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The editorial discusses the effectiveness of artificial intelligence (AI) in improving colonoscopy quality for colorectal cancer (CRC) screening. AI, through computer-aided detection (CADe) and characterization (CADx), has shown promise in increasing adenoma detection rates (ADR) and polyp detection rates (PDR). However, there are limitations to AI implementation, such as the need for extensive training data and potential increased procedure time. While some studies have shown significant improvements in colonoscopy markers with AI, others have reported mixed results, indicating the need for further research and consideration of confounding factors before widespread adoption of AI in healthcare. [Extracted from the article]

Objectives: There have been significant advances in the management of large (≥20 mm) laterally spreading tumors (LSTs) or nonpedunculated colorectal polyps; however, there is a lack of clear consensus on the management of these lesions with significant geographic variability especially between Eastern and Western paradigms. We aimed to provide an international consensus to better guide management and attempt to homogenize practices. Methods: Two experts in interventional endoscopy spearheaded an evidence‐based Delphi study on behalf of the World Endoscopy Organization Colorectal Cancer Screening Committee. A steering committee comprising six members devised 51 statements, and 43 experts from 18 countries on six continents participated in a three‐round voting process. The Grading of Recommendations, Assessment, Development and Evaluations tool was used to assess evidence quality and recommendation strength. Consensus was defined as ≥80% agreement (strongly agree or agree) on a 5‐point Likert scale. Results: Forty‐two statements reached consensus after three rounds of voting. Recommendations included: three statements on training and competency; 10 statements on preresection evaluation, including optical diagnosis, classification, and staging of LSTs; 14 statements on endoscopic resection indications and technique, including statements on en bloc and piecemeal resection decision‐making; seven statements on postresection evaluation; and eight statements on postresection care. Conclusions: An international expert consensus based on the current available evidence has been developed to guide the evaluation, resection, and follow‐up of LSTs. This may provide guiding principles for the global management of these lesions and standardize current practices. [ABSTRACT FROM AUTHOR]

Simple Summary: Lynch syndrome (LS) is an autosomal dominant disorder linked to increased risks of colorectal and endometrial cancers, caused by pathogenic variants in MMR genes (MLH1, MSH2, MSH6). In a cohort of 42,828 participants from the Taiwan Precision Medicine Initiative (TPMI), 89 individuals carried MMR gene variants: 25% MLH1, 53% MSH2, and 22% MSH6, with a prevalence of 1 in 481. Cancer incidence rates were 40.9% for MLH1, 29.8% for MSH2, and 40% for MSH6 carriers. Colonoscopy screening revealed no significant differences in polyp prevalence compared to controls. The study underscores the need for improved LS diagnosis and surveillance in the Taiwanese population. Lynch syndrome (LS) is an autosomal dominant disorder characterized by increased risks of colorectal and endometrial cancers. LS is defined by pathogenic variants in mismatch repair (MMR) genes, including MLH1, MSH2, and MSH6. Data on the prevalence and associated cancer risks of LS in the Han Chinese population remain limited. In this study, using a broad biobank approach through the Taiwan Precision Medicine Initiative (TPMI), we identified LS-associated MMR gene variants within a cohort of 42,828 participants from a Taiwanese medical center. A total of 89 individuals were found to carry pathogenic MMR variants: MLH1 (n = 22, 25%), MSH2 (n = 47, 53%), and MSH6 (n = 20, 22%). The overall prevalence of MMR variants was calculated, and cancer incidence rates among carriers were determined. The prevalence of MMR variants in the study population was 1 in 481. The distribution of MLH1, MSH2, and MSH6 variants were 24.7%, 52.8%, and 22.5%, respectively. Cumulative cancer incidence rates of carriers were 40.9% for MLH1 carriers, 29.8% for MSH2, and 40% for MSH6. Among the 19 individuals who underwent colonoscopy screening, the prevalence of polyps was similar to that of the control group (adenoma detection rate: 32% vs 26%, p = 0.585). A meticulous analysis of the detected polyps in seven participants, considering factors such as location, size, morphology, and pathological features, showed no significant differences from controls. A significant cancer risk is associated with LS-related MMR variants in the Taiwanese population. The apparent under diagnosis of LS highlights the urgent need for enhanced surveillance and genetic counseling in this demographic. Our findings suggest that adjustments in the current screening protocols may be warranted to better identify and manage at-risk individuals. [ABSTRACT FROM AUTHOR]

Simple Summary: This study reports the results of genetic testing to identify germline variants in the main genes (APC, BMPR1A, MUTYH, PTEN, SMAD4, STK11) associated with hereditary polyposis syndromes in 75 index cases with colorectal polyps and a personal/family history of cancer that had been referred to genetic counseling at the Medical Genetics Unit of the National Institute of Gastroenterology "Saverio de Bellis", Castellana Grotte, Bari, Italy. In the screened patients, some of which did not meet the recommended eligibility criteria of current National Comprehensive Cancer Network (NCCN) guidelines for genetic testing, we identified 14 pathogenic variants and 6 variants of uncertain significance. Of note, by combining the results of multigene panel tests with the evaluation of patients' clinical phenotype and family history, we were able to confirm the diagnosis of hereditary polyposis syndrome for pathogenic variant carriers and assign them to specific clinical surveillance and management programs. Background: Hereditary polyposis syndromes are clinically and genetically heterogeneous conditions associated with increased colorectal cancer risk. They are classified based on polyp histology, inheritance mode, causal gene, and colonic and extracolonic manifestations. Their diagnosis is challenging due to overlapping and heterogeneous clinical presentations. Methods: A multigene next-generation sequencing panel was used to screen 75 index cases with colorectal polyps and a personal/family history of cancer for key hereditary polyposis-associated genes (APC, BMPR1A, MUTYH, PTEN, SMAD4, and STK11) in order to identify germline genetic variants. Results: In the screened index cases, we found 14 pathogenic variants involving APC, MUTYH, SMAD4, and STK11 and 6 variants of uncertain significance involving APC, BMPR1A, and SMAD4. In this cohort, four patients not fulfilling the recommended eligibility criteria of current National Comprehensive Cancer Network (NCCN) guidelines for genetic testing were molecularly diagnosed with a hereditary polyposis syndrome. Conclusions: Our findings indicate that stringent NCCN eligibility criteria for molecular screening may lead to missing some of the patients affected by hereditary polyposis syndromes. This highlights the need for a careful evaluation of patients' clinical manifestations, polyp number, age of polyp onset, and family history to select appropriate candidates for molecular diagnosis of these conditions. [ABSTRACT FROM AUTHOR]

Serrated polyposis syndrome (SPS) is characterized by the development of multiple colorectal serrated polyps and increased predisposition to colorectal cancer (CRC). However, the molecular basis of SPS, especially in cases presenting family history of SPS and/or polyps and/or CRC in first-degree relatives (SPS-FHP/CRC), is still poorly understood. In a previous study, we proposed the existence of two molecular entities amongst SPS-FHP/CRC families, proximal/whole-colon and distal SPS-FHP/CRC, according to the preferential location of lesions and somatic events involved in tumor initiation. In the present study, we aimed to investigate these distinct subgroups of SPS patients in a larger cohort at the germline level and to identify the genetic defects underlying an inherited susceptibility for these two entities. Next-generation sequencing was performed using multigene analysis with a custom-designed panel in a Miseq platform in 60 SPS patients (with and without/unknown FHP/CRC). We found germline pathogenic variants in 6/60 patients (ATM, FANCM, MITF, RAD50, RAD51C, and RNF43). We also found variants of unknown significance (VUS), with prediction of probable damaging effect in 23/60 patients (ATM, BLM, BRCA1, FAN1, ERCC2, ERCC3, FANCA, FANCD2, FANCL, MSH2, MSH6, NTHL1, PALB2, PDGFRA, PMS2, PTCH1, RAD51C, RAD51D, RECQL4, TSC2, WRN, and XRCC5 genes). Most variants were detected in gene coding for proteins of the Fanconi Anemia (FA) pathway involved in the DNA Interstrand-Cross Link repair (ICLR). Notably, variants in ICLR genes were significantly more frequent in the proximal/whole-colon than in the distal subgroup [15/44 (34%) vs 1/16 (6%), p = 0.025], as opposed to the non-ICLR genes that were slightly more frequent in the distal group [8/44 (18%) vs. 5/16 (31%), p > 0.05]. Germline defects in the DNA-ICLR genes may contribute to increased serrated colorectal polyps/carcinoma risk in SPS patients, particularly in proximal/whole-colon SPS. The inclusion of DNA-ICLR genes in the genetic diagnosis of SPS patients, mainly in those with proximal/whole-colon lesions, should be considered and validated by other studies. In addition, patients with germline defects in the DNA-ICLR genes may be more sensitive to treatment with platinum-based therapeutics, which can have implications in the clinical management of these patients. [ABSTRACT FROM AUTHOR]

