Comparative bibliometric analysis of artificial intelligence-assisted polyp diagnosis and AI-assisted digestive endoscopy: trends and growth in AI gastroenterology (2003-2023).

Introduction: Artificial intelligence is already widely utilized in gastroenterology. This study aims to comprehensively evaluate the research hotspots and development trends within the field of AI in gastroenterology by employing bibliometric techniques to scrutinize geographical distribution, authorship, affiliated institutions, keyword usage, references, and other pertinent data contained within relevant publications. Methods: This investigation compiled all pertinent publications related to artificial intelligence in the context of gastrointestinal polyps and digestive endoscopy from 2003 to 2023 within the Web of Science Core Collection database. Furthermore, the study harnessed the tools CiteSpace, VOSviewer, GraphPad Prism and Scimago Graphica for visual data analysis. The study retrieved a total of 2,394 documents in the field of AI in digestive endoscopy and 628 documents specifically related to AI in digestive tract polyps. Results: The United States and China are the primary contributors to research in both fields. Since 2019, studies on AI for digestive tract polyps have constituted approximately 25% of the total AI digestive endoscopy studies annually. Six of the top 10 most-cited studies in AI digestive endoscopy also rank among the top 10 most-cited studies in AI for gastrointestinal polyps. Additionally, the number of studies on AI-assisted polyp segmentation is growing the fastest, with significant increases in AI-assisted polyp diagnosis and real-time systems beginning after 2020. Discussion: The application of AI in gastroenterology has garnered increasing attention. As theoretical advancements in AI for gastroenterology have progressed, real-time diagnosis and detection of gastrointestinal diseases have become feasible in recent years, highlighting the promising potential of AI in this field.

Laparoscopic Cholecystectomy for Gallbladder Polyps: Is It Overtreatment?

BACKGROUND: The gallbladder polyp (GP) is an accepted risk factor of gallbladder cancer and an indication for laparoscopic cholecystectomy (LC). Generally, the pathologic result of GPs is benign, but it is difficult to distinguish a potential malignancy or a stone without pathological evaluation. This study compared the indication and pathologic result of cholecystectomy performed due to GP in our clinic. MATERIALS AND METHODS: This study employed retrospective data analysis. Patients who underwent LC from August 2021 through August 2024 were included in the study. Demographic features, operation status, indications for surgery, hospital stay, concomitant surgery, pathologic outcomes, and complications were recorded from patients' data. Polyp sizes and number of polyps were taken from ultrasonography (USG) data. RESULTS: A total of 533 patients were included in the study. The mean age was 44.31 ± 12.14, and 64.35% (n = 343) were of female gender. Twenty patients (3.75%) underwent surgery for GP. The mean polyp size was 7.47 mm (2-15); 65% of the patients (n = 13) had multiple polyps, and 35% (n = 7) had a single polyp. The mean hospital stay was 1.59 ± 0.88 days. The pathologic result of GP was pseudopolyp in 55% (n = 11) of cases and non-polyp in 45% (n = 9). One patient (0.18%) who underwent an operation for gallstone had a malignancy. The sensitivity of USG in detecting polyps was found to be 64.7%. The complication rate was 1.5% (n = 8). CONCLUSION: The pathological result of many patients who undergo cholecystectomy due to GPs is pseudopolyp or adenoma. In our study, no carcinoma was observed in any patient who underwent surgery for polyps. Further studies are needed to determine the indication for surgery due to GP.

Peak nasal inspiratory flow assessment of polyp size and response from SYNAPSE.

