• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

相似文献

1
Beyond the : Should Imaging-Based Risk Assessment Tools Be Used in Lung Cancer Screening?除此之外：基于成像的风险评估工具应用于肺癌筛查吗？
AJR Am J Roentgenol. 2023 Sep;221(3):390. doi: 10.2214/AJR.23.29060. Epub 2023 Feb 1.
2
Beyond the : "Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model".超越《利用胸部X光片进行深度学习以识别肺癌筛查计算机断层扫描的高危吸烟者：预测模型的开发与验证》。
AJR Am J Roentgenol. 2021 Aug;217(2):521. doi: 10.2214/AJR.20.25334. Epub 2020 Dec 23.
3
Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.利用胸部X光片进行深度学习以识别肺癌筛查计算机断层扫描的高危吸烟者：预测模型的开发与验证
Ann Intern Med. 2020 Nov 3;173(9):704-713. doi: 10.7326/M20-1868. Epub 2020 Sep 1.
4
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.利用深度学习实现 CT 肺癌筛查中的放射科医生级别的癌症风险评估。
Comput Med Imaging Graph. 2021 Jun;90:101883. doi: 10.1016/j.compmedimag.2021.101883. Epub 2021 Mar 5.
5
Pros and Cons of Applying Deep Learning Automatic Scan-Range Adjustment to Low-Dose Chest CT in Lung Cancer Screening Programs.在肺癌筛查项目中对低剂量胸部CT应用深度学习自动扫描范围调整的利弊
Acad Radiol. 2022 Oct;29(10):1552-1554. doi: 10.1016/j.acra.2022.02.017. Epub 2022 Apr 8.
6
Time to Scrutinize and Revise the Fine Print of Lung Cancer Screening Using Low-Dose CT: Seeking Greater Confidence in Cancer Detectability.是时候仔细审查和修订低剂量CT肺癌筛查的细则了：寻求对癌症可检测性更有信心。
Radiology. 2022 Apr;303(1):213-214. doi: 10.1148/radiol.213084. Epub 2022 Jan 18.
7
Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.利用低剂量胸部 CT 扫描进行肺癌筛查，实现骨质疏松症自动机会性筛查。
Eur Radiol. 2020 Jul;30(7):4107-4116. doi: 10.1007/s00330-020-06679-y. Epub 2020 Feb 19.
8
Development of Deep Learning-based Automatic Scan Range Setting Model for Lung Cancer Screening Low-dose CT Imaging.基于深度学习的肺癌筛查低剂量CT成像自动扫描范围设定模型的开发
Acad Radiol. 2022 Oct;29(10):1541-1551. doi: 10.1016/j.acra.2021.12.001. Epub 2022 Feb 5.
9
Thinking beyond the treatment effect in screening for lung cancer.肺癌筛查中超越治疗效果的思考。
Acad Radiol. 2015 Aug;22(8):983-4. doi: 10.1016/j.acra.2015.05.006. Epub 2015 Jun 19.
10
Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.低剂量 CT 随访筛查中肺癌风险的预测：深度学习方法的训练和验证研究。
Lancet Digit Health. 2019 Nov;1(7):e353-e362. doi: 10.1016/S2589-7500(19)30159-1. Epub 2019 Oct 17.

本文引用的文献

1
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.西比尔：一种从单次低剂量胸部 CT 预测未来肺癌风险的经过验证的深度学习模型。
J Clin Oncol. 2023 Apr 20;41(12):2191-2200. doi: 10.1200/JCO.22.01345. Epub 2023 Jan 12.
2
Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.人工智能与医疗决策的黑箱：准确性与可解释性
Hastings Cent Rep. 2019 Jan;49(1):15-21. doi: 10.1002/hast.973.
3
Implications of Nine Risk Prediction Models for Selecting Ever-Smokers for Computed Tomography Lung Cancer Screening.九种风险预测模型对选择持续吸烟者进行计算机断层扫描肺癌筛查的影响。
Ann Intern Med. 2018 Jul 3;169(1):10-19. doi: 10.7326/M17-2701. Epub 2018 May 15.
4
Lung Cancer in Never Smokers.从不吸烟者的肺癌
Adv Exp Med Biol. 2016;893:43-57. doi: 10.1007/978-3-319-24223-1_3.
5
Selection criteria for lung-cancer screening.肺癌筛查的选择标准。
N Engl J Med. 2013 Feb 21;368(8):728-36. doi: 10.1056/NEJMoa1211776.

Beyond the : Should Imaging-Based Risk Assessment Tools Be Used in Lung Cancer Screening?

作者信息

Hochhegger Bruno, Braithwaite Dejana

机构信息

Department of Radiology, University of Florida, 1600 SW Archer Rd, Gainesville, FL 32608.

University of Florida Health Cancer Center, Gainesville, FL.

出版信息

AJR Am J Roentgenol. 2023 Sep;221(3):390. doi: 10.2214/AJR.23.29060. Epub 2023 Feb 1.

DOI:10.2214/AJR.23.29060
PMID:36722762
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10801696/
Abstract
摘要