Colorectal cancer is a leading cause of global mortality and presents a significant barrier to improving life expectancy. The primary objective of this study was to discern a unique differentially expressed gene (DEG) that exhibits a strong association with colorectal cancer. By achieving this goal, the research aims to contribute valuable insights to the field of translational medicine. We performed analysis of colorectal cancer microarray and the TCGA colon adenoma carcinoma (COAD) datasets to identify DEGs associated with COAD and common DEGs were selected. Furthermore, a pan-cancer analysis encompassing 33 different cancer types was performed to identify differential genes significantly expressed only in COAD. Then, comprehensively in-silico analysis including gene set enrichment analysis, constructing Protein–Protein interaction, co-expression, and competing endogenous RNA (ceRNA) networks, investigating the correlation between tumor-immune signatures in distinct tumor microenvironment and also the potential interactions between the identified gene and various drugs was executed. Further, the candidate gene was experimentally validated in tumoral colorectal tissues and colorectal adenomatous polyps by qRael-Time PCR. GUCA2A emerged as a significant DEG specific to colorectal cancer (|log2FC|> 1 and adjusted q-value < 0.05). Importantly, GUCA2A exhibited excellent diagnostic performance for COAD, with a 99.6% and 78% area under the curve (AUC) based on TCGA-COAD and colon cancer patients. In addition, GUCA2A expression in adenomatous polyps equal to or larger than 5 mm was significantly lower compared to smaller than 5 mm. Moreover, low expression of GUCA2A significantly impacted overall patient survival. Significant correlations were observed between tumor-immune signatures and GUCA2A expression. The ceRNA constructed included GUCA2A, 8 shared miRNAs, and 61 circRNAs. This study identifies GUCA2A as a promising prognostic and diagnostic biomarker for colorectal cancer. Further investigations are warranted to explore the potential of GUCA2A as a therapeutic biomarker. [ABSTRACT FROM AUTHOR]

Background: In standard colonoscopic examinations, some polyps may be missed during the withdrawal phase. Re-examination of the right colon can improve the adenoma detection rate (ADR). However, the effectiveness of applying this re-examination strategy to the entire colon remains unknown. We investigated whether re-examination could increase the detection rate of polyps and adenomas throughout the colon. Methods: A randomized, controlled, single-center trial (NCT03268200) was conducted in a university hospital. Patients aged 45–75 years were randomly assigned to either the study or control group. For patients in the control group, observation and polypectomy were performed once using the standard colonoscopy method. For patients in the study group, polypectomy was repeated twice during the withdrawal phase after the initial insertion of the colonoscope. These examinations were performed in the right transverse and left colons. The primary endpoints were the polyp detection rate (PDR) and ADR, defined as the proportion of patients with ≥ 1 polyp and ≥ 1 adenoma, respectively. Results: Overall, 406 patients were enrolled (study group, n = 210; control group, n = 196) and analyzed. Generally, PDRs and ADRs were similar between the study (withdrawal 1 + 2) and control groups (withdrawal 1), except for the right colon. However, the second withdrawal review increased number of polyps and adenomas in the overall, right, mid, and left colon, respectively. Conclusion: The results of this trial indicated that re-examination of the entire colon during colonoscopy could be beneficial for detecting concealed polyps in patients at risk of interval cancer. [ABSTRACT FROM AUTHOR]

Serrated polyposis syndrome (SPS) presents with multiple sessile serrated lesions (SSL) in the large intestine and confers increased colorectal cancer (CRC) risk. However, the etiology of SPS is not known. SSL-derived organoids have not been previously studied but may help provide insights into SPS pathogenesis and identify novel biomarkers and chemopreventive strategies. This study examined effects of EGFR and COX pathway inhibition in organoid cultures derived from uninvolved colon and polyps of SPS patients. We also compared with organoids representing the hereditary gastrointestinal syndromes, Familial Adenomatous Polyposis (FAP) and Lynch syndrome (LS). Eighteen total organoid colon cultures were generated from uninvolved colon and polyps in SPS, FAP, LS, and non-syndromic screening colonoscopy patients. BRAF and KRAS mutation status was determined for each culture. Erlotinib (EGFR inhibitor) and sulindac (COX inhibitor) were applied individually and in combination. A 44-target gene custom mRNA panel (including WNT and COX pathway genes) and a 798-gene microRNA gene panel were used to quantitate organoid RNA expression by NanoString analysis. Erlotinib treatment significantly decreased levels of mRNAs associated with WNT and MAPK kinase signaling in organoids from uninvolved colon from all four patient categories and from all SSL and adenomatous polyps. Sulindac did not change the mRNA profile in any culture. Our findings suggest that EGFR inhibitors may contribute to the chemopreventive treatment of SSLs. These findings may also facilitate clinical trial design using these agents in SPS patients. Differentially expressed genes identified in our study (MYC, FOSL1, EGR1, IL33, LGR5 and FOXQ1) may be used to identify other new molecular targets for chemoprevention of SSLs. [ABSTRACT FROM AUTHOR]

Background: Independent use of artificial intelligence with computer-aided detection (CADe) and Endocuff Vision (ECV) has demonstrated enhanced adenoma detection rates (ADRs). Objective: Our pilot study aimed to define the necessary participant number for future randomized controlled trials (RCTs) by comparing the ADR of combined CADe + ECV against CADe alone and standard colonoscopy. Design: This single-center pilot study retrospectively analyzed a prospectively maintained database, where patients underwent screening colonoscopies sequentially by standard method, CADe alone, and then CADe + ECV. Method: The allocation of the technique depended on the study period. Patients were randomly selected from the cohort to form three groups of 30 patients, with stratification based on factors influencing the ADR. The primary endpoint was the ADR. Results: From April to June 2021, 244 patients underwent screening colonoscopy. 198 were eligible, and after randomization, 90 patients were included across three groups (colonoscopy n = 30, CADe n = 30, CADe + ECV = 30). The ADR was higher in the CADe + ECV group compared to the CADe and colonoscopy groups: 60% versus 40%, and 30%, respectively (p = 0.03). The number of polyps ⩽3 mm detected was greater in the CADe + ECV group (n = 23) versus CADe (n = 7) and colonoscopy (n = 12) groups, respectively (p = 0.03). CADe + ECV identified more polyps in the cecum/right colon (n = 26) compared to CADe (n = 18) and colonoscopy (n = 12) groups (p = 0.04), and in the left colon/sigmoid (n = 14) compared to CADe (n = 5) and colonoscopy (n = 2) (p = 0.02). Conclusion: These findings underscore the synergic potential of combining CADe with ECV to enhance ADR and enable us to perform sample size calculations for future RCTs. Registration: Clinical Trials number: NCT05080088. Registration 06/06/2021. Plain language summary: Improving polyp detection during colonoscopy: comparing three techniques Colorectal cancer is a leading cause of cancer-related deaths, and early detection of adenomas (precancerous polyps) during colonoscopy is crucial in preventing this disease. Our study aimed to evaluate the effectiveness of three different colonoscopy techniques in detecting adenomas: standard colonoscopy, colonoscopy with computer-aided detection (CADe), and colonoscopy combining CADe with Endocuff Vision (ECV). We conducted a pilot study with 90 patients, divided into three groups of 30 each. One group underwent standard colonoscopy, another had colonoscopy with CADe, and the third group experienced colonoscopy with both CADe and ECV. Our results showed that the combined CADe + ECV technique detected the highest number of adenomas, significantly outperforming both standard colonoscopy and CADe alone. Specifically, 60% of patients in the CADe + ECV group had adenomas detected, compared to 40% in the CADe group and 30% in the standard colonoscopy group. This study highlights the potential benefits of using advanced technologies like CADe and ECV together to improve adenoma detection rates during colonoscopy, ultimately aiding in better prevention of colorectal cancer. Future larger-scale studies are needed to confirm these findings and refine the use of these technologies in clinical practice. [ABSTRACT FROM AUTHOR]

Colorectal polyps are structural abnormalities of the gastrointestinal tract that can potentially become cancerous in some cases. The study introduces a novel framework for colorectal polyp segmentation named the Multi-Scale and Multi-Path Cascaded Convolution Network (MMCC-Net), aimed at addressing the limitations of existing models, such as inadequate spatial dependence representation and the absence of multi-level feature integration during the decoding stage by integrating multi-scale and multi-path cascaded convolutional techniques and enhances feature aggregation through dual attention modules, skip connections, and a feature enhancer. MMCC-Net achieves superior performance in identifying polyp areas at the pixel level. The Proposed MMCC-Net was tested across six public datasets and compared against eight SOTA models to demonstrate its efficiency in polyp segmentation. The MMCC-Net's performance shows Dice scores with confidence interval ranging between 77.43 ± 0.12, (77.08, 77.56) and 94.45 ± 0.12, (94.19, 94.71) and Mean Intersection over Union (MIoU) scores with confidence interval ranging from 72.71 ± 0.19, (72.20, 73.00) to 90.16 ± 0.16, (89.69, 90.53) on the six databases. These results highlight the model's potential as a powerful tool for accurate and efficient polyp segmentation, contributing to early detection and prevention strategies in colorectal cancer. [ABSTRACT FROM AUTHOR]

Background: Colorectal neoplasia and diverticulosis are common findings on colonoscopies. While adenomas are precursors to colorectal cancer, diverticulosis is usually asymptomatic but can lead to diverticulitis. Despite their prevalence and coexistence, the relationship between these conditions remains unclear. This study investigates whether diverticulosis is associated with adenomas, considering shared risk factors and potential inflammation-driven mechanisms. Methods: We examined 6154 asymptomatic individuals undergoing colorectal cancer screening in Austria. Diverticulosis and colorectal neoplasia were documented during screenings based on macroscopic definitions. Advanced neoplasia was defined as polyps >1 cm or high-grade dysplasia. Associations between diverticulosis and neoplastic findings were assessed using univariate and multivariable logistic regression models. Results: Although the overall incidence of any polypoid lesion was higher in the diverticulosis group (37% vs. 30%), statistical analysis revealed a comparable rate of advanced neoplasms in both groups. Importantly, no significant link between diverticulosis and advanced neoplasms was found (OR 1.125; 95% CI: 0.933 to 1.357, p = 0.218) even after adjusting for confounding factors. In a univariate analysis, a statistically significant association between diverticulosis and the presence of any colorectal polyps was identified (OR 1.388; 95% CI: 1.244–1.549, p < 0.0001). However, after adjusting for confounding factors in model 2 (OR 1.065, 95% CI: 0.942 to 1.204, p = 0.314) and model 3 (OR 1.071, 95% CI: 0.925 to 1.239, p = 0.360), this effect was also not statistically significant. Conclusions: Patients with diverticulosis share demographic and clinical features with those at risk of colorectal neoplasia, such as older age, male gender, and higher cardiometabolic risk. However, diverticulosis does not independently increase the risk of advanced colorectal neoplasia or unspecified polypoid lesions. [ABSTRACT FROM AUTHOR]

