Techniques and Innovations in Gastrointestinal Endoscopy消化内镜技术与创新

Techniques and Innovations in Gastrointestinal Endoscopy(英文缩写 TECH INNOVAT GASTROI),ISSN 2666-5107,eISSN 2590-0307,中文译名:消化内镜技术与创新 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
1.100
JCR 分区
Q4
CAS 分区
B4
近一年发文量
1
本站 PubMed 收录统计

发文量统计区间:2025-10-01 至 2026-09-30,按本站收录文献的发表日期统计。

ISSN: 2666-5107 · eISSN: 2590-0307 · 缩写: TECH INNOVAT GASTROI ·中文: 消化内镜技术与创新

期刊介绍

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期刊简介

Techniques and Innovations in Gastrointestinal Endoscopy 是一本聚焦消化内镜技术与创新的英文期刊,内容涵盖内镜操作技巧、器械研发、影像增强及临床转化研究。读者群主要为消化内科医师、内镜医师、外科医生及生物医学工程师。期刊强调技术实用性与创新性,适合关注内镜诊疗进展的专业人员阅读和投稿。

研究方向

主要方向包括消化道内镜诊断与治疗新技术、内镜设备改良、人工智能辅助内镜、图像增强与分子成像、微创介入操作及临床验证研究。论文类型以原创研究、技术综述、操作视频与病例报告为主,兼有专家述评和短篇技术通讯。

期刊特色

研究取向偏重技术可行性与临床实用性,鼓励展示新器械、新术式或改良操作流程。论文通常配有操作演示或影像资料,强调可重复性和教学价值。适合内镜医师、临床工程师及从事微创诊疗的研究者交流经验与早期成果。

投稿难度

投稿难度中等偏下,但并非仅因分区较低而容易录用。期刊重视技术新颖性和临床意义,对操作细节、影像质量和伦理描述要求较严。建议投稿前完善方法学描述,补充对比数据或随访结果,并确保视频资料清晰规范。

历年影响因子趋势

JCR 数据年份影响因子JCR 分区
20222.400N/A
20231.200Q4
20240.900Q4
20251.100Q4

Techniques and Innovations in Gastrointestinal Endoscopy 最新收录文献

  1. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    1. Preoperative Prediction of Subtype and Artificial Intelligence-Driven Endomicroscopy Detection of Advanced Neoplasia in Intraductal Papillary Mucinous Neoplasms.

    作者:
    Bryn D Koehler, Wei Chen, Ashwini K Esnakula, Wendy L Frankel, Ahmed Abdelbaki, Stacey Culp, Ziwei Li, Wei-Lun Chao, Phil A Hart, Timothy M Pawlik, Zarine K Shah, Somashekar G Krishna
    日期:
    2026-01-01

    Non-gastric subtype of branch duct (BD)-intraductal papillary mucinous neoplasms (IPMNs) are associated with high-grade dysplasia/invasive adenocarcinoma (HGD/IC) and disease progression. We evaluated preoperative prediction of gastric vs. non-gastric BD-IPMN subtypes and assessed a needle-based confocal laser endomicroscopy-guided artificial intelligence algorithm () for detecting HGD/IC in pathologist-reclassified BD-IPMNs. Participants with resected BD-IPMNs were enrolled from prospective studies (2015-2024). : lesions were reclassified by subtype and dysplasia grade through blinded pathologist review, with discordant cases receiving MUC immunostaining and consensus review. : using this reclassified pathology data, preoperative clinical and morphological features were analyzed to predict BD-IPMN subtypes. performance in detecting HGD/IC within reclassified gastric and non-gastric BD-IPMNs was evaluated using preoperative endomicroscopy videos. Among 63 resected BD-IPMNs (mean diameter=35.0±10.1 mm), 38% were classified as HGD/IC. The interobserver agreement among pathologists for subtype classification was moderate (k=0.52; 95%CI: 0.27-0.77). Multivariable analysis or preoperative variables revealed Kyoto high-risk stigmata (aOR=11.568, p=0.007), unifocal lesions (aOR=8.354, p=0.041), and lower BMI (aOR=1.37, p=0.04) predicted non-gastric subtype. The algorithm using presurgical endomicroscopy imaging showed comparable sensitivity for detecting HGD/IC in non-gastric and gastric IPMN subtypes (83% vs. 82%, p=0.92), but significantly higher specificity (100% vs. 44%, p=0.06) and accuracy (87% vs. 53%, p<0.02) in the non-gastric subtype. Moderate interobserver variability in BD-IPMN subtype classification among pathologists highlights the need for immunohistochemistry and consensus review in challenging cases. Preoperative clinical variables can predict non-gastric subtype which is associated with less favorable prognosis. shows improved performance in detecting HGD/IC in non-gastric BD-IPMNs, where accurate risk stratification is particularly important due to higher risk of progression.

