Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial.
作者信息
Ladabaum Uri, Shepard John, Weng Yingjie, Desai Manisha, Singer Sara J, Mannalithara Ajitha
机构信息
Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Critical Care Quality and Strategic Initiatives, Stanford Health Care, Stanford, California.
出版信息
Gastroenterology. 2023 Mar;164(3):481-483.e6. doi: 10.1053/j.gastro.2022.12.004. Epub 2022 Dec 15.
Abstract
摘要
相似文献
1
Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial.在一项实际应用试验中，计算机辅助息肉检测并不能提高结肠镜检查医生的表现。
Gastroenterology. 2023 Mar;164(3):481-483.e6. doi: 10.1053/j.gastro.2022.12.004. Epub 2022 Dec 15.
2
Computer-aided diagnosis for CT colonography.计算机辅助CT结肠成像诊断
Semin Ultrasound CT MR. 2004 Oct;25(5):419-31. doi: 10.1053/j.sult.2004.07.002.
3
Computed tomographic colonography: assessment of radiologist performance with and without computer-aided detection.计算机断层结肠成像：有和没有计算机辅助检测时放射科医生的表现评估
Gastroenterology. 2006 Dec;131(6):1690-9. doi: 10.1053/j.gastro.2006.09.051. Epub 2006 Oct 1.
4
Comparison of optical colonoscopy and CT colonography for polyp detection.光学结肠镜检查与CT结肠成像在息肉检测中的比较。
AJR Am J Roentgenol. 2009 Nov;193(5):1289-90. doi: 10.2214/AJR.09.3311.
5
Colorectal polyps: detection with low-dose multi-detector row helical CT colonography versus two sequential colonoscopies.结直肠息肉：低剂量多层螺旋CT结肠成像与两次序贯结肠镜检查的检测比较
Radiology. 2005 Dec;237(3):927-37. doi: 10.1148/radiol.2373041747.
6
Computer-aided detection of colonic polyps at CT colonography using a Hessian matrix-based algorithm: preliminary study.使用基于黑塞矩阵的算法在CT结肠造影中进行结肠息肉的计算机辅助检测：初步研究。
AJR Am J Roentgenol. 2007 Jul;189(1):41-51. doi: 10.2214/AJR.07.2072.
7
Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation.利用曲率估计的插值来提高 CT 结肠成像中小息肉的计算机辅助检测。
Med Phys. 2011 Jul;38(7):4276-84. doi: 10.1118/1.3596529.
8
Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps.用于检测结肠息肉的三维计算机辅助诊断方案。
IEEE Trans Med Imaging. 2001 Dec;20(12):1261-74. doi: 10.1109/42.974921.
9
Colorectal polyps: stand-alone performance of computer-aided detection in a large asymptomatic screening population.结直肠息肉：在大型无症状筛查人群中，计算机辅助检测的独立表现。
Radiology. 2010 Sep;256(3):791-8. doi: 10.1148/radiol.10092292. Epub 2010 Jul 27.
10
Computer-aided detection of polyps on oral contrast-enhanced CT colonography.口腔对比增强CT结肠成像中息肉的计算机辅助检测
AJR Am J Roentgenol. 2005 Jan;184(1):105-8. doi: 10.2214/ajr.184.1.01840105.
引用本文的文献
1
Pragmatic Implementation Study of a Computer-Aided Detection Device on Colonoscopy Outcomes at a Trainee-Dominated Academic County Hospital.在一所实习生主导的学术性县级医院对计算机辅助检测设备用于结肠镜检查结果的实用性实施研究。
Dig Dis Sci. 2025 Aug 26. doi: 10.1007/s10620-025-09352-w.
2
Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis.常规医学影像中实施人工智能的促进因素和障碍：系统评价与定性分析
J Med Internet Res. 2025 Jul 21;27:e63649. doi: 10.2196/63649.
3
Artificial Intelligence-assisted Endoscopy and Examiner Confidence: A Study on Human-Artificial Intelligence Interaction in Barrett's Esophagus (With Video).人工智能辅助内镜检查与检查者信心：巴雷特食管中人机交互的研究（附视频）
DEN Open. 2025 Jun 19;6(1):e70150. doi: 10.1002/deo2.70150. eCollection 2026 Apr.
4
Evaluation of the cecal withdrawal vocal timer in screening colonoscopies for optimizing withdrawal time and adenoma detection rate.在结肠镜筛查中评估盲肠退缩语音定时器以优化退缩时间和腺瘤检出率。
Therap Adv Gastroenterol. 2025 May 28;18:17562848251341752. doi: 10.1177/17562848251341752. eCollection 2025.