Colonoscopy is widely recognized as the most effective method for the detection of colon polyps, which is crucial for early screening of colorectal cancer. Polyp identification and segmentation in colonoscopy images require specialized medical knowledge and are often labor-intensive and expensive. Deep learning provides an intelligent and efficient approach for polyp segmentation. However, the variability in polyp size and the heterogeneity of polyp boundaries and interiors pose challenges for accurate segmentation. Currently, Transformer-based methods have become a mainstream trend for polyp segmentation. However, these methods tend to overlook local details due to the inherent characteristics of Transformer, leading to inferior results. Moreover, the computational burden brought by self-attention mechanisms hinders the practical application of these models. To address these issues, we propose a novel CNN-Transformer hybrid model for polyp segmentation (CTHP). CTHP combines the strengths of CNN, which excels at modeling local information, and Transformer, which excels at modeling global semantics, to enhance segmentation accuracy. We transform the self-attention computation over the entire feature map into the width and height directions, significantly improving computational efficiency. Additionally, we design a new information propagation module and introduce additional positional bias coefficients during the attention computation process, which reduces the dispersal of information introduced by deep and mixed feature fusion in the Transformer. Extensive experimental results demonstrate that our proposed model achieves state-of-the-art performance on multiple benchmark datasets for polyp segmentation. Furthermore, cross-domain generalization experiments show that our model exhibits excellent generalization performance. [ABSTRACT FROM AUTHOR]

Aim: The aim of this study was to investigate the prevalence of Helicobacter pylori (HP) in colorectal polyps and whether this infection differs according to neoplastic and dysplastic polyp types. Materials and Methods: A total of 593 patients (mean age 59.5±12.0), 279 females and 314 males, who underwent colonoscopy and endoscopy at Erzurum Training and Research Hospital were included in the study. The patients were grouped into two groups with endoscopic findings. These groups are patients with colorectal polyps (n=330) and those with normal colonoscopy results (n=263). The presence of H. Pylori infection was diagnosed with endoscopic biopsy. Hematological parameters were analyzed. Results: H. Pylori positivity was detected at a rate of 59.1% in patients with colorectal polyps, while this rate was found to be 21.3% in the normal colonoscopy group (p<0.001). In patients with H. Pylori-positive colorectal polyps, 92.3% of the polyps were neoplastic polyps, and 7.7% were non-neoplastic polyps. The frequency of dysplasia was 66.2% in the H. Pylori positive group and 24.4% in the H. Pylori negative group. H. Pylori positivity increases the risk of neoplastic polyps by 3.2 times (OR=3.2, CI=1.6-6.4, p<0.001) and dysplasia by six times (OR=6.0, CI=3.6-9.8, p<0.001). Conclusion: Our study demonstrated that H. Pylori infection is strongly associated with colorectal polyps, especially neoplastic and dysplastic polyps. The findings suggest that H. Pylori infection might be a possible risk factor for the colorectal cancer development and that H. Pylori eradication can be considered in cancer prevention strategies. [ABSTRACT FROM AUTHOR]

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Background: Artificial intelligence (AI) has emerged as a promising tool for detecting and characterizing colorectal polyps during colonoscopy, offering potential enhancements in traditional colonoscopy procedures to improve outcomes in patients with inadequate bowel preparation. Aims: This study aimed to assess the impact of an AI tool on computer-aided detection (CADe) assistance during colonoscopy in this population. Methods: This case–control study utilized propensity score matching (PSM) for age, sex, race, and colonoscopy indication to analyze a database of patients who underwent colonoscopy at a single tertiary referral center between 2017 and 2023. Patients were excluded if the procedure was incomplete or aborted owing to poor preparation. The patients were categorized based on the use of AI during colonoscopy. Data on patient demographics and colonoscopy performance metrics were collected. Univariate and multivariate logistic regression models were used to compare the groups. Results: After PSM patients with adequately prepped colonoscopies (n = 1466), the likelihood of detecting hyperplastic polyps (OR = 2.0, 95%CI 1.7–2.5, p < 0.001), adenomas (OR = 1.47, 95%CI 1.19–1.81, p < 0.001), and sessile serrated polyps (OR = 1.90, 95%CI 1.20–3.03, p = 0.007) significantly increased with the inclusion of CADe. In inadequately prepped patients (n = 160), CADe exhibited a more pronounced impact on the polyp detection rate (OR = 4.34, 95%CI 1.6–6.16, p = 0.049) and adenomas (OR = 2.9, 95%CI 2.20–8.57, p < 0.001), with a marginal increase in withdrawal and procedure times. Conclusion: This study highlights the significant improvement in detecting diminutive polyps (< 5 mm) and sessile polyps using CADe, although notably, this benefit was only seen in patients with adequate bowel preparation. In conclusion, the integration of AI in colonoscopy, driven by artificial intelligence, promises to significantly enhance lesion detection and diagnosis, revolutionize the procedure's effectiveness, and improve patient outcomes. [ABSTRACT FROM AUTHOR]

Background: The Paris classification categorises colorectal polyp morphology. Interobserver agreement for Paris classification has been assessed at optical colonoscopy (OC) but not CT colonography (CTC). We aimed to determine the following: (1) interobserver agreement for the Paris classification using CTC between radiologists; (2) if radiologist experience influenced classification, gross polyp morphology, or polyp size; and (3) the extent to which radiologist classifications agreed with (a) colonoscopy and (b) a combined reference standard. Methods: Following ethical approval for this non-randomised prospective cohort study, seven radiologists from three hospitals classified 52 colonic polyps using the Paris system. We calculated interobserver agreement using Fleiss kappa and mean pairwise agreement (MPA). Absolute agreement was calculated between radiologists; between CTC and OC; and between CTC and a combined reference standard using all available imaging, colonoscopic, and histopathological data. Results: Overall interobserver agreement between the seven readers was fair (Fleiss kappa 0.33; 95% CI 0.30–0.37; MPA 49.7%). Readers with < 1500 CTC experience had higher interobserver agreement (0.42 (95% CI 0.35–0.48) vs. 0.33 (95% CI 0.25–0.42)) and MPA (69.2% vs 50.6%) than readers with ≥ 1500 experience. There was substantial overall agreement for flat vs protuberant polyps (0.62 (95% CI 0.56–0.68)) with a MPA of 87.9%. Agreement between CTC and OC classifications was only 44%, and CTC agreement with the combined reference standard was 56%. Conclusion: Radiologist agreement when using the Paris classification at CT colonography is low, and radiologist classification agrees poorly with colonoscopy. Using the full Paris classification in routine CTC reporting is of questionable value. Clinical relevance statement: Interobserver agreement for radiologists using the Paris classification to categorise colorectal polyp morphology is only fair; routine use of the full Paris classification at CT colonography is questionable. Key Points: • Overall interobserver agreement for the Paris classification at CT colonography (CTC) was only fair, and lower than for colonoscopy. • Agreement was higher for radiologists with < 1500 CTC experience and for larger polyps. There was substantial agreement when classifying polyps as protuberant vs flat. • Agreement between CTC and colonoscopic polyp classification was low (44%). [ABSTRACT FROM AUTHOR]

Background Missed lesions are common during standard colonoscopy and are correlated with post-colonoscopy colorectal cancer. Contrast-enhanced technologies have recently been developed to improve polyp detection. We aimed to evaluate the impact of linked color imaging (LCI) on the proximal adenoma miss rate in routine colonoscopy. Methods This national, multicenter, tandem, randomized trial compared the outcomes of colonoscopy with white-light imaging (WLI) versus LCI for polyp detection in the right colon. Two consecutive examinations of the right colon (upstream of the hepatic flexure) were made with WLI and LCI by the same operator. First-pass examination by WLI or LCI was randomized 1:1 after cecal intubation. According to statistical calculations, 10 endoscopy units had to include approximately 700 patients. The primary outcome was proximal adenoma miss rate. Secondary outcomes were the proximal miss rates for sessile serrated lesions (SSL), advanced adenomas, and polyps. Results 764 patients were included from 1 January 2020 to 22 December 2022, and 686 patients were randomized (345 WLI first vs. 341 LCI first). Both groups were comparable in terms of demographics and indications. The proximal adenoma miss rate was not significantly higher in the WLI-first group (36.7%) vs. the LCI-first group (31.8%) (estimated mean absolute difference: 4.9% [95%CI –5.2% to 15.0%], P = 0.34). There was also no significant difference in miss rates for SSLs, advanced adenomas, and polyps in the proximal colon. Conclusions In contrast to previous data, this study does not support the benefit of LCI to the proximal adenoma miss rate in routine colonoscopy. [ABSTRACT FROM AUTHOR]

