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Foongkajornkiat S, Sokolowski K, Stephenson J, Lloyd T, Hugo HJ, Thompson EW, Momot KI. Quantitative measurement of mammographic density in breast-tissue explants using portable NMR: Precision and accuracy. Magn Reson Med 2024; 92:374-388. [PMID: 38380719 DOI: 10.1002/mrm.30040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/20/2023] [Accepted: 01/18/2024] [Indexed: 02/22/2024]
Abstract
PURPOSE Single-sided portable NMR (pNMR) has previously been demonstrated to be suitable for quantification of mammographic density (MD) in excised breast tissue samples. Here we investigate the precision and accuracy of pNMR measurements of MD ex vivo as compared with the gold standards. METHODS Forty-five breast-tissue explants from 9 prophylactic mastectomy patients were measured. The relative tissue water content was taken as the MD-equivalent quantity. In each sample, the water content was measured using some combination of three pNMR techniques (apparent T2, diffusion, and T1 measurements) and two gold-standard techniques (computed microtomography [μCT] and hematoxylin and eosin [H&E] histology). Pairwise correlation plots and Bland-Altman analysis were used to quantify the degree of agreement between pNMR techniques and the gold standards. RESULTS Relative water content measured from both apparent T2 relaxation spectra, and diffusion decays exhibited strong correlation with the H&E and μCT results. Bland-Altman analysis yielded average bias values of -0.4, -2.6, 2.6, and 2.8 water percentage points (pp) and 95% confidence intervals of 13.1, 7.5, 11.2, and 11.8 pp for the H&E - T2, μCT - T2, H&E - diffusion, and μCT - diffusion comparison pairs, respectively. T1-based measurements were found to be less reliable, with the Bland-Altman confidence intervals of 27.7 and 33.0 pp when compared with H&E and μCT, respectively. CONCLUSION Apparent T2-based and diffusion-based pNMR measurements enable quantification of MD in breast-tissue explants with the precision of approximately 10 pp and accuracy of approximately 3 pp or better, making pNMR a promising measurement modality for radiation-free quantification of MD.
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Affiliation(s)
- Satcha Foongkajornkiat
- School of Chemistry and Physics, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Kamil Sokolowski
- Preclincal Imaging Facility, Translational Research Institute, Woolloongabba, Queensland, Australia
| | - James Stephenson
- Department of Breast and Endocrine Surgery, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Translational Research Institute, Woolloongabba, Queensland, Australia
| | - Thomas Lloyd
- Department of Diagnostic Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Honor J Hugo
- School of Health and Behavioural Science, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- School of Medicine and Dentistry, Griffith University Sunshine Coast, Birtinya, Queensland, Australia
| | - Erik W Thompson
- Translational Research Institute, Woolloongabba, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Konstantin I Momot
- School of Chemistry and Physics, Queensland University of Technology, Brisbane, Queensland, Australia
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Wunderle M, Heindl F, Behrens AS, Häberle L, Hack CC, Heusinger K, Huebner H, Gass P, Ruebner M, Schulz-Wendtland R, Erber R, Hartmann A, Beckmann MW, Dougall WC, Press MF, Fasching PA, Emons J. Correlation of RANK and RANKL with mammographic density in primary breast cancer patients. Arch Gynecol Obstet 2024:10.1007/s00404-024-07495-1. [PMID: 38836929 DOI: 10.1007/s00404-024-07495-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/24/2024] [Indexed: 06/06/2024]
Abstract
PURPOSE The receptor activator of nuclear factor kappa B (RANK) and its ligand (RANKL) have been shown to promote proliferation of the breast and breast carcinogenesis. The objective of this analysis was to investigate whether tumor-specific RANK and RANKL expression in patients with primary breast cancer is associated with high percentage mammographic density (PMD), which is a known breast cancer risk factor. METHODS Immunohistochemical staining of RANK and RANKL was performed in tissue microarrays (TMAs) from primary breast cancer samples of the Bavarian Breast Cancer Cases and Controls (BBCC) study. For RANK and RANKL expression, histochemical scores (H scores) with a cut-off value of > 0 vs 0 were established. PMD was measured in the contralateral, non-diseased breast. Linear regression models with PMD as outcome were calculated using common predictors of PMD (age at breast cancer diagnosis, body mass index (BMI) and parity) and RANK and RANKL H scores. Additionally, Spearman rank correlations (ρ) between PMD and RANK and RANKL H score were performed. RESULTS In the final cohort of 412 patients, breast cancer-specific RANK and RANKL expression was not associated with PMD (P = 0.68). There was no correlation between PMD and RANK H score (Spearman's ρ = 0.01, P = 0.87) or RANKL H score (Spearman's ρ = 0.04, P = 0.41). RANK expression was highest in triple-negative tumors, followed by HER2-positive, luminal B-like and luminal A-like tumors, while no subtype-specific expression of RANKL was found. CONCLUSION Results do not provide evidence for an association of RANK and RANKL expression in primary breast cancer with PMD.
