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Tarchi SM, Salvatore M, Lichtenstein P, Sekar T, Capaccione K, Luk L, Shaish H, Makkar J, Desperito E, Leb J, Navot B, Goldstein J, Laifer S, Beylergil V, Ma H, Jambawalikar S, Aberle D, D'Souza B, Bentley-Hibbert S, Marin MP. Radiology of fibrosis. Part I: Thoracic organs. J Transl Med 2024; 22:609. [PMID: 38956586 PMCID: PMC11218337 DOI: 10.1186/s12967-024-05244-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/27/2024] [Indexed: 07/04/2024] Open
Abstract
Sustained injury from factors such as hypoxia, infection, or physical damage may provoke improper tissue repair and the anomalous deposition of connective tissue that causes fibrosis. This phenomenon may take place in any organ, ultimately leading to their dysfunction and eventual failure. Tissue fibrosis has also been found to be central in both the process of carcinogenesis and cancer progression. Thus, its prompt diagnosis and regular monitoring is necessary for implementing effective disease-modifying interventions aiming to reduce mortality and improve overall quality of life. While significant research has been conducted on these subjects, a comprehensive understanding of how their relationship manifests through modern imaging techniques remains to be established. This work intends to provide a comprehensive overview of imaging technologies relevant to the detection of fibrosis affecting thoracic organs as well as to explore potential future advancements in this field.
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Affiliation(s)
- Sofia Maria Tarchi
- Department of Biomedical Sciences, Humanitas University, Milan, Italy.
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA.
| | - Mary Salvatore
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Philip Lichtenstein
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Thillai Sekar
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Kathleen Capaccione
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Lyndon Luk
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Hiram Shaish
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Jasnit Makkar
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Elise Desperito
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Jay Leb
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Benjamin Navot
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Jonathan Goldstein
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Sherelle Laifer
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Volkan Beylergil
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Hong Ma
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Sachin Jambawalikar
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Dwight Aberle
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Belinda D'Souza
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Stuart Bentley-Hibbert
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Monica Pernia Marin
- Department of Radiology, Columbia University Irving Medical Center, 630 W 168th Street, New York, NY, 10032, USA
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Ren W, Yan H, Zhao X, Jia M, Zhang S, Zhang J, Li Z, Ming L, Zhang Y, Li H, He L, Li X, Cheng X, Yue L, Zhou W, Qiao Y, Zhao F. Integration of Handheld Ultrasound or Automated Breast Ultrasound among Women with Negative Mammographic Screening Findings: A Multi-center Population-based Study in China. Acad Radiol 2023; 30 Suppl 2:S114-S126. [PMID: 37003874 DOI: 10.1016/j.acra.2023.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 04/03/2023]
Abstract
RATIONALE AND OBJECTIVES This study assessed the role of second-look automated breast ultrasound (ABUS) adjunct to mammography (MAM) versus MAM alone in asymptomatic women and compared it with supplementing handheld ultrasound (HHUS). MATERIALS AND METHODS Women aged 45 to 64 underwent HHUS, ABUS, and MAM among six hospitals in China from 2018 to 2022. We compared the screening performance of three strategies (MAM alone, MAM plus HHUS, and MAM plus ABUS) stratified by age groups and breast density. McNemar's test was used to assess differences in the cancer detection rate (CDR), the false-positive biopsy rate, sensitivity, and specificity of different strategies. RESULTS Of 19,171 women analyzed (mean [SD] age, 51.54 [4.61] years), 72 cases of breast cancer (3.76 per 1000) were detected. The detection rates for both HHUS and ABUS combined with MAM were statistically higher than those for MAM alone (all p < 0.001). There was no significant difference in cancer yields between the two integration strategies. The increase in CRD of the integrated strategies was higher in women aged 45-54 years with denser breasts compared with MAM alone (all p < 0.0167). In addition, the false-positive biopsy rate of MAM plus ABUS was lower than that of MAM plus HHUS (p = 0.025). Moreover, the retraction in ABUS was more frequent in cases detected among MAM-negative results. CONCLUSION Integrated ABUS or HHUS into MAM provided similar CDRs that were significantly higher than those for MAM alone in younger women (45-54 years) with denser breasts. ABUS has the potential to avoid unnecessary biopsies and provides specific image features to distinguish malignant tumors from HHUS.
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Affiliation(s)
- Wenhui Ren
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huijiao Yan
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xuelian Zhao
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mengmeng Jia
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shaokai Zhang
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, Henan, China
| | - Junpeng Zhang
- Department of Breast Surgery, Xinmi Maternal and Child Health Care Hospital, Xinmi, Henan, China
| | - Zhifang Li
- Department of Preventive Medicine, Changzhi Medical College, Changzhi, Shanxi, China
| | - Lingling Ming
- Department of Breast Surgery, Zezhou Maternal and Child Health Care Hospital, Zezhou, Shanxi, China
| | - Yongdong Zhang
- Department of Ultrasound, Jungar Banner Maternal and Child Care Service Centre, Jungar, Inner Mongolia, China
| | - Huibing Li
- Department of Women Health, Chongzhou Maternal & Child Health Care Hospital, Chongzhou, Sichuan, China
| | - Lichun He
- Physical Examination Center, Mianyang Maternal & Child Health Care Hospital, Mianyang Children's Hospital, Mianyang, Sichuan, China
| | - Xiaofeng Li
- School of Public Health, Dalian Medical University, Dalian, Liaoning, China
| | - Xia Cheng
- Department of Women Health, Dalian Women and Children's Medical Group, Dalian, Liaoning, China
| | - Lu Yue
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Wenjing Zhou
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Youlin Qiao
- Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fanghui Zhao
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Wehbe A, Gonte MR, O'Neill SC, Amit‐Yousif A, Purrington K, Manning M, Simon MS. Predictors of nonadherence to breast cancer screening guidelines in a United States urban comprehensive cancer center. Cancer Med 2023; 12:15482-15491. [PMID: 37329206 PMCID: PMC10417068 DOI: 10.1002/cam4.6182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 05/08/2023] [Accepted: 05/20/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND This study aimed to identify predictors of nonadherence to breast cancer screening guidelines in an urban screening clinic among high- and average-risk women in the United States. METHODS We reviewed records of 6090 women who received ≥2 screening mammograms over 2 years at the Karmanos Cancer Institute to examine how breast cancer risk and breast density were associated with guideline-concordant screening. Incongruent screening was defined as receiving supplemental imaging between screening mammograms for average-risk women, and as not receiving recommended supplemental imaging for high-risk women. We used t-tests and chi-square tests to examine bivariate associations with guideline-congruent screening, and probit regression to regress guideline-congruence unto breast cancer risk, breast density, and their interaction, controlling for age and race. RESULTS Incongruent screening was more likely among high- versus average-risk women (97.7% vs. 0.9%, p < 0.01). Among average-risk women, incongruent screening was more likely among those with dense versus nondense breasts (2.0% vs. 0.1%, p < 0.01). Among high-risk women, incongruent screening was more likely among those with nondense versus dense breasts (99.5% vs. 95.2%, p < 0.01). The significant main effects of density and high-risk on increased incongruent screening were qualified by a density by high-risk interaction, showing a weaker association between risk and incongruent screening among women with dense breasts (simple slope = 3.71, p < 0.01) versus nondense breasts (simple slope = 5.79, p < 0.01). Age and race were not associated with incongruent screening. CONCLUSIONS Lack of adherence to evidence-based screening guidelines has led to underutilization of supplementary imaging for high-risk women and potential overutilization for women with dense breasts without other risk factors.
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Affiliation(s)
- Alexandra Wehbe
- Harvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of OncologyBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
- Population Studies and Disparities Research ProgramBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
- Wayne State University School of MedicineDetroitMichiganUSA
| | - Madeleine R. Gonte
- Harvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Wayne State University School of MedicineDetroitMichiganUSA
| | - Suzanne C. O'Neill
- Department of Oncology, Lombardi Cancer CenterGeorgetown UniversityWashingtonDCUSA
| | - Alit Amit‐Yousif
- Center for Breast HealthOakland Macomb Obstetrics and GynecologyRochester HillsMichiganUSA
| | - Kristen Purrington
- Population Studies and Disparities Research ProgramBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
| | - Mark Manning
- Department of PsychologyOakland UniversityRochesterMichiganUSA
- Center for Molecular Medicine and GeneticsWayne State University School of MedicineDetroitMichiganUSA
| | - Michael S. Simon
- Department of OncologyBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
- Population Studies and Disparities Research ProgramBarbara Ann Karmanos Cancer InstituteDetroitMichiganUSA
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Trepanier C, Huang A, Liu M, Ha R. Emerging uses of artificial intelligence in breast and axillary ultrasound. Clin Imaging 2023; 100:64-68. [PMID: 37243994 DOI: 10.1016/j.clinimag.2023.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/02/2023] [Indexed: 05/29/2023]
Abstract
Breast ultrasound is a valuable adjunctive tool to mammography in detecting breast cancer, especially in women with dense breasts. Ultrasound also plays an important role in staging breast cancer by assessing axillary lymph nodes. However, its utility is limited by operator dependence, high recall rate, low positive predictive value and low specificity. These limitations present an opportunity for artificial intelligence (AI) to improve diagnostic performance and pioneer novel uses of ultrasound. Research in developing AI for radiology has flourished over the past few years. A subset of AI, deep learning, uses interconnected computational nodes to form a neural network, which extracts complex visual features from image data to train itself into a predictive model. This review summarizes several key studies evaluating AI programs' performance in predicting breast cancer and demonstrates that AI can assist radiologists and address limitations of ultrasound by acting as a decision support tool. This review also touches on how AI programs allow for novel predictive uses of ultrasound, particularly predicting molecular subtypes of breast cancer and response to neoadjuvant chemotherapy, which have the potential to change how breast cancer is managed by providing non-invasive prognostic and treatment data from ultrasound images. Lastly, this review explores how AI programs demonstrate improved diagnostic accuracy in predicting axillary lymph node metastasis. The limitations and future challenges in developing and implementing AI for breast and axillary ultrasound will also be discussed.
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Affiliation(s)
- Christopher Trepanier
- Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032, United States of America.
| | - Alice Huang
- Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032, United States of America.
| | - Michael Liu
- Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032, United States of America.
| | - Richard Ha
- Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032, United States of America.
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Kwon MR, Choi JS, Lee MY, Kim S, Ko ES, Ko EY, Han BK. Screening Outcomes of Supplemental Automated Breast US in Asian Women with Dense and Nondense Breasts. Radiology 2023; 307:e222435. [PMID: 37097135 DOI: 10.1148/radiol.222435] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Background Automated breast (AB) US effectively depicts mammographically occult breast cancers in Western women. However, few studies have focused on the outcome of supplemental AB US in Asian women who have denser breasts than Western women. Purpose To evaluate the performance of supplemental AB US on mammography-based breast cancer screening in Asian women with dense breasts and those with nondense breasts. Materials and Methods A retrospective database search identified asymptomatic Korean women who underwent digital mammography (DM) and supplemental AB US screening for breast cancer between January 2018 and December 2019. We excluded women without sufficient follow-up, established final diagnosis, or histopathologic results. Performance measures of DM alone and AB US combined with DM (hereafter AB US plus DM) were compared. The primary outcome was cancer detection rate (CDR), and the secondary outcomes were sensitivity and specificity. Subgroup analyses were performed based on mammography density. Results From 2785 screening examinations in 2301 women (mean age, 52 years ± 9 [SD]), 28 cancers were diagnosed (26 screening-detected cancers, two interval cancers). When compared with DM alone, AB US plus DM resulted in a higher CDR of 9.3 per 1000 examinations (95% CI: 7.7, 10.3) versus 6.5 per 1000 examinations (95% CI: 5.2, 7.2; P < .001) and a higher sensitivity of 90.9% (95% CI: 77.3, 100.0) versus 63.6% (95% CI: 40.9, 81.8; P < .001) but a lower specificity of 86.8% (95% CI: 85.2, 88.2) versus 94.6% (95% CI: 93.6, 95.5; P < .001) in women with dense breasts. In women with nondense breasts, AB US plus DM resulted in a higher CDR of 9.5 per 1000 examinations (95% CI: 7.1, 10.6) versus 6.3 per 1000 examinations (95% CI: 3.5, 7.1; P < .001), whereas specificity was lower at 95.2% (95% CI: 93.4, 96.8) versus 97.1% (95% CI: 95.8, 98.4; P < .001). Conclusion In Asian women, the addition of automated breast US to digital mammography showed higher cancer detection rates but lower specificities in both dense and nondense breasts. © RSNA, 2023 Supplemental material is available for this article.