Colorectal polyps, precursors to colorectal cancer (CRC), require precise identification for appropriate diagnosis and therapy. This study aims to investigate the differences in hematological and inflammatory markers, specifically the CALLY index, HALP score, and immuno-inflammatory indexes, between neoplastic and nonneoplastic polyps. A retrospective cross-sectional study was conducted on 758 patients aged 61.0 ± 11.8 who underwent polypectomy between June 2021 and May 2024. Patients with colorectal adenocarcinoma (n = 22) were excluded. The polyps were classified into neoplastic and nonneoplastic categories based on histopathological evaluation. The study compared the CALLY index, HALP score, and various inflammatory indexes between neoplastic and nonneoplastic polyps. Out of 758 polyps analyzed, 514 were neoplastic, and 244 were nonneoplastic. Neoplastic polyps exhibited significantly lower CALLY and HALP scores (p < 0.05) and higher immuno-inflammatory indexes (p < 0.05) compared to nonneoplastic polyps. Dysplasia status, polyp diameter, and sigmoid colon localization were significant factors in determining neoplastic growth potential. No significant differences were observed in polyp localization in the proximal and distal colon segments or in solitary versus multiple polyps. The CALLY and HALP scores and immuno-inflammatory indexes can serve as valuable markers for distinguishing neoplastic from nonneoplastic polyps. These indexes reflect underlying inflammatory and immune responses, highlighting their potential utility in the early detection and risk stratification of colorectal polyps. Integrating these markers into clinical practice may enhance diagnostic accuracy and improve patient management, leading to timely interventions and better outcomes for individuals at risk of CRC. [ABSTRACT FROM AUTHOR]

Background and Aim: Few studies have evaluated the adenoma detection rate (ADR) of colonoscopy with texture and color enhancement imaging (TXI), a novel image‐enhancing technology. This study compares the detection of colorectal polyps using TXI to that using white light imaging (WLI). Methods: This single‐center retrospective study used propensity‐matched scoring based on the patients' baseline characteristics (age, sex, indication, bowel preparation, endoscopist, colonoscope type, and withdrawal time) to compare the results of patients who underwent chromoendoscopy using WLI or TXI at the Toyoshima Endoscopy Clinic. The differences in polyp detection rates and the mean number of detected polyps per colonoscopy were determined between the TXI and WLI groups. Results: After propensity score matching, 1970 patients were enrolled into each imaging modality group. The mean patient age was 57.2 ± 12.5 years, and 44.5% of the cohort were men. The ADR was higher in the TXI group than in the WLI group (55.0% vs 49.4%, odds ratio: 1.25). High‐risk ADR were more common in the TXI group than in the WLI group (17.6% vs 12.8%; OR: 1.45). The mean number of adenomas per colonoscopy (APC) was higher in the TXI group than in the WLI group (1.187 vs 0.943, OR: 1.12). APC with a flat morphology (1.093 vs 0.848, OR: 1.14) and APC of <6 mm (0.992 vs 0.757, OR: 1.16) were higher in the TXI group than in the WLI group. Conclusion: Compared to WLI, TXI improved the ADR in patients who underwent chromoendoscopy based on actual clinical data. [ABSTRACT FROM AUTHOR]

One of the most severe cancers worldwide is Colorectal Cancer (CRC), which has the third-highest incidence of cancer cases and the second-highest rate of cancer mortality. Early diagnosis and treatment are receiving much attention globally due to the increasing incidence and death rates. Colonoscopy is acknowledged as the gold standard for screening CRC. Despite early screening, doctors miss approximately 25% of polyps during a colonoscopy examination because the diagnosis varies from expert to expert. After a few years, this missing polyp may develop into cancer. This study is focused on addressing such diagnostic challenges, aiming to minimize the risk of misdiagnosis and enhance the overall accuracy of diagnostic procedures. Thus, we propose an efficient deep learning method, DeepCPD, combining transformer architecture and Linear Multihead Self-Attention (LMSA) mechanism with data augmentation to classify colonoscopy images into two categories: polyp versus non-polyp and hyperplastic versus adenoma based on the dataset. The experiments are conducted on four benchmark datasets: PolypsSet, CP-CHILD-A, CP-CHILD-B, and Kvasir V2. The proposed model demonstrated superior performance compared to the existing state-of-the-art methods with an accuracy above 98.05%, precision above 97.71%, and recall above 98.10%. Notably, the model exhibited a training time improvement of over 1.2x across all datasets. The strong performance of the recall metric shows the ability of DeepCPD to detect polyps by minimizing the false negative rate. These results indicate that this model can be used effectively to create a diagnostic tool with computer assistance that can be highly helpful to clinicians during the diagnosing process. [ABSTRACT FROM AUTHOR]

Background: Previous research has demonstrated an association between gut microbiota and immune status with the development of several diseases. However, whether these factors contribute to polyps remains unclear. This study aims to use Mendelian randomization (MR) to investigate the causal relationship between gut microbiota and 4 types of polyps (nasal, gallbladder, colon, and gastric polyps), as well as to analyze the mediating role of immune traits. Methods: This study utilized large-scale GWAS meta-analyses of gut microbiota (MiBioGen Consortium), 731 immune traits, and 4 types of polyps (one from the FinnGen Consortium and three from the NBDC Human Database). Univariate MR with the inverse variance weighted (IVW) estimation method was employed as the primary analytical approach. A two-step MR analysis was performed to identify potential mediating immune traits. Additionally, multivariable MR approach based on Bayesian model averaging (MR-BMA) was employed to further prioritize gut microbiota and immune traits associated with polyp development. Results: Based on IVW method in univariate MR analysis, we identified 39 gut microbial taxa and 135 immune traits significantly causally associated with at least one type of polyp. For nasal polyps, 13 microbial taxa and 61 immune traits were causally associated. After false discovery rate (FDR) correction, CD3 on Central Memory CD8+ T cells and CD3 on CD4 regulatory T cells remained significant. MR-BMA identified 4 gut microbial taxa and 4 immune traits as high priority. For gallbladder polyps, 9 microbial taxa and 30 immune traits were causally associated. MR-BMA identified 8 microbial taxa and 6 immune traits as higher importance. For colon polyps, 6 microbial taxa and 21 immune traits were causally associated. MR-BMA identified 4 microbial taxa and 3 immune traits as higher importance. For gastric polyps, 12 microbial taxa and 33 immune traits were causally associated. Actinobacteria remained significant after FDR correction, and MR-BMA identified 7 gut microbial taxa and 6 immune traits as high priority. We identified 16 causal pathways with mediator directions consistent with the direction of gut microbiome-polyp association. Of these, 6 pathways were associated with the mechanism of nasal polyps, 1 with gallbladder polyps, 2 with colon polyps, and 7 with gastric polyps. Conclusions: Our findings shed light on the causal relationships between gut microbiota, immune traits, and polyp development, underscoring the crucial roles of gut microbiota and immune status in polypogenesis. Furthermore, these findings suggest potential applications in polyp prevention, early screening, and the development of effective strategies to reduce polyp risk. [ABSTRACT FROM AUTHOR]

In various countries worldwide, the incidence of colon cancer-related deaths has been on the rise in recent years. Early detection of symptoms and identification of intestinal polyps are crucial for improving the cure rate of colon cancer patients. Automated computer-aided diagnosis (CAD) has emerged as a solution to the low efficiency of traditional methods relying on manual diagnosis by physicians. Deep learning is the latest direction of CAD development and has shown promise for colonoscopic polyp segmentation. In this paper, we present a multi-level encoder-decoder architecture for polyp segmentation based on the Transformer architecture, termed NA-SegFormer. To improve the performance of existing Transformer-based segmentation algorithms for edge segmentation on colon polyps, we propose a patch merging module with a neighbor attention mechanism based on overlap patch merging. Since colon tract polyps vary greatly in size and different datasets have different sample sizes, we used a unified focal loss to solve the problem of category imbalance in colon tract polyp data. To assess the effectiveness of our proposed method, we utilized video capsule endoscopy and typical colonoscopy polyp datasets, as well as a dataset containing surgical equipment. On the datasets Kvasir-SEG, Kvasir-Instrument and KvasirCapsule-SEG, the Dice score of our proposed model reached 94.30%, 94.59% and 82.73%, with an accuracy of 98.26%, 99.02% and 81.84% respectively. The proposed method achieved inference speed with an Frame-per-second (FPS) of 125.01. The results demonstrated that our suggested model effectively segmented polyps better than several well-known and latest models. In addition, the proposed method has advantages in trade-off between inference speed and accuracy, and it will be of great significance to real-time colonoscopic polyp segmentation. The code is available at https://github.com/promisedong/NAFormer. [ABSTRACT FROM AUTHOR]

Background: Data on the prevalence of colonic polyps and adenomas in the Egyptian population are scarce. This study aimed to determine the prevalence of colonic polyps among Egyptian patients aged 50 years and older who underwent colonoscopy for a variety of reasons. Patients and methods: This study is a retrospective one that was conducted with the use of an endoscopic reporting database of patients presenting at Cairo University Hospital. The considered variables were age, gender, clinical presentation, polyps' characteristics, and diagnosis. Polyps were retrieved and sent for histopathological examination. Results: Among 4861 patients whose clinical presentation necessitated colonoscopic examination between 2012 and 2019, 850 consecutive patients aged 50 years and older were enrolled in this study. The median age was 65 ± 9 SD. The male gender was slightly predominant (50.8%). The polyp detection rate was 23.1%, while the adenoma detection rate was 14.7%, and they were mostly encountered on the left side of the colon. By regression analysis, the most important predictors of adenoma were age ≥ 65 years, diabetes, and the presence of a polyp in the right colon. Diabetics and older people (≥ 65 years) had two times increased risk for adenoma, while patients with polyps in the right side of the colon had 30 times increased risk of adenoma. Conclusion: PDR and ADR among the Egyptian population are matched to the target ADR set by the ASGE. We recommend ADR and PDR as key quality indicators of colonoscopy quality. [ABSTRACT FROM AUTHOR]

