Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging
- PMID: 20574085
- PMCID: PMC2897691
- DOI: 10.1148/radiol.10091367
Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging
Abstract
Purpose: To evaluate the incremental value of diffusion-weighted (DW) imaging and apparent diffusion coefficient (ADC) mapping in relation to conventional breast magnetic resonance (MR) imaging in the characterization of benign versus malignant breast lesions at 3.0 T.
Materials and methods: This retrospective HIPAA-compliant study was approved by the institutional review board, with the requirement for informed patient consent waived. Of 550 consecutive patients who underwent bilateral breast MR imaging over a 10-month period, 93 women with 101 lesions met the following study inclusion criteria: They had undergone three-dimensional (3D) high-spatial-resolution T1-weighted contrast material-enhanced MR imaging, dynamic contrast-enhanced MR imaging, and DW imaging examinations at 3.0 T and either had received a pathologic analysis-proven diagnosis (96 lesions) or had lesion stability confirmed at more than 2 years of follow-up (five lesions). DW images were acquired with b values of 0 and 600 sec/mm(2). Regions of interest were drawn on ADC maps of breast lesions and normal glandular tissue. Morphologic features (margin, enhancement pattern), dynamic contrast-enhanced MR results (semiquantitative kinetic curve data), absolute ADCs, and glandular tissue-normalized ADCs were included in multivariate models to predict a diagnosis of benign versus malignant lesion.
Results: Forty-one (44%) of the 93 patients were premenopausal, and 52 (56%) were postmenopausal. Thirty-three (32.7%) of the 101 lesions were benign, and 68 (67.3%) were malignant. Normalized ADCs were significantly different between the benign (mean ADC, 1.1 x 10(-3) mm(2)/sec +/- 0.4 [standard deviation]) and malignant (mean ADC, 0.55 x 10(-3) mm(2)/sec +/- 0.16) lesions (P < .001). Adding normalized ADCs to the 3D T1-weighted and dynamic contrast-enhanced MR data improved the diagnostic performance of MR imaging: The area under the receiver operating characteristic curve improved from 0.89 to 0.98, and the false-positive rate decreased from 36% (nine of 25 lesions) to 24% (six of 25 lesions).
Conclusion: DW imaging with glandular tissue-normalized ADC assessment improves the characterization of breast lesions beyond the characterization achieved with conventional 3D T1-weighted and dynamic contrast-enhanced MR imaging at 3.0 T.
Conflict of interest statement
Authors stated no financial relationship to disclose.
Figures












Similar articles
-
T1 hyperintense renal lesions: characterization with diffusion-weighted MR imaging versus contrast-enhanced MR imaging.Radiology. 2009 Jun;251(3):796-807. doi: 10.1148/radiol.2513080724. Epub 2009 Apr 20. Radiology. 2009. PMID: 19380690
-
Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.Radiology. 2012 Dec;265(3):696-706. doi: 10.1148/radiol.12112672. Epub 2012 Oct 2. Radiology. 2012. PMID: 23033500 Free PMC article.
-
3-T dynamic contrast-enhanced MRI of the breast: pharmacokinetic parameters versus conventional kinetic curve analysis.AJR Am J Roentgenol. 2011 Dec;197(6):1498-505. doi: 10.2214/AJR.10.4665. AJR Am J Roentgenol. 2011. PMID: 22109308 Free PMC article.
-
Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study.Radiology. 2011 Aug;260(2):364-72. doi: 10.1148/radiol.11101892. Epub 2011 Jun 1. Radiology. 2011. PMID: 21633054
-
Functional MR Imaging in Gynecologic Cancer.Magn Reson Imaging Clin N Am. 2016 Feb;24(1):205-222. doi: 10.1016/j.mric.2015.08.008. Epub 2015 Oct 27. Magn Reson Imaging Clin N Am. 2016. PMID: 26613882 Review.
Cited by
-
Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation.Pharmaceutics. 2012;4(3):442-78. doi: 10.3390/pharmaceutics4030442. Pharmaceutics. 2012. PMID: 23105959 Free PMC article.
-
[Diffusion-weighted imaging texture features in differentiation of malignant from benign nonpalpable breast lesions for patients with microcalcifications-only in mammography].Zhejiang Da Xue Xue Bao Yi Xue Ban. 2018 Feb 25;47(4):400-404. doi: 10.3785/j.issn.1008-9292.2018.08.12. Zhejiang Da Xue Xue Bao Yi Xue Ban. 2018. PMID: 30511528 Free PMC article. Chinese.
-
Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications.Magn Reson Imaging Clin N Am. 2013 Aug;21(3):601-24. doi: 10.1016/j.mric.2013.04.007. Epub 2013 Jun 10. Magn Reson Imaging Clin N Am. 2013. PMID: 23928248 Free PMC article. Review.
-
Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging.Eur Radiol. 2016 Nov;26(11):3888-3898. doi: 10.1007/s00330-016-4241-6. Epub 2016 Feb 10. Eur Radiol. 2016. PMID: 26863896
-
Qualitative and quantitative diffusion-weighted imaging of the breast at 3T - A useful adjunct to contrast-enhanced MRI in characterization of breast lesions.Indian J Radiol Imaging. 2015 Oct-Dec;25(4):397-403. doi: 10.4103/0971-3026.169455. Indian J Radiol Imaging. 2015. PMID: 26751011 Free PMC article.
References
-
- Flickinger FW, Allison JD, Sherry RM, Wright JC. Differentiation of benign from malignant breast masses by time-intensity evaluation of contrast enhanced MRI. Magn Reson Imaging 1993;11(5):617–620 - PubMed
-
- Huang W, Fisher PR, Dulaimy K, Tudorica LA, O’Hea B, Button TM. Detection of breast malignancy: diagnostic MR protocol for improved specificity. Radiology 2004;232(2):585–591 - PubMed
-
- Kneeshaw PJ, Lowry M, Manton D, Hubbard A, Drew PJ, Turnbull LW. Differentiation of benign from malignant breast disease associated with screening detected microcalcifications using dynamic contrast enhanced magnetic resonance imaging. Breast 2006;15(1):29–38 - PubMed
-
- Bluemke DA, Gatsonis CA, Chen MH, et al. Magnetic resonance imaging of the breast prior to biopsy. JAMA 2004;292(22):2735–2742 - PubMed
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Miscellaneous