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Affiliation(s)
- Mi-Ri Kwon
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
| | - Ji Soo Choi
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
| | - Mi Yeon Lee
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
| | - Sinae Kim
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
| | - Eun Sook Ko
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
| | - Eun Young Ko
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
| | - Boo Kyung Han
- From the Department of Radiology (M.R.K.) and Division of Biostatistics, Department of R&D Management (M.Y.L., S.K.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea (J.S.C., E.S.K., E.Y.K., B.K.H.); and Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea (J.S.C.)
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Lobig F, Caleyachetty A, Forrester L, Morris E, Newstead G, Harris J, Blankenburg M. Performance of Supplemental Imaging Modalities for Breast Cancer in Women With Dense Breasts: Findings From an Umbrella Review and Primary Studies Analysis. Clin Breast Cancer 2023:S1526-8209(23)00088-5. [PMID: 37202338 DOI: 10.1016/j.clbc.2023.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 02/28/2023] [Accepted: 04/14/2023] [Indexed: 05/20/2023]
Abstract
Breast cancer screening performance of supplemental imaging modalities by breast density and breast cancer risk has not been widely studied, and the optimal choice of modality for women with dense breasts remains unclear in clinical practice and guidelines. This systematic review aimed to assess breast cancer screening performance of supplemental imaging modalities for women with dense breasts, by breast cancer risk. Systematic reviews (SRs) in 2000 to 2021, and primary studies in 2019 to 2021, on outcomes of supplemental screening modalities (digital breast tomography [DBT], MRI (full/abbreviated protocol), contrast enhanced mammography (CEM), ultrasound (hand-held [HHUS]/automated [ABUS]) in women with dense breasts (BI-RADS C&D) were identified. None of the SRs analyzed outcomes by cancer risk. Meta-analysis of the primary studies was not feasible due to lack of studies (MRI, CEM, DBT) or methodological heterogeneity (ultrasound); therefore, findings were summarized narratively. For average risk, a single MRI trial reported a superior screening performance (higher cancer detection rate [CDR] and lower interval cancer rate [ICR]) compared to HHUS, ABUS and DBT. For intermediate risk, ultrasound was the only modality assessed, but accuracy estimates ranged widely. For mixed risk, a single CEM study reported the highest CDR, but included a high proportion of women with intermediate risk. This systematic review does not allow a complete comparison of supplemental screening modalities for dense breast populations by breast cancer risk. However, the data suggest that MRI and CEM might generally offer superior screening performance versus other modalities. Further studies of screening modalities are urgently required.
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Affiliation(s)
| | | | | | - Elizabeth Morris
- University of California Davis, Department of Radiology, Sacramento, CA 95817, USA
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Yong-Hing CJ, Gordon PB, Appavoo S, Fitzgerald SR, Seely JM. Addressing Misinformation About the Canadian Breast Screening Guidelines. Can Assoc Radiol J 2022; 74:388-397. [PMID: 36048585 DOI: 10.1177/08465371221120798] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Screening mammography has been shown to reduce breast cancer mortality by 41% in screened women ages 40-69 years. There is misinformation about breast screening and the Canadian breast screening guidelines. This can decrease confidence in screening mammography and can lead to suboptimal recommendations. We review some of this misinformation to help radiologists and referring physicians navigate the varied international and provincial guidelines. We address the ages to start and stop breast screening. We explore how these recommendations may vary for specific populations such as patients who are at increased risk, transgender patients and minorities. We identify who would benefit from supplemental screening and review the available supplemental screening modalities including ultrasound, MRI, contrast-enhanced mammography and others. We describe emerging technologies including the potential use of artificial intelligence for breast screening. We provide background on why screening policies vary across the country between provinces and territories. This review is intended to help radiologists and referring physicians understand and navigate the varied international and provincial recommendations and guidelines and make the best recommendations for their patients.
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Affiliation(s)
- Charlotte J Yong-Hing
- Faculty of Medicine, Department of Radiology, 8166University of British Columbia, Vancouver, BC, Canada
| | - Paula B Gordon
- Faculty of Medicine, Department of Radiology, 8166University of British Columbia, Vancouver, BC, Canada
| | - Shushiela Appavoo
- Department of Radiology and Diagnostic Imaging, 3158University of Alberta, Edmonton, AB, Canada
| | - Sabrina R Fitzgerald
- Faculty of Medicine, Department of Radiology, 7938University of Toronto, Toronto, ON, Canada
| | - Jean M Seely
- Faculty of Medicine, Department of Radiology, University of Ottawa, Ottawa, ON, Canada.,Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Ontario Breast Screening Program, Ottawa, ON, Canada
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8
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The Impact of Dense Breasts on the Stage of Breast Cancer at Diagnosis: A Review and Options for Supplemental Screening. Curr Oncol 2022; 29:3595-3636. [PMID: 35621681 PMCID: PMC9140155 DOI: 10.3390/curroncol29050291] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 04/23/2022] [Accepted: 04/25/2022] [Indexed: 11/16/2022] Open
Abstract
The purpose of breast cancer screening is to find cancers early to reduce mortality and to allow successful treatment with less aggressive therapy. Mammography is the gold standard for breast cancer screening. Its efficacy in reducing mortality from breast cancer was proven in randomized controlled trials (RCTs) conducted from the early 1960s to the mid 1990s. Panels that recommend breast cancer screening guidelines have traditionally relied on the old RCTs, which did not include considerations of breast density, race/ethnicity, current hormone therapy, and other risk factors. Women do not all benefit equally from mammography. Mortality reduction is significantly lower in women with dense breasts because normal dense tissue can mask cancers on mammograms. Moreover, women with dense breasts are known to be at increased risk. To provide equity, breast cancer screening guidelines should be created with the goal of maximizing mortality reduction and allowing less aggressive therapy, which may include decreasing the interval between screening mammograms and recommending consideration of supplemental screening for women with dense breasts. This review will address the issue of dense breasts and the impact on the stage of breast cancer at the time of diagnosis, and discuss options for supplemental screening.
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Associating Automated Breast Ultrasound (ABUS) and Digital Breast Tomosynthesis (DBT) with Full-Field Digital Mammography (FFDM) in Clinical Practice in Cases of Women with Dense Breast Tissue. Diagnostics (Basel) 2022; 12:diagnostics12020459. [PMID: 35204550 PMCID: PMC8871137 DOI: 10.3390/diagnostics12020459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 02/04/2023] Open
Abstract
The purpose of the present study was to evaluate the value of full-field digital mammography (FFDM) and automated breast ultrasound (ABUS) in the diagnosis of breast cancer compared to FFDM associated with digital breast tomosynthesis (DBT). Methods: This retrospective study included 50 female patients with a denser framework of connective tissue fibers, characteristic of young women who underwent FFDM, DBT, handheld ultrasound (HHUS), and ABUS between January 2017 and October 2018. The sensitivity (Se), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV), and accuracy of FFDM+ABUS were 81.82% (95% CI [48.22–97.72]), 89.74% (95% CI [75.78–97.13]), 69.23% (95% CI [46.05–85.57]), 94.59% (95% CI [83.26–98.40]), and 88% (95% CI [75.69–95.47]), while for FFDM+DBT, the values were as follows: 91.67% (95% CI [61.52–99.79]), 71.79% (95% CI [55.13–85.00]), 50% (95% CI [37.08–62.92]), 96.55% (95% CI [80.93–99.46]), 76.47% (95% CI [62.51–87.21]). We found an almost perfect agreement between the two readers regarding FFDM associated with ABUS, and substantial agreement regarding FFDM+DBT, with a kappa coefficient of 0.896 and 0.8, respectively; p < 0.001. Conclusions: ABUS and DBT are suitable as additional diagnostic imaging techniques to FFDM in women at an intermediate risk of developing breast cancer through the presence of dense breast tissue. In this study, DBT reduced the number of false negative results, while the use of ABUS resulted in an increase in specificity.
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Vegunta S, Kling JM, Patel BK. Supplemental Cancer Screening for Women With Dense Breasts: Guidance for Health Care Professionals. Mayo Clin Proc 2021; 96:2891-2904. [PMID: 34686363 DOI: 10.1016/j.mayocp.2021.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/20/2021] [Accepted: 06/08/2021] [Indexed: 11/16/2022]
Abstract
Mammography is the standard for breast cancer screening. The sensitivity of mammography in identifying breast cancer, however, is reduced for women with dense breasts. Thirty-eight states have passed laws requiring that all women be notified of breast tissue density results in their mammogram report. The notification includes a statement that differs by state, encouraging women to discuss supplemental screening options with their health care professionals (HCPs). Several supplemental screening tests are available for women with dense breast tissue, but no established guidelines exist to direct HCPs in their recommendation of preferred supplemental screening test. Tailored screening, which takes into consideration the patient's mammographic breast density and lifetime breast cancer risk, can guide breast cancer screening strategies that are more comprehensive. This review describes the benefits and limitations of the various available supplemental screening tests to guide HCPs and patients in choosing the appropriate breast cancer screening.