  2. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    2. Artificial Intelligence Advances Digital Pathomics for Confocal Endomicroscopy Diagnosis of Pancreatic Cysts.

    作者:
    Ahmed Abdelbaki, Ziwei Li, Tai-Yu Pan, Justin Lee, Arpita Chowdhury, Stacey Culp, Bipul Gnyawali, Tassiana G Maloof, Aayush B Vishwanath, Sohil Narasimha Reddy, Dylan Mink, Wei Chen, Phil A Hart, Timothy M Pawlik, Wei-Lun Chao, Somashekar G Krishna
    日期:
    2025-05-22

    Endoscopic ultrasound-guided needle-based confocal laser endomicroscopy (nCLE) provides real-time optical biopsies enabling diagnosis and risk stratification of intraductal papillary mucinous neoplasms (IPMNs). However, the clinical implementation of Endoscopic ultrasound-nCLE is hindered by time-consuming image review and interobserver variability. We aimed to optimize artificial intelligence (AI) models to accurately detect diagnostic structures to address these gaps. Participants with definitive IPMN diagnoses were selected from prospective studies (2015-2023). Two observers labeled endomicroscopy images used to develop AI models to detect informative segments. Performance was assessed using area under the curve, sensitivity, specificity, and accuracy. In 66 endomicroscopy videos of IPMNs, 291,045 frames were analyzed, with 15.5% showing papillary or vascular structures and 84.5% lacking structures. Four classification (pattern recognition) and segmentation (image division) models were tested to evaluate binary detection outcomes (papillae vs other) and ternary detection outcomes (papillae, vascularity, and nonstructure). The classification model DINOv2-ViT-G outperformed all others for the binary outcome, achieving an area under the curve of 0.942, sensitivity of 80.6%, specificity of 90.6%, and accuracy of 89.3%. For the ternary outcome, only classification models were used because labeling areas for segmentation models to detect vascularity was impractical. DINOv2-ViT-G similarly demonstrated the best performance, with sensitivities for detecting papillae, vascularity, and nonstructure of 81.7%, 82.0%, and 80.5%, respectively. The DINOv2-ViT-G model reduced nCLE video duration to 1.85 minutes of high-yield, structure-containing segments, saving 4.27 minutes (70%) per IPMN case ( < 0.001). Optimized AI models for structure identification enhance the clinical utility of nCLE by generating high-yield diagnostic segments, ensuring consistent and accurate interpretation, reducing manual effort, and enabling the development of fully autonomous systems in the future.

  3. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    3. AN ELECTRONIC MEDICAL RECORD PREDICTION MODEL TO IDENTIFY INADEQUATE BOWEL PREPARATION IN PATIENTS AT OUTPATIENT COLONOSCOPY.

