Radiation Exposure of Digital Breast Tomosynthesis Using an Antiscatter Grid Compared With Full-Field Digital Mammography

Paulis, Leonie E. M.; Lobbes, Marc; Lalji, Ulrich; Gelissen, Nicky; Bouwman, Ramona W.; Wildberger, Joachim E.; Jeukens, Cécile R. L. P. N.

doi:10.1097/rli.0000000000000168

Cited by 20 publications

(10 citation statements)

References 27 publications

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“…A previously published research paper 10 concluded that the translation of this technology may impact clinically by early detection of a breast lesion and further improvement in patient management, whether used for screening or diagnostic purposes. However, limited work has been published on radiation doses from DBT or a combination of DBT and FFDM for a range of clinically relevant mammographic parameters 11–14 . A precise comparison of dose levels between FFDM and DBT, based on clinical data, is still lacking.…”

Section: Introductionmentioning

confidence: 99%

Comparison of radiation doses between diagnostic full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT): a clinical study

Asbeutah

Almajran

Brindhaban

et al. 2020

J of Medical Radiation Sci

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Introduction There are increasing concerns about radiation exposure among women who undergo full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT). The main aim of this study was to compare the entrance surface dose (ESD) and average glandular dose (AGD) from FFDM and DBT for different breast thicknesses. Methods The ESD and AGD for FFDM in craniocaudal, mediolateral oblique and DBT in craniocaudal projection were recorded from a GE Senographe Essential FFDM unit. The accuracy of the ESD and AGD from the FFDM unit was verified during regular quality assurance programme. Patients were categorised according to their compressed breast thicknesses. X‐ray tube potential and target filter combinations were varied with ESD and AGD recorded directly from the FFDM unit. The non‐parametric Kruskal–Wallis, Mann–Whitney and Wilcoxon signed‐rank tests were performed. Results The median and interquartile range (IQR) age of the patients were 48 and 11 years, respectively. The highest median for ESD and median total AGD for different breast thicknesses were ranged from 3.3 to 9.1 mGy and 3.3 to 6.0 mGy, respectively, for two‐view FFDM. However, it ranged from 3.1 to 8.9 mGy and 1.8 to 4.0 mGy, respectively, for single‐view DBT. Both ESD and AGD were significantly lower for DBT (P < 0.001) compared with FFDM. There was a significant difference (P = 0.001) in the ESD and AGD values for different breast thicknesses in FFDM and DBT techniques. Conclusions The AGD for a single‐view DBT was lower than the two‐view FFDM technique.

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Section: Introductionmentioning

confidence: 99%

Comparison of radiation doses between diagnostic full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT): a clinical study

Asbeutah

Almajran

Brindhaban

et al. 2020

J of Medical Radiation Sci

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“…However, it has been seen that by itself, the dose of DBT is comparable to Full Field Digital Mammography (FFDM), and may even be lower in thick breasts. [ 29 ] Our study, however, shows that DBT is most useful in this population due to the higher density of breasts in younger patients. The average age of patients with ACR density 3 and 4 breasts (where DBT was found most useful) were 43 and 36, respectively, showing that it may be particularly valuable in women below 45 years of age.…”

Section: Discussionmentioning

confidence: 72%

Characterization of lesions in dense breasts: Does tomosynthesis help?

Rangarajan

Hari

Thulkar

et al. 2016

Indian Journal of Radiology and Imaging

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Context:Mammography in dense breasts is challenging due to lesion obscuration by tissue overlap. Does tomosynthesis offers a solution?Aims:To study the impact of digital breast tomosynthesis (DBT) in characterizing lesions in breasts of different mammographic densities.Settings and Design:Prospective blinded study comparing mammography in two views with Mammography + Tomosynthesis.Methods and Material:Tomosynthesis was performed in 199 patients who were assigned Breast imaging reporting and data system (BIRADS) categories 0, 3, 4, or 5 on two-dimensional (2D) mammogram. Mammograms were first categorized into one of 4 mammographic breast densities in accordance with the American College of Radiology (ACR). Three radiologists independently analyzed these images and assigned a BIRADS category first based on 2D mammogram alone, and then assigned a fresh BIRADS category after taking mammography and tomosynthesis into consideration. A composite gold-standard was used in the study (histopathology, ultrasound, follow-up mammogram, magnetic resonance imaging). Each lesion was categorized into 3 groups—superior categorization with DBT, no change in BIRADS, or inferior BIRADS category based on comparison with the gold-standard. The percentage of lesions in each group was calculated for different breast densities.Results:There were 260 lesions (ages 28–85). Overall, superior categorization was seen in 21.2% of our readings on addition of DBT to mammography. DBT was most useful in ACR Densities 3 and 4 breasts where it led to more appropriate categorization in 27 and 42% of lesions, respectively. DBT also increased diagnostic confidence in 54.5 and 63.6% of lesions in ACR Densities 3 and 4, respectively.Conclusions:In a diagnostic setting, the utility of tomosynthesis increases with increasing breast density. This helps in identifying the sub category of patients where DBT can actually change management.

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“…115 Several groups are addressing these issues with new systems that can perform whole-breast μCT; 50,60,62 however, they impart radiation dose 2× to 3× that produced from clinical mammography or digital breast tomosynthesis systems. 60,116 Thus, preclinical and clinical μCT may both prove valuable tools for future QMIB studies.…”

Section: Microcomputed Tomographymentioning

confidence: 99%

Review of quantitative multiscale imaging of breast cancer

et al. 2018

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Breast cancer is the most common cancer among women worldwide and ranks second in terms of overall cancer deaths. One of the difficulties associated with treating breast cancer is that it is a heterogeneous disease with variations in benign and pathologic tissue composition, which contributes to disease development, progression, and treatment response. Many of these phenotypes are uncharacterized and their presence is difficult to detect, in part due to the sparsity of methods to correlate information between the cellular microscale and the whole-breast macroscale. Quantitative multiscale imaging of the breast is an emerging field concerned with the development of imaging technology that can characterize anatomic, functional, and molecular information across different resolutions and fields of view. It involves a diverse collection of imaging modalities, which touch large sections of the breast imaging research community. Prospective studies have shown promising results, but there are several challenges, ranging from basic physics and engineering to data processing and quantification, that must be met to bring the field to maturity. This paper presents some of the challenges that investigators face, reviews currently used multiscale imaging methods for preclinical imaging, and discusses the potential of these methods for clinical breast imaging.

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Radiation Exposure of Digital Breast Tomosynthesis Using an Antiscatter Grid Compared With Full-Field Digital Mammography

Abstract: The radiation dose of patients undergoing a single-view DBT was comparable to a single-view FFDM. For patients with thicker breasts, the radiation dose of DBT was slightly lower than FFDM.

Cited by 20 publications

References 27 publications

Comparison of radiation doses between diagnostic full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT): a clinical study

Comparison of radiation doses between diagnostic full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT): a clinical study

Characterization of lesions in dense breasts: Does tomosynthesis help?

Review of quantitative multiscale imaging of breast cancer

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