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Affiliation(s)
- Suneela Vegunta
- Division of Women's Health Internal Medicine, Mayo Clinic, Scottsdale, AZ.
| | - Juliana M Kling
- Division of Women's Health Internal Medicine, Mayo Clinic, Scottsdale, AZ
| | - Bhavika K Patel
- Division of Breast Imaging, Mayo Clinic Hospital, Phoenix, AZ
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11
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Singh A, Bhat V, Sudhakar S, Namachivayam A, Gangadharan C, Pulchan C, Sigamani A. Multicentric study to evaluate the effectiveness of Thermalytix as compared with standard screening modalities in subjects who show possible symptoms of suspected breast cancer. BMJ Open 2021; 11:e052098. [PMID: 34667011 PMCID: PMC8527152 DOI: 10.1136/bmjopen-2021-052098] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Machine learning in computer-assisted diagnostics improves sensitivity of image analysis and reduces time and effort for interpretation. Compared to standard mammograms, a thermal scan is easily scalable and is a safer screening tool. We evaluate the performance of Thermalytix (an automated thermographic screening algorithm) compared with other standard breast cancer screening modalities. METHODS A prospective multicentre study was conducted to assess the non-inferiority of sensitivity of Thermalytix (test device) to that of standard modalities in detecting malignancy in subjects who show possible symptoms of suspected breast cancer. Standard screening modalities and Thermalytix were obtained and interpreted independently in a blinded fashion. A receiver operating characteristic (ROC) curve was constructed to identify the best cut-off point, non-inferiority margin of ≥10% to demonstrate the non-inferiority. RESULTS We recruited 258 symptomatic women who first underwent a thermal scan, followed by mammogram and/or ultrasound. At Youden's Index of ROC curve, the test device had a sensitivity of 82.5% (95% CI 73.2 to 91.9) and specificity of 80.5% (95% CI 75.0 to 86.1) as compared with diagnostic mammogram, which had sensitivity of 92% (95% CI 80.7 to 97.8) and specificity of 45.9% (95% CI 34.3 to 57.9) when BI-RADS 3 (Breast Imaging-Reporting and Data System) was considered as test-positive. The overall area under the curve (AUC) was 0.845. For women aged <45 years, the test device had a sensitivity and specificity of 87.0% (95% CI 66.4 to 97.2) and 80.6% (95% CI 72.9 to 86.9), respectively. For women aged ≥45 years, the sensitivity and specificity were 80.5% (95% CI 65.1 to 91.2) and 86.5% (95% CI 78.0 to 92.6, respectively). CONCLUSION We evaluated Thermalytix, a new AI-based modality for detecting breast cancer. The high AUC in both women under 45 years and above 45 years shows the potential of Thermalytix to be a supplemental diagnostic modality for all ages. Further evaluation on larger sample size is needed. TRIAL REGISTRATION NUMBER CTRI/2017/10/0 10 115.
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Affiliation(s)
- Akshita Singh
- Department of Surgical Breast Oncology, Mazumdar Shaw Medical Centre, Narayana Hrudayalaya Limited, Narayana Hrudayalaya Health City, Bangalore, Karnataka, India
| | - Venkatraman Bhat
- Department of Radiology, Mazumdar Shaw Medical Centre, Narayana Hrudayalaya Limited, Narayana Hrudayalaya Health City, Bangalore, Karnataka, India
| | - S Sudhakar
- Department of Radiology, HCG Cancer Hospital, HealthCare Global Enterprises Ltd, Bangalore, Karnataka, India
| | | | - Charitha Gangadharan
- Department of Clinical Research, Narayana Hrudayalaya Limited, Narayana Hrudayalaya Health City, Bangalore, Karnataka, India
| | - Candice Pulchan
- Department of Radiology (Ultrasonographer III (Ag)), South-West Regional Health Authority, San Fernando, Trinidad and Tobago
| | - Alben Sigamani
- Department of Clinical Research, Narayana Hrudayalaya Health City, Bangalore, Karnataka, India
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12
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Hunt KN. Molecular Breast Imaging: A Scientific Review. JOURNAL OF BREAST IMAGING 2021; 3:416-426. [PMID: 38424795 DOI: 10.1093/jbi/wbab039] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Indexed: 03/02/2024]
Abstract
Molecular breast imaging (MBI) is a nuclear medicine technique that has evolved considerably over the past two decades. Technical advances have allowed reductions in administered doses to the point that they are now acceptable for screening. The most common radiotracer used in MBI, 99mTc-sestamibi, has a long history of safe use. Biopsy capability has become available in recent years, with early clinical experience demonstrating technically successful biopsies of MBI-detected lesions. MBI has been shown to be an effective supplemental screening tool in women with dense breasts and is also utilized for breast cancer staging, assessment of response to neoadjuvant chemotherapy, problem solving, and as an alternative to breast MRI in women who have a contraindication to MRI. The degree of background parenchymal uptake on MBI shows promise as a tool for breast cancer risk stratification. Radiologist interpretation is guided by a validated MBI lexicon that mirrors the BI-RADS lexicon. With short interpretation times, a fast learning curve for radiologists, and a substantially lower cost than breast MRI, MBI provides many benefits in the practices in which it is utilized. This review will discuss the current state of MBI technology, clinical applications of MBI, MBI interpretation, radiation dose associated with MBI, and the future of MBI.
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Affiliation(s)
- Katie N Hunt
- Mayo Clinic, Department of Radiology, Rochester, MN, USA
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13
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Klevos GA, Collado-Mesa F, Net JM, Yepes MM. Utility of supplemental screening with breast ultrasound in asymptomatic women with dense breast tissue who are not at high risk for breast cancer. Indian J Radiol Imaging 2021; 27:52-58. [PMID: 28515586 PMCID: PMC5385776 DOI: 10.4103/0971-3026.202962] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective: To assess the results of an initial round of supplemental screening with hand-held bilateral breast ultrasound following a negative screening mammogram in asymptomatic women with dense breast tissue who are not at high risk for breast cancer. Materials and Methods: A retrospective, Health Insurance Portability and Accountability Act compliant, Institutional Research Board approved study was performed at a single academic tertiary breast center. Informed consent was waived. A systematic review of the breast imaging center database was conducted to identify and retrieve data for all asymptomatic women, who were found to have heterogeneously dense or extremely dense breast tissue on screening bilateral mammograms performed from July 1, 2010 through June 30, 2012 and who received a mammographic final assessment American College of Radiology's (ACR) Breast Imaging Reporting and Data System (BI-RADS) category 1 or BI-RADS category 2. Hand-held screening ultrasound was performed initially by a technologist followed by a radiologist. Chi-square and t-test were used and statistical significance was considered at P < 0.05. Results: A total of 1210 women were identified. Of these, 394 underwent the offered supplemental screening ultrasound. BI-RADS category 1 or 2 was assigned to 323 women (81.9%). BI-RADS category 3 was assigned to 50 women (12.9%). A total of 26 biopsies/aspirations were recommended and performed in 26 women (6.6%). The most common finding for which biopsy was recommended was a solid mass (88.5%) with an average size of 0.9 cm (0.5–1.7 cm). Most frequent pathology result was fibroadenoma (60.8%). No carcinoma was found. Conclusion: Our data support the reported occurrence of a relatively high number of false positives at supplemental screening with breast ultrasound following a negative screening mammogram in asymptomatic women with dense breast tissue, who are not at a high risk of developing breast cancer, and suggests that caution is necessary in establishing wide implementation of this type of supplemental screening for all women with dense breast tissue without considering other risk factors for breast cancer.
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Affiliation(s)
- Geetika A Klevos
- Department of Radiology, Sylvester Comprehensive Cancer Center, University of Miami Hospital and Clinics, Miami, Florida, USA
| | - Fernando Collado-Mesa
- Department of Radiology, Sylvester Comprehensive Cancer Center, University of Miami Hospital and Clinics, Miami, Florida, USA
| | - Jose M Net
- Department of Radiology, Sylvester Comprehensive Cancer Center, University of Miami Hospital and Clinics, Miami, Florida, USA
| | - Monica M Yepes
- Department of Radiology, Sylvester Comprehensive Cancer Center, University of Miami Hospital and Clinics, Miami, Florida, USA
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14
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Lee SE, Kim HY, Yoon JH, Kim EK, Kim JY, Kim MJ, Kim GR, Park YV, Moon HJ. Chronological Trends of Breast Ductal Carcinoma In Situ: Clinical, Radiologic, and Pathologic Perspectives. Ann Surg Oncol 2021; 28:8699-8709. [PMID: 34196861 DOI: 10.1245/s10434-021-10378-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/11/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Because no prior studies have evaluated the chronological trends of ductal carcinoma in situ (DCIS) despite the increasing number of surgeries performed for DCIS, this study analyzed how the clinical, radiologic, and pathologic characteristics of DCIS changed during a 10-year period. METHODS Of 7123 patients who underwent primary breast cancer surgery at a single institution from 2006 to 2015, 792 patients with pure DCIS were included in this study. The chronological trends of age, symptoms, method for detecting either mammography or ultrasonography, tumor size, nuclear grade, comedonecrosis, and molecular markers were calculated using Poisson regression for all patients and asymptomatic patients. RESULTS During 10 years, DCIS surgery rates significantly increased (p < 0.001). Despite the high percentage of DCIS detected on mammography, the detection rate for DCIS by mammography significantly decreased (97.3% in 2006 to 67.6% in 2015; p = 0.025), whereas the detection rate by ultrasound significantly increased (2.7% to 31.0%; p < 0.001). Conservation surgery rates (odds ratio [OR], 1.058), low-to-intermediate nuclear grade rates (OR, 1.069), and the absence of comedonecrosis (OR, 1.104) significantly increased over time (all p < 0.05). Estrogen receptor (ER) negativity (OR, 0.935) and human epidermal growth factor receptor 2 (HER2) positivity rates (OR, 0.953) significantly decreased (all p < 0.05). The same trends were observed for the 613 asymptomatic patients. CONCLUSION The rate of DCIS detected on ultrasound only significantly increased during 10 years. Low-to-intermediate nuclear grade rates significantly increased, whereas ER negativity and HER2 positivity rates significantly decreased during the same period. These findings suggest that DCIS detected on screening ultrasound is less aggressive than DCIS detected on mammography.
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Affiliation(s)
- Si Eun Lee
- Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Ha Yan Kim
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hyun Yoon
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Eun-Kyung Kim
- Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Jee Ye Kim
- Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Min Jung Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Ga Ram Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Youngjean Vivian Park
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hee Jung Moon
- Department of Radiology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.
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Kovan Ö, Güldoğan N, Yılmaz E, Arslan A. ABUS examination time: An observational study of operators' experience. J Med Imaging Radiat Sci 2021; 52:374-378. [PMID: 34183303 DOI: 10.1016/j.jmir.2021.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/06/2021] [Accepted: 06/07/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE In this study we aimed to evaluate the operation times of ABUS by technologists during the learning time course and share the learning experience. MATERIALS AND METHOD The first consequent 400 examinations after the installation of an ABUS unit in the breast clinic between August 2017 and December 2017 were included. Total examination time was measured for each procedure. The initial and final examination times during the learning period were compared. Data were analyzed with the Mann-Whitney Test. RESULTS The acquisition times for routine six position examination ranged between eight and 36 minutes with an average of 13.2 ± 3.58 min. The examination time for the eight position examination ranged between 18 and 32 min, with an average of 22.9 ± 3.93 min. The overall average examination time was 13.3 ± 3.98 min. There was a significant difference (p = 0.00) between the average initial and final examination times of the learning period with an average decrease of 10.6 min. CONCLUSION The average time of an ABUS examination for an average breast is less than 15 min. ABUS examination time reduced as technologists became familiar with the sonographic anatomy of the breast and experienced in positioning technique during the learning curve.
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Affiliation(s)
- Özge Kovan
- Acıbadem Mehmet Ali Aydınlar University, Vocational School of Health Services, Medical Imaging Techniques Programme, Istanbul, Turkey.
| | - Nilgün Güldoğan
- Acıbadem Altunizade Hospital, Breast Clinic, Istanbul, Turkey.
| | - Ebru Yılmaz
- Acıbadem Altunizade Hospital, Breast Clinic, Istanbul, Turkey.
| | - Aydan Arslan
- Zonguldak Maternity and Child Health Hospital Radiology Department, Zonguldak, Turkey.
