorectal cancer incidence. Both linked-color imaging (LCI) with artificial intelligence (LCA) and LCI alone increase adenoma detection during colonoscopy, although it remains unclear whether one modality is superior. This study compared ADR between LCA and LCI alone, including according to endoscopists' experience (experts and trainees) and polyp size. Patients undergoing colonoscopy for positive fecal immunochemical tests, follow-up of colon polyps, and abdominal symptoms at a single institution were randomly assigned to the LCA or LCI group. ADR, adenoma per colonoscopy (APC), cecal intubation time, withdrawal time, number of adenomas per location, and adenoma size were compared. The LCA (n=400) and LCI (n=400) groups showed comparable cecal intubation and withdrawal times. The LCA group showed a significantly higher ADR (58.8% vs. 43.5%; P<0.001) and mean (95%CI) APC (1.31 [1.15 to 1.47] vs. 0.94 [0.80 to 1.07]; P<0.001), particularly in the ascending colon (0.30 [0.24 to 0.36] vs. 0.20 [0.15 to 0.25]; P=0.02). Total number of nonpolypoid-type adenomas was also significantly higher in the LCA group (0.15 [0.09 to 0.20] vs. 0.08 [0.05 to 0.10]; P=0.02). Small polyps (≤5, 6-9mm) were detected significantly more frequently in the LCA group (0.75 [0.64 to 0.86] vs. 0.48 [0.40 to 0.57], P<0.001 and 0.34 [0.26 to 0.41] vs. 0.24 [0.18 to 0.29], P=0.04, respectively). In both groups, ADR was not significantly different between experts and trainees. LCA was significantly superior to LCI alone in terms of ADR.

Accuracy of GPT-4 in histopathological image detection and classification of colorectal adenomas

AimsTo evaluate the accuracy of Chat Generative Pre-trained Transformer (ChatGPT) powered by GPT-4 in histopathological image detection and classification of colorectal adenomas using the diagnostic consensus provided by pathologists as...

The Diagnostic Accuracy (DA) of ColonView Fecal Immunochemical Test (FIT) in Detecting Colorectal Adenoma (CRA) Can Be Improved by the Diagnostic Models (DM) that Include Triage and Risk Features of CRA.

This study assessed whether the diagnostic accuracy (DA) of ColonView (CV) fecal immunochemical test (FIT) in detecting colorectal adenoma (CRA) can be improved by the diagnostic models (DM) that include triage and risk features of CRA. A total of 5,090 participants of colorectal neoplasia (CRN) screening were recruited prospectively between January 2014 and December 2016. The CRN cohort of 486 patients included 222 CRA patients and 264 non-CRA patients of whom three consecutive fecal samples were analyzed by two fecal occult blood (FOB) assays (CV FIT test, HemoccultSENSA test). Hierarchical multilevel logistic models were used to test the DA of CV test and DMs, visualised as hierarchical summary receiving operating characteristic (HSROC) curves. In conventional receiving operating characteristic (ROC) analysis, the area under the curve (AUC) values of the age, height, weight, and body mass index (BMI) were 0.60, 0.57, 0.54, and 0.51, respectively. The AUC values for different DMs ranged from 0.69 (for DM without triage I/II and SENSA), and the highest AUC value of 0.70 was reached for DM with all variables included. In HSROC analysis, the AUC values for i) lowR variables, ii) highR variables, and ii) DMs were as follows: i) AUC=0.506, ii) AUC=0.566 and iii) AUC=0.732. The differences in AUC values were: between i) and ii) p=0.008; between i) and iii) p<0.0001; between ii) and iii) p<0.0001. The results demonstrated that DMs, particularly those including risk factors, significantly improved the DA of the CV FIT test in detecting CRA compared to traditional low-risk (lowR) and high-risk (highR) features alone. This study provides novel evidence supporting the enhanced diagnostic performance of DMs in combination with CV FIT testing for the detection of CRA.

Impact of a Time-Related Benchmark on the Adenoma Detection Rate in Surveillance Colonoscopy: A STROBE Statement-Oriented Cross-Sectional Cohort Study.