Background: In the phase III SYNAPSE study, mepolizumab plus standard of care reduced total endoscopic nasal polyp score (NPS) versus that with placebo in patients with chronic rhinosinusitis with nasal polyps. Objective: Our aim was to investigate relationships between NPS and (1) peak nasal inspiratory flow (PNIF) and (2) patient-reported outcomes. Methods: In this post hoc analysis, patients randomized 1:1 received mepolizumab, 100 mg, or placebo subcutaneously every 4 weeks (plus standard of care). Changes from baseline in PNIF (week 52), visual analog scale scores (overall symptoms, nasal obstruction, and loss of smell [weeks 49-52]), and total 22-Item Sino-Nasal Outcome Test score (week 52) were assessed in patients with or without improvements in NPS (improvement of ≥1 point) or without (improvement of <1 point or worsening). Results: Patients with improvements in NPS had greater improvements in PNIF (a median of 50 L per minute [interquartile range (IQR) = 10.5-87.5] with mepolizumab vs a median of 40 L per minute [IQR = 0-85.0] with placebo) than did those patients without improvements in NPS (a median of 0.0 L per minute [IQR = -10.0 to 45.0] with mepolizumab vs a median of 0.0 L per minute [IQR = -30.0 to 30.0] with placebo). Similar results were seen for the following: change from baseline in overall symptoms (a median of -5.8 [IQR = -8.1 to -3.80] with mepolizumab and a median of -4.1 [IQR = -7.0 to -1.2] with placebo with improvement in NPS vs a median of -1.3 [IQR = -6.3 to 0.0] with mepolizumab and a median of -0.1 [IQR = -3.4 to 0.0] with placebo without improvement in NPS); change in nasal obstruction (a median of -5.7 [IQR = -8.2 to -3.5] with mepolizumab and a median of -4.5 [IQR = -7.3 to -1.2] with placebo with improvement in NPS vs a median of -1.3 [IQR = -6.6 to 0.0] with mepolizumab and a median of 0.0 [IQR = -3.6 to 0.0] with placebo without improvement in NPS); change in loss of smell (a median of -2.8 [IQR = -7.9 to 0.0] with mepolizumab and a median of -0.7 [IQR = -4.0 to 0.0] with placebo with improvement in NPS vs a median of 0.0 [IQR = -2.4 to 0.0] with mepolizumab and a median of 0.0 [IQR = -0.3 to 0.0]) with placebo without improvement in NPS); and change in visual analog scale score and 22-Item Sino-Nasal Outcome Test total score (a median of -37.0 [IQR = -52.0 to -24.0] with mepolizumab and a median of -29.0 [IQR = -43.0 to -9.0] with placebo with improvement in NPS vs a median of -16.0 [IQR = -42.0 to 0.0] with mepolizumab and a median of 0.0 [IQR = -27.0 to 0.0] with placebo without improvement in NPS). Conclusion: Improvement in NPS was associated with improvements in PNIF and patient-reported outcomes irrespective of treatment. PNIF could be a useful noninvasive tool for monitoring nasal polyp size.

A complete benchmark for polyp detection, segmentation and classification in colonoscopy images.

Introduction: Colorectal cancer (CRC) is one of the main causes of deaths worldwide. Early detection and diagnosis of its precursor lesion, the polyp, is key to reduce its mortality and to improve procedure efficiency. During the last two decades, several computational methods have been proposed to assist clinicians in detection, segmentation and classification tasks but the lack of a common public validation framework makes it difficult to determine which of them is ready to be deployed in the exploration room. Methods: This study presents a complete validation framework and we compare several methodologies for each of the polyp characterization tasks. Results: Results show that the majority of the approaches are able to provide good performance for the detection and segmentation task, but that there is room for improvement regarding polyp classification. Discussion: While studied show promising results in the assistance of polyp detection and segmentation tasks, further research should be done in classification task to obtain reliable results to assist the clinicians during the procedure. The presented framework provides a standarized method for evaluating and comparing different approaches, which could facilitate the identification of clinically prepared assisting methods.

Angiectatic Polyp-An Unusual Nasal Mass in a Young Adult.

Angiectatic nasal polyps (ANP) are rare pseudo-neoplastic lesions that might raise intriguing pathophysiological issues and present a significant diagnostic challenge. They are also referred to as inflammatory granuloma telangiectaticum, vascular granuloma, pseudo-angioma, and angiomatous/angiectatic polyp. However, the name angiectatic polyp refers to the fact that the lesion is not a true tumour and is clinically distinguished by ectatic vasculature, haemorrhage, and persistent proliferation. The most confusing aspect of this polyp is its clinical appearance, which resembles a juvenile nasal angiofibroma. Despite its typical imaging characteristics, this lesion is difficult to differentiate radiologically. Hence, histopathology is paramount for establishing diagnosis. We report a rare case of a young adult who presented with complaints of nasal block and epistaxis. Examination revealed a vascular nasal mass and CT scan demonstrated the lesion to be epicentred in right nasal cavity extending to multiple sinuses with adjacent bone erosion. Patient underwent endoscopic excision of the mass with JNA as the predominant differential and only following histopathological examination, the final diagnosis was confirmed.

