Literature DB >> 20858914

Characterizing early contrast uptake of ductal carcinoma in situ with high temporal resolution dynamic contrast-enhanced MRI of the breast: a pilot study.

S A Jansen1, X Fan, M Medved, H Abe, A Shimauchi, C Yang, M Zamora, S Foxley, O I Olopade, G S Karczmar, G M Newstead.   

Abstract

Improvements in the reliable diagnosis of preinvasive ductal carcinoma in situ (DCIS) by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are needed. In this study, we present a new characterization of early contrast kinetics of DCIS using high temporal resolution (HiT) DCE-MRI and compare it with other breast lesions and normal parenchyma. Forty patients with mammographic calcifications suspicious for DCIS were selected for HiT imaging using T(1)-weighted DCE-MRI with ∼7 s temporal resolution for 90 s post-contrast injection. Pixel-based and whole-lesion kinetic curves were fit to an empirical mathematical model (EMM) and several secondary kinetic parameters derived. Using the EMM parameterized and fitted concentration time curve for subsequent analysis allowed for calculation of kinetic parameters that were less susceptible to fluctuations due to noise. The parameters' initial area under the curve (iAUC) and contrast concentration at 1 min (C(1 min)) provided the highest diagnostic accuracy in the task of distinguishing pathologically proven DCIS from normal tissue. There was a trend for DCIS lesions with solid architectural pattern to exhibit a negative slope at 1 min (i.e. increased washout rate) compared to those with a cribriform pattern (p < 0.04). This pilot study demonstrates the feasibility of quantitative analysis of early contrast kinetics at high temporal resolution and points to the potential for such an analysis to improve the characterization of DCIS.

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Year:  2010        PMID: 20858914     DOI: 10.1088/0031-9155/55/19/N02

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  14 in total

1.  Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images.

Authors:  Milica Medved; Xiaobing Fan; Hiroyuki Abe; Gillian M Newstead; Abbie M Wood; Akiko Shimauchi; Kirti Kulkarni; Marko K Ivancevic; Lorenzo L Pesce; Olufunmilayo I Olopade; Gregory S Karczmar
Journal:  Acad Radiol       Date:  2011-10-01       Impact factor: 3.173

2.  Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.

Authors:  Neha Bhooshan; Maryellen Giger; Milica Medved; Hui Li; Abbie Wood; Yading Yuan; Li Lan; Angelica Marquez; Greg Karczmar; Gillian Newstead
Journal:  J Magn Reson Imaging       Date:  2013-09-10       Impact factor: 4.813

3.  Dynamic field-of-view imaging to increase temporal resolution in the early phase of contrast media uptake in breast DCE-MRI: A feasibility study.

Authors:  Federico D Pineda; Ty O Easley; Gregory S Karczmar
Journal:  Med Phys       Date:  2018-01-24       Impact factor: 4.071

Review 4.  Review of treatment assessment using DCE-MRI in breast cancer radiation therapy.

Authors:  Chun-Hao Wang; Fang-Fang Yin; Janet Horton; Zheng Chang
Journal:  World J Methodol       Date:  2014-06-26

Review 5.  How Can Advanced Imaging Be Used to Mitigate Potential Breast Cancer Overdiagnosis?

Authors:  Habib Rahbar; Elizabeth S McDonald; Janie M Lee; Savannah C Partridge; Christoph I Lee
Journal:  Acad Radiol       Date:  2016-03-23       Impact factor: 3.173

Review 6.  Advances in Breast MRI in the Setting of Ductal Carcinoma In Situ.

Authors:  Nita Amornsiripanitch; Diana L Lam; Habib Rahbar
Journal:  Semin Roentgenol       Date:  2018-08-30       Impact factor: 0.800

7.  The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast.

Authors:  Sanaz A Jansen; Akiko Shimauchi; Lindsay Zak; Xiaobing Fan; Gregory S Karczmar; Gillian M Newstead
Journal:  J Magn Reson Imaging       Date:  2011-06       Impact factor: 4.813

8.  MRI accurately identifies early murine mammary cancers and reliably differentiates between in situ and invasive cancer: correlation of MRI with histology.

Authors:  Devkumar Mustafi; Marta Zamora; Xiaobing Fan; Erica Markiewicz; Jeffrey Mueller; Suzanne D Conzen; Gregory S Karczmar
Journal:  NMR Biomed       Date:  2015-07-07       Impact factor: 4.044

9.  A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment.

Authors:  Qian Yang; Lihua Li; Juan Zhang; Guoliang Shao; Bin Zheng
Journal:  Eur J Radiol       Date:  2014-03-22       Impact factor: 3.528

10.  Ultrafast Bilateral DCE-MRI of the Breast with Conventional Fourier Sampling: Preliminary Evaluation of Semi-quantitative Analysis.

Authors:  Federico D Pineda; Milica Medved; Shiyang Wang; Xiaobing Fan; David V Schacht; Charlene Sennett; Aytekin Oto; Gillian M Newstead; Hiroyuki Abe; Gregory S Karczmar
Journal:  Acad Radiol       Date:  2016-06-06       Impact factor: 3.173

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