Colorectal adenomas are precursor lesions of globally increasing colorectal cancer. Hence, a high adenoma detection rate in colonoscopy is pivotal. We investigated the clinical impact of stratified colonoscopy observation time combined with observation time/intubation time ratio on the detection of colorectal adenomas. We conducted a single-center retrospective study including 369 consecutive patients who underwent colonoscopy following fecal immunochemical tests between May 2021 and April 2022. The primary outcome measure was the impact of the stratified observation time and observation time/ intubation time ratio (category 1: <6.0 minutes and <1.0, category 2: <6.0 minutes and ≥1.0, category 3: ≥6.0 minutes and <1.0, and category 4: ≥6.0 minutes and ≥1.0) on adenoma detection rate. Cecum intubation was obtained in 367 patients (99.5%). Adenomas were detected in 226 patients (61.2%). From the univariate analysis, age ≥53 years, habitual alcohol intake, colonoscopy attachment (+), and observation time with observation time/intubation time ratio categories 3 and 4 were determined as significant factors for adenoma detection rate. From the logistic regression analysis, age ≥ 53 years (odds ratio: 4.86, 95% CI: 2.25-10.52), habitual alcohol intake (odds ratio: 2.26, 95% CI: 1.33-3.82), category 3 (odds ratio: 3.66, 95% CI: 1.81-7.45), and category 4 (odds ratio: 5.60, 95% CI: 2.92-10.73) were significant factors for adenoma detection rate. We propose the observation time with observation time/intubation time ratio combined benchmark (with categories' thresholds based on observation time >6 minutes and scope withdrawal time exceeding intubation time [observation time/intubation time ratio > 1]) as a novel colonoscopy quality indicator. These findings represent an important educational message for endoscopists.

S440 Impact of Artificial Intelligence on Colorectal Adenoma Detection in High-Risk Colonoscopy: Initial Experience at a Safety-Net Hospital

S440 Impact of Artificial Intelligence on Colorectal Adenoma Detection in High-Risk Colonoscopy: Initial Experience at a Safety-Net Hospital

The incremental yield of adenoma detection with I-Scan versus high-definition white light colonoscopy-a systematic review and meta-analysis of randomized studies.

The incremental yield of I-Scan virtual chromoendoscopy compared to high-definition white light endoscopy (HD-WLE) in detection of colorectal adenomas has not been thoroughly elucidated. A systematic search from inception to April 2023 was conducted to identify randomized controlled trials (RCTs) comparing I-Scan to HD-WLE for detection of adenomas. A random effects model was used to compute risk difference (RD) with corresponding 95% confidence intervals in adenoma detection rate (ADR). Influence analysis was done to assess robustness of findings. The number needed to diagnose was computed. Heterogeneity was assessed using the I2 statistic and explored further by subgroup analyses defined a priori. Certainty in effect estimates was assessed using the GRADE approach. We identified four studies (I-Scan n = 730, HD-WLE n = 765). I-Scan increased adenoma detection by 9% (risk difference (RD), 0.09; 0.04, 0.14; I2 02%; certainty, low). Influence analysis revealed that the gain in yield remained statistically significant with exclusion of all but one study. The number needed to capture one additional adenomatous polyp with I-Scan use was 11.2. I-Scan 1 use was associated with a statistically significant gain in ADR, whereas no significant difference in ADR was noted with I-Scan use on subgroup analysis. In conclusion, I-Scan increases the yield of adenoma detection by 9% compared to HD-WLE, with low certainty in the estimate of this effect. Data on the gain in yield of detecting large polyps, sessile serrated lesions, and on the impact of formally training endoscopists and trainees in I-Scan use and similar technology on adenoma detection rate are needed.

Fibroblast Activation Protein-α (FAP) Identifies Stromal Invasion in Colorectal Neoplasia.

The increasing detection of colorectal adenomas and early adenocarcinomas (ADCs) in the context of nationwide screening programs has led to a significant increase in the incidence of inconclusive diagnoses in which histopathologic analysis of endoscopic biopsies does not allow pathologists to provide a reliable diagnosis of stromal invasion. The objective of this study was to analyze the discriminative capacity of the immunohistochemical expression of fibroblast activation protein-α (FAP) in distinguishing colorectal adenomas with low-grade dysplasia (LGD) and high-grade dysplasia (HGD) from invasive intestinal-type ADCs. The study analyzed the first endoscopic biopsies from a series of patients classified as inconclusive or conclusive for stromal invasion based on the pathologic report. In total, 30 ADCs, 52 HGDs, and 15 LGDs were included in the study. FAP expression was detected in 23/30 ADCs and was negative in all adenomas with either LGD or HGD features (100% specificity and 76.7% sensitivity, area under the curve=0.883, CI=0.79-0.98). Considering these findings, we conclude that FAP is a potentially useful tool for helping pathologists identify invasive lesions in colorectal endoscopic biopsies, avoiding unnecessary biopsy repetitions.