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16
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Wu T, Warren LJ. The Added Value of Supplemental Breast Ultrasound Screening for Women With Dense Breasts: A Single Center Canadian Experience. Can Assoc Radiol J 2021; 73:101-106. [PMID: 34134531 DOI: 10.1177/08465371211011707] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
PURPOSE We evaluated the contribution to cancer detection of supplemental breast ultrasound screening in women with dense breasts based on a single center experience by comparing our results with similar programs elsewhere. METHODS We performed a retrospective review of handheld sonographer-performed screening ultrasound exams at our academic breast imaging center, from January 1st to December 31st, 2019. Breast density, breast cancer risk factors, BI-RADS assessment, and lesion pathology were reviewed and tallied, followed by derivation of the biopsy rate, breast cancer detection rate, PPV3 and average tumor size. These values were compared to published results of breast screening programs elsewhere. RESULTS 695 screening breast ultrasounds for women with dense breasts and negative mammograms were performed in 2019. The biopsy rate was 1.3%, breast cancer detection rate was 7 in 1000, PPV3 was 42%, and the average tumor size was 9.0 ± 1.4 mm. CONCLUSIONS The first-year data of the breast screening ultrasound program at our practice are promising, demonstrating comparable cancer detection rate, higher PPV3, and similar biopsy rate in those with dense breasts compared with similar programs elsewhere. Longitudinal analysis and larger sample size are required for validation. Comparison of incidence and prevalence screening data is also warranted to elucidate the true value of this program.
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Affiliation(s)
- Tong Wu
- Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Linda J Warren
- Department of Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.,Dr. Linda Warren and Associates, Vancouver, British Columbia, Canada
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Manning M, O'Neill S, Purrington K. Physicians' perceptions of breast density notification laws and appropriate patient follow-up. Breast J 2021; 27:586-594. [PMID: 33991030 DOI: 10.1111/tbj.14240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 04/20/2021] [Accepted: 04/22/2021] [Indexed: 12/19/2022]
Abstract
Breast density notification laws have been adopted in the absence of consistent guidelines for post-notification follow-up. This can lead to inconsistent and potentially deficient management of women's health due to inconsistent physician practices. We examined physicians' knowledge and practices regarding follow-up for patients who receive density notifications. Physicians who referred patients to a Michigan hospital network for screening mammograms were recruited to participate in survey study; 105 (29.8%) responded. The survey assessed physicians' demographics, knowledge, and awareness of breast density and breast cancer risk and of density notification laws, and perceptions of appropriate follow-up behaviors for their patients who received density notifications. Most physicians (75%) knew about the notification law, and they were generally comfortable responding to breast density questions and deciding on follow-up. Most indicated that additional breast imaging (68.0%), followed by assessing breast cancer risk (24.7%) were appropriate follow-up responses. Physicians who performed breast cancer risk assessments, and who were more comfortable with breast density questions and follow-up decision making, were more likely to propose additional imaging. Male physicians were less likely to propose assessing breast cancer risk, and less likely to propose clinical and/or breast self-examinations. Divergence between practice and guidelines when it comes to supplemental breast cancer screening, coupled with density notification language that promotes additional screening in the absence of consistent evidence, remains concerning. Improved understanding of how density notification recipients and their physicians make decisions about supplemental screening is warranted to ensure that breast cancer risk is properly considered.
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Affiliation(s)
- Mark Manning
- Department of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI, USA
| | - Suzanne O'Neill
- Department of Oncology, Lombardi Cancer Center, Georgetown University, Washington, DC, USA
| | - Kristen Purrington
- Department of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI, USA
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18
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Hadadi I, Rae W, Clarke J, McEntee M, Ekpo E. Diagnostic Performance of Adjunctive Imaging Modalities Compared to Mammography Alone in Women with Non-Dense and Dense Breasts: A Systematic Review and Meta-Analysis. Clin Breast Cancer 2021; 21:278-291. [PMID: 33846098 DOI: 10.1016/j.clbc.2021.03.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/25/2021] [Accepted: 03/08/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE To compare the diagnostic performance of mammography (MG) alone versus MG combined with adjunctive imaging modalities, including handheld ultrasound (HHUS), automated breast ultrasound (ABUS), digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), and magnetic resonance imaging (MRI) in women with non-dense and dense breasts. PATIENTS AND METHODS Medline, Embase, PubMed, CINAHL, Scopus, and the Web of Science databases were searched up to October 2019. Quality assessment was performed using QUADAS-2. RevMan 5.3 was used to conduct a meta-analysis of the studies. RESULTS In dense breasts, adding adjunctive modalities significantly increased cancer detection rates (CDRs): HHUS (relative risk [RR] = 1.49; 95% confidence interval [CI], 1.19-1.86; P = .0005); ABUS (RR = 1.44; 95% CI, 1.16-1.78; P = .0008); DBT (RR = 1.38; 95% CI, 1.14-1.67; P = .001); CEM (RR = 1.37; 95% CI, 1.12-1.69; P = .003); and MRI (RR = 2.16; 95% CI, 1.81-2.58; P < .00001). The recall rate was significantly increased by HHUS (RR = 2.03; 95% CI, 1.89-2.17; P < .00001), ABUS (RR = 1.90; 95% CI, 1.81-1.99; P < .00001), and MRI (RR = 2.71; 95% CI, 1.73-4.25; P < .0001), but not by DBT (RR = 1.14; 95% CI, 0.95-1.36; P = .15). In non-dense breasts, HHUS and MRI showed significant increases in CDRs but not DBT: HHUS (RR = 1.14; 95% CI, 1.01-1.29; P = .04); MRI (RR = 1.78; 95% CI, 1.14-2.77; P = .01); and DBT (RR = 1.09; 95% CI, 1.13-1.75; P = .08). The recall rate was also significantly increased by HHUS (RR = 1.43; 95% CI, 1.28-1.59; P < .00001) and MRI (RR = 3.01; 95% CI, 1.68-5.39; P = .0002), whereas DBT showed a non-significant reduction (RR = 0.83; 95% CI, 0.65-1.05; P = .12). CONCLUSION Adding adjunctive modalities to MG increases CDRs in women with dense and non-dense breasts. Ultrasound and MRI increase recall rates across all breast densities; however, MRI results in higher values for both CDRs and recall rates.
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Affiliation(s)
- Ibrahim Hadadi
- Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Australia; Department of Radiological Sciences, Faculty of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
| | - William Rae
- Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Jillian Clarke
- Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Mark McEntee
- Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Australia; University College Cork, Discipline of Diagnostic Radiography, UG 12 Áras Watson, Brookfield Health Sciences, College Road, Cork, T12 AK54
| | - Ernest Ekpo
- Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Australia; Orange Radiology, Laboratories and Research Centre, Calabar, Nigeria
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Wang L, Strigel RM. Supplemental Screening for Patients at Intermediate and High Risk for Breast Cancer. Radiol Clin North Am 2020; 59:67-83. [PMID: 33223001 DOI: 10.1016/j.rcl.2020.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The sensitivity of mammography is more limited in patients with dense breasts and some patients at higher risk for breast cancer. Patients with intermediate or high risk for breast cancer may begin screening earlier and benefit from supplemental screening techniques beyond standard 2-dimensional mammography. A patient's individual risk factors for developing breast cancer, their breast density, and the evidence supporting specific modalities for a given clinical scenario help to determine the need for supplemental screening and the modality chosen. Additional factors include the availability of supplemental screening techniques at an individual institution, cost, insurance coverage, and state-specific breast density legislation.
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Affiliation(s)
- Lilian Wang
- Northwestern Medicine, Chicago, IL, USA; Prentice Women's Hospital, 250 East Superior Street, 4th Floor, Room 04-2304, Chicago, IL 60611, USA
| | - Roberta M Strigel
- Breast Imaging and Intervention, University of Wisconsin, 600 Highland Avenue, Madison, WI 53792-3252, USA.
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20
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Kim SH, Kim HH, Moon WK. Automated Breast Ultrasound Screening for Dense Breasts. Korean J Radiol 2020; 21:15-24. [PMID: 31920025 PMCID: PMC6960307 DOI: 10.3348/kjr.2019.0176] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 09/04/2019] [Indexed: 11/25/2022] Open
Abstract
Mammography is the primary screening method for breast cancers. However, the sensitivity of mammographic screening is lower for dense breasts, which are an independent risk factor for breast cancers. Automated breast ultrasound (ABUS) is used as an adjunct to mammography for screening breast cancers in asymptomatic women with dense breasts. It is an effective screening modality with diagnostic accuracy comparable to that of handheld ultrasound (HHUS). Radiologists should be familiar with the unique display mode, imaging features, and artifacts in ABUS, which differ from those in HHUS. The purpose of this study was to provide a comprehensive review of the clinical significance of dense breasts and ABUS screening, describe the unique features of ABUS, and introduce the method of use and interpretation of ABUS.
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Affiliation(s)
- Sung Hun Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
| | - Hak Hee Kim
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Woo Kyung Moon
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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21
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Montalcini T, Pujia A, Donini LM, Frittitta L, Galvano F, Natali A, Pironi L, Porrini M, Riso P, Rivellese AA, Russo D, Scapagnini G, Serafini M, Tagliabue A, De Lorenzo A. A Call to Action: Now Is the Time to Screen Elderly and Treat Osteosarcopenia, a Position Paper of the Italian College of Academic Nutritionists MED/49 (ICAN-49). Nutrients 2020; 12:E2662. [PMID: 32878316 PMCID: PMC7550989 DOI: 10.3390/nu12092662] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 08/24/2020] [Accepted: 08/28/2020] [Indexed: 02/06/2023] Open
Abstract
Aging is a risk factor for the development of multiple chronic diseases, including cardiovascular disease, cancer and dementia. Life expectancy has increased in certain countries but this phenomenon is associated with a reduction of years of healthy life. Aging is associated with a number of physical and functional changes, especially sarcopenia. Sarcopenia is a clinical condition associated with a decrease in skeletal muscle and muscle strength, however, sarcopenia is a reversible condition. On the basis of the current scientific literature, sarcopenia could more appropriately capture an individual's vulnerability to negative health-related outcomes since it represents an early form of the chronic diseases. Recognition of this clinical condition can improve the management of older individuals in many different clinical settings. Despite the limitations of the indirect methods used to study body composition, the Italian College of the Academic Nutritionists ME/49 recommends that health authorities and health professionals around the world should make a greater effort to diagnose sarcopenia earlier and to manage it more effectively. In line with the development of cancer screening, the use of two diagnostic tools for sarcopenia (BIA and DXA) should be implemented.