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Affiliation(s)
- Marius Wunderle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Felix Heindl
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Annika S Behrens
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Lothar Häberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
- Biostatistics Unit, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Carolin C Hack
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Katharina Heusinger
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Hanna Huebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Paul Gass
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - Rüdiger Schulz-Wendtland
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
- Institute of Diagnostic Radiology, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Ramona Erber
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
- Institute of Pathology, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Arndt Hartmann
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
- Institute of Pathology, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
| | - William C Dougall
- Immunology in Cancer and Infection Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, 4702, Australia
- Hematology and Oncology Research, Amgen, Inc, Seattle, WA, 98119, USA
| | - Michael F Press
- Department of Pathology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany.
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany.
| | - Julius Emons
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Erlangen University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Bavarian Cancer Research Center (BZKF), Erlangen, Germany
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3
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Behrens A, Fasching PA, Schwenke E, Gass P, Häberle L, Heindl F, Heusinger K, Lotz L, Lubrich H, Preuß C, Schneider MO, Schulz-Wendtland R, Stumpfe FM, Uder M, Wunderle M, Zahn AL, Hack CC, Beckmann MW, Emons J. Predicting mammographic density with linear ultrasound transducers. Eur J Med Res 2023; 28:384. [PMID: 37770952 PMCID: PMC10537934 DOI: 10.1186/s40001-023-01327-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/28/2023] [Indexed: 09/30/2023] Open
Abstract
BACKGROUND High mammographic density (MD) is a risk factor for the development of breast cancer (BC). Changes in MD are influenced by multiple factors such as age, BMI, number of full-term pregnancies and lactating periods. To learn more about MD, it is important to establish non-radiation-based, alternative examination methods to mammography such as ultrasound assessments. METHODS We analyzed data from 168 patients who underwent standard-of-care mammography and performed additional ultrasound assessment of the breast using a high-frequency (12 MHz) linear probe of the VOLUSON® 730 Expert system (GE Medical Systems Kretztechnik GmbH & Co OHG, Austria). Gray level bins were calculated from ultrasound images to characterize mammographic density. Percentage mammographic density (PMD) was predicted by gray level bins using various regression models. RESULTS Gray level bins and PMD correlated to a certain extent. Spearman's ρ ranged from - 0.18 to 0.32. The random forest model turned out to be the most accurate prediction model (cross-validated R2, 0.255). Overall, ultrasound images from the VOLUSON® 730 Expert device in this study showed limited predictive power for PMD when correlated with the corresponding mammograms. CONCLUSIONS In our present work, no reliable prediction of PMD using ultrasound imaging could be observed. As previous studies showed a reasonable correlation, predictive power seems to be highly dependent on the device used. Identifying feasible non-radiation imaging methods of the breast and their predictive power remains an important topic and warrants further evaluation. Trial registration 325-19 B (Ethics Committee of the medical faculty at Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany).
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Affiliation(s)
- Annika Behrens
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany.