    作者:
    Jared A Sninsky, Vincent Toups, Cary Cotton, Anne F Peery, Shifali Arora
    日期:
    2023-12-26

    Inadequate bowel preparation during colonoscopy is associated with decreased adenoma detection, increased costs, and patient procedural risks. This study aimed to develop a prediction model for identifying patients at high risk of inadequate bowel preparation for potential clinical integration into the EMR. A retrospective study was conducted using outpatient screening/surveillance colonoscopies at the University of North Carolina (UNC) from 2017 to 2022. Data were extracted from the EMRs of and , including demographic, socioeconomic, and clinical variables. Logistic regression, LASSO regression, and gradient boosting machine (GBM) models were evaluated and validated in a held-out testing set. The dataset included 23,456 colonoscopies, of which 6.25% had inadequate bowel preparation. The reduced LASSO regression model demonstrated an area under the curve (AUC) of 0.65 [95% CI 0.63-0.67] in the held-out testing set. The relative risk of inadequate bowel prep in the high-risk group determined by the model was 2.42 (95% CI 2.07-2.82), compared to patients identified as low risk. The model calibration in the testing set revealed that among patients categorized as having 0-11%, 11-22%, and 22-33% predicted risk of inadequate prep, the respective proportions of patients with inadequate prep were 5.5%, 19.3%, and 33.3%. Using the reduced LASSO model, a rudimentary code for a potential Epic FHIR application called was developed. This study developed a prediction model for inadequate bowel preparation with the potential to integrate into the EMR for clinical use and optimize bowel preparation to improve patient care.

  4. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    4. Gaps and improvement opportunities in post-colonoscopy communication.

    作者:
    Paolo R Ramirez, Andrew A Pineda, Andrew W Schultz, Michael Mayo Smith, Audrey H Calderwood
    日期:
    2023-10-22

    该文献暂无摘要。

  5. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    5. Development and Validation of an Automated, Real-time Adenoma Detection Rate and Colonoscopy Quality Metrics Calculator.

    作者:
    Todd A Brenner, Branislav Bujnak, Matthew Alverson, Alexandra T Strauss, Anmol Singh, Saowanee Ngamruengphong, Mouen Khashab, Vikesh Singh, Eun Ji Shin, Venkata S Akshintala
    日期:
    2023-07-28

    High-quality colonoscopy reduces the risk of death from colorectal cancer. The adenoma detection rate (ADR) is the principal measure of colonoscopy quality but is onerous to calculate. We report the development of a fully automated platform for calculation of the ADR and other key colonoscopy quality indicators without the need for manual data entry. Endoscopy and pathology reports from 6 centers were collected over a 3-month period and collated using a novel data transfer interface. Text-based classification parameters were developed to identify average-risk screening colonoscopies, adenomatous pathology, cecal intubation, and withdrawal time. Automated quality metrics calculators based on these classifications were built into a web-based reporting platform, and the resulting quality metrics were benchmarked against those produced through a manual record review. Confirmation of the calculator's performance was performed in a validation cohort with data collected over a 1-month period, 6 months after the initial study. The study included 3809 colonoscopies (mean age 56.1 ± 6.40 years, 53.7% female, 38 endoscopists). The automated calculator yielded an ADR of 45.1% compared with 44.3% on manual review. Correct classification of ADR-qualifying screening colonoscopies was achieved with high predictive value, with a sensitivity of 0.918 and specificity of 1.0. The cecal intubation rate was 95.8%, and the average withdrawal time was 10:05 minutes. We demonstrate the feasibility and performance of a colonoscopy quality reporting platform capable of calculating the ADR and other key metrics using novel, fully automated pathology report integration and a text query-based classification accessible in a wide range of practice settings.

  6. JCR分区: Q4 CAS分区: B4 影响因子: 1.1
  7. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    7. Reducing disparities and achieving health equity in colorectal cancer screening.

    作者:
    Abraham Segura, Shazia Mehmood Siddique
    日期:
    2023-03-01

    Increases in colorectal cancer screening are linked to the declining incidence of the disease over the past three decades. These favorable trends, however, are not observed in marginalized racial and ethnic populations with disproportionately lower rates of screening, higher disease incidence, and increased mortality despite advances in health technology and policy. This review describes the differences in screening uptake and test selection amongst racial and ethnic groups, discusses known obstacles and facilitators that impact screening, and highlights existing frameworks developed to achieve health equity in colorectal cancer screening.

  8. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    8. Closure of Mucosal Defects Using Endoscopic Suturing Following Endoscopic Submucosal Dissection: A Single-Center Experience.

