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人工智能辅助内镜改变了溃疡性结肠炎黏膜愈合的定义。

Artificial intelligence-assisted endoscopy changes the definition of mucosal healing in ulcerative colitis.

机构信息

Department of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.

出版信息

Dig Endosc. 2021 Sep;33(6):903-911. doi: 10.1111/den.13825. Epub 2020 Oct 8.


DOI:10.1111/den.13825
PMID:32909283
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8647580/
Abstract

The relevance of endoscopic monitoring of ulcerative colitis (UC) has been translated into the new concept of "mucosal healing (MH)" as the therapeutic goal to achieve because a large amount of scientific data have revealed the favorable prognostic value of a healed mucosa in determining the clinical outcome of UC. Recent interest in MH has skewed toward not only endoscopic remission but also histological improvement (so called histological MH). However, we should recognize that there have been no prospectively validated endoscopic scoring systems of UC activity in previous clinical trials. Artificial intelligence (AI)-assisted endoscopy has been developed for gastrointestinal cancer surveillance. Recently, several AI-assisted endoscopic systems have been developed for assessment of MH in UC. In the future, the development of a new endoscopic scoring system based on AI might standardize the definition of MH. Therefore, "The road to an exact definition of MH in the treatment of UC has begun only now".

摘要

溃疡性结肠炎(UC)内镜监测的相关性已转化为新的“黏膜愈合(MH)”治疗目标,因为大量科学数据揭示了愈合的黏膜在确定 UC 的临床结果方面具有良好的预后价值。最近,人们对 MH 的兴趣不仅转向了内镜缓解,也转向了组织学改善(所谓的组织学 MH)。然而,我们应该认识到,在以前的临床试验中,还没有针对 UC 活动的经过前瞻性验证的内镜评分系统。人工智能(AI)辅助内镜检查已开发用于胃肠道癌症监测。最近,已经开发了几种用于评估 UC 中 MH 的 AI 辅助内镜系统。在未来,基于 AI 的新型内镜评分系统的开发可能会使 MH 的定义标准化。因此,“UC 治疗中 MH 的确切定义之路才刚刚开始”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/01a1ea28921d/DEN-33-903-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/0d994459643f/DEN-33-903-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/8971fceced98/DEN-33-903-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/cfaf2197d3ba/DEN-33-903-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/d0954c768e16/DEN-33-903-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/01a1ea28921d/DEN-33-903-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/0d994459643f/DEN-33-903-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/8971fceced98/DEN-33-903-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/cfaf2197d3ba/DEN-33-903-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/d0954c768e16/DEN-33-903-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e602/8647580/01a1ea28921d/DEN-33-903-g002.jpg

相似文献

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引用本文的文献

[1]
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Exp Ther Med. 2025-5-27

[2]
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[3]
Artificial intelligence-driven strategies for managing renal and urinary complications in inflammatory bowel disease.

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[4]
The role of efferocytosis in inflammatory bowel disease.

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[5]
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Int J Colorectal Dis. 2024-10-28

[6]
Comparative Value of CRP and FCP for Endoscopic and Histologic Remissions in Ulcerative Colitis.

Diagnostics (Basel). 2024-10-14

[7]
Predictive value of serum markers for mucosal healing in patients with inflammatory bowel disease.

Am J Transl Res. 2024-8-15

[8]
Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment.

Front Med (Lausanne). 2023-9-19

[9]
Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale.

Dig Endosc. 2024-5

[10]
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Am J Gastroenterol. 2023-11-1

本文引用的文献

[1]
Is artificial intelligence a superior diagnostician in ulcerative colitis?

Endoscopy. 2021-2

[2]
Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.

Gastroenterology. 2020-6

[3]
A novel endoscopic imaging system for quantitative evaluation of colonic mucosal inflammation in patients with quiescent ulcerative colitis.

Endosc Int Open. 2020-1

[4]
Automatic, computer-aided determination of endoscopic and histological inflammation in patients with mild to moderate ulcerative colitis based on red density.

Gut. 2020-10

[5]
Machine learning applications in epilepsy.

Epilepsia. 2019-9-3

[6]
Deep learning for cellular image analysis.

Nat Methods. 2019-5-27

[7]
Performance of a Deep Learning Model vs Human Reviewers in Grading Endoscopic Disease Severity of Patients With Ulcerative Colitis.

JAMA Netw Open. 2019-5-3

[8]
Optimizing the Use of Current Treatments and Emerging Therapeutic Approaches to Achieve Therapeutic Success in Patients with Inflammatory Bowel Disease.

Gut Liver. 2020-1-15

[9]
Novel computer-assisted diagnosis system for endoscopic disease activity in patients with ulcerative colitis.

Gastrointest Endosc. 2018-10-24

[10]
Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video).

Gastrointest Endosc. 2018-9-27

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