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Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): A prospective comparison study

机译:将3D数字化乳腺摄影与断层合成相结合以进行人群乳腺癌筛查(STORM):一项前瞻性比较研究

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Background: Digital breast tomosynthesis with 3D images might overcome some of the limitations of conventional 2D mammography for detection of breast cancer. We investigated the effect of integrated 2D and 3D mammography in population breast-cancer screening. Methods: Screening with Tomosynthesis OR standard Mammography (STORM) was a prospective comparative study. We recruited asymptomatic women aged 48 years or older who attended population-based breast-cancer screening through the Trento and Verona screening services (Italy) from August, 2011, to June, 2012. We did screen-reading in two sequential phases-2D only and integrated 2D and 3D mammography-yielding paired data for each screen. Standard double-reading by breast radiologists determined whether to recall the participant based on positive mammography at either screen read. Outcomes were measured from final assessment or excision histology. Primary outcome measures were the number of detected cancers, the number of detected cancers per 1000 screens, the number and proportion of false positive recalls, and incremental cancer detection attributable to integrated 2D and 3D mammography. We compared paired binary data with McNemar's test. Findings: 7292 women were screened (median age 58 years [IQR 54-63]). We detected 59 breast cancers (including 52 invasive cancers) in 57 women. Both 2D and integrated 2D and 3D screening detected 39 cancers. We detected 20 cancers with integrated 2D and 3D only versus none with 2D screening only (p<0·0001). Cancer detection rates were 5·3 cancers per 1000 screens (95% CI 3·8-7·3) for 2D only, and 8·1 cancers per 1000 screens (6·2-10·4) for integrated 2D and 3D screening. The incremental cancer detection rate attributable to integrated 2D and 3D mammography was 2·7 cancers per 1000 screens (1·7-4·2). 395 screens (5·5%; 95% CI 5·0-6·0) resulted in false positive recalls: 181 at both screen reads, and 141 with 2D only versus 73 with integrated 2D and 3D screening (p<0·0001). We estimated that conditional recall (positive integrated 2D and 3D mammography as a condition to recall) could have reduced false positive recalls by 17·2% (95% CI 13·6-21·3) without missing any of the cancers detected in the study population. Interpretation: Integrated 2D and 3D mammography improves breast-cancer detection and has the potential to reduce false positive recalls. Randomised controlled trials are needed to compare integrated 2D and 3D mammography with 2D mammography for breast cancer screening. Funding: National Breast Cancer Foundation, Australia; National Health and Medical Research Council, Australia; Hologic, USA; Technologic, Italy.
机译:背景:具有3D图像的数字化乳房断层扫描技术可能会克服传统2D乳腺X线摄影术在检测乳腺癌方面的一些局限性。我们调查了2D和3D乳房X线照相术在人群乳腺癌筛查中的作用。方法:采用断层合成或标准乳腺X线摄影(STORM)进行筛查是一项前瞻性比较研究。我们招募了48岁以上无症状女性,他们从2011年8月至2012年6月通过Trento和Verona筛查服务(意大利)参加了基于人群的乳腺癌筛查。我们仅在两个连续的阶段2D中进行了屏幕阅读。并为每个屏幕集成了生成2D和3D乳腺摄影的配对数据。乳房放射线医师的标准双读技术是根据两次屏幕阅读中的X射线乳腺X线摄影阳性结果确定是否召回参与者。从最终评估或切除组织学测量结果。主要结局指标包括:检测到的癌症数量,每1000个筛查中检测到的癌症数量,假阳性召回的数量和比例,以及归因于2D和3D乳房X线照相术的癌症增量检测。我们将配对的二进制数据与McNemar的测试进行了比较。结果:筛查了7292名妇女(中位年龄58岁[IQR 54-63])。我们在57位女性中检测到59例乳腺癌(包括52例浸润癌)。 2D和集成的2D和3D筛选均检测到39种癌症。我们检测到只有2D和3D整合的20种癌症,而只有2D筛查的没有(p <0·0001)。仅2D癌症检出率为每1000筛查5·3癌症(95%CI 3·8-7·3),而综合2D和3D筛查每1000筛查为8·1癌症(6·2-10·4) 。归因于2D和3D乳房X线照相术的综合癌症检出率是每1000片筛查2·7癌症(1·7-4·2)。 395个屏幕(5·5%; 95%CI 5·0-6·0)导致假阳性召回:两次屏幕读取均为181次,仅2D屏幕为141个,而集成2D和3D屏幕为73个(p <0·0001) )。我们估计,条件召回(积极的2D和3D乳房X线照相术可以作为召回条件)可以将假阳性召回率降低17·2%(95%CI 13·6-21·3),而不会遗漏任何在癌症中检出的癌症。研究人群。解释:集成的2D和3D乳腺摄影可以改善乳腺癌的检测,并有可能减少假阳性召回率。需要进行随机对照试验,以比较2D和3D乳腺X线摄影与2D乳腺X线摄影对乳腺癌的筛查。资金来源:澳大利亚国家乳腺癌基金会;澳大利亚国家卫生和医学研究理事会;美国Hologic;科技,意大利。

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