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Eva Schwenke
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Paul Gass
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Lothar Häberle
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
- Biostatistics Unit, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Felix Heindl
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Katharina Heusinger
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Laura Lotz
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Hannah Lubrich
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Caroline Preuß
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Michael O Schneider
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Rüdiger Schulz-Wendtland
- Department of Radiology, Erlangen University Hospital, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Florian M Stumpfe
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Michael Uder
- Department of Radiology, Erlangen University Hospital, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Marius Wunderle
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Anna L Zahn
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Carolin C Hack
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
| | - Julius Emons
- Department of Gynecology and Obstetrics, Erlangen University Hospital, University Breast Center for Franconia, Comprehensive Cancer Center European Metropolitan Area Nuremberg (CCC ER-EMN), Friedrich-Alexander University Erlangen-Nuremberg, Universitätsstrasse 21-23, 91054, Erlangen, Germany
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Fehm TN, Welslau M, Müller V, Lüftner D, Schütz F, Fasching PA, Janni W, Thomssen C, Witzel I, Belleville E, Untch M, Thill M, Tesch H, Ditsch N, Lux MP, Aktas B, Banys-Paluchowski M, Schneeweiss A, Kolberg-Liedtke C, Hartkopf AD, Wöckel A, Kolberg HC, Harbeck N, Stickeler E. Update Breast Cancer 2022 Part 3 - Early-Stage Breast Cancer. Geburtshilfe Frauenheilkd 2022; 82:912-921. [PMID: 36110894 PMCID: PMC9470293 DOI: 10.1055/a-1912-7105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 07/31/2022] [Indexed: 11/01/2022] Open
Abstract
This review summarizes recent developments in the prevention and treatment of patients with early-stage breast cancer. The individual disease risk for different molecular subtypes was investigated in a large epidemiological study. With regard to treatment, new data are available from long-term follow-up of the Aphinity study, as well as new data on neoadjuvant therapy with atezolizumab in HER2-positive patients. Biomarkers, such as residual cancer burden, were investigated in the context of pembrolizumab therapy. A Genomic Grade Index study in elderly patients is one of a group of studies investigating the use of modern multigene tests to identify patients with an excellent prognosis in whom chemotherapy may be avoided. These and other aspects of the latest developments in the diagnosis and treatment of breast cancer are described in this review.
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Affiliation(s)
- Tanja N. Fehm
- Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Düsseldorf, Germany
| | | | - Volkmar Müller
- Department of Gynecology, Hamburg-Eppendorf University Medical Center, Hamburg, Germany
| | - Diana Lüftner
- Immanuel Hospital Märkische Schweiz & Medical University of Brandenburg Theodor-Fontane, Brandenburg, Buckow, Germany
| | - Florian Schütz
- Gynäkologie und Geburtshilfe, Diakonissen-Stiftungs-Krankenhaus Speyer, Speyer, Germany
| | - Peter A. Fasching
- Erlangen University Hospital, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen,
Germany,Correspondence/Korrespondenzadresse Peter A. Fasching, MD Erlangen University Hospital, Department of Gynecology and ObstetricsComprehensive Cancer
Center Erlangen EMNFriedrich Alexander University of Erlangen-NurembergUniversitätsstraße 21 – 2391054
ErlangenGermany
| | - Wolfgang Janni
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Christoph Thomssen
- Department of Gynaecology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Isabell Witzel
- Department of Gynecology, Hamburg-Eppendorf University Medical Center, Hamburg, Germany
| | | | - Michael Untch
- Clinic for Gynecology and Obstetrics, Breast Cancer Center, Gynecologic Oncology Center, Helios Klinikum Berlin Buch, Berlin, Germany
| | - Marc Thill
- Agaplesion Markus Krankenhaus, Department of Gynecology and Gynecological Oncology, Frankfurt am Main, Germany
| | - Hans Tesch
- Oncology Practice at Bethanien Hospital, Frankfurt am Main, Germany
| | - Nina Ditsch
- Department of Gynecology and Obstetrics, University Hospital Augsburg, Augsburg, Germany
| | - Michael P. Lux
- Klinik für Gynäkologie und Geburtshilfe, Frauenklinik St. Louise, Paderborn, St. Josefs-Krankenhaus, Salzkotten, St. Vincenz Krankenhaus GmbH, Germany
| | - Bahriye Aktas
- Department of Gynecology, University of Leipzig Medical Center, Leipzig, Germany
| | - Maggie Banys-Paluchowski
- Department of Gynecology and Obstetrics, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Andreas Schneeweiss
- National Center for Tumor Diseases (NCT), Heidelberg University Hospital and German Cancer Research Center, Heidelberg, Germany
| | | | - Andreas D. Hartkopf
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Achim Wöckel
