Supplemental Breast Cancer Screening in Women With Dense Breasts Should Be Offered With Simultaneous Collection of Outcomes Data

Berg, Wendie A.

doi:10.7326/m15-2977

Cited by 18 publications

(11 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, images with high mammographic density are difficult to evaluate due to the fact that density limits sensitivity and specificity when detecting lesions [3]. This has led to initiatives to include the breast density category as part of the mammographic report as an indicator of test sensitivity and/or to guide decisions regarding supplemental imaging [4,5]. Many studies have found that Breast Imaging Reporting and Data system (BI-RADS) categorization is prone to inconsistencies between radiologists [6,7].…”

Section: R Esultats : Les Radiologistes Desmentioning

confidence: 99%

Variability of Breast Density Classification Between US and UK Radiologists

Alomaim

O'Leary

Ryan

et al. 2019

Journal of Medical Imaging and Radiation Sciences

View full text Add to dashboard Cite

Purpose: To assess whether subjective breast density categorization remains the most useful way to categorize mammographic breast density and whether variations exist across geographic regions with differing national legislation. Methods: Breast radiologists from two countries (UK, USA) were voluntarily recruited to review sets of anonymized mammographic images (n ¼ 180) and additional repeated images (n ¼ 70), totaling 250 images, to subjectively rate breast density according to the Breast Imaging Reporting and Data system (BI-RADS) categorization. Images were reviewed using standardized viewing conditions and Ziltron software. Inter-rater reliability was analyzed using the Kappa test. Results: The US radiologists (n ¼ 25) judged fewer images as being ''mostly fatty'' than UK radiologists (n ¼ 24), leading a greater number of images classified in the higher BI-RADS categories, particularly in BI-RADS 3. Overall agreement for all data sets was k ¼ 0.654 indicating substantial agreement between the two cohorts. When the data were split into BI-RADS categories, the level of agreement varied from fair to substantial.

show abstract

Section: R Esultats : Les Radiologistes Desmentioning

confidence: 99%

Variability of Breast Density Classification Between US and UK Radiologists

Alomaim

O'Leary

Ryan

et al. 2019

Journal of Medical Imaging and Radiation Sciences

View full text Add to dashboard Cite

show abstract

“…Our results also demonstrated that heterogeneously or extremely dense breasts were associated with biopsy‐proven multifocal breast cancer. Dense breast tissue is known to increase difficulty of mammographic interpretation, and dense breasts may increase the risk of breast cancer 17,21,22 . Although fibroglandular tissues are also enhanced on MRI, MRI allows cross‐sectional contiguous slice imaging, and occult cancers can be detected on MRI using meticulous, consistent technique and image interpretation 23,24 .…”

Section: Discussionmentioning

confidence: 99%

“…Dense breast tissue is known to increase difficulty of mammographic interpretation, and dense breasts may increase the risk of breast cancer. 17,21,22 Although fibroglandular tissues are also enhanced on MRI, MRI allows cross-sectional contiguous slice imaging, and occult cancers can be detected on MRI using meticulous, consistent technique and image interpretation. 23,24 This is consistent with a recent prospective randomized trial for patients with extremely dense breasts which has shown better detection (fewer interval cancers) compared to mammography.…”

Section: Factors Associated With Detection Of Occult Cancermentioning

confidence: 99%

Factors associated with MRI detection of occult lesions in newly diagnosed breast cancers

Wecsler

Jeong

Raghavendra

et al. 2020

Journal of Surgical Oncology

View full text Add to dashboard Cite

Background The use of preoperative magnetic resonance imaging (MRI) for newly diagnosed breast cancer remains controversial. We examined factors associated with detection of occult multicentric, multifocal, and contralateral malignant lesions only seen by MRI. Methods We performed a retrospective analysis of consecutive patients undergoing preoperative MRI for breast cancer. Clinicopathologic data were assessed regarding the findings of multifocality, multicentricity, and the presence of contralateral lesions. We analyzed the association of factors with these findings on MRI. Results Of 857 patients undergoing MRI, 770 patients met inclusion criteria. Mean age was 54.7 years. Biopsy‐proven detection rates by MRI for multifocal, multicentric, and contralateral cancers were 6.2% (48 of 770), 1.9% (15 of 770) and 3.1% (24 of 770), respectively. African American race and heterogeneously or extremely dense mammographic density were associated with multifocal cancers on MRI. Larger lesion size and mammographic density were associated with multicentric cancers. Invasive lobular carcinoma (ILC) and progesterone receptor (PR)‐positivity were associated with contralateral cancers. Conclusions African American race, heterogeneously or extremely dense mammographic density, ILC, and PR‐positivity were associated with additional biopsy‐proven cancers based on MRI. These factors should be considered when assessing the clinical utility of preoperative breast MRI.