Polyp segmentation in colorectal images is the most effective and necessary tool for the early detection of colorectal cancer, and deep learning has become popular for efficiently segmenting polyps. The complex morphological characteristics of polyps, such as the unclear boundary between polyps and mucosa, and the lack of training data could cause great difficulties in network fitting. Transformer-based semantic segmentation networks have achieved more promising performance than traditional convolutional neural networks. However, the dispersion of self-attention and the less accurate local feature recognition limit the further development and applications of Transformer-based networks. This paper proposes a novel Stepwise Attention Emphasis module to refocus self-attention for Transformer-based polyp segmentation in colorectal images, where a reverse fuse module is used to better fuse different levels of features. Furthermore, a new decoder network, called the densely smooth fusion decoder, is also proposed to enhance local details and provide more useful information from deep features to shallow features. Experimental comparisons are conducted, and result analysis shows that the proposed network achieves promising performance in both learning and generalization ability on public datasets. [ABSTRACT FROM AUTHOR]

Background and Aims: The resect‐and‐discard strategy for colorectal polyps based on accurate optical diagnosis remains challenges. Our aim was to investigate the feasibility of hyperspectral imaging (HSI) for identifying colorectal polyp properties and diagnosis of colorectal cancer in fresh tissues during colonoscopy. Methods: 144,900 two dimensional images generated from 161 hyperspectral images of colorectal polyp tissues were prospectively obtained from patients undergoing colonoscopy. A residual neural network model was trained with transfer learning to automatically differentiate colorectal polyps, validated by histopathologic diagnosis. The diagnostic performances of the HSI‐AI model and endoscopists were calculated respectively, and the auxiliary efficiency of the model was evaluated after a 2‐week interval. Results: Quantitative HSI revealed histological differences in colorectal polyps. The HSI‐AI model showed considerable efficacy in differentiating nonneoplastic polyps, non‐advanced adenomas, and advanced neoplasia in vitro, with sensitivities of 96.0%, 94.0%, and 99.0% and specificities of 99.0%, 99.0%, and 96.5%, respectively. With the assistance of the model, the median negative predictive value of neoplastic polyps increased from 50.0% to 88.2% (p = 0.013) in novices. Conclusion: This study demonstrated the feasibility of using HSI as a diagnostic tool to differentiate neoplastic colorectal polyps in vitro and the potential of AI‐assisted diagnosis synchronized with colonoscopy. The tool may improve the diagnostic performance of novices and facilitate the application of resect‐and‐discard strategy to decrease the cost. [ABSTRACT FROM AUTHOR]

Background: Submucosal pseudoinvasion and squamous metaplasia (SM) are incidental and special morphological findings in colorectal adenomas, and both can mimic invasive carcinoma. The coexistence of these two findings further increases the risk of misdiagnosis, posing a great diagnostic challenge to pathologists. From 1979 to 2022, only 8 cases have been reported, which was extremely rare. In this report, we presented a case of sigmoid colon adenoma accompanied by pseudoinvasion and SM. Additionally, relevant literature was analyzed to summarize the clinical and pathological characteristics. Case presentation: A 51-year-old Chinese male patient presented with fresh blood after defecation. Electronic colonoscopy revealed multiple polyps, which were removed using a snare and subjected to high-frequency electrocoagulation resection. The largest polyp, located in the sigmoid colon, was a thick pedunculated and lobulated polyp with a maximum diameter of 2.8 cm. The surface of the polyp showed slight ruggedness and redness, and it was sent for pathological examination. Grossly, the polyp had a lobulated and slightly rough surface. Microscopically, it showed a tubulovillous adenoma with focal high-grade dysplasia and mucosal muscle hyperplasia. Glandular elements were observed in the submucosal layer, forming a well-defined lobular structure. Some of the glands displayed cystic change, and focal SM could be seen within the adenoma. SM could manifest as discrete solid cell nests of varying sizes or cribriform-morular-like structures. Immunohistochemical staining showed that SM cells were diffusely positive for cytokeratin 5/6 (CK5/6); p40, p63, and cytokeratin 20 (CK20) were negative; while caudal type homeobox 2 (CDX2) was weakly positive. β-catenin showed abnormal nuclear expression, and an extremely low Ki67 proliferation index was observed. Conclusions: Coexistence of SM and pseudoinvasion in colorectal adenomas is highly rare. It is more commonly observed in males and tends to occur in the sigmoid colon. It primarily manifests in tubulovillous adenoma and tubular adenoma, with a majority of cases exhibiting a pedicle. Histologically, it is similar to invasive lesions. The cystic dilation of the submucosal glands, hemosiderin deposition, and the presence of a lamina propria around the submucosal glands without adjacent desmoplastic reaction, suggest pseudoinvasion rather than cancer. The bland cytological morphology and Immunohistochemical markers play a crucial role in distinguishing SM from true invasive lesions. [ABSTRACT FROM AUTHOR]

Colon polyps represent a common gastrointestinal form. In order to effectively treat and prevent complications arising from colon polyps, colon polypectomy has become a commonly used therapeutic approach. Accurately segmenting polyps from colonoscopy images can provide valuable information for early diagnosis and treatment. Due to challenges posed by illumination and contrast variations, noise and artifacts, as well as variations in polyp size and blurred boundaries in polyp images, the robustness of segmentation algorithms is a significant concern. To address these issues, this paper proposes a Double Loss Guided Residual Attention and Feature Enhancement Network (DLGRAFE-Net) for polyp segmentation. Firstly, a newly designed Semantic and Spatial Information Aggregation (SSIA) module is used to extract and fuse edge information from low-level feature graphs and semantic information from high-level feature graphs, generating local loss-guided training for the segmentation network. Secondly, newly designed Deep Supervision Feature Fusion (DSFF) modules are utilized to fuse local loss feature graphs with multi-level features from the encoder, addressing the negative impact of background imbalance caused by varying polyp sizes. Finally, Efficient Feature Extraction (EFE) decoding modules are used to extract spatial information at different scales, establishing longer-distance spatial channel dependencies to enhance the overall network performance. Extensive experiments conducted on the CVC-ClinicDB and Kvasir-SEG datasets demonstrate that the proposed network outperforms all mainstream networks and state-of-the-art networks, exhibiting superior performance and stronger generalization capabilities. [ABSTRACT FROM AUTHOR]

This article provides a summary of various studies related to gastrointestinal cancer. The studies cover a range of topics, including predicting the likelihood of hepatocellular carcinoma recurrence after surgery, using patient-derived organoid culture for personalized chemotherapy, identifying carriers of a rare genetic disorder that predisposes individuals to colorectal cancer, investigating extreme elevation of a tumor marker caused by a specific type of neoplasm, evaluating the value of performing same-day upper and lower endoscopies for colonoscopy referrals, screening strategies for Barrett's esophagus, the effects of butyrate on polyp burden in individuals with familial adenomatous polyposis, the influence of a genetic mutation on the gastric microbiota and inflammation in relation to gastric cancer, and the impact of diverticulosis and polypectomy on the risk of developing metachronous colorectal cancer. These studies provide valuable insights into various aspects of gastrointestinal cancer and can inform future research and treatment approaches. [Extracted from the article]

Incomplete resection rates vary among endoscopists performing cold snare polypectomy. Cold snare endoscopic mucosal resection (CS-EMR) is the technique of cold resection after submucosal injection to reduce incomplete resection. This study aimed to evaluate the efficacy and safety of CS-EMR for small colorectal polyps compared to hot snare endoscopic mucosal resection (HS-EMR). Preplanned sample size required 70 polyps to CS-EMR group or HS-EMR group, respectively. Patients with polyps sized 6–9 mm were randomly allocated to either the CS-EMR or the HS-EMR group. The primary outcome was residual or recurrent adenoma (RAA) rate. A total of 70 and 68 polyps were resected using CS-EMR and HS-EMR, respectively. In the intention-to-treat population, the RAA rate was 0% in the CS-EMR group and 1.5% in the HS-EMR group (risk difference [RD], − 1.47; 95% confidence interval [CI] − 4.34 to 1.39). En bloc resection rate was 98.6% and 98.5% (RD, − 0.04; 95% CI − 4.12 to 4.02); the R0 resection rate was 55.7% and 82.4% (RD, − 27.80; 95% CI − 42.50 to − 13.10). The total procedure time was 172 s (IQR, 158–189) in the CS-EMR group and 186 s (IQR, 147–216) in the HS-EMR group (median difference, − 14; 95% CI − 32 to 2). Delayed bleeding was 2.9% vs 1.5% (RD, 1.37; 95% CI − 3.47 to 6.21) in both groups, respectively. CS-EMR was non-inferior to HS-EMR for the treatment of small colorectal polyps. CS-EMR can be considered one of the standard methods for the removal of colorectal polyps sized 6–9 mm. [ABSTRACT FROM AUTHOR]

Evidence on serum biomarkers as a non-invasive tool to detect colorectal adenoma (CRA) in the general population is quite promising. However, the sensitivity and specificity of these serum biomarkers in detecting disease are still questionable. This study aimed to systematically review the evidence on the diagnostic performance of serum biomarkers associated with CRA. Database searches on PubMed, Scopus, and WoS from January 2014 to December 2023 using PRISMA guidelines resulted in 4,380 citations, nine of which met inclusion criteria. The quality of these studies was assessed using the QUADOMICS tool. These studies reported on 77 individual/panel biomarkers which were further analysed to find associated altered pathways using MetaboAnlyst 5.0. Diagnostic accuracy analysis of these biomarkers was conducted by constructing a receiver operating characteristic (ROC) curve using their reported sensitivity and specificity. This review identified six potential serum metabolite biomarkers with 0.7