- Department of Gynecology and Obstetrics, University Hospital Würzburg, Würzburg, Germany
| | | | - Nadia Harbeck
- Breast Center, Department of Gynecology and Obstetrics and CCC Munich LMU, LMU University Hospital, Munich, Germany
| | - Elmar Stickeler
- Department of Gynecology and Obstetrics, RWTH University Hospital Aachen, Aachen, Germany
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5
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Li WM, Sun QW, Fan XF, Zhang JC, Xu T, Shen QQ, Jia L. Mammography breast density: an effective supplemental modality for the precise grading of ultrasound BI-RADS 4 categories. Gland Surg 2021; 10:2010-2018. [PMID: 34268085 DOI: 10.21037/gs-21-313] [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: 04/02/2021] [Accepted: 06/17/2021] [Indexed: 11/06/2022]
Abstract
Background High breast density is significantly associated with an increased risk of breast diseases. Presently, suspected breast masses assessed as Breast Imaging-Reporting and Data System (BI-RADS) grade 4 provide a wide range of positive predictive values. Moreover, subcategories (4a, 4b, and 4c) are still under consideration as the diagnostic criteria are neither comprehensive nor objective. However, whether mammography breast density (MBD) has any impact on the accurate grading of BI-RADS 4 assessed by ultrasound (US) remains unknown. Methods A total of 1,086 women with 1,293 breast masses were included and assessed as BI-RADS 3-5 by US. The subcategories of MBD (from the ACR-a to the ACR-d group) were assessed by mammography according to the criteria of the American College of Radiology (ACR). The clinicopathological characteristics of these patients were reviewed retrospectively. The malignancy rates of breast masses among different subgroups assessed by BI-RADS were re-estimated with MBD. Results Almost all BI-RADS 3 masses were classified as benign and nearly all BI-RADS 5 masses were identified as malignant. Significant inverse associations between MBD and malignancy rates were detected between the BI-RADS 4a and BI-RADS 4b groups. Moreover, malignancy rates decreased significantly from ACR-a to ACR-d for BI-RADS 4a and 4b breast lesions (P<0.001). However, this trend was not observed in BI-RADS 4c breast lesions. Conclusions MBD could serve as a crucial factor for the accurate grading of BI-RADS 4 lesions assessed by US. We strongly recommend the adoption of the MBD as a possible supplemental screening modality for US. Furthermore, it is equally beneficial for accurate risk assessment and screening recommendations based on MBD.
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Affiliation(s)
- Wei-Min Li
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Qiu-Wei Sun
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Xiao-Fang Fan
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jun-Chao Zhang
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Ting Xu
- Department of Clinical and Research, Shenzhen Mindray Biomedical Electronics Co., Ltd, Shenzhen, China
| | - Qi-Qi Shen
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Lei Jia
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, China
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6
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Lian J, Li K. A Review of Breast Density Implications and Breast Cancer Screening. Clin Breast Cancer 2020; 20:283-290. [DOI: 10.1016/j.clbc.2020.03.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 02/10/2020] [Accepted: 03/12/2020] [Indexed: 12/15/2022]
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7
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Impact of Breast Density Awareness on Knowledge about Breast Cancer Risk Factors and the Self-Perceived Risk of Breast Cancer. Diagnostics (Basel) 2020; 10:diagnostics10070496. [PMID: 32698375 PMCID: PMC7399945 DOI: 10.3390/diagnostics10070496] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 07/12/2020] [Accepted: 07/18/2020] [Indexed: 12/24/2022] Open
Abstract
Breast density (BD) reduces sensitivity of mammography, and is a strong risk factor for breast cancer (BC). Data about women's awareness and knowledge of BD are limited. Our aim is to examine whether the BD information disclosure and BD awareness among women without BC are related to their knowledge about BC risk factors. We examined self-reported BC risk perception and its association to BD awareness and level of health literacy. A cross-sectional, single site study included 263 Croatian women without BC who had mammographic examination. Data were collected by interviews using questionnaires and a validated survey. Of the total, 77.1% had never heard of BD, and 22.9% were aware of their BD. Most participants who knew their BD (88.2%, p < 0.001) had higher levels of education. Majority of subjects (66.8%) had non-dense breasts and 33.2% had dense breasts. Subjects aware of their BD knew that post-menopausal hormone replacement therapy (p = 0.04) and higher BD (p = 0.03) are BC risk factors. They could more easily access information about health promotion (p = 0.03). High-BD informed women assessed their lifetime BC risk as significantly higher than all others (p = 0.03). Comprehension of BD awareness and knowledge is crucial for reinforcement of educational strategies and development of amendatory BC screening decisions.
