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Response to the New USPSTF Recommendations on Breast Cancer Screening: Shared Decision-Making is the Cornerstone of Person-Centered Care.

作者信息

Schrager Sarina, Burnside Elizabeth S

机构信息

Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

出版信息

Mayo Clin Proc. 2024 Nov;99(11):1689-1692. doi: 10.1016/j.mayocp.2024.06.009. Epub 2024 Oct 9.

DOI:10.1016/j.mayocp.2024.06.009
PMID:39387796
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11532005/
Abstract
摘要

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本文引用的文献

1
A Scoping Review of Personalized, Interactive, Web-Based Clinical Decision Tools Available for Breast Cancer Prevention and Screening in the United States.美国可用于乳腺癌预防和筛查的个性化、交互式、基于网络的临床决策工具的范围综述
MDM Policy Pract. 2024 Mar 17;9(1):23814683241236511. doi: 10.1177/23814683241236511. eCollection 2024 Jan-Jun.
2
Breast Cancer Screening and Diagnosis: Recent Advances in Imaging and Current Limitations.乳腺癌筛查与诊断：影像学的最新进展与当前局限
PET Clin. 2023 Oct;18(4):459-471. doi: 10.1016/j.cpet.2023.04.003. Epub 2023 Jun 7.
3
Eliminating Financial Barriers to Breast Cancer Screening-When Free Is Not Really Free.消除乳腺癌筛查的经济障碍——免费并非真正免费时。
JAMA Netw Open. 2023 Mar 1;6(3):e234898. doi: 10.1001/jamanetworkopen.2023.4898.
4
Patient Cost-Sharing and Utilization of Breast Cancer Diagnostic Imaging by Patients Undergoing Subsequent Testing After a Screening Mammogram.患者在接受筛查乳房 X 光检查后进行后续检查时的自付费用和乳腺癌诊断成像的使用情况。
JAMA Netw Open. 2023 Mar 1;6(3):e234893. doi: 10.1001/jamanetworkopen.2023.4893.
5
Deep Learning vs Traditional Breast Cancer Risk Models to Support Risk-Based Mammography Screening.深度学习与传统乳腺癌风险模型在基于风险的乳腺癌筛查中的应用比较。
J Natl Cancer Inst. 2022 Oct 6;114(10):1355-1363. doi: 10.1093/jnci/djac142.
6
How to better identify and manage women with elevated breast cancer risk.如何更好地识别和管理乳腺癌风险升高的女性。
J Fam Pract. 2022 Jun;71(5):199-205. doi: 10.12788/jfp.0421.
7
False-Positive Results of Mammography Screening in the Era of Digital Breast Tomosynthesis.数字化乳腺断层合成时代乳腺钼靶筛查的假阳性结果
JAMA Netw Open. 2022 Mar 1;5(3):e222445. doi: 10.1001/jamanetworkopen.2022.2445.
8
Cumulative Probability of False-Positive Results After 10 Years of Screening With Digital Breast Tomosynthesis vs Digital Mammography.数字乳腺断层合成筛查 10 年后的假阳性结果累积概率与数字乳腺钼靶摄影比较。
JAMA Netw Open. 2022 Mar 1;5(3):e222440. doi: 10.1001/jamanetworkopen.2022.2440.
9
Preliminary Evaluation of a Breast Cancer Screening Shared Decision-Making Aid Utilized Within the Primary Care Clinical Encounter.在初级保健临床诊疗中使用的乳腺癌筛查共同决策辅助工具的初步评估
J Patient Exp. 2021 Jul 31;8:23743735211034039. doi: 10.1177/23743735211034039. eCollection 2021.
10
Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision Diagnosis.重新思考医学图像分析人工智能方法：精准诊断案例。
J Am Coll Radiol. 2021 Jan;18(1 Pt B):174-179. doi: 10.1016/j.jacr.2020.07.010.