A Giant Encephalocele Mimicking Nasal Polyp - A Case Report.

Encephaloceles are most commonly seen in children and rarely in adults. Spontaneous encephaloceles comprises of 3 - 5% of all CSF leaks. A huge encephalocele may be misdiagnosed as Polyp. Here we are sharing our experience of clinical presentation of an 46 year old male adult who was referred to ENT OPD with recent history of seizures, history of intermittent rhinorrhea, and nasal obstruction. On further radiological evaluation spontaneous encephalocele was noted in the left nasal cavity and was managed by Endoscopic CSF leak repair with DRAF 2 procedure.

A lighter hybrid feature fusion framework for polyp segmentation.

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.

A deep learning approach to case prioritisation of colorectal biopsies.

AIMS: To create and validate a weakly supervised artificial intelligence (AI) model for detection of abnormal colorectal histology, including dysplasia and cancer, and prioritise biopsies according to clinical significance (severity of diagnosis). MATERIALS AND METHODS: Triagnexia Colorectal, a weakly supervised deep learning model, was developed for the classification of colorectal samples from haematoxylin and eosin (H&E)-stained whole slide images. The model was trained on 24 983 digitised images and assessed by multiple pathologists in a simulated digital pathology environment. The AI application was implemented as part of a point and click graphical user interface to streamline decision-making. Pathologists assessed the accuracy of the AI tool, its value, ease of use and integration into the digital pathology workflow. RESULTS: Validation of the model was conducted on two cohorts: the first, on 100 single-slide cases, achieved micro-average model specificity of 0.984, micro-average model sensitivity of 0.949 and micro-average model F1 score of 0.949 across all classes. A secondary multi-institutional validation cohort, of 101 single-slide cases, achieved micro-average model specificity of 0.978, micro-average model sensitivity of 0.931 and micro-average model F1 score of 0.931 across all classes. Pathologists reflected their positive impressions on the overall accuracy of the AI in detecting colorectal pathology abnormalities. CONCLUSIONS: We have developed a high-performing colorectal biopsy AI triage model that can be integrated into a routine digital pathology workflow to assist pathologists in prioritising cases and identifying cases with dysplasia/cancer versus non-neoplastic biopsies.

Adenoma Detection Rate and Polyp Detection Rate among Gastroenterology Fellows and Consultants in a Tertiary Hospital in the Philippines: A Cross-sectional Study.

Background and Objective: Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the fourth leading cause of cancer mortality worldwide. Likewise in the Philippines, the prevalence of CRC has shown to be increasing. Colonoscopy, a screening procedure for CRC, has parameters to gauge quality of detection. One of which is the Adenoma Detection Rate (ADR). Higher ADR has been linked to improved cancer detection. This study aimed to determine the ADR and Polyp Detection Rate (PDR) among Gastroenterology practitioners in a tertiary government university hospital in the Philippines, estimate ADR from PDR, and identify factors associated with ADR. Methods: An analytical, cross-sectional study among patients who underwent colonoscopy for the years 2021 and the first half of 2022 at the Central Endoscopy Unit (CENDU) of the Philippine General Hospital. Demographic data of fellows and consultants were collected through an online form, while those from patients were obtained from electronic records. Colonoscopy details and histopathology results were accessed through the hospital's Open Medical Record System (MRS). ADR, PDR, and estimated ADR were computed using established formulas. To evaluate the strength of the relationship between the estimated and actual ADR, Pearson's correlation coefficient was used. Chi-square analysis, Mann-Whitney U test, and Kruskal-Wallis H test were performed to identify the factors that might influence the ADR. A cut-off of p <0.05 was considered statistically significant. Results: The total computed ADR of consultants and fellows combined is 22%. The difference between the ADRs of Gastroenterology consultants and Fellows-in-Training is statistically significant at 31.6% and 18.7%, respectively (p= 0.017). The total Polyp Detection Rate is 57.6% while the weighted group average Adenoma to Polyp Detection Rate Quotient (APDRQ) is 0.4085 or 40.85%. The estimated ADR has a moderate degree of correlation with the actual ADR when an outlier was excluded (r=0.521 (95% CI, 0.072-0.795, p=0.0266). Significant factors related to ADR include endoscopists' years of practice (p=0.020), number of colonoscopies done (p=0.031), and patient tobacco use (p=0.014). Conclusion: The overall ADR among consultants and fellows is at par with the standard guidelines. A moderate degree of correlation exists between actual and estimated ADR when an outlier is excluded; however, more studies are needed to determine the APDRQ in the wider local setting. Longer years in practice, total number of colonoscopies performed, and patient tobacco use are associated with increased ADR.