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Reyes E, Xercavins N, Saura C, Espinosa-Bravo M, Gil-Moreno A, Cordoba O. Breast cancer during pregnancy: matched study of diagnostic approach, tumor characteristics, and prognostic factors. TUMORI JOURNAL 2020; 106:378-387. [PMID: 32623975 DOI: 10.1177/0300891620925158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Breast cancer is one of the most frequently occurring cancers during pregnancy and its incidence is increasing. Many studies have shown poor outcomes, the causes of which remain unclear. OBJECTIVES To analyze radiologic characteristics, histology, and prognosis factors of breast cancer during pregnancy. METHODS A total of 42 patients with breast cancer diagnosed during pregnancy (BCP) were matched with 84 patients with breast cancer of similar age who were not pregnant. Sensitivity of radiology, tumor characteristics, prognosis factors, disease-free survival, and overall survival were analyzed. RESULTS The sensitivity of breast ultrasound was higher than that of mammography for both groups. Ultrasound sensitivity for cancer was 95.7% in patients with BCP versus 98% in the not pregnant group, with non-statistically significant differences. Mammography sensitivity for cancer was 56.5% in patients with BCP versus 61% in the not pregnant group, with non-statistically significant differences. The stage at diagnosis according to the TNM staging system was significantly higher in patients with BCP with stage IV cancer: 16.7% in patients with BCP versus 3.7% in the not pregnant group (p = 0.03). No statistically significant differences were observed in histologic grade, Ki-67 index, or molecular subtype. Disease-free survival and overall survival were significantly lower in patients with BCP (p = 0.002 and p = 0.04). Multivariate analysis showed no difference when adjusting for stage and surrogate molecular subtype. CONCLUSION Breast ultrasound shows a high sensitivity to detect breast cancer during pregnancy. BCP is diagnosed at a higher stage than in nonpregnant women. In our series, patients with BCP had poorer outcomes than the not pregnant group. These results were not observed when adjusting for stage.
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Affiliation(s)
- Eduardo Reyes
- Department of Obstetrics and Gynecology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Natalia Xercavins
- Department of Obstetrics and Gynecology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Cristina Saura
- Vall d'Hebron Breast Cancer Center, Service of Oncology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Martin Espinosa-Bravo
- Vall d'Hebron Breast Cancer Center, Service of Gynecology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Antonio Gil-Moreno
- Unit of Gynecologic Oncology, Department of Obstetrics and Gynecology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Octavi Cordoba
- Hospital Universitari Son Espases, Palma, Illes Balears, Spain
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9
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Wunderle M, Ruebner M, Häberle L, Schwenke E, Hack CC, Bayer CM, Koch MC, Schwitulla J, Schulz-Wendtland R, Kozieradzki I, Lux MP, Beckmann MW, Jud SM, Penninger JM, Schneider MO, Fasching PA. RANKL and OPG and their influence on breast volume changes during pregnancy in healthy women. Sci Rep 2020; 10:5171. [PMID: 32198488 PMCID: PMC7083828 DOI: 10.1038/s41598-020-62070-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 03/03/2020] [Indexed: 01/12/2023] Open
Abstract
Breast cancer risk is reduced by number of pregnancies and breastfeeding duration, however studies of breast changes during or after pregnancy are rare. Breast volume changes - although not linked to breast cancer risk - might be an interesting phenotype in this context for correlative studies, as changes of breast volume vary between pregnant women. Serum receptor activator of nuclear factor kappa B ligand (RANKL) and its antagonist osteoprotegerin (OPG) were measured prospectively before gestational week 12, and three-dimensional breast volume assessments were performed. A linear regression model including breast volume at the start of pregnancy, RANKL, OPG, and other factors was used to predict breast volume at term. The mean breast volume was 413 mL at gestational week 12, increasing by a mean of 99 mL up to gestational week 40. In addition to body mass index and breast volume at the beginning of pregnancy, RANKL and OPG appeared to influence breast volume with a mean increase by 32 mL (P = 0.04) and a mean reduction by 27 mL (P = 0.04), respectively. Linking the RANKL/RANK/OPG pathway with breast volume changes supports further studies aiming at analysing breast changes during pregnancy with regard to breast cancer risk.
