• 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
Identifying key factors in the mammography procedure for delineating the pectoral muscle using the analytic hierarchy process.运用层次分析法确定乳腺钼靶检查中描绘胸肌的关键因素。
Sci Rep. 2025 Mar 7;15(1):7966. doi: 10.1038/s41598-025-92350-9.
2
Standardised or individualised X-ray tube angle for mediolateral oblique projection in digital mammography?数字化乳腺钼靶摄影中外斜位投照时采用标准化还是个体化 X 射线管角度?
Radiography (Lond). 2022 Aug;28(3):772-778. doi: 10.1016/j.radi.2022.03.002. Epub 2022 Apr 3.
3
A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.一种用于在斜侧位(MLO)乳房 X 光片中分割胸肌的稳健方法。
Int J Comput Assist Radiol Surg. 2019 Feb;14(2):237-248. doi: 10.1007/s11548-018-1867-7. Epub 2018 Oct 4.
4
Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.基于 MLO 视图的乳腺钼靶片中自动胸大肌识别:深度神经网络与传统计算机视觉的比较。
Med Phys. 2019 May;46(5):2103-2114. doi: 10.1002/mp.13451. Epub 2019 Mar 12.
5
Automatic pectoral muscle segmentation on mediolateral oblique view mammograms.在内外侧斜位乳腺钼靶片上自动分割胸肌
IEEE Trans Med Imaging. 2004 Sep;23(9):1129-40. doi: 10.1109/TMI.2004.830529.
6
Preparing for EQUIP by Measuring Mammography Image Quality.通过测量乳腺钼靶图像质量为EQUIP做准备。
Radiol Technol. 2019 May;90(5):459-470.
7
Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views.基于几何方法的MLO位乳房X线照片视图中胸肌分割
IEEE Trans Biomed Eng. 2017 Nov;64(11):2662-2671. doi: 10.1109/TBME.2017.2649481.
8
Identification and segmentation of obscure pectoral muscle in mediolateral oblique mammograms.中外侧斜位乳腺钼靶片中隐匿胸肌的识别与分割
Br J Radiol. 2016 Jun;89(1062):20150802. doi: 10.1259/bjr.20150802. Epub 2016 Apr 4.
9
Detection and Segmentation of Pectoral Muscle on MLO-View Mammogram Using Enhancement Filter.基于增强滤波器的 MLO 视图乳腺钼靶图像中胸肌的检测与分割。
J Med Syst. 2017 Oct 25;41(12):190. doi: 10.1007/s10916-017-0839-8.
10
Computer-aided identification of the pectoral muscle in digitized mammograms.数字化乳腺 X 线片中胸大肌的计算机辅助识别。
J Digit Imaging. 2010 Oct;23(5):562-80. doi: 10.1007/s10278-009-9240-6. Epub 2009 Oct 9.

本文引用的文献

1
Using automated software evaluation to improve the performance of breast radiographers in tomosynthesis screening.使用自动化软件评估来提高乳腺 X 光摄影技师在断层合成筛查中的表现。
Eur Radiol. 2024 Jul;34(7):4738-4749. doi: 10.1007/s00330-023-10457-x. Epub 2023 Nov 29.
2
Analytic Hierarchy Process Analysis of Patient Preferences for Contrast-Enhanced Mammography Versus MRI as Supplemental Screening Options for Breast Cancer.对比增强乳腺 X 线摄影与 MRI 作为乳腺癌补充筛查选择的患者偏好的层次分析法分析。
J Am Coll Radiol. 2023 Aug;20(8):758-768. doi: 10.1016/j.jacr.2023.05.014. Epub 2023 Jun 30.
3
Quality control system for mammographic breast positioning using deep learning.基于深度学习的乳腺 X 光摄影定位质量控制系统。
Sci Rep. 2023 May 1;13(1):7066. doi: 10.1038/s41598-023-34380-9.
4
The impact of subjective image quality evaluation in mammography.乳腺摄影中主观图像质量评价的影响。
Radiography (Lond). 2023 May;29(3):526-532. doi: 10.1016/j.radi.2023.02.025. Epub 2023 Mar 11.
5
Standardised or individualised X-ray tube angle for mediolateral oblique projection in digital mammography?数字化乳腺钼靶摄影中外斜位投照时采用标准化还是个体化 X 射线管角度?
Radiography (Lond). 2022 Aug;28(3):772-778. doi: 10.1016/j.radi.2022.03.002. Epub 2022 Apr 3.
6
Application of the Rasch measurement framework to mammography positioning data.拉施测量框架在乳腺摄影定位数据中的应用。
Data Brief. 2021 Sep 20;38:107387. doi: 10.1016/j.dib.2021.107387. eCollection 2021 Oct.
7
Assessment of breast positioning criteria in mammographic screening: Agreement between artificial intelligence software and radiographers.评估乳腺 X 光筛查中的乳房定位标准:人工智能软件与放射技师之间的一致性。
J Med Screen. 2021 Dec;28(4):448-455. doi: 10.1177/0969141321998718. Epub 2021 Mar 9.
8
Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.双模态模糊层次分析法(BFAHP)在冠心病风险评估中的应用。
J Biomed Inform. 2018 Jul;83:204-216. doi: 10.1016/j.jbi.2018.03.016. Epub 2018 Apr 4.
9
Improving Performance of Mammographic Breast Positioning in an Academic Radiology Practice.提高学术放射实践中乳腺摄影体位的性能。
AJR Am J Roentgenol. 2018 Apr;210(4):807-815. doi: 10.2214/AJR.17.18212. Epub 2018 Feb 7.
10
Mammographic image quality in relation to positioning of the breast: A multicentre international evaluation of the assessment systems currently used, to provide an evidence base for establishing a standardised method of assessment.乳腺钼靶图像质量与乳房定位的关系:对当前使用的评估系统进行多中心国际评估,为建立标准化评估方法提供证据基础。
Radiography (Lond). 2017 Nov;23(4):343-349. doi: 10.1016/j.radi.2017.03.004. Epub 2017 Jul 8.