    作者:
    Osman Ali, Andrew Canakis, Yuting Huang, Harsh Patel, Madeline Alizadeh, Raymond E Kim
    日期:
    2022-11-12

    Endoscopic submucosal dissection (ESD) is a therapeutic technique for en-bloc resection of both large (>20 mm) and smaller, complex gastrointestinal neoplasms. ESD has a higher success rate of en-bloc resection and a lower rate of local recurrence compared to endoscopic mucosal resection (EMR). Removal of lesions via ESD can leave large mucosal defects, raising unique challenges leading to adverse events. We aimed to determine clinical outcomes including delayed bleeding, perforation and hospitalization in patients undergoing endoscopic suturing following ESD. Single-center retrospective study of a prospectively collected database of consecutive adult patients who underwent ESD with mucosal defect closure using endoscopic suturing. Primary outcomes were adverse events, specifically, delayed bleeding or perforation. Secondary outcomes included need for hospitalization and suturing complications. 55 patients (mean age: 67 years) were included with a mean lesion size of 27.4 mm ± 15. Defect closure occurred in the esophagus (6), gastroesophageal junction (2), stomach (30), cecum (2), sigmoid colon (2) and rectum (13). A mean of 1.8 ± 1.0 sutures were required for defect closure. Hospital admission rates were 14% (8/55) with an average length of stay 2 days (range: 1-3 days). Intra-procedure perforation occurred in two patients and both were successfully treated with endoscopic suturing. There was one case of delayed bleeding and no cases of delayed perforation or suturing complications. The use of endoscopic suturing following ESD is a safe and clinically reliable method to close mucosal defects. This approach is associated with minimal adverse events and need for hospitalization. Larger studies are needed to further validate these findings.

  9. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    9. Critical Illness Cholangiopathy in COVID-19 Long-haulers.

    作者:
    Nasir Saleem, Betty H Li, Raj Vuppalanchi, Samer Gawrieh, Mark A Gromski
    日期:
    2022-05-21

    该文献暂无摘要。

  10. JCR分区: Q4 CAS分区: B4 影响因子: 1.1

    10. Yield of Post-Acute Diverticulitis Colonoscopy for Ruling Out Colorectal Cancer.

    作者:
    John M Azizian, Harry Trieu, Thomas O Kovacs, Joanna Turkiewicz, Robin Hilder, Samantha Palmer, Michelle Le Roux, Tien Dong, Rani Berry, Simon W Beaven, James H Tabibian
    日期:
    2022-04-18

    Colonoscopy is recommended post-acute diverticulitis (AD) to exclude underlying adenocarcinoma (CRC). However, post-AD colonoscopy utility remains controversial. We aimed to examine yield of post-AD colonoscopy in our majority-Hispanic patient population. Patients undergoing post-AD colonoscopy between 11/1/2015-7/31/2021 were identified from a prospectively maintained endoscopic database. AD cases without computed tomography confirmation were excluded. Pertinent data, including complicated vs uncomplicated AD, fecal immunochemical test (FIT) result post-AD/pre-colonoscopy, and number/type/location of non-advanced adenomas, advanced adenomas, and CRC, were abstracted. Analyses were conducted using two-sample Wilcoxon rank-sum and Fisher's exact tests. 208 patients were included, of whom 62.0% had uncomplicated AD. Median age was 53, 54.3% were female, and 77.4% were Hispanic. Ninety non-advanced adenomas were detected in 45 patients (21.6%), in addition to advanced adenoma in eight patients (3.8%). Two patients (1.0%) had CRC, both of whom had complicated AD in the same location seen on imaging, and one of whom was FIT+ (the other had not undergone FIT). Patients with uncomplicated versus complicated AD had similarly low rates of advanced adenomas (4.7% vs. 2.5%, p=0.713). FIT data were available in 51 patients and positive in three (5.9%); non-advanced adenomas were found in all three FIT+ patients. No FIT- patient had an advanced adenoma or CRC. Colonoscopy post-AD is generally low yield, with CRC being rare and found only in those with complicated AD. Colonoscopy post-complicated AD appears advisable, whereas less invasive testing (e.g. FIT) may be considered post-uncomplicated AD to inform the need for colonoscopy.

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