5
Where technology meets technique: computer-aided detection and mucosal exposure device to improve adenoma detection.技术与技巧的结合：计算机辅助检测与黏膜暴露装置以提高腺瘤检测率
Clin Endosc. 2025 May;58(3):404-405. doi: 10.5946/ce.2025.079. Epub 2025 May 23.
6
Optimal Approach to Colorectal Cancer Screening.结直肠癌筛查的最佳方法。
Gastroenterol Hepatol (N Y). 2025 Mar;21(3):163-171.
7
"The Machine Will See You Now": A Clinician's Perspective on Artificial "Intelligence" In Clinical Care.“机器现在将为您服务”：临床医生对临床护理中人工智能的看法。
Mov Disord Clin Pract. 2025 May;12(5):588-591. doi: 10.1002/mdc3.70054. Epub 2025 Mar 20.
8
Optimized computer-assisted technique for increasing adenoma detection during colonoscopy: a randomized controlled trial.结肠镜检查期间增加腺瘤检测的优化计算机辅助技术：一项随机对照试验。
Surg Endosc. 2025 Feb;39(2):1120-1127. doi: 10.1007/s00464-024-11466-7. Epub 2024 Dec 19.
9
A prospective comparison of two computer aided detection systems with different false positive rates in colonoscopy.两种结肠镜检查中具有不同假阳性率的计算机辅助检测系统的前瞻性比较。
NPJ Digit Med. 2024 Dec 19;7(1):366. doi: 10.1038/s41746-024-01334-y.
10
Effects of artificial intelligence implementation on efficiency in medical imaging-a systematic literature review and meta-analysis.人工智能在医学成像中的应用对效率的影响——一项系统的文献综述和荟萃分析
NPJ Digit Med. 2024 Sep 30;7(1):265. doi: 10.1038/s41746-024-01248-9.
本文引用的文献
1
Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice.人工智能辅助结肠镜检查在常规临床实践中并未增加腺瘤检出率。
Am J Gastroenterol. 2022 Nov 1;117(11):1871-1873. doi: 10.14309/ajg.0000000000001970. Epub 2022 Aug 23.
2
Association of Physician Adenoma Detection Rates With Postcolonoscopy Colorectal Cancer.腺瘤检出率与结肠镜检查后结直肠癌的关系。
JAMA. 2022 Jun 7;327(21):2114-2122. doi: 10.1001/jama.2022.6644.
3
Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia.人工智能对结直肠肿瘤漏诊率的影响。
Gastroenterology. 2022 Jul;163(1):295-304.e5. doi: 10.1053/j.gastro.2022.03.007. Epub 2022 Mar 15.
4
Artificial intelligence and colonoscopy experience: lessons from two randomised trials.人工智能与结肠镜检查经验：两项随机试验的教训。
Gut. 2022 Apr;71(4):757-765. doi: 10.1136/gutjnl-2021-324471. Epub 2021 Jun 29.
5
Developing and Deploying an Automated Quality Reporting System in Your Practice: Learning From the Stanford Colonoscopy Quality Assurance Program.在您的医疗机构中开发和部署自动化质量报告系统：借鉴斯坦福结肠镜检查质量保证计划。
Am J Gastroenterol. 2021 Jul 1;116(7):1365-1370. doi: 10.14309/ajg.0000000000001265.
6
Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method.确立人工智能在结肠镜检查中应用的关键研究问题：一项改良 Delphi 法研究。
Endoscopy. 2021 Sep;53(9):893-901. doi: 10.1055/a-1306-7590. Epub 2021 Jan 13.
7
Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.实时计算机辅助检测在结直肠肿瘤随机试验中的疗效。
Gastroenterology. 2020 Aug;159(2):512-520.e7. doi: 10.1053/j.gastro.2020.04.062. Epub 2020 May 1.
8
New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection.新型人工智能系统：与经验丰富的内镜医师在结直肠息肉检测方面的首次验证研究。
Gut. 2020 May;69(5):799-800. doi: 10.1136/gutjnl-2019-319914. Epub 2019 Oct 15.
9
Designing Difference in Difference Studies: Best Practices for Public Health Policy Research.设计双重差分研究：公共卫生政策研究的最佳实践。
Annu Rev Public Health. 2018 Apr 1;39:453-469. doi: 10.1146/annurev-publhealth-040617-013507. Epub 2018 Jan 12.
10
Making sense of implementation theories, models and frameworks.理解实施理论、模型和框架。
Implement Sci. 2015 Apr 21;10:53. doi: 10.1186/s13012-015-0242-0.
Zotero 插件