运用层次分析法确定乳腺钼靶检查中描绘胸肌的关键因素。

Identifying key factors in the mammography procedure for delineating the pectoral muscle using the analytic hierarchy process.

作者信息

Yagahara Ayako, Yoshida Akari

机构信息

Faculty of Health Sciences, Hokkaido University of Science, Sapporo, Japan.

IMS Sapporo Digestive Disease Center General Hospital, Sapporo, Japan.

出版信息

Sci Rep. 2025 Mar 7;15(1):7966. doi: 10.1038/s41598-025-92350-9.

DOI:10.1038/s41598-025-92350-9
PMID:40055438
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11889107/
Abstract

The quality of mammograms relies on the experience and intuition of radiological technologists, and it takes considerable time to develop the necessary technical skills. The purpose of this study, as a pilot for educational support and improvement in imaging techniques, is to quantitatively elucidate the relationship between the imaging procedure and the delineation of the greater pectoral muscle in the mediolateral oblique view using the Analytic Hierarchy Process (AHP). A questionnaire survey was conducted with six radiological technologists with more than 10 years of clinical experience in mammography examinations. To improve the depiction of the greater pectoral muscle in retakes, whether they are excessively or insufficiently depicted, a questionnaire was created. This questionnaire asked respondents to use a pairwise comparison method to select from among six processes related to muscle depiction. Respondents with a consistency index of 0.2 or below were analyzed, and the importance of each process was calculated. In cases where the great pectoral muscle was excessively depicted, the importance of "positioning the axillary tail to align with the corner of the detector" had the highest value at 0.342. However, in cases where it was inadequately depicted, "adjusting the angle of the detector" was the highest at 0.264, followed by "relaxing the upper body" at 0.247. By using the AHP, the importance in decision-making by experts can be quantified, and these results will greatly contribute to the improvement of technologists' techniques.

摘要

乳房X光片的质量依赖于放射技师的经验和直觉,并且培养必要的技术技能需要相当长的时间。作为教育支持和成像技术改进的一项试点研究,本研究的目的是使用层次分析法(AHP)定量阐明成像程序与内外侧斜位视图中胸大肌描绘之间的关系。对六名在乳房X光检查方面有超过10年临床经验的放射技师进行了问卷调查。为了在重拍时改善胸大肌的描绘,无论其描绘过度还是不足,都设计了一份问卷。这份问卷要求受访者使用成对比较法从与肌肉描绘相关的六个过程中进行选择。对一致性指数为0.2或更低的受访者进行了分析,并计算了每个过程的重要性。在胸大肌描绘过度的情况下,“将腋尾定位使其与探测器的角对齐”的重要性最高,为0.342。然而,在描绘不足的情况下,“调整探测器角度”最高,为0.264,其次是“放松上半身”,为0.247。通过使用层次分析法,可以量化专家决策中的重要性,这些结果将极大地有助于放射技师技术的提高。