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Affiliation(s)
- Tiziana Montalcini
- Department of Clinical and Experiment Medicine, University of Catanzaro Magna Grecia, Viale Europa, 88100 Catanzaro, Italy;
| | - Arturo Pujia
- Department of Clinical and Experiment Medicine, University of Catanzaro Magna Grecia, Viale Europa, 88100 Catanzaro, Italy;
| | - Lorenzo M. Donini
- Department of Experimental Medicine, University of la Sapienza, Piazzale Aldo Moro 5, 00185 Rome, Italy;
| | - Lucia Frittitta
- Department of Clinical and Experiment Medicine, University of Catania, Via Santa Sofia, 86-95123 Catania, Italy;
| | - Fabio Galvano
- Department of Biomedical and Biotechnology Science, University of Catania, Via Santa Sofia, 86-95123 Catania, Italy;
| | - Andrea Natali
- Department of Clinical and Experiment Medicine, University of Pisa, Lungarno Antonio Pacinotti, 43, 56126 Pisa, Italy;
| | - Loris Pironi
- Department of Medical and Surgical Science, University of Bologna, Via Pupilli, 1, 40136 Bologna, Italy;
| | - Marisa Porrini
- Department of Food, Nutrition and Environment Science, University of Milan, Via Festa del Perdono, 7, 20122 Milano, Italy; (M.P.); (P.R.)
| | - Patrizia Riso
- Department of Food, Nutrition and Environment Science, University of Milan, Via Festa del Perdono, 7, 20122 Milano, Italy; (M.P.); (P.R.)
| | - Angela Albarosa Rivellese
- Department of Clinical and Experiment Medicine, University of Naples Federico II, Corso Umberto I, 40, 80138 Napoli, Italy;
| | - Diego Russo
- Department of Health Science, University of Catanzaro Magna Grecia, Viale Europa, 88100 Catanzaro, Italy;
| | - Giovanni Scapagnini
- Department of Medicine and Health Science, University of Molise, Via F. De Sanctis, 86100 Campobasso, Italy;
| | - Mauro Serafini
- Department of Bioscience and food technology, University of Teramo, Via Renato Balzarini, 1, 64100 Teramo, Italy;
| | - Anna Tagliabue
- Department of Public Health, University of Pavia, Corso Str. Nuova, 65, 27100 Pavia, Italy;
| | - Antonino De Lorenzo
- Biomedicine and Prevention, University of Tor Vergata, Via Montpellier, 1, 00133 Roma, Italy;
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Margolies LR, Salvatore M, Tam K, Yip R, Bertolini A, Henschke CI, Yankelevitz DF. Breast mass assessment on chest CT: Axial, sagittal, coronal or maximal intensity projection? Clin Imaging 2020; 63:60-64. [PMID: 32146335 DOI: 10.1016/j.clinimag.2020.02.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 02/18/2020] [Accepted: 02/24/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVES The goal of this work is to determine the optimal projection to detect breast masses on Chest CT. METHODS Institutional Review Board (HIPPA compliant) approval was obtained with a waiver of consent. 10 image pairs of Chest CT images containing breast masses were selected for review by 10 chest radiologists: the pairs consisted of axial, sagittal, coronal and axial MIP images (MIP images) with each projection compared to a MIP and with one another. For each pair, the image where the mass was most conspicuous was recorded. RESULTS MIPs were preferred to any cross sectional projection 82% of the time; sagittal (63%) or coronal (63%) images were preferred to the axial projection. When sagittal and coronal images were compared there was no preference. CONCLUSIONS MIP images should be obtained and reviewed for breast pathology; sagittal or coronal projections may provide additional information.
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Affiliation(s)
- Laurie R Margolies
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America.
| | - Mary Salvatore
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America
| | - Kathleen Tam
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America
| | - Rowena Yip
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America
| | - Alexandra Bertolini
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America
| | - Claudia I Henschke
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America
| | - David F Yankelevitz
- Department of Diagnostic, Molecular and Interventional Radiology, New York, NY, United States of America
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Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis. Br J Cancer 2020; 123:673-688. [PMID: 32528118 PMCID: PMC7434777 DOI: 10.1038/s41416-020-0928-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 05/14/2020] [Accepted: 05/21/2020] [Indexed: 01/09/2023] Open
Abstract
Background Mammography is not effective in detecting breast cancer in dense breasts. Methods A search in Medline, Cochrane, EMBASE and Google Scholar databases was conducted from January 1, 1980 to April 10, 2019 to identify women with dense breasts screened by mammography (M) and/or ultrasound (US). Meta-analysis was performed using the random-effect model. Results A total of 21 studies were included. The pooled sensitivity values of M alone and M + US in patients were 74% and 96%, while specificity of the two methods were 93% and 87%, respectively. Screening sensitivity was significantly higher in M + US than M alone (risk ratio: M alone vs. M + US = 0.699, P < 0.001), but the slight difference in specificity was statistically significant (risk ratio = 1.060, P = 0.001). Pooled diagnostic performance of follow-up US after initial negative mammography demonstrated a high pooled sensitivity (96%) and specificity (88%). The findings were supported by subgroup analysis stratified by study country, US method and timing of US. Conclusions Breast cancer screening by supplemental US among women with dense breasts shows added detection sensitivity compared with M alone. However, US slightly decreased the diagnostic specificity for breast cancer. The cost-effectiveness of supplemental US in detecting malignancy in dense breasts should be considered additionally.
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Screening Breast Ultrasound: Update After 10 Years of Breast Density Notification Laws. AJR Am J Roentgenol 2020; 214:1424-1435. [DOI: 10.2214/ajr.19.22275] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Kim Y, Rim J, Kim SM, Yun BL, Park SY, Ahn HS, Kim B, Jang M. False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients. Ultrasonography 2020; 40:83-92. [PMID: 32422696 PMCID: PMC7758101 DOI: 10.14366/usg.19076] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 03/24/2020] [Indexed: 01/19/2023] Open
Abstract
Purpose The purpose of this study was to measure the cancer detection rate of computer-aided detection (CAD) software in preoperative automated breast ultrasonography (ABUS) of breast cancer patients and to determine the characteristics associated with false-negative outcomes. Methods A total of 129 index lesions (median size, 1.7 cm; interquartile range, 1.2 to 2.4 cm) from 129 consecutive patients (mean age±standard deviation, 53.4±11.8 years) who underwent preoperative ABUS from December 2017 to February 2018 were assessed. An index lesion was defined as a breast cancer confirmed by ultrasonography (US)-guided core needle biopsy. The detection rate of the index lesions, positive predictive value (PPV), and false-positive rate (FPR) of the CAD software were measured. Subgroup analysis was performed to identify clinical and US findings associated with false-negative outcomes. Results The detection rate of the CAD software was 0.84 (109 of 129; 95% confidence interval, 0.77 to 0.90). The PPV and FPR were 0.41 (221 of 544; 95% CI, 0.36 to 0.45) and 0.45 (174 of 387; 95% CI, 0.40 to 0.50), respectively. False-negative outcomes were more frequent in asymptomatic patients (P<0.001) and were associated with the following US findings: smaller size (P=0.001), depth in the posterior third (P=0.002), angular or indistinct margin (P<0.001), and absence of architectural distortion (P<0.001). Conclusion The CAD software showed a promising detection rate of breast cancer. However, radiologists should judge whether CAD software-marked lesions are true- or false-positive lesions, considering its low PPV and high FPR. Moreover, it would be helpful for radiologists to consider the characteristics associated with false-negative outcomes when reading ABUS with CAD.
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Affiliation(s)
- Youngjune Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.,Aerospace Medical Group, Air Force Education and Training Command, Jinju, Korea
| | - Jiwon Rim
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Sun Mi Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Bo La Yun
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - So Yeon Park
- Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Hye Shin Ahn
- Department of Radiology, Chung-Ang University Hospital,ChungAng University College of Medicine, Seoul, Korea
| | - Bohyoung Kim
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea
| | - Mijung Jang
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
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Kim SY, Cho N, Kim SY, Choi Y, Kim ES, Ha SM, Lee SH, Chang JM, Moon WK. Supplemental Breast US Screening in Women with a Personal History of Breast Cancer: A Matched Cohort Study. Radiology 2020; 295:54-63. [PMID: 32096704 DOI: 10.1148/radiol.2020191691] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background There is limited research on supplemental screening breast US in women with a personal history of breast cancer (PHBC). Purpose To compare the performance of supplemental screening breast US in women with and women without a PHBC by using a matched cohort. Materials and Methods Consecutive asymptomatic women who underwent radiologist-performed supplemental breast US and mammography between January 2013 and December 2013 at a tertiary referral university hospital were retrospectively identified. Inclusion criteria were negative or benign findings at mammography, follow-up data for at least 1 year, first cancer stage of 0 to II in women with a PHBC, and incidence screening in women without a PHBC. The two groups were matched 1:1 according to age and breast density. Performance measures were compared with McNemar test, generalized estimating equation, or penalized likelihood logistic regression. Results A total of 3226 women with a PHBC were matched with 3226 women without a PHBC (mean age ± standard deviation, 52 years ± 9; mammographic breast density, fatty in 603 and dense in 2623). Fourteen cancers (six screen-detected, eight interval cancers) were found in women with a PHBC and 13 cancers (12 screen-detected, one interval cancer) in women without a PHBC. Supplemental US in women with a PHBC compared with women without a PHBC showed lower sensitivity (43% [95% confidence interval {CI}: 18%, 71%; six of 14 cancers] vs 92% [95% CI: 64%, 100%; 12 of 13 cancers]; P = .03), higher interval cancer rates (2.5 [95% CI: 1.1, 4.9; eight of 3226 women] vs 0.3 [95% CI: 0, 1.7; one of 3226 women] per 1000; P = .02), and higher specificity (92.8% [95% CI: 91.9%, 93.7%; 2982 of 3212 women] vs 89.3% [95% CI: 88.2%, 90.4%; 2870 of 3213 women]; P < .001), respectively. Conclusion Supplemental US screening in women with a personal history of breast cancer had lower sensitivity and higher interval cancer rate but higher specificity relative to women without a personal history of breast cancer. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Lee and Lee in this issue.
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Affiliation(s)
- Soo-Yeon Kim
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Nariya Cho
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Soo Yeon Kim
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Yunhee Choi
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Eun Sil Kim
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Su Min Ha
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Su Hyun Lee
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Jung Min Chang
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
| | - Woo Kyung Moon
- From the Department of Radiology (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.) and Medical Research Collaborating Center (Y.C.), Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (Soo-Yeon Kim, N.C., Soo Yeon Kim, E.S.K., S.M.H., S.H.L., J.M.C., W.K.M.)
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Update on Breast Density, Risk Estimation, and Supplemental Screening. AJR Am J Roentgenol 2020; 214:296-305. [DOI: 10.2214/ajr.19.21994] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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28
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Dense Breast Ultrasound Screening After Digital Mammography Versus After Digital Breast Tomosynthesis. AJR Am J Roentgenol 2019; 213:1397-1402. [DOI: 10.2214/ajr.18.20748] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Ghaderi KF, Phillips J, Perry H, Lotfi P, Mehta TS. Contrast-enhanced Mammography: Current Applications and Future Directions. Radiographics 2019; 39:1907-1920. [DOI: 10.1148/rg.2019190079] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Kimeya F. Ghaderi
- From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215 (K.F.G., J.P., P.L., T.S.M.); and Department of Radiology, University of Vermont Medical Center, Burlington, Vt (H.P.)
| | - Jordana Phillips
- From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215 (K.F.G., J.P., P.L., T.S.M.); and Department of Radiology, University of Vermont Medical Center, Burlington, Vt (H.P.)
| | - Hannah Perry
- From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215 (K.F.G., J.P., P.L., T.S.M.); and Department of Radiology, University of Vermont Medical Center, Burlington, Vt (H.P.)
| | - Parisa Lotfi
- From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215 (K.F.G., J.P., P.L., T.S.M.); and Department of Radiology, University of Vermont Medical Center, Burlington, Vt (H.P.)
| | - Tejas S. Mehta
- From the Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215 (K.F.G., J.P., P.L., T.S.M.); and Department of Radiology, University of Vermont Medical Center, Burlington, Vt (H.P.)