Background: Polyps are the predominant precursors of colorectal cancer. In the past three decades, the incidence and mortality rates of colorectal cancer have been increasing in adults younger than 50 years. Aims: The aim of this clinical audit was to evaluate the prevalence, characteristics and clinical associations of polyps in adults aged 18–49 years presenting to an established private gastroenterology clinic in the Toowoomba Darling Downs region. Methods: The audit included data from 353 patient records held by the Toowoomba Gastroenterology Clinic. Data extracted from patient medical records through the Medical Director program software contained structured endoscopy/colonoscopy and histology reports of excised lesions of patients presenting to the clinic. The extract involved identifying all patients aged 18–49 years in the database from January 2019 to March 2022. Patients were screened based on audit inclusion and exclusion criteria. Patients were risk stratified for recommended surveillance intervals as per Australian Clinical Guidelines. Results: Of the sample population, 33.4% were identified with polyps and 22.4% were identified with neoplastic polyps (NPs). A total of 6.7% of 18‐ to 29‐year‐old patients were identified with intermediate risk for colorectal cancer (CRC) screening, and 19.8% and 19.3% of 30‐ to 39‐year‐old and 40‐ to 49‐year‐old patients identified with intermediate or high risk for CRC screening respectively. Increased age, greater size of polyps and surveillance of previous polyps were associated with increased NP prevalence. Conclusions: Data from this audit supported the temporal trend of increasing prevalence of polyps in adults younger than 50 years. Patient cohorts aged 30–39 and 40–49 years may benefit from earlier first colonoscopies. Findings could be the impetus for future research in young adults presenting for colonoscopy. [ABSTRACT FROM AUTHOR]

Background: Sedation increases colonoscopy risks and prolongs recovery time. We examined whether virtual reality (VR) can substitute for sedation. The primary outcome was the overall satisfaction of patients who underwent colonoscopy with VR headset compared with patients who underwent standard sedation. Pain during the procedure, polyp detection rate (PDR), colonoscopy duration, post-colonoscopy adverse events, post-colonoscopy recovery, time-to-return to daily functions, and turnaround time at the endoscopy unit were secondary outcomes. Methods: The study was approved by Sheba Medical Center's ethics committee IRB number 21-8177-SMC. Sixty patients were sequentially enrolled in a 1:1 ratio to either standard sedated colonoscopy or VR-unsedated procedure, and all patients signed a written informed consent. 28/30 patients successfully completed the colonoscopy using VR headset. Overall satisfaction score was comparable between the groups. Results: There was no difference between VR and controls in colonoscopy duration, or PDR. VR patients had numerically lower rate of post-colonoscopy adverse events than controls. The proportion of VR patients who reported resuming daily activities on the day of the procedure was significantly higher than in the control group. The VR group patients spent significantly less time in the hospital compared to the control group. Conclusions: VR technology can provide adequate substitution for sedation for most patients undergoing colonoscopy and offers comparable patient satisfaction and faster return to daily activities. [ABSTRACT FROM AUTHOR]

To investigate the role of body mass index (BMI), serum lipid profile molecules and their derivative indexes in colorectal polyps. A total of 352 individuals who underwent colonoscopy at our center were included in this retrospective analysis. Of these, 247 patients without evident abnormalities (control group), while 105 patients diagnosed with colorectal polyps (patient group). Serum lipid profile molecules and their derivative indexes were then compared between the two groups. The patient group exhibited significantly higher levels of total cholesterol (TC) and apolipoprotein B (ApoB) compared to the control group (p<0.05). In males, the patient group displayed elevated levels of ApoB and ApoB/ApoA1 ratio compared to the control group (p<0.05). Additionally, the triglycerides (TG) and TG/high-density lipoprotein-cholesterol (HDL-C) ratios were significantly higher in the multiple polyps group than in the single polyp group (p<0.05). Furthermore, the HDL-C and HDL-C/ApoA1 ratio levels were higher in the adenomatous polyp group when compared to the non-adenomatous polyp group (p<0.05). Multiple logistic regression analysis indicated that total cholesterol (TC), TG, low-density lipoprotein-cholesterol (LDL-C), TC/HDL-C ratio, TG/HDL-C ratio and LDL-C/HDL-C ratio were risk factors for the occurrence of colorectal polyps (p<0.05). ROC curve analyses revealed that TC, ApoB, and ApoB/ApoA1 ratio were associated with colorectal polyps. No significant difference in BMI between the two groups (p>0.05). The incidence and progression of colorectal polyps are linked to serum lipid molecules and their derivative indexes. Dyslipidemia may increase the risk of colorectal polyps, potentially leading to colorectal cancer (CRC). [ABSTRACT FROM AUTHOR]

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Background and Aim: Hot snare excision using electrocautery is widely used for large colorectal polyps (>10 mm); however, adverse events occur due to deep thermal injury. Colorectal polyps measuring 10–14 mm rarely include invasive cancer. Therefore, less invasive therapeutic options for this size category are demanding. We have developed hot snare polypectomy with low‐power pure‐cut current (LPPC HSP), which is expected to contribute to less deep thermal damage and lower risk of adverse events. This study aimed to evaluate the efficacy and safety of LPPC HSP for 10–14 mm colorectal polyps, compared with conventional endoscopic mucosal resection (EMR). Methods: In this multicenter, retrospective, observational study, clinical outcomes of EMR and LPPC HSP for 10–14 mm nonpedunculated colorectal polyps between January 2021 and March 2022 were compared using propensity score matching. Results: We identified 203 EMR and 208 LPPC HSP cases. After propensity score matching, the baseline characteristics between the groups were comparable, with 120 pairs. The en bloc and R0 resection rates were not significantly different between EMR and LPPC HSP groups (95.8% vs 97.5%, P = 0.72; 90.0% vs 91.7%, P = 0.82). The rates of delayed bleeding and perforation did not differ between the groups. Conclusions: Compared with conventional EMR, LPPC HSP showed a similar resection ability without an increase in adverse events. These results suggest that LPPC HSP is a safe and effective treatment for 10–14 mm nonpedunculated colorectal polyps. [ABSTRACT FROM AUTHOR]

Background. The large number of lesions detected via high-definition (HD) imaging during colonoscopy calls for the reliable real-time histological characterization of polyps, especially diminutive and small ones, to permit tailored management based on the neoplastic risk, such as a "resect-and-discard" or a "diagnose-and-leave" strategy for low-risk adenomas and hyperplastic polyps (HPs). The Kudo classification of glandular pit pattern is currently used for predicting polyp histology. Aim. The aim in this study was to assess whether Kudo's glandular pit pattern, assessed via HD digital chromoendoscopy (i-Scan) without magnification and optical enhancement, reliably predicts polyp histology and differentiates neoplastic lesions (NLs) from non-neoplastic lesions (non-NLs) during routine colonoscopy. Methods. Consecutive colorectal lesions recorded in a database over 12 months, with Kudo's glandular pit pattern classification, were retrospectively compared with histology. The diagnostic accuracy and negative predictive value (NPV) for adenomatous histology of Kudo's pit patterns were assessed separately for diminutive (≤5 mm) and small (6–9 mm) polyps, accordingly to the American Society for Gastrointestinal Endoscopy (ASGE) Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI), and in large (≥10 mm) lesions. Results. A total of 2230 lesions were recorded: 898 diminutive, 704 small, and 628 large. Kudo's type II pit pattern was prevalent in diminutive polyps and recognized mostly in HPs (83.27%); it was also found in 38.8% of adenomas. In the right colon, Kudo's type II pit pattern was prevalent in adenomas (70.04% vs. 20.74% in HPs); among the serrated lesions, it was evenly distributed between HPs and adenomas. Kudo's type IIIL/IIIs/IV pit pattern was prevalent in NLs (61% vs. 8.37% of non-NLs) in diminutive polyps, evenly distributed between non-NLs and NLs in small polyps, and found only in NLs in large polyps. Kudo's type Vi/Vn pit pattern correctly identified all but one adenocarcinoma. The NPV for adenomatous histology did not reach the recommended 90% PIVI threshold for differentiation between NLs and non-NLs in diminutive polyps showing Kudo's type II pit pattern and in small polyps showing type IIIL/IIIs/IV pit pattern. Conclusions. Kudo's pit pattern classification carried out with digital chromoendoscopy (i-Scan) during routine colonoscopy does not allow the reliable differentiation between non-NLs and NLs in diminutive and small polyps, so a "diagnose-and-leave" strategy for diminutive polyps may leave undetected adenomas, while a "resect-and-discard" strategy could miss lesions requiring closer follow-up. [ABSTRACT FROM AUTHOR]

Purpose: Colorectal cancer (CRC) is linked to lifestyle exposures. However, changes in the CRC rates among younger populations remain poorly understood and suggest the existence of yet unidentified factor(s) that may contribute to colon carcinogenesis. Here, we investigated the potential role of time of eating in the risk of pre-cancerous colonic neoplasms (tubular adenoma: TA). Methods: We enrolled 663 participants undergoing screening colonoscopies. Data on food timing, dietary intake, sleep/wake patterns, and chronotype were collected through structured questionnaires. Late eating was defined as the consumption of food or snack within a 3-hour window of sleep onset for at least four days a week. Pathology reports confirmed the histology of colonic polyps, and adenomas were further classified into risk categories. Results: A total of 644 patients met criteria for our study. There were 270 (42.2%) participants classified as late eaters. Compared to non-late eaters, the odds of TA were higher in late eaters (OR = 1.46, 95% CI = 1.05–2.03, p = 0.023), an association which was strengthened after adjusting for multiple confounders (OR 1.98, 95% CI 1.19–3.28, p = 0.008). Late eating remained an independent risk factor for high-risk as well as multiple TAs. Conclusion: This study proposes late eating as a risk factor for colon tubular adenomas and underscores the potential role of less studied forms of circadian disruption imposed by time of eating in the development of colon neoplastic formation. [ABSTRACT FROM AUTHOR]

