关键词: environmental modification image quality mammography sensory stimulation

来  源:   DOI:10.1093/jbi/wbaa056

Abstract:
OBJECTIVE: This study sought to determine if a mammogram performed in a multi-sensory environmental upgraded room (UR) is associated with improved image quality when compared to a standard room (SR).
METHODS: A retrospective analysis (interrupted time series design) of compression force and posterior nipple line (PNL) measurements was performed on 303 women (mean age 60.9 years) who underwent screening mammography for 2 consecutive years (year 1 in SR, year 2 in UR) at a single outpatient facility. Using the Picture Archiving Communication System (PACS), craniocaudal (CC) and mediolateral oblique (MLO) images for the two years were reviewed. The PNL was measured for the CC and MLO images bilaterally using the embedded tools in the PACS software. Posterior nipple line and compression force were analyzed using a paired t-test. Bland-Altman plots were used to obtain 95% limits of agreement (LOA) between the UR and SR.
RESULTS: Image quality as determined by PNL measurement distance was greater in the UR (P < 0.001) when compared with the SR, with similar compression force (P ≥ 0.14). Mean PNL measurement differences ranged from 5.0 to 6.2 mm greater in the UR, whereas mean compression force differences ranged from -2.4 to 1.5 newtons. The 95% LOA suggest that PNL measurement differences between the UR and SR can vary by -11.0 to 27.0 mm.
CONCLUSIONS: Environmentally modifying mammography rooms may improve image quality with regard to PNL measurements without increasing compression force.
摘要:
目的:本研究旨在确定与标准房间(SR)相比,在多感官环境升级房间(UR)中进行的乳房X线照片是否与图像质量改善相关。
方法:对303名妇女(平均年龄60.9岁)进行了连续2年(SR年1年,UR的第2年)在单个门诊设施。使用图片存档通信系统(PACS),回顾了两年来的颅尾(CC)和中外侧斜(MLO)图像。使用PACS软件中的嵌入式工具双侧测量CC和MLO图像的PNL。使用配对t检验分析后乳头线和压缩力。Bland-Altman地块用于获得UR和SR之间95%的协议限制(LOA)。
结果:由PNL测量距离确定的图像质量在UR(P<0.001)中与SR相比更大,压力相似(P≥0.14)。平均PNL测量差异在UR中大5.0至6.2mm,而平均压缩力差异在-2.4到1.5牛顿之间。95%的LOA表明UR和SR之间的PNL测量差异可以变化-11.0至27.0mm。
结论:环境修改乳房X线照相术室可以在不增加压缩力的情况下改善PNL测量的图像质量。
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