Menetrier Disease - A Rare Presentation of Gastrointestinal Bleeding.

Gastric polyps are extensions of the mucosa or submucosal space that are usually asymptomatic. One of the rare manifestations of gastric polyps is Menetrier's disease. Menetrier's disease (MD), also known as giant hypertrophic gastritis, is a progressive disease whose pathogenesis is not fully understood. Though a rare diagnosis, it needs to be well studied due to its association with the neoplasia. Here, we present a case of Menitriere's disease associated with gastrointestinal bleeding and describe its clinical course and outcome.

The role of BMI, serum lipid profile molecules and their derivative indexes in colorectal polyps.

Objectives: To investigate the role of body mass index (BMI), serum lipid profile molecules and their derivative indexes in colorectal polyps. Methods: 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. Results: 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). Conclusions: 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).

Intracholecystic Papillary Neoplasm: A Case Report.

We present a case of a 30-year-old female with symptomatic gallstones and associated gallbladder polyps. An incidental finding of intracholecystic papillary neoplasm (ICPN) with high-grade dysplasia was found after pathological examination of the gallbladder after robotic cholecystectomy. This rare condition can be associated with malignant transformation. In this case report, we discuss this rare entity and share our experience and review of the literature.

Effect of computer aided detection device on the adenoma detection rate and serrated detection rate among trainee fellows.

Background and Aims: The utilization of artificial intelligence (AI) with computer-aided detection (CADe) has the potential to increase the adenoma detection rate (ADR) by up to 30% in expert settings and specialized centers. The impact of CADe on serrated polyp detection rates (SDR) and academic trainees ADR & SDR remains underexplored. We aim to investigate the effect of CADe on ADR and SDR at an academic center with various levels of providers' experience. Methods: A single-center retrospective analysis was conducted on asymptomatic patients between the ages of 45 and 75 who underwent screening colonoscopy. Colonoscopy reports were reviewed for 3 months prior to the introduction of GI Genius™ (Medtronic, USA) and 3 months after its implementation. The primary outcome was ADR and SDR with and without CADe. Results: Totally 658 colonoscopies were eligible for analysis. CADe resulted in statistically significant improvement in SDR from 8.92% to 14.1% (P = 0.037). The (ADR + SDR) with CADe and without CADe was 58% and 55.1%, respectively (P = 0.46). Average colonoscopy (CSC) withdrawal time was 17.33 min (SD 10) with the device compared with 17.35 min (SD 9) without the device (P = 0.98). Conclusion: In this study, GI Genius™ was associated with a statistically significant increase in SDR alone, but not in ADR or (ADR + SDR), likely secondary to the more elusive nature of serrated polyps compared to adenomatous polyps. The use of CADe did not affect withdrawal time.

UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling.

Automatic segmentation of polyps from colonoscopy images plays a critical role in the early diagnosis and treatment of colorectal cancer. Nevertheless, some bottlenecks still exist. In our previous work, we mainly focused on polyps with intra-class inconsistency and low contrast, using ICGNet to solve them. Due to the different equipment, specific locations and properties of polyps, the color distribution of the collected images is inconsistent. ICGNet was designed primarily with reverse-contour guide information and local-global context information, ignoring this inconsistent color distribution, which leads to overfitting problems and makes it difficult to focus only on beneficial image content. In addition, a trustworthy segmentation model should not only produce high-precision results but also provide a measure of uncertainty to accompany its predictions so that physicians can make informed decisions. However, ICGNet only gives the segmentation result and lacks the uncertainty measure. To cope with these novel bottlenecks, we further extend the original ICGNet to a comprehensive and effective network (UM-Net) with two main contributions that have been proved by experiments to have substantial practical value. Firstly, we employ a color transfer operation to weaken the relationship between color and polyps, making the model more concerned with the shape of the polyps. Secondly, we provide the uncertainty to represent the reliability of the segmentation results and use variance to rectify uncertainty. Our improved method is evaluated on five polyp datasets, which shows competitive results compared to other advanced methods in both learning ability and generalization capability. The source code is available at https://github.com/dxqllp/UM-Net.