The implementation of screening colonoscopy with polyp removal has significantly decreased mortality rates associated with colorectal cancer (CRC), although it remains a major cause of cancer-related deaths globally. CRC typically originates from adenomatous polyps, and increased removal of these growths has led to reduced CRC incidence and mortality. Endoscopic polypectomy techniques, including hot and cold snare polypectomy, play a pivotal role in this process. While both methods are effective for small polyps (10 mm), particularly those with advanced features, pose increased cancer risks and often require meticulous assessment and advanced endoscopic techniques, including endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD), for resection.This chapter also provides a practical overview of endoscopic techniques for managing colonic obstructions and pericolonic fluid collections, detailing their indications, advantages, disadvantages, and complications. The goal is to improve understanding and application in clinical practice. Additionally, we provide a summary of endoscopic closure techniques that have revolutionized the management of perforations and fistulas, offering safe and effective alternatives to surgery.

Colon polyps have become a focal point of research due to their heightened potential to develop into appendiceal cancer, which has the highest mortality rate globally. Although numerous colon polyp segmentation methods have been developed using public polyp datasets, they tend to underperform on private datasets due to inconsistencies in data distribution and the difficulty of fine-tuning without annotations. In this paper, we propose a Self-Adaptive Teacher-Student (SATS) framework to segment colon polyps from unannotated private data by utilizing multiple publicly annotated datasets. The SATS trains multiple teacher networks on public datasets and then generates pseudo-labels on private data to assist in training a student network. To enhance the reliability of the pseudo-labels from the teacher networks, the SATS includes a newly proposed Uncertainty and Distance Fusion (UDFusion) strategy. UDFusion dynamically adjusts the pseudo-label weights based on a novel reconstruction similarity measure, innovatively bridging the gap between private and public data distributions. To ensure accurate identification and segmentation of colon polyps, the SATS also incorporates a Granular Attention Network (GANet) architecture for both teacher and student networks. GANet first identifies polyps roughly from a global perspective by encoding long-range anatomical dependencies and then refines this identification to remove false-positive areas through multi-scale background-foreground attention. The SATS framework was validated using three public datasets and one private dataset, achieving 76.30% on IoU, 86.00% on Recall, and 7.01 pixels on HD. These results outperform the existing five methods, indicating the effectiveness of this approach for colon polyp segmentation. [ABSTRACT FROM AUTHOR]

This study aims to analyze the risk factors associated with delayed postoperative bleeding (DPPB) following colorectal polyp surgery, develop a dynamic nomogram and evaluate the model efficacy, provide a reference for clinicians to identify the patients at high risk of DPPB. Retrospective study was done on patients who underwent endoscopic colorectal polypectomy at the First Hospital of Lanzhou University from January 2020 to March 2023. Differences between the group with and without DPPB were compared, and independent risk factors for DPPB occurrence were identified through univariate analysis and combination LASSO and logistic regression. A dynamic nomogram was constructed based on multiple logistic regression to predict DPPB following colorectal polyp surgery. Model evaluation included receiver operating characteristic (ROC), Calibration curve, Decision curve analysis (DCA). DPPB occurred in 38 of the 1544 patients included. multivariate analysis showed that direct oral anticoagulants (DOACs), polyp location in the right hemi colon, polyp diameter, drink, and prophylactic hemoclips were the independent risk factors for DPPB and dynamic nomogram were established. Model validation indicated area under the ROC curve values of 0.936, 0.796, and 0.865 for the training set, validation set, and full set, respectively. The calibration curve demonstrated a strong alignment between the predictions of the column-line diagram model and actual observations. The decision curve analysis (DCA) displayed a significant net clinical benefit across the threshold probability range of 0–100%. The dynamic nomogram aids clinicians in identifying high-risk patients, enabling personalized diagnosis and treatment. [ABSTRACT FROM AUTHOR]

Background: To investigate the effect of different working periods on missed diagnoses in patients with colorectal polyps in colonoscopy. Methods: We conducted a retrospective analysis of patients who were diagnosed with colorectal polyps during colonoscopy in an outpatient department between July and December 2022. These patients were subsequently hospitalized for resection during this period. Patients with missed diagnoses were those who had newly discovered polyps in a second colonoscopy. The working periods were categorized as work, near the end of work, and delayed work, respectively, in the morning and afternoon. Results: A total of 482 patients were included, and the miss rate of diagnosis was 48.1% (232/482), mainly in the transverse colon (25%), and the ascending colon (23%). Patient age was a risk factor for the miss rate of diagnosis (OR = 1.025, 95%CI: 1.009–1.042, P = 0.003) and was also associated with the number of polyps detected for the first colonoscopy (χ2 = 18.196, P = 0.001). The different working periods had no statistical effect on the missed rate of diagnosis (χ2 = 1.998, P = 0.849). However, there was an increasing trend in miss rates towards the end of work and delayed work periods, both in the morning and afternoon. The highest miss rate (60.0%) was observed during delayed work in the afternoon. Additionally, poor bowel preparation was significantly more common during delayed work in the afternoon. Conclusions: The increasing trend in miss rates towards the end of work and delayed work periods deserves clinical attention. Endoscopists cannot always stay in good condition under heavy workloads. [ABSTRACT FROM AUTHOR]

Introduction: Nonalcoholic or metabolism-associated fatty liver disease (NAFLD or MAFLD) and colorectal polyps are chronic conditions strongly linked to lifestyle factors. However, the precise causal link between NAFLD or MAFLD and the development of colorectal polyps is not yet fully understood. This study aimed to evaluate the association between NAFLD or MAFLD and the risk of colorectal polyps based on a meta-analysis and two-sample Mendelian randomization (MR) analyses. Methods: PubMed, Embase, Cochrane Library databases were searched for eligible studies to be included in the meta-analysis. We conducted a thorough search of the PubMed, Embase, and Cochrane Library databases to identify eligible studies prior to 22 March 2024. Subgroup analyses were performed based on sex, age, and geographical region. Causality between NAFLD/MAFLD and colorectal polyps was explored by using two-sample Mendelian randomization (MR) analyses. Results: Based on an analysis of 17 studies encompassed within thismeta-analysis, a significant correlation was identified between the presence of NAFLD/MAFLD and elevated incidence of colorectal polyps (NAFLD: OR = 1.57, 95% CI: 1.43-1.73, I² = 38%, p = 0.06; MAFLD: OR = 1.67, 95% CI: 1.40-2.00, I² = 77%, p = 0.002). However, current evidence does not support a causal relationship between NAFLD/MAFLD and the prevalence of colorectal polyps (OR= 0.9998315, 95% CI: 0.9987566-1.000907, P = 0.7587638). Conclusion: NAFLD/MAFLD demonstrated a significant positive correlation with an elevated risk of developing colorectal polyps. However, the MR analysis suggested that no causal relationship existed between NAFLD/MAFLD and colorectal polyps. Therefore, further research is required to identify the underlying mechanism of causal link between these diseases. [ABSTRACT FROM AUTHOR]

Astragaloside IV (AS-IV), a natural triterpenoid isolated from Astragalus membranaceus, has been used traditionally in Chinese medicine. Previous studies have highlighted its benefits against carcinoma, but its interaction with the gut microbiota and effects on adenomatous polyps are not well understood. This present study investigates the effects of AS-IV on colonic adenomatous polyp (CAP) development in high-fat-diet (HFD) fed A p c Min ∕ + mice. A p c Min ∕ + mice were fed an HFD with or without AS-IV or Naringin for 8 weeks. The study assessed CAP proliferation and employed 16S DNA-sequencing and untargeted metabolomics to explore correlations between microbiome and metabolome in CAP development. AS-IV was more effective than Naringin in reducing CAP development, inhibiting colonic proinflammatory cytokines (IL-1β, IL-6, and TNF-α), tumor associated biomarkers (c-Myc, Cyclin D1), and Wnt/β-catenin pathway proteins (Wnt3a, β-catenin). AS-IV also inhibited the proliferative capabilities of human colon cancer cells (HT29, HCT116, and SW620). Multiomics analysis revealed AS-IV increased the abundance of beneficial genera such as Bifidobacteriumpseudolongum and significantly modulated serum levels of certain metabolites including linoleate and 2-trans,6-trans-farnesal, which were significantly correlated with the number of CAP. Finally, the anti-adenoma efficacy of AS-IV alone was significantly suppressed post pseudoaseptic intervention in HFD-fed A p c Min ∕ + mice but could be reinstated following a combined with Bifidobacteriumpseudolongum transplant. AS-IV attenuates CAP development in HFD-fed A p c Min ∕ + mice by regulating gut microbiota and metabolomics, impacting the Wnt3a/β-catenin signaling pathway. This suggests a potential new strategy for the prevention of colorectal cancer, emphasizing the role of gut microbiota in AS-IV's antitumor effects. [ABSTRACT FROM AUTHOR]