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Marcon M, Ciritsis A, Rossi C, Becker AS, Berger N, Wurnig MC, Wagner MW, Frauenfelder T, Boss A. Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study. Eur Radiol Exp 2019; 3:44. [PMID: 31676937 PMCID: PMC6825080 DOI: 10.1186/s41747-019-0121-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 08/28/2019] [Indexed: 12/31/2022] Open
Abstract
Background Our aims were to determine if features derived from texture analysis (TA) can distinguish normal, benign, and malignant tissue on automated breast ultrasound (ABUS); to evaluate whether machine learning (ML) applied to TA can categorise ABUS findings; and to compare ML to the analysis of single texture features for lesion classification. Methods This ethically approved retrospective pilot study included 54 women with benign (n = 38) and malignant (n = 32) solid breast lesions who underwent ABUS. After manual region of interest placement along the lesions’ margin as well as the surrounding fat and glandular breast tissue, 47 texture features (TFs) were calculated for each category. Statistical analysis (ANOVA) and a support vector machine (SVM) algorithm were applied to the texture feature to evaluate the accuracy in distinguishing (i) lesions versus normal tissue and (ii) benign versus malignant lesions. Results Skewness and kurtosis were the only TF significantly different among all the four categories (p < 0.000001). In subsets (i) and (ii), a maximum area under the curve of 0.86 (95% confidence interval [CI] 0.82–0.88) for energy and 0.86 (95% CI 0.82–0.89) for entropy were obtained. Using the SVM algorithm, a maximum area under the curve of 0.98 for both subsets was obtained with a maximum accuracy of 94.4% in subset (i) and 90.7% in subset (ii). Conclusions TA in combination with ML might represent a useful diagnostic tool in the evaluation of breast imaging findings in ABUS. Applying ML techniques to TFs might be superior compared to the analysis of single TF. Electronic supplementary material The online version of this article (10.1186/s41747-019-0121-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Magda Marcon
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
| | - Alexander Ciritsis
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Cristina Rossi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Anton S Becker
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Nicole Berger
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Moritz C Wurnig
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Matthias W Wagner
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Andreas Boss
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
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Brown J, Soukas C, Lin JJ, Margolies L, Santiago-Rivas M, Jandorf L. Physician Knowledge, Attitudes, and Practices Regarding Breast Density. J Womens Health (Larchmt) 2019; 28:1193-1199. [PMID: 31063441 PMCID: PMC6743086 DOI: 10.1089/jwh.2018.7429] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Many states have enacted breast density laws, requiring that women be informed of their breast density status; however there is currently no consensus for screening guidelines or recommendations for women with dense breasts. The objective of this study is to access physician views about breast density and their practices for breast cancer screening of women with dense breasts in light of breast density laws. Materials and Methods: Setting: Academic medical centers, community and private practices mostly in New York City. Participants: Primary care providers (PCPs), radiologists and gynecologists. Procedure: We conducted the study through anonymous, self-administered surveys about physician knowledge, attitudes, and practices regarding screening of women with dense breasts. Bivariate and multivariate analyses were performed to assess differences between PCPs and specialists. Results: We received 155 responses of which 75% were female, 77% were attending-level physicians, 42% were PCPs, 28% were radiologists, 17% were gynecologists, and 9% other. Almost half of the respondents (48%) were unaware of breast density laws, and two-thirds (67%) felt they needed more education about breast density and supplemental screening. More than half of the respondents (62%) were unaware of the increased risk of breast cancer related to dense breasts. Compared to specialists, PCPs were less aware of their state's breast density laws (odds ratio [OR] 0.21; 95% confidence interval [CI] 0.09-0.50) and of the increased breast cancer risk for women with dense breasts (OR 0.23; 95% CI 0.09-0.60). Conclusion: Breast density laws have not translated into greater knowledge of breast density and recommendations for supplemental screening among PCPs.
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Affiliation(s)
- Jordonna Brown
- Graduate Program in Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chloe Soukas
- Rutgers New Jersey Medical School, Newark, New Jersey
| | - Jenny J. Lin
- Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Laurie Margolies
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Marimer Santiago-Rivas
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lina Jandorf
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
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The Impact of Breast Density Notification Laws on Supplemental Breast Imaging and Breast Biopsy. J Gen Intern Med 2019; 34:1441-1451. [PMID: 31144277 PMCID: PMC6667574 DOI: 10.1007/s11606-019-05026-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 02/06/2019] [Accepted: 03/26/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Dense breast tissue increases breast cancer risk and lowers mammography sensitivity, but the value of supplemental imaging for dense breasts remains uncertain. Since 2009, 37 states and Washington DC have passed legislation requiring patient notification about breast density. OBJECTIVE Examine the effects of state breast density notification laws on use of supplemental breast imaging and breast biopsies. DESIGN Difference-in-differences analysis of supplemental imaging and biopsies before and after notification laws in 12 states enacting breast density notification laws from 2009 to 2014 and 12 matched control states. Supplemental imaging/biopsy within 6 months following an index mammogram were evaluated during four time periods related to legislation: (1) 6 months before, (2) 0-6 months after, (3) 6-12 months after, and (4) 12-18 months after. PARTICIPANTS Women ages 40-64 years receiving an initial mammogram in a state that passed a breast density notification law or a control state. INTERVENTION Mandatory breast density notification following an index mammogram. MAIN MEASURES Use of breast biopsies and supplemental breast imaging (breast ultrasound, tomosynthesis, magnetic resonance imaging, scintimammography, and thermography), overall and by specific test. KEY RESULTS Supplemental breast imaging and biopsy increased modestly in states with notification laws and changed minimally in control states. Adjusted rates of supplemental imaging and biopsy within 6 months of mammography before legislation were 8.5% and 3.1%, respectively. Compared with pre-legislation in intervention and control states, legislation was associated with adjusted difference-in-differences estimates of + 1.3% (p < 0.0001) and + 0.4% (p < 0.0001) for supplemental imaging and biopsies, respectively, in the 6-12 months after the law and difference-in-differences estimates of + 3.3% (p < 0.0001) and + 0.8% (p < 0.0001) for supplemental imaging and biopsies, respectively, 12-18 months after the law. CONCLUSIONS As breast density notification laws are considered, policymakers and clinicians should expect increases in breast imaging/biopsies. Additional research is needed on these laws' effects on cost and patient outcomes.
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Rebolj M, Blyuss O, Chia KS, Duffy SW. Long-term excess risk of breast cancer after a single breast density measurement. Eur J Cancer 2019; 117:41-47. [PMID: 31229948 PMCID: PMC6658627 DOI: 10.1016/j.ejca.2019.05.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 05/02/2019] [Accepted: 05/03/2019] [Indexed: 12/20/2022]
Abstract
AIM Breast density is a risk factor for breast cancer. As density changes across a woman's life span, we studied for how long a single density measurement taken in (post-)menopausal women remains informative. METHODS We used data from Singaporean women who underwent a single mammography screen at age 50-64 years. For each case with breast cancer diagnosed at screening or in the subsequent 10 years, whether screen detected or diagnosed following symptoms, two age-matched controls were selected. We studied the excess risk of breast cancer, calculated as an odds ratio (OR) with conditional logistic regression and adjusted for body mass index, associated with 26-50% and with 51-100% density compared with ≤25% density by time since screening. RESULTS In total, 490 women had breast cancer, of which 361 were diagnosed because of symptoms after screening. Women with 51-100% breast density had an excess risk of breast cancer that did not seem to attenuate with time. In 1-3 years after screening, the OR was 2.22 (95% confidence interval [CI]: 1.07-4.61); in 4-6 years after screening, the OR was 4.09 (95% CI: 2.21-7.58), and in 7-10 years after screening, the OR was 5.35 (95% CI: 2.57-11.15). Excess risk with a stable OR of about 2 was also observed for women with 26-50% breast density. These patterns were robust when the analyses were limited to post-menopausal women, non-users of hormonal replacement therapy and after stratification by age at density measurement. CONCLUSION A single breast density measurement identifies women with an excess risk of breast cancer during at least the subsequent 10 years.
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Affiliation(s)
- Matejka Rebolj
- Cancer Prevention Group, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London SE1 9RT, UK; Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
| | - Oleg Blyuss
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK; Department of Paediatrics, Sechenov University, Moscow, Russia
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Stephen W Duffy
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
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Miles RC, Lehman C, Warner E, Tuttle A, Saksena M. Patient-Reported Breast Density Awareness and Knowledge after Breast Density Legislation Passage. Acad Radiol 2019; 26:726-731. [PMID: 30122625 DOI: 10.1016/j.acra.2018.07.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 07/14/2018] [Accepted: 07/15/2018] [Indexed: 11/28/2022]
Abstract
RATIONALE AND OBJECTIVES To determine awareness and knowledge of breast density and breast density legislation among women receiving routine mammography following passage of Massachusetts breast density legislation. MATERIALS AND METHODS A survey assessing breast density awareness and knowledge was administered to all women receiving screening mammography over two separate 1-week periods at an academic medical center following implementation of mandatory breast density notification. Survey questions queried sociodemographic factors, breast density knowledge, legislation awareness, and medical decision-making intent. RESULTS Of 1000 survey recipients, 338 (33.8%) returned their survey. Most women were surprised (207/338; 61.2%) to receive their breast density notification letter and unaware (302/338; 89.9%) of newly implemented breast density legislation. The majority (185/338; 54.7%) of survey respondents self-reported having dense breasts. Only 61.1% (113/185) of women with dense breasts reported that their personal breast density increased breast cancer risk, while only 60.0% (78/130) of women with non dense breasts reported that their personal breast density did not increase breast cancer risk. Significant differences between women with dense and nondense breasts were observed related to intention to follow-up with a health practitioner (118/185; 63.8% vs. 66/130; 50.8%, p = 0.03) and views on necessity of supplemental screening based on personal breast density (83/185; 45.1% vs. 20/130; 15.4%, p < 0.01). CONCLUSIONS Despite implementation of state breast density laws since 2009, confusion and misinformation about breast density persists among women receiving mammography screening. Innovative tools that more effectively inform patients, may be required to improve communication and patient understanding about breast density and subsequent breast care management.
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Affiliation(s)
- Randy C Miles
- Massachusetts General Hospital, Department of Radiology, 55 Fruit Street, Boston, MA 02114.
| | - Constance Lehman
- Massachusetts General Hospital, Department of Radiology, 55 Fruit Street, Boston, MA 02114
| | - Erica Warner
- Massachusetts General Hospital, Department of Radiology, 55 Fruit Street, Boston, MA 02114; Harvard University T.H. Chan School of Public Health, Department of Epidemiology, 677 Huntington Ave, Boston, MA 02115
| | - Ashley Tuttle
- Massachusetts General Hospital, Department of Radiology, 55 Fruit Street, Boston, MA 02114
| | - Mansi Saksena
- Massachusetts General Hospital, Department of Radiology, 55 Fruit Street, Boston, MA 02114
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He T, Puppala M, Ezeana CF, Huang YS, Chou PH, Yu X, Chen S, Wang L, Yin Z, Danforth RL, Ensor J, Chang J, Patel T, Wong ST. A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer. JCO Clin Cancer Inform 2019; 3:1-12. [PMID: 31141423 PMCID: PMC10445790 DOI: 10.1200/cci.18.00121] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2019] [Indexed: 08/25/2023] Open
Abstract
PURPOSE The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize mammographic reporting to assess cancer risk and facilitate the decision to biopsy. Because of substantial interobserver variability in the application of the BI-RADS lexicon, the decision to biopsy varies greatly and results in overdiagnosis and excessive biopsies. The false-positive rate from mammograms is estimated to be 7% to approximately 10% overall, but within the BI-RADS 4 category, it is greater than 70%. Therefore, we developed the Breast Cancer Risk Calculator (BRISK) to target a well-characterized and specific patient subgroup (BI-RADS 4) rather than a broad heterogeneous group in assessing breast cancer risk. METHODS BRISK provides a novel precise risk assessment model to reduce overdiagnosis and unnecessary biopsies. It was developed by applying natural language processing and deep learning methods on 5,147 patient records archived in the Houston Methodist systemwide data warehouse from 2006 to May 2015, including imaging and pathology reports, mammographic images, and patient demographics. Key characteristics for BI-RADS 4 patients were collected and computed to output an index measure for biopsy recommendation that is clinically relevant and informative and improves upon the traditional BI-RADS 4 scores. RESULTS For the validation set, we assessed data from 1,247 BI-RADS 4 patients, including mammographic images and medical reports. The BRISK model sensitivity to predict malignancy was 100%, whereas the specificity was 74%. The total accuracy of our implemented model in BRISK was 81%. Overall area under the curve was 0.93. CONCLUSION BRISK for abnormal mammogram uses integrative artificial intelligence technology and has demonstrated high sensitivity in the prediction of malignancy. Prospective evaluation is under way and can lead to improvement in patient-physician engagement in making informed decisions with regard to biopsy.