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Affiliation(s)
- Marius Wunderle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Lothar Häberle
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.,Biostatistics Unit, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Eva Schwenke
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Carolin C Hack
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Christian M Bayer
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Martin C Koch
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Judith Schwitulla
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Ruediger Schulz-Wendtland
- Institute of Diagnostic Radiology, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Ivona Kozieradzki
- Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, Canada.,Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna, Austria
| | - Michael P Lux
- Klinik für Gynäkologie und Geburtshilfe, Frauenklinik St. Louise, Paderborn, St. Josefs-Krankenhaus, Salzkotten, Germany
| | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Sebastian M Jud
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Josef M Penninger
- Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, Canada.,Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna, Austria
| | - Michael O Schneider
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.
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10
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Lux MP, Emons J, Bani MR, Wunderle M, Sell C, Preuss C, Rauh C, Jud SM, Heindl F, Langemann H, Geyer T, Brandl AL, Hack CC, Adler W, Schulz-Wendtland R, Beckmann MW, Fasching PA, Gass P. Diagnostic Accuracy of Breast Medical Tactile Examiners (MTEs): A Prospective Pilot Study. Breast Care (Basel) 2019; 14:41-47. [PMID: 31019442 DOI: 10.1159/000495883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Background The usefulness of clinical breast examination (CBE) in general and in breast cancer screening programs has been a matter of debate. This study investigated whether adding vision-impaired medical tactile examiners (MTEs) improves the predictiveness of CBE for suspicious lesions and analyzed the feasibility and acceptability of this approach. Methods The prospective study included 104 patients. Physicians and MTEs performed CBEs, and mammography and ultrasound results were used as the gold standard. Sensitivity and specificity were calculated and logistic regression models were used to compare the predictive value of CBE by physicians alone, MTEs alone, and physicians and MTEs combined. Results For CBEs by physicians alone, MTEs alone, and both combined, sensitivity was 71, 82, and 89% and specificity was 55, 45, and 35%, respectively. Using adjusted logistic regression models, the validated areas under the curve were 0.685, 0.692, and 0.710 (median bootstrapped p value (DeLong) = 0.381). Conclusion The predictive value for a suspicious breast lesion in CBEs performed by MTEs in patients without prior surgery was similar to that of physician-conducted CBEs. Including MTEs in the CBE procedure in breast units thus appears feasible and could be a way of utilizing their skills.
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Affiliation(s)
- Michael P Lux
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Julius Emons
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Mayada R Bani
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Marius Wunderle
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Charlotte Sell
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Caroline Preuss
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Claudia Rauh
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Sebastian M Jud
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Felix Heindl
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Hanna Langemann
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Thomas Geyer
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Anna-Lisa Brandl
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Carolin C Hack
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Werner Adler
- Institute of Biometry and Epidemiology, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | | | - Matthias W Beckmann
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Peter A Fasching
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
| | - Paul Gass
- Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen - EMN, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen
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11
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Ho PJ, Bok CM, Ishak HMM, Lim LY, Liu J, Wong FY, Chia KS, Tan MH, Chay WY, Hartman M, Li J. Factors associated with false-positive mammography at first screen in an Asian population. PLoS One 2019; 14:e0213615. [PMID: 30856210 PMCID: PMC6411141 DOI: 10.1371/journal.pone.0213615] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 02/25/2019] [Indexed: 11/19/2022] Open
Abstract
Introduction False-positive recall is an issue in national screening programmes. The aim of this study is to investigate the recall rate at first screen and to identify potential predictors of false-positive recall in a multi-ethnic Asian population-based breast cancer screening programme. Methods Women aged 50–64 years attending screening mammography for the first time (n = 25,318) were included in this study. The associations between potential predictors (sociodemographic, lifestyle and reproductive) and false-positive recall were evaluated using multivariable logistic regression models. Results The recall rate was 7.6% (n = 1,923), of which with 93.8% were false-positive. Factors independently associated with higher false-positive recall included Indian ethnicity (odds ratio [95% confidence interval]: 1.52 [1.25 to 1.84]), premenopause (1.23 [1.04 to 1.44]), nulliparity (1.85 [1.57 to 2.17]), recent breast symptoms (1.72 [1.31 to 2.23]) and history of breast lump excision (1.87 [1.53 to 2.26]). Factors associated with lower risk of false-positive recall included older age at screen (0.84 [0.73 to 0.97]) and use of oral contraceptives (0.87 [0.78 to 0.97]). After further adjustment of percent mammographic density, associations with older age at screening (0.97 [0.84 to 1.11]) and menopausal status (1.12 [0.95 to 1.32]) were attenuated and no longer significant. Conclusion For every breast cancer identified, 15 women without cancer were subjected to further testing. Efforts to educate Asian women on what it means to be recalled will be useful in reducing unnecessary stress and anxiety.
