乳腺癌在致密和非致密乳房的检测:诊断信心和疗效的标志。

IF 0.9 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Acta radiologica open Pub Date : 2022-01-29 eCollection Date: 2022-01-01 DOI:10.1177/20584601211072279
Ibrahim Hadadi, William Rae, Jillian Clarke, Mark McEntee, Ernest Ekpo
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引用次数: 2

摘要

背景:放射科医生特征的影响已成为近期研究的主要焦点。然而,对致密性和非致密性乳房的诊断效能和信心的标志物了解甚少。目的:本研究的目的是评估放射科医生的特点和诊断性能之间的关系在致密和非致密乳房。材料与方法:招募具有0.5 ~ 40(13±10.6)年乳房x光片阅读经验的乳腺影像学专家128名。参与者独立解释了包含60张乳腺密度分布相似的数字乳房x光片(40张正常,20张异常)的测试集。通过Jamovi软件(版本1.6.22)分析诊断性能指标。结果:在致密乳腺中,完成乳腺影像学检查可显著提高特异性(p = 0.004)、定位敏感性(p = 0.01)和受者工作特征曲线下面积(AUC) (p = 0.03)。仅参与乳房筛查读数可显著改善所有性能指标:特异性(p = 0.04)、敏感性(p = 0.005)、位置敏感性(p < 0.001)和AUC (p < 0.001)。每周阅读> 100次乳房x光片可显著提高灵敏度(p = 0.03)、定位灵敏度(p = 0.001)和AUC (p = 0.03)。在非致密乳房中,乳房闭合可显著提高灵敏度(p = 0.02)、位置灵敏度(p = 0.04)和AUC (p = 0.002)。参与BreastScreen阅读和每周阅读> 100张乳房x线照片显著提高了灵敏度(分别为p = 0.002和p = 0.003)和定位灵敏度(分别为p < 0.001和p < 0.001)。结论:参与筛查项目、乳腺奖学金、每周阅读> 100张乳房x光片是衡量放射科医师对致密和非致密乳房诊断效能的重要指标。在致密性乳房中,最佳的表现源于参与乳房筛查项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Breast cancer detection across dense and non-dense breasts: Markers of diagnostic confidence and efficacy.

Breast cancer detection across dense and non-dense breasts: Markers of diagnostic confidence and efficacy.

Breast cancer detection across dense and non-dense breasts: Markers of diagnostic confidence and efficacy.

Breast cancer detection across dense and non-dense breasts: Markers of diagnostic confidence and efficacy.

Background: The impact of radiologists' characteristics has become a major focus of recent research. However, the markers of diagnostic efficacy and confidence in dense and non-dense breasts are poorly understood.

Purpose: This study aims to assess the relationship between radiologists' characteristics and diagnostic performance across dense and non-dense breasts.

Materials and methods: Radiologists specialising in breast imaging (n = 128) who had 0.5-40 (13±10.6) years of experience reading mammograms were recruited. Participants independently interpreted a test set containing 60 digital mammograms (40 normal and 20 abnormal) with similarly distributed breast densities. Diagnostic performance measures were analysed via Jamovi software (version 1.6.22).

Results: In dense breasts, breast-imaging fellowship completion significantly improved specificity (p = 0.004), location sensitivity (p = 0.01) and the area under the curve (AUC) of the receiver operating characteristic (p = 0.03). Only participation in BreastScreen reading significantly improved all performance metrics: specificity (p = 0.04), sensitivity (p = 0.005), location sensitivity (p < 0.001) and AUC (p < 0.001). Reading > 100 mammograms weekly significantly improved sensitivity (p = 0.03), location sensitivity (p = 0.001), and AUC (p = 0.03).In non-dense breasts, breast fellowship completion significantly improved sensitivity (p = 0.02), location sensitivity (p = 0.04) and AUC (p = 0.002). Participation in BreastScreen reading and reading > 100 mammograms weekly significantly improved only sensitivity (p = 0.002 and p = 0.003, respectively) and location sensitivity (p < 0.001 and p < 0.001, respectively).

Conclusion: Participating in screening programs, breast fellowships and reading > 100 mammograms weekly are important indicators of the diagnostic performance of radiologists across dense and non-dense breasts. In dense breasts, optimal performance resulted from participation in a breast screening program.

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