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Affiliation(s)
| | | | | | - Yan-siang Huang
- Houston Methodist, Houston, TX
- Far-Eastern Memorial Hospital, Taiwan,
Republic of China
| | - Ping-hsuan Chou
- Houston Methodist, Houston, TX
- Far-Eastern Memorial Hospital, Taiwan,
Republic of China
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Koh J, Kim EK, Kim MJ, Yoon JH, Park VY, Moon HJ. Role of elastography for downgrading BI-RADS category 4a breast lesions according to risk factors. Acta Radiol 2019; 60:278-285. [PMID: 29890844 DOI: 10.1177/0284185118780901] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Elastography has been introduced as an additional diagnostic tool to ultrasonography (US) which helps clinicians decide whether or not to perform biopsy on US-detected lesions. PURPOSE To evaluate the role of strain elastography in downgrading Breast Imaging Reporting and Data System (BI-RADS) category 4a breast lesions according to personal risk factors for breast cancer in asymptomatic women. MATERIAL AND METHODS Strain elastography features of a total of 255 asymptomatic category 4a lesions were classified as soft and not soft (intermediate and hard). Malignancy was confirmed by surgery or biopsy, and benignity was confirmed by surgery or biopsy with no change on US for at least six months. Malignancy rates of lesions with soft and not soft elastography were calculated according to the presence of risk factors. RESULTS Of 255 lesions, 25 (9.8%) were malignant and 230 (90.2%) were benign. Of 195 lesions in average-risk women, the malignancy rate of lesions with soft elastography was 1.5% (1/68), which was significantly lower than the 14.2% (18/127) of lesions with not soft elastography ( P = 0.004). Of 60 lesions in increased-risk women, the malignancy rate of lesions with soft elastography was 15.0% (3/20), which was not significantly different from the 7.5% (3/40) of lesions with not soft elastography ( P = 0.390). CONCLUSION In average-risk women, category 4a lesions with soft elastography could be followed up with US because of a low malignancy rate of 1.5%.
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Affiliation(s)
- Jieun Koh
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
- Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Eun-Kyung Kim
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Min Jung Kim
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Jung Hyun Yoon
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Vivian Youngjean Park
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Hee Jung Moon
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Republic of Korea
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Pu H, Zhang XL, Xiang LH, Zhang JL, Xu G, Liu H, Tang GY, Zhao BH, Wu R. The efficacy of added shear wave elastography (SWE) in breast screening for women with inconsistent mammography and conventional ultrasounds (US). Clin Hemorheol Microcirc 2019; 71:83-94. [PMID: 29843228 DOI: 10.3233/ch-180398] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Huan Pu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xue-Li Zhang
- Department of Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Li-Hua Xiang
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Jiu-Long Zhang
- Department of Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Guang Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui Liu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Guang-Yu Tang
- Department of Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Bing-Hui Zhao
- Department of Radiology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Rong Wu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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Ram S, Sarma N, López JE, Liu Y, Li CS, Aminololama-Shakeri S. Impact of the California Breast Density Law on Screening Breast MR Utilization, Provider Ordering Practices, and Patient Demographics. J Am Coll Radiol 2019; 15:594-600. [PMID: 29622173 DOI: 10.1016/j.jacr.2017.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2017] [Revised: 11/27/2017] [Accepted: 12/01/2017] [Indexed: 12/20/2022]
Abstract
PURPOSE To assess the impact of California's Breast Density Law (BDL) on MRI utilization and clinician ordering practices. MATERIALS AND METHODS Our institutional review board approved this study that retrospectively compared the ordering pattern for screening breast MRI examinations in the 30-month period before and after the BDL was enacted. Examinations were subcategorized into those with breast density mentioned as an examination indication. Patients were classified into (1) high risk; (2) above average risk, defined but not quantified; and (3) undefined or average risk. χ2 test or Fisher's exact test was used to compare MRI utilization, use of breast density as an indication, patient demographics, and provider characteristics. RESULTS Screening MRI examinations with breast density as the indication increased from 8.5% (32 of 376) to 21.1% (136 of 646, P < .0001) after BDL. When high-risk patients were excluded, the increase was from 8% to 17.2% (P < .0001). Patient demographics before and after BDL were, by race: white 71.8% versus 71.2%; Asian 6.4% versus 10.5%; black 3.7% versus 3.1%; American Indian 0.3% versus 1.4%; Native Hawaiian or Pacific Islander 1.6% versus 1.7%; by ethnicity: Hispanic or Latino 10.6% versus 7.9%. Before and after BDL, predominantly female providers (81.4% and 77.4%, P = not significant [NS]) and specialists (62.5% and 63.5%, P = NS) ordered the majority of breast MRI examinations compared with males (18.6% and 22.6%, P = NS). CONCLUSION Screening breast MRI utilization for non-high-risk women more than doubled after the California BDL went into effect. BDL has had an impact on MRI utilization, and its clinical value for changing outcomes deserves further study.
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Affiliation(s)
- Shruthi Ram
- Department of Radiology, University of California Davis Medical Center, Sacramento, California
| | - Nandini Sarma
- University of California Davis School of Medicine, Sacramento, California
| | - Javier E López
- Internal Medicine Department, Cardiovascular Division, University of California Davis Medical Center, Davis, California
| | - Yu Liu
- Department of Statistics, University of California, Davis, California
| | - Chin-Shang Li
- Department of Public Health Sciences, Division of Biostatistics, University of California, Davis, California
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Moon HJ, Kim EK, Kim MJ, Yoon JH, Park VY. Comparison of Clinical and Pathologic Characteristics of Ductal Carcinoma in Situ Detected on Mammography versus Ultrasound Only in Asymptomatic Patients. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:68-77. [PMID: 30322671 DOI: 10.1016/j.ultrasmedbio.2018.09.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/28/2018] [Accepted: 09/03/2018] [Indexed: 05/04/2023]
Abstract
The main purpose of this study was to retropectively compare the clinical and pathologic characteristics of ductal carcinoma in situ (DCIS) detected on mammography and ultrasound (US) in asymptomatic patients. From February 2014 to September 2016, 236 asymptomatic patients with primary pure DCIS and dense breasts were included. The patients were classified into two groups. The mammography group (n = 165) included patients with DCIS detected on mammography, and the US group (n = 71) included patients with DCIS detected on US only. Clinicopathologic characteristics were compared between the two groups. Subgroup analyses were performed with a cutoff age of 50 y and a cutoff tumor size of 20 mm. In 236 patients, younger age, smaller tumor size, low nuclear grade, no comedo necrosis and progesterone receptor positivity were observed more in the US group (p < 0.05). HER2 and Ki67 positivity was observed more frequently in the mammography group (p < 0.05). Similar results were obtained in 168 patients with DCIS <20 mm and in patients ≥50 y. In patients <50 y, smaller tumor size, low nuclear grade and no comedo necrosis were observed significantly more often in the US group. DCIS in the US group significantly more often manifested low nuclear grade, no comedo necrosis and hormone receptor positivity, whereas HER2 and Ki67 positivity was observed significantly more often in the mammography group.
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Affiliation(s)
- Hee Jung Moon
- Department of Radiology, Research Institute of Radiologic Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
| | - Eun-Kyung Kim
- Department of Radiology, Research Institute of Radiologic Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Min Jung Kim
- Department of Radiology, Research Institute of Radiologic Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jung Hyun Yoon
- Department of Radiology, Research Institute of Radiologic Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Vivian Youngjean Park
- Department of Radiology, Research Institute of Radiologic Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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Manning M, Albrecht TL, O'Neill S, Purrington K. Between-Race Differences in Supplemental Breast Cancer Screening Before and After Breast Density Notification Law. J Am Coll Radiol 2018; 16:797-803. [PMID: 30342908 DOI: 10.1016/j.jacr.2018.08.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 08/17/2018] [Accepted: 08/18/2018] [Indexed: 12/17/2022]
Abstract
Guidelines recommend supplemental breast cancer screening for women at increased breast cancer risk; however, the passage of breast density notification laws may lead to supplemental screening that is incongruent with women's risk. We examined supplemental screening (ie, MRI, ultrasound, or tomosynthesis within 6 months of screening mammogram) among a sample of 2,764 African American (AA) and 691 European American (EA) women with negative or benign screening mammograms for whom we had data from both before and after implementation of breast density notification laws in the state of Michigan. Results indicated a 5-fold increase (from 0.14% to 0.7% of women) in supplemental screening among screen-negative women after passage of the law, driven in large part by an increase in supplemental screening among AA women. Breast density was more predictive of supplemental screening and had a marginally greater explanatory role in between-race differences in supplemental screening after passage of the law. Subgroup analyses (n = 250) indicated that whereas 5-year breast cancer risk was positively associated with supplemental screening before the law and negatively associated after the law for EA women, 5-year risk was not associated with supplemental screening either before or after passage of the law for AA women. Our findings suggest that whereas passage of the breast density notification laws may have motivated supplemental screening among AA women in particular, it lessened the consideration of breast cancer risk in supplemental screening decision making.
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Affiliation(s)
- Mark Manning
- Karmanos Cancer Institutes; Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan.
| | - Terrance L Albrecht
- Karmanos Cancer Institutes; Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
| | - Suzanne O'Neill
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Kristen Purrington
- Karmanos Cancer Institutes; Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
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Moon HJ, Kim MJ, Yoon JH, Kim EK. Follow-up interval for probably benign breast lesions on screening ultrasound in women at average risk for breast cancer with dense breasts. Acta Radiol 2018; 59:1045-1050. [PMID: 29231050 DOI: 10.1177/0284185117745906] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Women at high risk for breast cancer and women at average risk have different pretest probabilities. Probably benign lesions on screening ultrasound (US) should be assessed and managed differently for these two risk groups. Purpose To evaluate the effectiveness of short-term follow-up for probably benign lesions on screening US in women at average risk for breast cancer with dense breasts. Material and Methods A total of 445 women at average risk for breast cancer with probably benign lesions on screening US, dense breasts, and negative or benign mammography results were included. Women were classified into the six-month group (n = 345) or 12-month group (n = 100) according to when the first follow-up was performed (3-9 months or 9-15 months). The cancer detection rate, frequencies of newly developed lesions and progressed lesions, and biopsy rate were compared. Results There were no malignancies from three to 15 months. Three cancers newly developed after 15 months. One was a 3-mm ductal carcinoma in situ and two were 10-mm and 18-mm invasive ductal carcinoma without lymph node metastasis. The frequency of newly developed lesions and progressed lesions and biopsy rate were not significantly different between the six-month and 12-month groups ( P = 0.320, 0.621, and >0.999). Conclusion A follow-up at 12 months can be considered for probably benign lesions on screening US in women at average risk for breast cancer with dense breasts. However, a large series prospective study is needed before clinical application.
