Digital Breast Tomosynthesis: Lessons Learned from Early Clinical Implementation

Roth, Robyn; Maidment, Andrew D. A.; Weinstein, Susan P.; Roth, Susan Orel; Conant, Emily F.

doi:10.1148/rg.344130087

Cited by 73 publications

(51 citation statements)

References 39 publications

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“…155,156 The inspection of the breast tissue on DBT planar sections has been shown to be very useful in ruling out suspicious regions which manifest as a result of tissue superimposition. 157,158 Studies comparing the use of DBT and digital mammography for screening showed that combining both modalities results in the greatest reduction in the FP rate (15 159 -50% reduction 160 ) with a concurrent improvement in the cancer detection rate (27 159 -34% increase in detection 160 ). The caveat associated with acquiring both sets of images is that the patient sees a twofold increase in the dose, since acquisition of a single DBT view can impart a mean glandular dose of up to 2.28 mGy.…”

Section: Breast Screeningmentioning

confidence: 99%

Is the false-positive rate in mammography in North America too high?

Le¹,

Mothersill²,

Seymour³

et al. 2016

BJR

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The practice of investigating pathological abnormalities in the breasts of females who are asymptomatic is primarily employed using X-ray mammography. The importance of breast screening is reflected in the mortality-based benefits observed among females who are found to possess invasive breast carcinoma prior to the manifestation of clinical symptoms. It is estimated that population-based screening constitutes a 17% reduction in the breast cancer mortality rate among females affected by invasive breast carcinoma. In spite of the significant utility that screening confers in those affected by invasive cancer, limitations associated with screening manifest as potential harms affecting individuals who are free of invasive disease. Disease-free and benign tumour-bearing individuals who are subjected to diagnostic work-up following a screening examination constitute a population of cases referred to as false positives (FPs). This article discusses factors contributing to the FP rate in mammography and extends the discussion to an assessment of the consequences associated with FP reporting. We conclude that the mammography FP rate in North America is in excess based upon the observation of overtreatment of in situ lesions and the disproportionate distribution of detriment and benefit among the population of individuals recalled for diagnostic work-up subsequent to screening. To address the excessive incidence of FPs in mammography, we investigate solutions that may be employed to remediate the current status of the FP rate. Subsequently, it can be suggested that improvements in the breast-screening protocol, medical litigation risk, image interpretation software and the implementation of image acquisition modalities that overcome superimposition effects are promising solutions.

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Section: Breast Screeningmentioning

confidence: 99%

Is the false-positive rate in mammography in North America too high?

Le¹,

Mothersill²,

Seymour³

et al. 2016

BJR

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show abstract

“…Digital breast tomosynthesis (DBT) is rapidly being implemented in breast clinics as the "better mammogram" because it addresses some of the limitations of conventional two-dimensional mammography by alleviating the effect of superimposed structures that lead to both false-positive and false-negative results at breast cancer screening (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13).…”

Section: Introductionmentioning

confidence: 99%

Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis Screening

Korhonen¹,

Weinstein²,

McDonald³

et al. 2016

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“…Several studies have begun to address the technical, ergonomic, and performance issues associated with DT. These studies have shown that the image quality of DT is comparable to that of other standard imaging modalities in breast, bone, and chest sections (8)(9)(10)(11)(12). In a field of PNS sections, DT can easily and promptly provide sinus coronal tomographic images with high in-plane spatial resolution and is able to remove overlying structures, enhance local tissue separation, and provide depth information.…”

Section: Introductionmentioning

confidence: 92%

Assessment of Maxillary Sinus Wall Thickness with Paranasal Sinus Digital Tomosynthesis and CT

Byun

Shim

Kim

et al. 2017

J Korean Soc Radiol

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Purpose:This study was performed to compare paranasal sinus tomosynthesis with computed tomography (CT) imaging as a radiologic tool to evaluate the paranasal sinuses, using measurement of the soft tissue thickness of the maxillary sinus. Materials and Methods: A total of 114 patients with sinusitis who underwent both paranasal sinus digital tomosynthesis (DT) and CT were enrolled in this retrospective study. Two observers independently assessed soft tissue thickness in both maxillary sinus chambers using both DT and CT images. Results: The mean difference in soft tissue thickness measured by each observer was -0.31 mm on CT and 0.15 mm on DT. The mean differences in soft tissue thickness measured with DT and CT were -0.15 by observer 1 and -0.31 by observer 2. Evaluation of the agreement in measurement of soft tissue thickness in the maxillary sinus using DT and CT showed a high intraclass correlation, with the 95% limit of agreement ranging from -3.36 mm to 3.06 mm [intraclass correlation coefficient (ICC), 0.994: p < 0.01] for observer 1 and from -5.56 mm to 4.95 mm (ICC, 0.984: p < 0.01) for observer 2. Conclusion: As an imaging tool, DT is comparable to CT for assessing the soft tissue thickness of maxillary sinuses in patients with sinusitis. Index terms

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Digital Breast Tomosynthesis: Lessons Learned from Early Clinical Implementation

Cited by 73 publications

References 39 publications

Is the false-positive rate in mammography in North America too high?

Is the false-positive rate in mammography in North America too high?

Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis Screening

Assessment of Maxillary Sinus Wall Thickness with Paranasal Sinus Digital Tomosynthesis and CT

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