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Affiliation(s)
- Peh Joo Ho
- Genome Institute of Singapore, Genome, Singapore, Singapore, Singapore
| | - Chek Mei Bok
- Genome Institute of Singapore, Genome, Singapore, Singapore, Singapore
| | | | - Li Yan Lim
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Jenny Liu
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
| | | | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
| | - Min-Han Tan
- National Cancer Centre, Singapore, Singapore
- Institute of Bioengineering and Nanotechnology, Singapore, Singapore
| | | | - Mikael Hartman
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
| | - Jingmei Li
- Genome Institute of Singapore, Genome, Singapore, Singapore, Singapore
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
- * E-mail:
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12
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Napolitano G, Lynge E, Lillholm M, Vejborg I, van Gils CH, Nielsen M, Karssemeijer N. Change in mammographic density across birth cohorts of Dutch breast cancer screening participants. Int J Cancer 2019; 145:2954-2962. [PMID: 30762225 PMCID: PMC6850337 DOI: 10.1002/ijc.32210] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 01/15/2019] [Accepted: 01/31/2019] [Indexed: 12/02/2022]
Abstract
High mammographic density is a well‐known risk factor for breast cancer. This study aimed to search for a possible birth cohort effect on mammographic density, which might contribute to explain the increasing breast cancer incidence. We separately analyzed left and right breast density of Dutch women from a 13‐year period (2003–2016) in the breast cancer screening programme. First, we analyzed age‐specific changes in average percent dense volume (PDV) across birth cohorts. A linear regression analysis (PDV vs. year of birth) indicated a small but statistically significant increase in women of: 1) age 50 and born from 1952 to 1966 (left, slope = 0.04, p = 0.003; right, slope = 0.09, p < 0.0001); 2) age 55 and born from 1948 to 1961 (right, slope = 0.04, p = 0.01); and 3) age 70 and born from 1933 to 1946 (right, slope = 0.05, p = 0.002). A decrease of total breast volume seemed to explain the increase in PDV. Second, we compared proportion of women with dense breast in women born in 1946–1953 and 1959–1966, and observed a statistical significant increase of proportion of highly dense breast in later born women, in the 51 to 55 age‐groups for the left breast (around a 20% increase in each age‐group), and in the 50 to 56 age‐groups for the right breast (increase ranging from 27% to 48%). The study indicated a slight increase in mammography density across birth cohorts, most pronounced for women in their early 50s, and more marked for the right than for the left breast. What's new? Women with dense breast tissue are at increased risk of breast cancer. Here, changes in mammographic density were investigated across birth cohorts in women enrolled in a breast cancer screening program in the Netherlands. The findings reveal an increase in the average fraction of dense tissue in the breast across cohorts. In particular, greater breast density was observed in a higher proportion of women in later‐born than earlier‐born birth cohorts. The increase was most significant among women in their early 50s and may be linked to a reported shift toward older age at menopause among women in Europe.
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Affiliation(s)
- George Napolitano
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Elsebeth Lynge
- Nykøbing Falster Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Martin Lillholm
- Department of Computer Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ilse Vejborg
- Department of Radiology, University Hospital Copenhagen, Copenhagen, Denmark
| | - Carla H van Gils
- Department of Epidemiology, Julius Center for Health, Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Mads Nielsen
- Department of Computer Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nico Karssemeijer
- Department of Radiology and Nuclear Medicine, Radboud University, Medical Center, Nijmegen, The Netherlands
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