Biennial screening mammography: How many women ask for more? Estimate of the interval mammogram rate in an organised population-based screening programme

Carbonaro, Luca A.; Rizzo, S.; Schiaffino, Simone; Mainini, Anna Pisani; Berger, Nicole; Trimboli, Rubina Manuela; Sardanelli, Francesco

doi:10.1007/s11547-020-01238-3

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…The robustness of these kinds of systems remains to be improved as variations in the images could lead to wrong removal. In this sense, the advantage of deep-learning-based methods is such that the robustness has been drastically enhanced [30][31][32][38][39][40][41][42][43]. However, deep-learning approach requires a very large number of images to be properly trained.…”

Section: Discussionmentioning

confidence: 99%

Comparison between two packages for pectoral muscle removal on mammographic images

et al. 2022

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Background Pectoral muscle removal is a fundamental preliminary step in computer-aided diagnosis systems for full-field digital mammography (FFDM). Currently, two open-source publicly available packages (LIBRA and OpenBreast) provide algorithms for pectoral muscle removal within Matlab environment. Purpose To compare performance of the two packages on a single database of FFDM images. Methods Only mediolateral oblique (MLO) FFDM was considered because of large presence of pectoral muscle on this type of projection. For obtaining ground truth, pectoral muscle has been manually segmented by two radiologists in consensus. Both LIBRA’s and OpenBreast’s removal performance with respect to ground truth were compared using Dice similarity coefficient and Cohen-kappa reliability coefficient; Wilcoxon signed-rank test has been used for assessing differences in performances; Kruskal–Wallis test has been used to verify possible dependence of the performance from the breast density or image laterality. Results FFDMs from 168 consecutive women at our institution have been included in the study. Both LIBRA’s Dice-index and Cohen-kappa were significantly higher than OpenBreast (Wilcoxon signed-rank test P < 0.05). No dependence on breast density or laterality has been found (Kruskal–Wallis test P > 0.05). Conclusion: Libra has a better performance than OpenBreast in pectoral muscle delineation so that, although our study has not a direct clinical application, these results are useful in the choice of packages for the development of complex systems for computer-aided breast evaluation.

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Section: Discussionmentioning

confidence: 99%

Comparison between two packages for pectoral muscle removal on mammographic images

et al. 2022

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“…When a woman's life expectancy drops to below 7 years due to age or related condition, she should no longer undergo screening [11] . Interval mammography screening prevalence estimates (i.e., the number of women who get a mammogram in the time between routine screenings) have been analysed and factors influencing this phenomena have been discovered by Carbonaro et al [12] . Women with higher breast density who participated in the local organised screening programme had a considerably lower interval mammography rate after the first round of programme adherence, as shown in this study.…”

Section: Digital Mammography (Dm)mentioning

confidence: 99%

Imaging Modalities of Breast Masses Overview: Review Article

Tantawy¹,

Fahmy²,

Amer³

et al. 2023

The Egyptian Journal of Hospital Medicine

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Background: When it comes to cancer, breast cancer (BC) is by far the most common type among females worldwide. As a result of a number of circumstances, including the current COVID-19 pandemic, routine breast imaging has been drastically reduced in recent times. It is also important to keep in mind throughout this time frame since a delay in diagnosis of as little as three months can have a significant impact on breast cancer survival rates.Objective: Review of the literature on imaging modalities of breast masses. Methods: We looked for data on Breast Masses and Imaging, in medical journals and databases like PubMed, Google Scholar, and Science Direct. However, only the most recent or extensive study was taken into account between July 2000 and February 2021. References from related works were also evaluated by the writers. There were not enough resources to translate documents into languages other than English, hence those documents have been ignored. It was generally agreed that documents such as unpublished manuscripts, oral presentations, conference abstracts, and dissertations did not qualify as legitimate scientific study. Conclusion: Functional imaging has been shown to have better diagnostic performance than morphological imaging, allowing for earlier diagnosis and thus ever-more-tailored treatments and screenings for individual patients.

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“…Carbonaro et al [ 28 ] have evaluated that the estimate of the interval mammogram rate, i.e., the undertaking of an additional mammography between scheduled screening rounds, and identified factors influencing this phenomenon. This study showed a relatively low (15%) interval mammogram rate in women belonging to the local organized screening program with higher breast density, and the first rounds of program adherence were significantly associated with a higher interval mammogram rate.…”

Section: Digital Mammographymentioning

confidence: 99%

A Review of Breast Imaging for Timely Diagnosis of Disease

Bicchierai

Naro

Benedetto

et al. 2021

IJERPH

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Breast cancer (BC) is the cancer with the highest incidence in women in the world. In this last period, the COVID-19 pandemic has caused in many cases a drastic reduction of routine breast imaging activity due to the combination of various factors. The survival of BC is directly proportional to the earliness of diagnosis, and especially during this period, it is at least fundamental to remember that a diagnostic delay of even just three months could affect BC outcomes. In this article we will review the state of the art of breast imaging, starting from morphological imaging, i.e., mammography, tomosynthesis, ultrasound and magnetic resonance imaging and contrast-enhanced mammography, and their most recent evolutions; and ending with functional images, i.e., magnetic resonance imaging and contrast enhanced mammography.

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Biennial screening mammography: How many women ask for more? Estimate of the interval mammogram rate in an organised population-based screening programme

Cited by 6 publications

References 12 publications

Comparison between two packages for pectoral muscle removal on mammographic images

Comparison between two packages for pectoral muscle removal on mammographic images

Imaging Modalities of Breast Masses Overview: Review Article

A Review of Breast Imaging for Timely Diagnosis of Disease

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