Influence of Sedated Endoscopy on Colorectal Adenoma Detection Rate: A Multicenter Study

Influence of Sedated Endoscopy on Colorectal Adenoma Detection Rate: A Multicenter Study

P-400 Validation study of a high-performance whole-blood assay for the detection of colorectal advanced adenomas in average risk population

P-400 Validation study of a high-performance whole-blood assay for the detection of colorectal advanced adenomas in average risk population

A 5-hydroxymethylcytosine-based noninvasive model for ultrasensitive early detection of colorectal advanced adenoma and adenocarcinoma: The METHOD-2 study.

3042 Background: Detection of colorectal tumors at a time when there are more treatment options is associated with better outcomes. This prospective case-control study (NCT03676075) assessed the performance of 5-hydroxymethycytosine (5hmC) biomarkers in circulating cell-free DNA (cfDNA) to detect advanced colorectal adenomas (ADA) or adenocarcinomas (CRC). Methods: This multi-center study enrolled 2,576 participants, including patients with newly diagnosed CRC (n=1,074), ADA (n=356), other solid tumors (n=80), and healthy individuals (HEA) (n=1,066), followed by genome-wide 5hmC profiling using the 5hmC-Seal, a highly sensitive chemical labeling approach. A weighted diagnostic model for CRC (stage I-III) and ADA was developed using the elastic net regularization in a training set of age-, sex-, region-matched samples and validated in independent samples. Results: Distribution of 5hmC in cfDNA reflected gene regulatory relevance and tissue of origin. In an independent validation set of 482 samples, a 96-gene model trained in stage I-III CRC, ADA, and HEA achieved an AUC (area under the curve) of 92.6% (95% CI [confidence interval], 90.7-94.5%) for distinguishing CRC from HEA, regardless of primary location or mutation. This model also showed high capacity for distinguishing ADA from HEA with an AUC of 87.9% as well as cancer-type specificity. Model performance was further confirmed in samples from multiple centers. Functionally, differential 5hmC features associated with CRC and ADA demonstrated relevance to CRC biology, including pathways such as calcium and MAPK signaling. Conclusions: Genome-wide mapping of 5hmC in cfDNA shows promise as a highly sensitive and specific approach to be integrated in a screening program for improving early detection of CRC and high-risk ADA. Clinical trial information: NCT03676075 .

Computer-aided detection in real-world colonoscopy: enhancing detection or offering false hope?

Colorectal cancer stands as the second leading cause of cancer-related deaths worldwide, posing an important global health challenge. Screening colonoscopy with removal of neoplastic lesions has been recognised as one of the most effective methods of preventing colorectal cancer. 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 Crossref PubMed Scopus (2095) Google Scholar Adenoma detection rate (ADR) serves as a crucial quality indicator in colonoscopy, as it is inversely associated with post-colonoscopy (interval) colorectal cancer. 2 Kaminski MF Regula J Kraszewska E et al. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010; 362: 1795-1803 Crossref PubMed Scopus (1431) Google Scholar However, it is estimated that around a quarter of colorectal neoplasms are missed during a single colonoscopy procedure. 3 van Rijn JC Reitsma JB Stoker J Bossuyt PM van Deventer SJ Dekker E Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol. 2006; 101: 343-350 Crossref PubMed Scopus (1056) Google Scholar To address this issue, computer-aided detection (CADe) systems using artificial intelligence (AI) have emerged as promising tools that allow increased detection of colorectal neoplastic lesions, thus enhancing the overall effectiveness of colonoscopy. 4 Misawa M Kudo SE Mori Y et al. Current status and future perspective on artificial intelligence for lower endoscopy. Dig Endosc. 2021; 33: 273-284 Crossref PubMed Scopus (16) Google Scholar Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trialOur findings support the benefits of CADe, even in a non-academic centre. Systematic use of CADe in routine colonoscopy should be considered. Full-Text PDF

Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial

Artificial intelligence systems have been developed to improve polyp detection. We aimed to evaluate the effect of real-time computer-aided detection (CADe) on the adenoma detection rate (ADR) in routine colonoscopy. This single-centre randomised controlled trial (COLO-GENIUS) was done at the Digestive Endoscopy Unit, Pôle Digestif Paris-Bercy, Clinique Paris-Bercy, Charenton-le-Pont, France. All consecutive individuals aged 18 years or older who were scheduled for a total colonoscopy and had an American Society of Anesthesiologists score of 1-3 were screened for inclusion. After the caecum was reached and the colonic preparation was appropriate, eligible participants were randomly assigned (1:1; computer-generated random numbers list) to either standard colonoscopy or CADe-assisted colonoscopy (GI Genius 2.0.2; Medtronic). Participants and cytopathologists were masked to study assignment, whereas endoscopists were not. The primary outcome was ADR, which was assessed in the modified intention-to-treat population (all randomly assigned participants except those with misplaced consent forms). Safety was analysed in all included patients. According to statistical calculations, 20 endoscopists from the Clinique Paris-Bercy had to include approximately 2100 participants with 1:1 randomisation. The trial is complete and registered with ClinicalTrials.gov, NCT04440865. Between May 1, 2021, and May 1, 2022, 2592 participants were assessed for eligibility, of whom 2039 were randomly assigned to standard colonoscopy (n=1026) or CADe-assisted colonoscopy (n=1013). 14 participants in the standard group and ten participants in the CADe group were then excluded due to misplaced consent forms, leaving 2015 participants (979 [48·6%] men and 1036 [51·4%] women) in the modified intention-to-treat analysis. ADR was 33·7% (341 of 1012 colonoscopies) in the standard group and 37·5% (376 of 1003 colonoscopies) in the CADe group (estimated mean absolute difference 4·1 percentage points [95% CI 0·0-8·1]; p=0·051). One bleeding event without deglobulisation occurred in the CADe group after a large (>2 cm) polyp resection and resolved after a haemostasis clip was placed during a second colonoscopy. Our findings support the benefits of CADe, even in a non-academic centre. Systematic use of CADe in routine colonoscopy should be considered. None.

Efficacy of image-enhanced endoscopy for colorectal adenoma detection: A multicenter, randomized trial.

Improved adenoma detection at colonoscopy has decreased the risk of developing colorectal cancer. However, whether image-enhanced endoscopy (IEE) further improves the adenoma detection rate (ADR) is controversial. To compare IEE with white-light imaging (WLI) endoscopy for the detection and identification of colorectal adenoma. This was a multicenter, randomized, controlled trial. Participants were enrolled between September 2019 to April 2021 from 4 hospital in China. Patients were randomly assigned to an IEE group with WLI on entry and IEE on withdrawal (n = 2113) or a WLI group with WLI on both entry and withdrawal (n = 2098). The primary outcome was the ADR. The secondary endpoints were the polyp detection rate (PDR), adenomas per colonoscopy, adenomas per positive colonoscopy, and factors related to adenoma detection. A total of 4211 patients (966 adenomas) were included in the analysis (mean age, 56.7 years, 47.1% male). There were 2113 patients (508 adenomas) in the IEE group and 2098 patients (458 adenomas) in the WLI group. The ADR in two group were not significantly different [24.0% vs 21.8%, 1.10, 95% confidence interval (CI): 0.99-1.23, P = 0.09]. The PDR was higher with IEE group (41.7%) than with WLI group (36.1%, 1.16, 95%CI: 1.07-1.25, P = 0.01). Differences in mean withdrawal time (7.90 ± 3.42 min vs 7.85 ± 3.47 min, P = 0.30) and adenomas per colonoscopy (0.33 ± 0.68 vs 0.28 ± 0.62, P = 0.06) were not significant. Subgroup analysis found that with narrow-band imaging (NBI), between-group differences in the ADR, were not significant (23.7% vs 21.8%, 1.09, 95%CI: 0.97-1.22, P = 0.15), but were greater with linked color imaging (30.9% vs 21.8%, 1.42, 95%CI: 1.04-1.93, P = 0.04). the second-generation NBI (2G-NBI) had an advantage of ADR than both WLI and the first-generation NBI (27.0% vs 21.8%, P = 0.01; 27.0% vs 21.2.0%, P = 0.01). This prospective study confirmed that, among Chinese, IEE didn't increase the ADR compared with WLI, but 2G-NBI increase the ADR.