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1
Breast Cancer Detection Using a Low-Dose Positron Emission Digital Mammography System.使用低剂量正电子发射数字乳腺摄影系统进行乳腺癌检测。
Radiol Imaging Cancer. 2024 Mar;6(2):e230020. doi: 10.1148/rycan.230020.
2
Updates in Molecular Breast Imaging.分子乳腺成像的最新进展。
Semin Roentgenol. 2022 Apr;57(2):134-138. doi: 10.1053/j.ro.2021.12.006. Epub 2021 Dec 31.
3
Comparative Benefit-to-Radiation Risk Ratio of Molecular Breast Imaging, Two-Dimensional Full-Field Digital Mammography with and without Tomosynthesis, and Synthetic Mammography with Tomosynthesis.分子乳腺成像、二维全视野数字化乳腺摄影与断层合成及合成乳腺断层摄影的辐射风险与获益比比较。
Radiol Imaging Cancer. 2019 Sep 27;1(1):e190005. doi: 10.1148/rycan.2019190005. eCollection 2019 Sep.
4
Breast-Specific γ-Imaging for the Detection of Mammographically Occult Breast Cancer in Women at Increased Risk.乳腺特异性γ成像用于检测高危女性乳腺钼靶隐匿性乳腺癌
J Nucl Med. 2016 May;57(5):678-84. doi: 10.2967/jnumed.115.168385. Epub 2016 Jan 28.
5
Comparative Diagnostic Utility of Low-Dose Breast-Specific Gamma Imaging to Current Clinical Standard.低剂量乳腺特异性伽马成像与当前临床标准的比较诊断效用
Breast J. 2016 Mar-Apr;22(2):180-8. doi: 10.1111/tbj.12550. Epub 2015 Dec 14.
6
Positron Emission Mammography Image Interpretation for Reduced Image Count Levels.用于降低图像计数水平的正电子发射乳腺成像图像解读
J Nucl Med. 2016 Mar;57(3):348-54. doi: 10.2967/jnumed.115.165787. Epub 2015 Dec 3.
7
Journal club: molecular breast imaging at reduced radiation dose for supplemental screening in mammographically dense breasts.期刊俱乐部：低辐射剂量分子乳腺成像用于乳腺致密型乳房的补充筛查
AJR Am J Roentgenol. 2015 Feb;204(2):241-51. doi: 10.2214/AJR.14.13357.
8
Breast-specific gamma imaging for the detection of breast cancer in dense versus nondense breasts.乳腺特异性γ成像在致密型和非致密型乳腺中用于乳腺癌的检测。
AJR Am J Roentgenol. 2014 Feb;202(2):293-8. doi: 10.2214/AJR.13.11585.
9
Breast cancer: comparative effectiveness of positron emission mammography and MR imaging in presurgical planning for the ipsilateral breast.乳腺癌：正电子发射乳房 X 线摄影术和磁共振成像在同侧乳房术前规划中的比较效果。
Radiology. 2011 Jan;258(1):59-72. doi: 10.1148/radiol.10100454. Epub 2010 Nov 12.

Low-Dose Positron Emission Mammography: A Novel, Promising Technique for Breast Cancer Detection.

作者信息

Barreto David S, Rapelyea Jocelyn A

机构信息

From the Department of Radiology, The George Washington University School of Medicine and Health Sciences, 2150 Pennsylvania Ave NW, Washington, DC 20037.

出版信息

Radiol Imaging Cancer. 2024 Mar;6(2):e240006. doi: 10.1148/rycan.240006.

DOI:10.1148/rycan.240006
PMID:38334472
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10988329/
Abstract
摘要