Literature DB >> 27532897

Kinetic Analysis of Benign and Malignant Breast Lesions With Ultrafast Dynamic Contrast-Enhanced MRI: Comparison With Standard Kinetic Assessment.

Hiroyuki Abe1, Naoko Mori2, Keiko Tsuchiya1, David V Schacht1, Federico D Pineda1, Yulei Jiang1, Gregory S Karczmar1.   

Abstract

OBJECTIVE: The purposes of this study were to evaluate diagnostic parameters measured with ultrafast MRI acquisition and with standard acquisition and to compare diagnostic utility for differentiating benign from malignant lesions.
MATERIALS AND METHODS: Ultrafast acquisition is a high-temporal-resolution (7 seconds) imaging technique for obtaining 3D whole-breast images. The dynamic contrast-enhanced 3-T MRI protocol consists of an unenhanced standard and an ultrafast acquisition that includes eight contrast-enhanced ultrafast images and four standard images. Retrospective assessment was performed for 60 patients with 33 malignant and 29 benign lesions. A computer-aided detection system was used to obtain initial enhancement rate and signal enhancement ratio (SER) by means of identification of a voxel showing the highest signal intensity in the first phase of standard imaging. From the same voxel, the enhancement rate at each time point of the ultrafast acquisition and the AUC of the kinetic curve from zero to each time point of ultrafast imaging were obtained.
RESULTS: There was a statistically significant difference between benign and malignant lesions in enhancement rate and kinetic AUC for ultrafast imaging and also in initial enhancement rate and SER for standard imaging. ROC analysis showed no significant differences between enhancement rate in ultrafast imaging and SER or initial enhancement rate in standard imaging.
CONCLUSION: Ultrafast imaging is useful for discriminating benign from malignant lesions. The differential utility of ultrafast imaging is comparable to that of standard kinetic assessment in a shorter study time.

Entities:  

Keywords:  MRI; breast; cancer; kinetics; ultrafast

Mesh:

Substances:

Year:  2016        PMID: 27532897      PMCID: PMC6535046          DOI: 10.2214/AJR.15.15957

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  23 in total

1.  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

2.  Ultrafast Dynamic Contrast-Enhanced Breast MRI: Kinetic Curve Assessment Using Empirical Mathematical Model Validated with Histological Microvessel Density.

Authors:  Naoko Mori; Hiroyuki Abe; Shunji Mugikura; Chiaki Takasawa; Satoko Sato; Minoru Miyashita; Yu Mori; Federico D Pineda; Gregory S Karczmar; Hajime Tamura; Shoki Takahashi; Kei Takase
Journal:  Acad Radiol       Date:  2018-09-28       Impact factor: 3.173

3.  Diagnostic value of electric properties tomography (EPT) for differentiating benign from malignant breast lesions: comparison with standard dynamic contrast-enhanced MRI.

Authors:  Naoko Mori; Keiko Tsuchiya; Deepa Sheth; Shunji Mugikura; Kei Takase; Ulrich Katscher; Hiroyuki Abe
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

4.  Feasibility analysis of early temporal kinetics as a surrogate marker for breast tumor type, grade, and aggressiveness.

Authors:  Laura Heacock; Alana A Lewin; Yiming Gao; James S Babb; Samantha L Heller; Amy N Melsaether; Neeti Bagadiya; Sungheon G Kim; Linda Moy
Journal:  J Magn Reson Imaging       Date:  2017-11-27       Impact factor: 4.813

5.  Fast Temporal Resolution Dynamic Contrast-Enhanced MRI: Histogram Analysis Versus Visual Analysis for Differentiating Benign and Malignant Breast Lesions.

Authors:  Naoko Mori; Federico D Pineda; Keiko Tsuchiya; Shunji Mugikura; Shoki Takahashi; Gregory S Karczmar; Hiroyuki Abe
Journal:  AJR Am J Roentgenol       Date:  2018-07-31       Impact factor: 3.959

Review 6.  Abbreviated MR Imaging for Breast Cancer.

Authors:  Laura Heacock; Alana A Lewin; Hildegard K Toth; Linda Moy; Beatriu Reig
Journal:  Radiol Clin North Am       Date:  2020-11-02       Impact factor: 2.303

7.  Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial.

Authors:  Anna G Sorace; Savannah C Partridge; Xia Li; Jack Virostko; Stephanie L Barnes; Daniel S Hippe; Wei Huang; Thomas E Yankeelov
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-22

8.  Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.

Authors:  Natsuko Onishi; Meredith Sadinski; Peter Gibbs; Katherine M Gallagher; Mary C Hughes; Eun Sook Ko; Brittany Z Dashevsky; Dattesh D Shanbhag; Maggie M Fung; Theodore M Hunt; Danny F Martinez; Amita Shukla-Dave; Elizabeth A Morris; Elizabeth J Sutton
Journal:  Eur Radiol       Date:  2019-08-29       Impact factor: 5.315

9.  Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors.

Authors:  Chengyue Wu; Federico Pineda; David A Hormuth; Gregory S Karczmar; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2018-10-28       Impact factor: 4.668

10.  Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

Authors:  Anna G Sorace; Chengyue Wu; Stephanie L Barnes; Angela M Jarrett; Sarah Avery; Debra Patt; Boone Goodgame; Jeffery J Luci; Hakmook Kang; Richard G Abramson; Thomas E Yankeelov; John Virostko
Journal:  J Magn Reson Imaging       Date:  2018-03-23       Impact factor: 4.813

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