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Affiliation(s)
- Hee Jung Moon
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Min Jung Kim
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Jung Hyun Yoon
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University, College of Medicine, Seoul, Republic of Korea
| | - Eun-Kyung Kim
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science Yonsei University, College of Medicine, Seoul, Republic of Korea
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Amornsiripanitch N, Lam DL, Rahbar H. Advances in Breast MRI in the Setting of Ductal Carcinoma In Situ. Semin Roentgenol 2018; 53:261-269. [PMID: 30449344 DOI: 10.1053/j.ro.2018.08.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Diana L Lam
- University of Washington, Seattle Cancer Care Alliance, Seattle, WA.
| | - Habib Rahbar
- University of Washington, Seattle Cancer Care Alliance, Seattle, WA.
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Margolies LR, Salvatore M, Yip R, Tam K, Bertolini A, Henschke C, Yankelevitz D. The chest radiologist's role in invasive breast cancer detection. Clin Imaging 2018; 50:13-19. [DOI: 10.1016/j.clinimag.2017.12.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 10/25/2017] [Accepted: 12/05/2017] [Indexed: 11/12/2022]
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Rebolj M, Assi V, Brentnall A, Parmar D, Duffy SW. Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis. Br J Cancer 2018; 118:1559-1570. [PMID: 29736009 PMCID: PMC6008336 DOI: 10.1038/s41416-018-0080-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 03/07/2018] [Accepted: 03/19/2018] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Mammography is less effective in detecting cancer in dense than in fatty breasts. METHODS We undertook a systematic search in PubMed to identify studies on women with dense breasts who underwent screening with mammography supplemented with ultrasound. A meta-analysis was undertaken on the proportion of cancers detected only by ultrasound, out of all screen-detected cancers, and the proportion of women with negative mammography who were referred for assessment following ultrasound screening. RESULTS Twenty-nine studies satisfied our inclusion criteria. The proportion of total cancers detected only by ultrasound was 0.29 (95% CI: 0.27-0.31), consistent with an approximately 40% increase in the detection of cancers compared to mammography. In the studied populations, this translated into an additional 3.8 (95% CI: 3.4-4.2) screen-detected cases per 1000 mammography-negative women. About 13% (32/248) of cancers were in situ from 17 studies with information on this subgroup. Ultrasound approximately doubled the referral for assessment in three studies with these data. CONCLUSIONS Studies have consistently shown an increased detection of breast cancer by supplementary ultrasound screening. An inclusion of supplementary ultrasound into routine screening will need to consider the availability of ultrasound and diagnostic assessment capacities.
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Affiliation(s)
- Matejka Rebolj
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Valentina Assi
- Edinburgh Clinical Trials Unit, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Adam Brentnall
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Dharmishta Parmar
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Stephen W Duffy
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts & The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
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Interpretation Time Using a Concurrent-Read Computer-Aided Detection System for Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breast Tissue. AJR Am J Roentgenol 2018; 211:452-461. [PMID: 29792747 DOI: 10.2214/ajr.18.19516] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study was to compare diagnostic accuracy and interpretation time of screening automated breast ultrasound (ABUS) for women with dense breast tissue without and with use of a recently U.S. Food and Drug Administration-approved computer-aided detection (CAD) system for concurrent read. MATERIALS AND METHODS In a retrospective observer performance study, 18 radiologists interpreted a cancer-enriched set (i.e., cancer prevalence higher than in the original screening cohort) of 185 screening ABUS studies (52 with and 133 without breast cancer). These studies were from a large cohort of ABUS-screened patients interpreted as BI-RADS density C or D. Each reader interpreted each case twice in a counterbalanced study, once without the CAD system and once with it, separated by 4 weeks. For each case, each reader identified abnormal findings and reported BI-RADS assessment category and level of suspicion for breast cancer. Interpretation time was recorded. Level of suspicion data were compared to evaluate diagnostic accuracy by means of the Dorfman-Berbaum-Metz method of jackknife with ANOVA ROC analysis. Interpretation times were compared by ANOVA. RESULTS The ROC AUC was 0.848 with the CAD system, compared with 0.828 without it, for a difference of 0.020 (95% CI, -0.011 to 0.051) and was statistically noninferior to the AUC without the CAD system with respect to a margin of -0.05 (p = 0.000086). The mean interpretation time was 3 minutes 33 seconds per case without the CAD system and 2 minutes 24 seconds with it, for a difference of 1 minute 9 seconds saved (95% CI, 44-93 seconds; p = 0.000014), or a reduction in interpretation time to 67% of the time without the CAD system. CONCLUSION Use of the concurrent-read CAD system for interpretation of screening ABUS studies of women with dense breast tissue who do not have symptoms is expected to make interpretation significantly faster and produce noninferior diagnostic accuracy compared with interpretation without the CAD system.
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van Zelst JCM, Mann RM. Automated Three-dimensional Breast US for Screening: Technique, Artifacts, and Lesion Characterization. Radiographics 2018; 38:663-683. [DOI: 10.1148/rg.2018170162] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jan C. M. van Zelst
- From the Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Internal Address 766, Geert Grooteplein Zuid 10, PO Box 9101, 6500HB Nijmegen, the Netherlands
| | - Ritse M. Mann
- From the Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Internal Address 766, Geert Grooteplein Zuid 10, PO Box 9101, 6500HB Nijmegen, the Netherlands
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Combined screening with mammography and ultrasound in a population-based screening program. Eur J Radiol 2018; 101:24-29. [DOI: 10.1016/j.ejrad.2018.01.022] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/20/2018] [Accepted: 01/22/2018] [Indexed: 11/20/2022]
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Thigpen D, Kappler A, Brem R. The Role of Ultrasound in Screening Dense Breasts-A Review of the Literature and Practical Solutions for Implementation. Diagnostics (Basel) 2018; 8:E20. [PMID: 29547532 PMCID: PMC5872003 DOI: 10.3390/diagnostics8010020] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 03/09/2018] [Accepted: 03/13/2018] [Indexed: 01/21/2023] Open
Abstract
Breast cancer is the second leading cause of cancer death in women. Estimates indicate a nearly 40% breast cancer mortality reduction when screening women annually starting at age 40. Although mammography is well known to be a powerful screening tool in the detection of early breast cancer, it is imperfect, particularly for women with dense breasts. In women with dense breast tissue, the sensitivity of mammography is reduced. Additionally, women with dense breasts have an increased risk of developing breast cancer while mammography has a lower sensitivity. Screening ultrasound, both handheld and automated, is effective in detecting mammographically occult cancer in women with dense tissue. Studies have shown that ultrasound significantly increases detection of clinically important, small, largely invasive, node-negative cancers. The purpose of this review article is to summarize the literature to date regarding screening breast ultrasound, emphasizing differences in cancer detection in high risk and intermediate risk women, and to discuss practical ways to implement screening ultrasound in clinical practice, including automated whole breast ultrasound, as a viable solution to the increasing need for additional screening.
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Affiliation(s)
- Denise Thigpen
- Department of Radiology, The George Washington University, Washington, DC 20037, USA.
| | - Amanda Kappler
- Department of Radiology, The George Washington University, Washington, DC 20037, USA.
| | - Rachel Brem
- Department of Radiology, The George Washington University, Washington, DC 20037, USA.
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Lee SH, Yi A, Jang MJ, Chang JM, Cho N, Moon WK. Supplemental Screening Breast US in Women with Negative Mammographic Findings: Effect of Routine Axillary Scanning. Radiology 2018; 286:830-837. [DOI: 10.1148/radiol.2017171218] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Su Hyun Lee
- From the Department of Radiology (S.H.L., J.M.C., N.C., W.K.M.) and Medical Research Collaborating Center (M.J.J.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; and Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea (A.Y.)
| | - Ann Yi
- From the Department of Radiology (S.H.L., J.M.C., N.C., W.K.M.) and Medical Research Collaborating Center (M.J.J.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; and Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea (A.Y.)
| | - Myoung-jin Jang
- From the Department of Radiology (S.H.L., J.M.C., N.C., W.K.M.) and Medical Research Collaborating Center (M.J.J.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; and Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea (A.Y.)
| | - Jung Min Chang
- From the Department of Radiology (S.H.L., J.M.C., N.C., W.K.M.) and Medical Research Collaborating Center (M.J.J.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; and Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea (A.Y.)
| | - Nariya Cho
- From the Department of Radiology (S.H.L., J.M.C., N.C., W.K.M.) and Medical Research Collaborating Center (M.J.J.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; and Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea (A.Y.)
| | - Woo Kyung Moon
- From the Department of Radiology (S.H.L., J.M.C., N.C., W.K.M.) and Medical Research Collaborating Center (M.J.J.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; and Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea (A.Y.)
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Shimauchi A, Machida Y, Maeda I, Fukuma E, Hoshi K, Tozaki M. Breast MRI as a Problem-solving Study in the Evaluation of BI-RADS Categories 3 and 4 Microcalcifications: Is it Worth Performing? Acad Radiol 2018; 25:288-296. [PMID: 29191685 DOI: 10.1016/j.acra.2017.10.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 09/20/2017] [Accepted: 10/16/2017] [Indexed: 11/30/2022]
Abstract
RATIONALE AND OBJECTIVES We aimed to investigate the utility of problem-solving breast magnetic resonance imaging (MRI) for mammographic Breast Imaging Reporting and Data System (BI-RADS) categories 3 and 4 microcalcifications. MATERIALS AND METHODS Between January 1, 2010 and December 31, 2011, 138 women with 146 areas of categories 3 and 4 microcalcifications without sonographic correlates underwent breast MRI and had a stereotactic core biopsy using an 11-gauge needle or follow-up at least for 24 months. Positive predictive value (PPV), negative predictive value, sensitivity, and specificity were calculated on the basis of BI-RADS category, with categories 1-3 being considered benign and categories 4 and 5 being considered malignant. RESULTS Twenty-four cases (16.4%) were malignant (18 ductal carcinoma in situ, 6 invasive). MRI increased PPV and specificity from 43% to 68% and from 80% to 93% (P = .054 and .005) compared to mammography. Within 102 category 3 microcalcifications, 5 carcinomas were assessed correctly as category 4 by MRI. Within 44 category 4 microcalcifications, a correct diagnosis was made by MRI in 77% (34 of 44) as opposed to 43% (19 of 44) by mammography, and 80% (20 of 25) of unnecessary biopsies could have been avoided. Within the 24 carcinomas, 5 were negative at MRI. MRI-negative carcinomas have a significantly higher possibility of being low grade (ductal carcinoma in situ or invasive) (P = .0362). CONCLUSIONS Breast MRI has the potential to improve the diagnosis of category 3 or 4 microcalcifications and could alter indications for biopsy. Breast MRI could help predict the presence or absence of higher-grade carcinoma for category 3 or 4 microcalcifications.
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Affiliation(s)
- Akiko Shimauchi
- Department of Radiology, Kameda Kyobashi Clinic, 3-1-1, Kyobashi, Chuo-ku, Tokyo, Japan.
| | - Youichi Machida
- Department of Radiology, Kameda Kyobashi Clinic, 3-1-1, Kyobashi, Chuo-ku, Tokyo, Japan
| | - Ichiro Maeda
- Department of Pathology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Eisuke Fukuma
- Division of Breast Surgery, Breast Center, Kameda Medical Center, Kamogawa, Chiba, Japan
| | - Kazuei Hoshi
- Department of Pathology, Kameda Medical Center, Kamogawa, Chiba, Japan
| | - Mitsuhiro Tozaki
- Department of Radiology, Sagara Hospital Affiliated Breast Center, Tenokuchi-cho, Kagoshima, Japan
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