Literature DB >> 17030108

Influence of mammographic density on the diagnostic accuracy of tumor size assessment and association with breast cancer tumor characteristics.

Peter A Fasching1, Katharina Heusinger, Christian R Loehberg, Evelyn Wenkel, Michael P Lux, Michael Schrauder, Thomas Koscheck, Werner Bautz, Rüdiger Schulz-Wendtland, Matthias W Beckmann, Mayada R Bani.   

Abstract

PURPOSE: The accuracy of breast cancer staging involves the estimation of the tumor size for the initial decision-making in the treatment. We investigated the accuracy of tumor size estimation and the association between tumor characteristics and breast density (BD).
MATERIALS AND METHODS: A total of 434 women with a primary diagnosis of breast cancer were included in this prospective study at a specialist breast unit. Estimated tumor characteristics included tumor size, nodal status, estrogen/progesterone receptor status, Ki-67, HER2/neu, vascular invasion. Radiomorphological data included tumor size as assessed by mammography, breast ultrasonography, and clinical examination, and American College of Radiology (ACR) categories for BD.
RESULTS: BD did not have a significant impact on the assessment of tumor size using breast ultrasound (deviation from ACR categories 1-4: 0.55-0.68 cm; P=0.331). The deviation in mammography was significantly different dependent on BD (0.42-0.9 cm; P<0.001). The clinical examination was not affected by BD. Age and tumor size were the only parameters associated with a denser breast in the multivariate analysis. Older women were less likely to have dense breasts (odds ratio 0.157 for women aged >or=70 years), and patients with larger tumors were less likely to have dense breasts (adjusted OR 0.36 for tumors>2 cm).
CONCLUSION: Breast ultrasonography is more accurate than mammography for assessing tumor size in breasts with a higher BD. The difference in tumor size assessment needs to be taken into consideration in the design of clinical trials and treatment decisions.

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Year:  2006        PMID: 17030108     DOI: 10.1016/j.ejrad.2006.08.002

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  25 in total

1.  Breast density influences tumor subtypes and tumor aggressiveness.

Authors:  Karla Kerlikowske; Amanda I Phipps
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

Review 2.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

3.  Accuracy of tumour size assessment in the preoperative staging of breast cancer: comparison of digital mammography, tomosynthesis, ultrasound and MRI.

Authors:  Andrea Luparia; Giovanna Mariscotti; Manuela Durando; Stefano Ciatto; Davide Bosco; Pier Paolo Campanino; Isabella Castellano; Anna Sapino; Giovanni Gandini
Journal:  Radiol Med       Date:  2013-06-25       Impact factor: 3.469

4.  Biomarkers in Patients with Metastatic Breast Cancer and the PRAEGNANT Study Network.

Authors:  P A Fasching; S Y Brucker; T N Fehm; F Overkamp; W Janni; M Wallwiener; P Hadji; E Belleville; L Häberle; F-A Taran; D Lüftner; M P Lux; J Ettl; V Müller; H Tesch; D Wallwiener; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2015-01       Impact factor: 2.915

5.  Assessment of breast cancer tumour size using six different methods.

Authors:  Martina Meier-Meitinger; Lothar Häberle; Peter A Fasching; Mayada R Bani; Katharina Heusinger; David Wachter; Matthias W Beckmann; Michael Uder; Rüdiger Schulz-Wendtland; Boris Adamietz
Journal:  Eur Radiol       Date:  2010-12-30       Impact factor: 5.315

6.  Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics.

Authors:  Lusine Yaghjyan; Graham A Colditz; Laura C Collins; Stuart J Schnitt; Bernard Rosner; Celine Vachon; Rulla M Tamimi
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

7.  Incidence and risk factors of the intraoperative localization failure of nonpalpable breast lesions by radio-guided occult lesion localization: a retrospective analysis of 579 cases.

Authors:  Sergio Bernardi; Serena Bertozzi; Ambrogio P Londero; Giuliana Gentile; Francesco Giacomuzzi; Arnalda Carbone
Journal:  World J Surg       Date:  2012-08       Impact factor: 3.352

8.  Estimation of tumor size in breast cancer comparing clinical examination, mammography, ultrasound and MRI-correlation with the pathological analysis of the surgical specimen.

Authors:  Tomas Cortadellas; Paula Argacha; Juan Acosta; Jordi Rabasa; Ricardo Peiró; Margarita Gomez; Laura Rodellar; Sandra Gomez; Alejandra Navarro-Golobart; Sonia Sanchez-Mendez; Milagros Martinez-Medina; Mireia Botey; Carlos Muñoz-Ramos; Manel Xiberta
Journal:  Gland Surg       Date:  2017-08

9.  Breast Cancer Risk - From Genetics to Molecular Understanding of Pathogenesis.

Authors:  P A Fasching; A B Ekici; D L Wachter; A Hein; C M Bayer; L Häberle; C R Loehberg; M Schneider; S M Jud; K Heusinger; M Rübner; C Rauh; M R Bani; M P Lux; R Schulz-Wendtland; A Hartmann; M W Beckmann
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-12       Impact factor: 2.915

10.  Contrast-enhanced spectral mammography versus MRI: Initial results in the detection of breast cancer and assessment of tumour size.

Authors:  E M Fallenberg; C Dromain; F Diekmann; F Engelken; M Krohn; J M Singh; B Ingold-Heppner; K J Winzer; U Bick; D M Renz
Journal:  Eur Radiol       Date:  2013-09-19       Impact factor: 5.315

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