Purpose: The available evidence regarding the role of fruit and vegetable consumption in the development of colorectal polyps remains inconclusive, and there is a lack of data on different histopathologic features of polyps. We aimed to evaluate the associations of fruit and vegetable consumption with the prevalence of colorectal polyps and its subtypes in a high-risk population in China. Methods: We included 6783 Chinese participants aged 40–80 years who were at high risk of colorectal cancer (CRC) in the Lanxi Pre-colorectal Cancer Cohort (LP3C). Dietary information was obtained through a validated food-frequency questionnaire (FFQ), and colonoscopy screening was used to detect colorectal polyps. Dose–response associations of fruit and vegetable intake with the prevalence of polyps were calculated using multivariate-adjusted regression models, which was reported as odds ratios (ORs) with 95% confidence intervals (CIs). Results: 2064 cases of colorectal polyps were ascertained in the LP3C during 2018–2019. Upon multivariable adjustments, including the diet quality, fruit consumption was inversely associated with the prevalence of polyps (P trend = 0.02). Participants in the highest tertile of fruit intake had a 25% lower risk (OR: 0.75; 95% CI 0.62‒0.92) compared to non-consumers, while vegetable consumption had no significant association with polyp prevalence (P trend = 0.86). In terms of colorectal histopathology and multiplicity, higher fruit intake was correlated with 24, 23, and 33% lower prevalence of small polyps (OR: 0.76; 95% CI 0.62‒0.94; P trend = 0.05), single polyp (OR: 0.77; 95% CI 0.62‒0.96; P trend = 0.04), and distal colon polyps (OR: 0.67; 95% CI 0.51‒0.87; P trend = 0.003), respectively. Conclusions: Fresh fruit is suggested as a protective factor to prevent colorectal polyps in individuals at high risk of CRC, and should be underscored in dietary recommendations, particularly for high-risk populations. [ABSTRACT FROM AUTHOR]

Colorectal cancer, a type of colon or bowel cancer, poses a major challenge in the treatment of colorectal lesions. Colorectal endoscopic mucosal resection (EMR) is a minimally invasive technique, but the risk of wound infections remains a significant concern. These infections can impede the healing process, affecting daily activities and patient satisfaction. To mitigate the risk of wound infections, various prophylactic measures have been explored, including medication, vaccines, lifestyle adjustments and hygiene practices. This study aims to investigate the prevention of wound infections through prophylactic measures in colorectal EMR. A comprehensive literature review was conducted to identify prophylactic measures that can prevent wound infections. A systematic literature search was conducted using both free words and search terms. The data extraction was performed after a comprehensive literature screening. The meta‐analysis was performed using the metabin function of the meta library in R to evaluate the infection incidences in intervention and control groups. A total of 599 infection incidences were considered, with 267 in intervention and 332 in the control group. The results of meta analysis demonstrated significant reduction of wound incidences following the prophylactic measures (risk ratio [RR] = 0.77, 95% confidence interval [CI]: 0.6747; 0.9016, I2 = 78.5%, p < 0.01). The wound infection ratio analysis also exhibited an approximate 6.6% less infection rate in the intervention group, demonstrating significantly less wound infection following the implementation of prophylactic measures. This study highlights the crucial significance of prevention of wound infections by prophylactic measures in colorectal EMR. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer ranks third among the most common cancer of male. Globally colorectal adenocarcinoma accounts for approximately 1.2 million new cases, and 600,000 deaths each year1. In India, the incidence of colorectal cancer is 4.3 and 3.4 per 100,000 male and female respectively2. Colorectal carcinoma (CRC) is considered as the most preventable cancers because it arises from benign neoplasms, called polyps which evolve into colorectal carcinomas over many years. The aim of the study is to study the age, sex, site and clinical presentation of various colorectal neoplasm, to study expression of beta catenin in benign, premalignant and malignant tumors of colorectum and correlate the level of expression of beta catenin in various histological grades of colorectal carcinoma. Materials and Methods: Paraffin blocks from 23 cases has been selected which includes both polyps and colorectal carcinoma. Colorectal carcinoma has been graded and staged according to the cap protocol. Polyps has been classified in to benign and premalignant, whereas colorectal carcinoma has been graded with respect to degree of differentiation. Betacatenin immuno-histochemistry has been done. Scoring has done with respect to the localization of beta-catenin in membrane, cytoplasm and nucleus. Result: Normal colorectal mucosa and benign polyps shows predominant membranous expression. Premalignant polyp shows predominantly increased cytoplasmic expression with focal nuclear positivity and the colorectal carcinoma shows raised nuclear expression and loss of membranous expression. This proves the gradual translocation of beta catenin from membrane to nucleus in adenomacarcinoma sequence. Beta-catenin expression has been significantly correlated with depth of invasion (T), nodal metastasis (N) and thereby to the stage of the carcinoma. Beta-catenin expression has been statistically correlated with degree of differentiation (tumor grade). Both recurrence and death were equally distributed in our study, through this observation the morbidity and mortality were greatly correlated with grade of beta-catenin expression. Hence beta-catenin can be used as a marker to identify the malignant potential of premalignant dysplastic polyps which helps in early management. It is used to assess the prognosis of the patients who were in post-colectomy status hence this marker can be used as an additional prognostic marker. [ABSTRACT FROM AUTHOR]

Background: This study was designed to compare the diagnostic efficacy of mSEPT9 to four blood markers (CEA, CA19-9, platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR)). In addition, we aimed to determine the combined diagnostic efficacy of mSEPT9, CEA, CA19-9, PLR and NLR in colorectal cancer. Methods: A total of 567 participants were enrolled in the study, including 308 CRC patients, 61 colorectal polyp patients and 198 healthy subjects confirmed by colonoscopy and/or tissue biopsy. Plasma samples were collected for tests. Results: The positive rate of mSEPT9 in CRC (71.8%) was markedly higher than that in either the colorectal polyps group (27.9%) or the healthy controls (6.1%) (P < 0.001). The levels of CEA, CA19-9, NLR and PLR in the CRC group were significantly higher than those in the non-CRC groups (P < 0.05). ROC curves comparison analyses showed that the diagnostic efficacy of mSEPT9 alone in CRC was significantly higher than CEA, CA19-9, NLR and PLR alone. The combination of mSEPT9 with CEA, CA19-9 and PLR showed superior diagnostic value. In addition, binary logistic regression was also used to build a better model for clinical diagnosis of CRC. On univariable analyses, age, mSEPT9, CEA, CA 19–9, PLR and NLR were independent predictors of CRC. When these covariates were fitted in multivariable models, the ones with positive detection of mSEPT9, CEA, CA 19–9 and PLR were more likely to have CRC. Conclusions: This research revealed a significant association between mSEPT9 status and the clinicopathological characteristics of CRC patients, and the combination of mSEPT9, CEA, CA19-9 and PLR could significantly improve diagnostic efficacy in CRC. [ABSTRACT FROM AUTHOR]

Purpose: The fragmentation of polyps affects complete resection confirmation. The primary aim of this study was to assess the feasibility of a novel polyp retrieval bag for reducing the fragmentation rate of colon polyps. Methods: Patients with a 5–15 mm colon polyp were recruited and randomized into two groups at a 1:1 ratio. After polyp resection, polyps obtained from patients in the treatment group were extracted via a novel polyp retrieval bag without traversing the instrument channel, whereas polyps obtained from patients in the control group were collected through the instrument channel, attaching the polyp trap to the instrument channel port, and applying suction. Results: From January to July 2022, 225 patients were assessed for eligibility. The study participants included 204 patients, and seven patients whose samples were not retrieved were excluded. Polyp fragmentation was significantly lower in the treatment group than in the control group (3.0% [3/100] vs. 17.5% [17/97], P = 0.001). The retrieval failure rates in the treatment group and control group were not significantly different (2.0% [2/102] vs. 4.9% [5/102], P = 0.442). There were fewer colonoscope insertions in the treatment group than in the control group (102 vs. 110), but a significant difference was not present (P = 0.065). No significant adverse events were observed during the follow-up. Conclusions: This study demonstrated that the polyp retrieval bag was safe and feasible for reducing the fragmentation rate of retrieved polyps. Trial registration: The study was registered at ClinicalTrials.gov (NCT05189912, 1/12/2021). [ABSTRACT FROM AUTHOR]

The development of premalignant colorectal polyps is significantly influenced by various lifestyle and modifiable risk factors. In our study, we used a large cohort of 9025 patients, who underwent screening colonoscopies at a university hospital, to assess the risk factors associated with the development of three different colorectal cancer precursor lesions: non-advanced adenomas (NAs), advanced adenomatous lesions (ADLs), and sessile serrated lesions (SSLs). Among the participants, 3641 had NAs, 836 had ADLs, and 533 had SSLs. We identified obesity, current smoking, and appendicular skeletal muscle mass as modifiable lifestyle risk factors that increase the development of NAs and ADLs (all P < 0.05). Furthermore, we found a positive correlation between the degree of obesity and an increased risk of developing NAs and ADLs (all P for trend < 0.001), while non-smoking was associated with a decreased risk (P for trend < 0.001 and 0.003, respectively). Smoking was the only modifiable risk factor for developing SSLs (adjusted odds ratio [aOR] 1.58; 95% confidence interval [CI] 1.20–2.07), and the risk was even higher in patients with metabolic syndrome (aOR 1.71; 95% CI 1.05–2.77). Addressing modifiable lifestyle factors such as smoking and obesity could play an important role in reducing the risk of both non-advanced and advanced adenomatous lesions. Smoking cessation is especially important as it is a significant modifiable risk factor for sessile serrated lesions. [ABSTRACT FROM AUTHOR]