Literature DB >> 21063709

Kinetic analysis of lesions without mass effect on breast MRI using manual and computer-assisted methods.

Tibor Vag1, Pascal A T Baltzer, Matthias Dietzel, Ramy Zoubi, Mieczyslaw Gajda, Oumar Camara, Werner A Kaiser.   

Abstract

OBJECTIVE: To analyse the kinetic characteristics of lesions without mass effect in dynamic breast MRI using manual and computer assisted methods.
METHODS: The enhancement pattern of 82 histopathologically verified lesions without mass effect (36 malignant, 46 benign) was evaluated on breast MRI using manual placement of a region of interest. Commercially available computer analysis software automatically assessed volume enhancement characteristics of a lesion voxelwise. Kinetic features evaluated included classification of the signal-intensity time curve as washout, plateau or persistent enhancement.
RESULTS: Unlike manual ROI placement, computer-aided analysis demonstrated a significant difference in enhancement pattern between benign (washout: 32.6%, plateau: 32.6%, persistent: 34.8%) and malignant lesions without mass effect (77.1%, 8.6%, 14.3% respectively, P < 0.01, two-sided Chi-squared test) following initial rapid signal increase. Mean percentage of washout voxel volumes within a lesion was significantly higher in malignant lesions than in benign lesions (11.9% +/-12.7 (SD) vs. 6.9% +/-11.3 (SD), P < 0.01, Mann-Whitney U Test). Conversely, the mean percentage of persistent voxel volumes was significantly lower in malignant lesions than in benign lesions (60.1% +/-21.1 (SD) vs. 79% +/-23 (SD), P < 0.01, Mann-Whitney U Test).
CONCLUSION: Computer-assisted enhancement pattern analysis might have diagnostic benefit in the evaluation of lesions without mass effect.

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Year:  2010        PMID: 21063709     DOI: 10.1007/s00330-010-2001-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  22 in total

1.  Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

Authors:  C K Kuhl; P Mielcareck; S Klaschik; C Leutner; E Wardelmann; J Gieseke; H H Schild
Journal:  Radiology       Date:  1999-04       Impact factor: 11.105

2.  False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.

Authors:  Pascal A T Baltzer; Matthias Benndorf; Matthias Dietzel; Mieczyslaw Gajda; Ingo B Runnebaum; Werner A Kaiser
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

3.  Potential MRI interpretation model: differentiation of benign from malignant breast masses.

Authors:  Ansgar Malich; Dorothee R Fischer; Susanne Wurdinger; Joachim Boettcher; Christiane Marx; Mirjam Facius; Werner A Kaiser
Journal:  AJR Am J Roentgenol       Date:  2005-10       Impact factor: 3.959

4.  DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?

Authors:  Sanaz A Jansen; Xiaobing Fan; Gregory S Karczmar; Hiroyuki Abe; Robert A Schmidt; Maryellen Giger; Gillian M Newstead
Journal:  Med Phys       Date:  2008-07       Impact factor: 4.071

5.  Clinical MR-mammography: are computer-assisted methods superior to visual or manual measurements for curve type analysis? A systematic approach.

Authors:  Pascal Andreas Thomas Baltzer; Christian Freiberg; Sebastian Beger; Tibor Vag; Matthias Dietzel; Aimee B Herzog; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Acad Radiol       Date:  2009-06-11       Impact factor: 3.173

6.  Non-mass-like enhancement on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.

Authors:  Hidetake Yabuuchi; Yoshio Matsuo; Takeshi Kamitani; Taro Setoguchi; Takashi Okafuji; Hiroyasu Soeda; Shuji Sakai; Masamitsu Hatakenaka; Makoto Kubo; Eriko Tokunaga; Hidetaka Yamamoto; Hiroshi Honda
Journal:  Eur J Radiol       Date:  2009-09-30       Impact factor: 3.528

7.  Suspect breast lesions: findings at dynamic gadolinium-enhanced MR imaging correlated with mammographic and pathologic features.

Authors:  P C Stomper; S Herman; D L Klippenstein; J S Winston; S B Edge; M A Arredondo; R V Mazurchuk; L E Blumenson
Journal:  Radiology       Date:  1995-11       Impact factor: 11.105

8.  Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer.

Authors:  Wendie A Berg; Lorena Gutierrez; Moriel S NessAiver; W Bradford Carter; Mythreyi Bhargavan; Rebecca S Lewis; Olga B Ioffe
Journal:  Radiology       Date:  2004-10-14       Impact factor: 11.105

9.  Ductal carcinoma in situ: MR imaging-histopathologic correlation.

Authors:  R Gilles; B Zafrani; J M Guinebretière; M Meunier; O Lucidarme; A A Tardivon; F Rochard; D Vanel; S Neuenschwander; R Arriagada
Journal:  Radiology       Date:  1995-08       Impact factor: 11.105

10.  Value of MR imaging in clinical evaluation of breast lesions.

Authors:  M Kristoffersen Wiberg; P Aspelin; L Perbeck; B Boné
Journal:  Acta Radiol       Date:  2002-05       Impact factor: 1.990

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  2 in total

1.  [Diffusion-weighted breast imaging. Clinical implementation procedure].

Authors:  E Wenkel; M Uder; R Janka
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

Review 2.  How to use the Kaiser score as a clinical decision rule for diagnosis in multiparametric breast MRI: a pictorial essay.

Authors:  Matthias Dietzel; Pascal A T Baltzer
Journal:  Insights Imaging       Date:  2018-04-03
  2 in total

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