Literature DB >> 25445896

Impact of fibroglandular tissue and background parenchymal enhancement on diffusion weighted imaging of breast lesions.

Chiara Iacconi1, Sunitha B Thakur2, David D Dershaw3, Jennifer Brooks4, Charles W Fry5, Elizabeth A Morris6.   

Abstract

PURPOSE: To evaluate the influence of the amount of fibroglandular breast tissue (FGT) and background-parenchymal enhancement (BPE) on lesion detection, quantitative analysis of normal breast tissue and of breast lesions on DWI.
MATERIALS AND METHODS: IRB approved this retrospective study on focal findings at contrast-enhanced (CE)breast MR and DWI performed during July-December 2011. Patients with cysts, previous irradiation,silicone implants and current chemotherapy were excluded. DWI with fat suppression was acquired before dynamic acquisition (b factors: 0.1000 s/mm2) using 1.5 and 3 T scanners. Using correlation with dynamic and T2 images, ROIs were drawn free-hand within the borders of any visible lesion and incontralateral normal breast. Fisher's exact test to evaluate visibility and Wilcoxon-rank-sum test for comparison of ADC values were used. The amount of FGT and BPE was visually assessed by concurrent MRI. Analysis was stratified by menopausal status.
RESULTS: 25/127 (20%) lesions were excluded for technical reasons. 65/102 (64%) lesions were visible on DWI (median diameter: 1.85 cm). Mass lesions (M) were more visible (43/60 = 72%) than non-mass enhancement (NME) (22/42 = 52%) and malignant lesions were more visible (55/72 = 76%) than benign(10/30 = 33%). BPE and FGT did not influence visibility of M (p = 0.35 and p = 0.57 respectively) as well as of NME (p = 0.54 and p = 0.10). BPE and FGT did not influence visibility of malignant (p = 0.96 and p = 1.0)and benign lesions (p = 1.0 and p = 0.10). Results were confirmed adjusting for menopausal status. The ADC value of normal breast tissue was not influenced by BPE, while it was lower in predominantly fatty breasts compared to dense ones (p = 0.002).
CONCLUSIONS: FGT affects the quantitative evaluation of ADC in normal breast tissue whereas BPE does not.Furthermore, both BPE and FGT do not influence visibility of benign or malignant findings, including both mass lesions and non-mass enhancement, on DWI.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

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Year:  2014        PMID: 25445896     DOI: 10.1016/j.ejrad.2014.09.004

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


  10 in total

Review 1.  Evaluation of background parenchymal enhancement on breast MRI: a systematic review.

Authors:  Bianca Bignotti; Alessio Signori; Francesca Valdora; Federica Rossi; Massimo Calabrese; Manuela Durando; Giovanna Mariscotto; Alberto Tagliafico
Journal:  Br J Radiol       Date:  2016-12-07       Impact factor: 3.039

Review 2.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

3.  Apparent diffusion coefficient mapping using diffusion-weighted MRI: impact of background parenchymal enhancement, amount of fibroglandular tissue and menopausal status on breast cancer diagnosis.

Authors:  Joao V Horvat; Manuela Durando; Soledad Milans; Sujata Patil; Jessica Massler; Girard Gibbons; Dilip Giri; Katja Pinker; Elizabeth A Morris; Sunitha B Thakur
Journal:  Eur Radiol       Date:  2018-01-12       Impact factor: 5.315

4.  Diffusion-Weighted MRI of the Breast in Women with a History of Mantle Radiation: Does Radiation Alter Apparent Diffusion Coefficient?

Authors:  Punam Bajaj; Chiara Iacconi; David D Dershaw; Elizabeth A Morris
Journal:  J Breast Imaging       Date:  2019-08-29

5.  Accurate Estimation of Breast Tumor Size: A Comparison Between Ultrasonography, Mammography, Magnetic Resonance Imaging, and Associated Contributing Factors.

Authors:  Shilan Azhdeh; Ahmad Kaviani; Nahid Sadighi; Maryam Rahmani
Journal:  Eur J Breast Health       Date:  2020-12-24

6.  Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer.

Authors:  Soo Yeon Hahn; Eun Sook Ko; Boo-Kyung Han; Yaeji Lim; Seonhye Gu; Eun Young Ko
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

7.  Impact of Different Analytic Approaches on the Analysis of the Breast Fibroglandular Tissue Using Diffusion Weighted Imaging.

Authors:  Yoon Jung Choi; Jeon-Hor Chen; Hon J Yu; Yifan Li; Min-Ying Su
Journal:  Biomed Res Int       Date:  2017-03-02       Impact factor: 3.411

8.  Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.

Authors:  Joao V Horvat; Blanca Bernard-Davila; Thomas H Helbich; Michelle Zhang; Elizabeth A Morris; Sunitha B Thakur; R Elena Ochoa-Albiztegui; Doris Leithner; Maria A Marino; Pascal A Baltzer; Paola Clauser; Panagiotis Kapetas; Zsuzsanna Bago-Horvath; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-02-27       Impact factor: 4.813

9.  Simplified intravoxel incoherent motion DWI for differentiating malignant from benign breast lesions.

Authors:  Petra Mürtz; Mark Tsesarskiy; Alois M Sprinkart; Wolfgang Block; Oleksandr Savchenko; Julian A Luetkens; Ulrike Attenberger; Claus C Pieper
Journal:  Eur Radiol Exp       Date:  2022-09-29

Review 10.  Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.

Authors:  Julia Camps-Herrero
Journal:  BJR Open       Date:  2019-03-08
  10 in total

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