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人工智能在乳腺成像中的应用进展。

Updates in Artificial Intelligence for Breast Imaging.

机构信息

Massachusetts General Hospital, Department of Radiology, Boston, MA.

出版信息

Semin Roentgenol. 2022 Apr;57(2):160-167. doi: 10.1053/j.ro.2021.12.005. Epub 2021 Dec 31.

DOI:10.1053/j.ro.2021.12.005
PMID:35523530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9077006/
Abstract

Artificial intelligence (AI) for breast imaging has rapidly moved from the experimental to implementation phase. As of this writing, Food and Drug Administration (FDA)-approved mammographic applications are available for triage, lesion detection and classification, and breast density assessment. For sonography and MRI, FDA-approved applications are available for lesion classification. Numerous other interpretive and noninterpretive AI applications are in the development phase. This article reviews AI applications for mammography, sonography, and MRI that are currently available for clinical use. In addition, clinical implementation and the future of AI for breast imaging are discussed.

摘要

人工智能(AI)在乳腺成像领域的应用已经迅速从实验阶段进入实施阶段。截至本文撰写之时,已有获得美国食品和药物管理局(FDA)批准的乳腺摄影应用程序可用于分诊、病灶检测和分类以及乳腺密度评估。对于超声和 MRI,已有获得 FDA 批准的应用程序可用于病灶分类。还有许多其他解释性和非解释性的 AI 应用程序处于开发阶段。本文回顾了目前可用于临床应用的乳腺摄影、超声和 MRI 的 AI 应用。此外,还讨论了 AI 在乳腺成像中的临床应用和未来发展。

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本文引用的文献

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Screening Breast Ultrasound Using Handheld or Automated Technique in Women with Dense Breasts.在乳腺致密的女性中使用手持或自动技术进行乳腺超声筛查。
J Breast Imaging. 2019 Dec 5;1(4):283-296. doi: 10.1093/jbi/wbz055.
2
Impact of Original and Artificially Improved Artificial Intelligence-based Computer-aided Diagnosis on Breast US Interpretation.基于人工智能的原始及人工改进的计算机辅助诊断对乳腺超声解读的影响
J Breast Imaging. 2021 May 21;3(3):301-311. doi: 10.1093/jbi/wbab013.
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Clinical Artificial Intelligence Applications: Breast Imaging.
特邀评论:人工智能在数字乳腺断层合成中的力量与前景
Radiographics. 2023 Jan;43(1):e220162. doi: 10.1148/rg.220162.
临床人工智能应用:乳腺成像。
Radiol Clin North Am. 2021 Nov;59(6):1027-1043. doi: 10.1016/j.rcl.2021.07.010.
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Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study.深度学习超声放射组学可预测早期治疗阶段乳腺癌新辅助化疗的反应:一项前瞻性研究。
Eur Radiol. 2022 Mar;32(3):2099-2109. doi: 10.1007/s00330-021-08293-y. Epub 2021 Oct 15.
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Evaluation and Real-World Performance Monitoring of Artificial Intelligence Models in Clinical Practice: Try It, Buy It, Check It.临床实践中人工智能模型的评估和真实世界性能监测:试一试、买一买、查一查。
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