Literature DB >> 10581507

Dynamic contrast-enhanced MRI in the differentiation of breast tumors: user-defined versus semi-automated region-of-interest analysis.

G P Liney1, P Gibbs, C Hayes, M O Leach, L W Turnbull.   

Abstract

Dynamic contrast-enhanced MR mammography is an increasingly used method of evaluating breast pathology. The purpose of this study was to compare two semi-automated methods of region of interest (ROI) analysis with a user-defined method, in the discrimination of breast tumors using dynamic contrast-enhanced MRI. Results are presented from the retrospective analysis of 81 malignant and 36 benign breast lesions. The study demonstrates the importance of a consistent ROI strategy and also shows that semi-automated approaches offer a standardized method, which may improve the discrimination of primary breast tumors. J. Magn. Reson. Imaging 1999; 10:945-949. Copyright 1999 Wiley-Liss, Inc.

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Year:  1999        PMID: 10581507     DOI: 10.1002/(sici)1522-2586(199912)10:6<945::aid-jmri6>3.0.co;2-i

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  16 in total

1.  Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis.

Authors:  A Karahaliou; K Vassiou; N S Arikidis; S Skiadopoulos; T Kanavou; L Costaridou
Journal:  Br J Radiol       Date:  2010-04       Impact factor: 3.039

2.  A computer-aided diagnosis (CAD) scheme for pretreatment prediction of pathological response to neoadjuvant therapy using dynamic contrast-enhanced MRI texture features.

Authors:  Valentina Giannini; Simone Mazzetti; Agnese Marmo; Filippo Montemurro; Daniele Regge; Laura Martincich
Journal:  Br J Radiol       Date:  2017-07-14       Impact factor: 3.039

Review 3.  Magnetic resonance imaging: a potential tool in assessing the addition of hyperthermia to neoadjuvant therapy in patients with locally advanced breast cancer.

Authors:  Oana I Craciunescu; Donald E Thrall; Zeljko Vujaskovic; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2010       Impact factor: 3.914

4.  Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

Authors:  Ka-Loh Li; Savannah C Partridge; Bonnie N Joe; Jessica E Gibbs; Ying Lu; Laura J Esserman; Nola M Hylton
Journal:  Radiology       Date:  2008-07       Impact factor: 11.105

5.  DCE-MRI parameters have potential to predict response of locally advanced breast cancer patients to neoadjuvant chemotherapy and hyperthermia: a pilot study.

Authors:  Oana I Craciunescu; Kimberly L Blackwell; Ellen L Jones; James R Macfall; Daohai Yu; Zeljko Vujaskovic; Terence Z Wong; Vlayka Liotcheva; Eric L Rosen; Leonard R Prosnitz; Thaddeus V Samulski; Mark W Dewhirst
Journal:  Int J Hyperthermia       Date:  2009       Impact factor: 3.914

6.  Assessment of metastatic cervical adenopathy using dynamic contrast-enhanced MR imaging.

Authors:  Nancy J Fischbein; Susan M Noworolski; Roland G Henry; Michael J Kaplan; William P Dillon; Sarah J Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

Review 7.  Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review.

Authors:  Xiangyu Yang; Michael V Knopp
Journal:  J Biomed Biotechnol       Date:  2011-04-26

8.  Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm).

Authors:  Tianwen Xie; Qiufeng Zhao; Caixia Fu; Robert Grimm; Yajia Gu; Weijun Peng
Journal:  Eur Radiol       Date:  2021-09-09       Impact factor: 7.034

9.  Differentiation of breast cancer from fibroadenoma with dual-echo dynamic contrast-enhanced MRI.

Authors:  Shiwei Wang; Zachary Delproposto; Haoyu Wang; Xuewei Ding; Conghua Ji; Bei Wang; Maosheng Xu
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

10.  Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors.

Authors:  Bin Zhang; Lirong Song; Jiandong Yin
Journal:  Front Oncol       Date:  2021-07-08       Impact factor: 6.244

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