Association of late eating with colorectal adenomas: a cross-sectional study.

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.

Retrospective study of ureteral stenosis after holmium laser lithotripsy.

OBJECTIVE: To identify the factors influencing postoperative ureteral stenosis following holmium laser lithotripsy. METHODS: A retrospective study was conducted of 106 patients who underwent ureteroscopic holmium laser lithotripsy. The effects of variables including stone location, stone size, the duration of surgery, water intake, disease duration, and stone-associated polyps were investigated. RESULTS: Logistic regression analysis revealed significant associations of ureteral stenosis with stone location, stone size, duration of surgery, water intake, disease duration, and stone-associated polyps. Patients with proximal stones, with large stones, who underwent long surgical procedures, who drank a large amount of water, who had long-term disease, and who had stone-related polyps were more likely to develop postoperative ureteral stenosis. CONCLUSION: Significant perioperative complications of holmium laser lithotripsy are associated with prolonged disease, large ureteral stones, long incarceration periods, and the presence of polyps. Surgeons should consider these risk factors during the preoperative evaluation of patients and surgical planning to minimize the risk of postoperative ureteral stenosis.

Sonographic Characteristics of ≥7 mm Gallbladder Polyps: A Retrospective Analysis.

OBJECTIVES: To describe the sonographic characteristics of gallbladder polyps measuring ≥7 mm focusing on echogenicity, correlate with surgical pathology when available, and assess stability in size over time. METHODS: This retrospective study used a natural language processing application to screen ultrasound (US) reports between January 1, 2012, and December 31, 2020, that contained the words "gallbladder polyp" or "polyps." Reports were reviewed to identify polyps ≥7 mm. The most hyperechoic components of the polyps were compared to the adjacent inner wall of the gallbladder and categorized as more echogenic, isoechoic, and less echogenic. Other sonographic characteristics such as heterogeneity, sessile configuration, vascularity, multiplicity, presence of gallstones, and wall thickening were recorded. Surgical pathology reports were reviewed when available. Polyps in nonsurgical patients with ≥48-month US follow-up and ≤1 mm/year growth rate were characterized as benign. Clinical outcomes were followed until December 31, 2023. RESULTS: Review of 4897 reports yielded 550 reports in 450 patients with polyps ≥7 mm. Surgical pathology reports were available in 22.0% (99/450) of patients; 96 (97%) had non-neoplastic etiologies and 3 (3.0%) neoplastic. There were no malignancies. All of the neoplastic polyps and 56.1% (87/155) of non-neoplastic polyps had components more echogenic than the adjacent inner wall. There were no deaths related to the polyps. CONCLUSIONS: The vast majority of gallbladder polyps are benign. In our large series of gallbladder polyps, we found that increased echogenicity is a nonspecific feature, found in slightly more than half of benign but also in all neoplastic polyps. Our findings support current Society of Radiologists in Ultrasound consensus guidelines.

Comparison of cold snare endoscopic mucosal resection and hot snare endoscopic mucosal resection for small colorectal polyps: a randomized controlled trial.

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.

Fibroepithelial polyps causing obstructive hydronephrosis treated with pyeloplasty: A case report.

Fibroepithelial polyps (FEP) are rare benign tumors urinary collecting system. Diagnosis is suspected on Computed Tomography (CT) and confirmed via histopathology. Treatment options vary from historic nephroureterectomy to more contemporary methods of ablation. Authors present a case of a symptomatic FEP causing left-sided hydronephrosis and episodic flank pain treated by a urologic surgeon. The patient underwent robotic pyeloplasty and excision of the tumors, yielding preserved renal function and resolution of the hydronephrosis.