show abstract

“…The proposed end point for this study should be the reduced rate of interval cancers in women with dense breasts. Further, relevant surrogate parameters for a presumed mortality reduction should be sampled and analysed (38). The results will be helpful in making evidence-based political, economic and workflow decisions on refined population-based supplemental screening.…”

Section: Evidence Based Medicine and Coverage For Supplemental Screeningmentioning

confidence: 99%

3D Supine Automated Ultrasound (SAUS, ABUS, ABVS) for Supplemental Screening Women with Dense Breasts

Mundinger¹

2016

J Breasth Health

View full text Add to dashboard Cite

The latest re-analysis of ACRIN 6666 data by Berg and co-workers 2016 showed that cancer detection rate with handheld ultrasound (HHUS) is comparable with mammography, with a greater proportion of invasive and node-negative cancers among US detections (1). Supplemental screening by HHUS in addition to mammography in women with dense breasts results in additional screen detected cancer rates between 1.8 and 4.6 per thousand examinations depending on the basic risk of the collectives (2). Three-dimensional supine automated ultrasound (SAUS) of the breast, also known as 3D automated breast ultrasound (ABUS; trademarks of General Electric company; Invenia and somo v * ABUS) or 3D automated breast volume scanning (ABVS, trademark of Siemens company; ACUSON S2000™ automated breast volume scanner), represents an innovative technology that has gained FDA approval for screening or early detection of breast cancer in women with dense breasts; claiming to find 35.7% more cancers in women with dense breasts than mammography alone (3, 4). Can ABUS/ABVS really catch up with HHUS and other supplementary imaging methods in screening women with dense breasts? What is the future of population-based supplemental imaging in women at intermediate risk? 3D supine automated ultrasound (SAUS: ABUS, ABVS) -what is it?In contrast to HHUS a mechanical arm links the ABUS or ABVS transducer with the computing system. Patients lie supine. A technician performs several automated standardized scanning tracks of both breasts at a predefined speed. The resulting three-dimensional data sets co-register the US echo information with the corresponding voxel positions within the breast volume. Finally a physician reads the data on a workstation similar to reading a CT or MRI examinations in multiple planes and reconstructions (5). Multiplanar reconstructions of 3D automated breast ultrasound have been shown to improve lesion differentiation by radiologists (6). Modern prone water bath systems operate on the principles of ultrasound tomography. They incorporate multiple sound characteristics of reflection, sound speed, and attenuation of transmission ultrasound that can be sampled by a circular array surrounding the breast. Currently clinical studies have been initiated. However, population-based trials do not exist to date (4). Advantages of 3D supine automated ultrasound (SAUS)Older versions of the 3D supine automated ultrasound technology have been shown to be inferior to HHUS (5, 7), however updated technology has overcome previous problems to a large degree (8, 9). The newest generation of ABUS (Invenia ABUS; trademark of GE) is faster, achieves a higher resolution and generates less coupling artefacts between the curved transducer and the curved surface of the breast compared to older systems with a plane transducer surface (5). Compared to HHUS, 3D supine automated ultrasound of the breast provides for better detection of architectural distortions and hyperechoic rim in the coronal plane (10, 11). The complete, non-selective documentation of th...

show abstract

Supplemental Breast Cancer Screening in Women With Dense Breasts Should Be Offered With Simultaneous Collection of Outcomes Data

Cited by 18 publications

References 10 publications

Variability of Breast Density Classification Between US and UK Radiologists

Variability of Breast Density Classification Between US and UK Radiologists

Factors associated with MRI detection of occult lesions in newly diagnosed breast cancers

3D Supine Automated Ultrasound (SAUS, ABUS, ABVS) for Supplemental Screening Women with Dense Breasts

Contact Info

Product

Resources

About