Literature DB >> 9691895

Improved diagnostic accuracy in dynamic contrast enhanced MRI of the breast by combined quantitative and qualitative analysis.

P F Liu1, J F Debatin, R F Caduff, G Kacl, E Garzoli, G P Krestin.   

Abstract

To develop an optimized interpretation strategy of dynamic contrast enhanced breast MRI based on a combination of quantitative and qualitative criteria, the features of 120 histopathologically verified lesions were retrospectively analysed on contrast enhanced dynamically acquired (before and 1, 2, 4 and 7 min following injection of 0.2 mmol kg-1 gadolinium-DOTA) three-dimensional gradient echo images. Quantitative criteria, based on relative signal intensity measurements and qualitative morphological features, including lesion shape, margins and enhancement patterns were analysed in regard to differentiating malignant (n = 70) from benign (n = 50) lesions. Quantitative assessment of enhancement profiles was most accurate when analysis was based on early 1 min measurements. Using a 90% threshold, sensitivity and specificity in detecting breast cancer were 83% and 66%, respectively. When based on qualitative morphological analysis alone, sensitivity and specificity were 83% and 54%. Combined quantitative and qualitative assessment yielded a considerably higher sensitivity, specificity and accuracy of 93%, 74% and 85%, respectively. In conclusion, results from dynamic contrast enhanced breast MRI can be improved by basing the interpretation on both quantitative and qualitative criteria.

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Year:  1998        PMID: 9691895     DOI: 10.1259/bjr.71.845.9691895

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  18 in total

1.  Diffusion-weighted magnetic resonance imaging in focal breast lesions: analysis of 78 cases with pathological correlation.

Authors:  F Fornasa; L Pinali; A Gasparini; E Toniolli; S Montemezzi
Journal:  Radiol Med       Date:  2010-10-06       Impact factor: 3.469

2.  Low-field versus high-field MRI in diagnosing breast disorders.

Authors:  Eija Pääkkö; Heli Reinikainen; Eija-Leena Lindholm; Tarja Rissanen
Journal:  Eur Radiol       Date:  2005-02-12       Impact factor: 5.315

3.  Cluster analysis of signal-intensity time course in dynamic breast MRI: does unsupervised vector quantization help to evaluate small mammographic lesions?

Authors:  Gerda Leinsinger; Thomas Schlossbauer; Michael Scherr; Oliver Lange; Maximilian Reiser; Axel Wismüller
Journal:  Eur Radiol       Date:  2006-01-18       Impact factor: 5.315

4.  Breast imaging in the young: the role of magnetic resonance imaging in breast cancer screening, diagnosis and follow-up.

Authors:  Dorria Saleh Salem; Rasha Mohamed Kamal; Sahar Mahmoud Mansour; Lamiaa Adel Salah; Rasha Wessam
Journal:  J Thorac Dis       Date:  2013-06       Impact factor: 2.895

5.  The Role of MR Mammography in Differentiating Benign from Malignant in Suspicious Breast Masses.

Authors:  Padhmini Balasubramanian; Vijaya Karthikeyan Murugesan; Vinoth Boopathy
Journal:  J Clin Diagn Res       Date:  2016-09-01

6.  Breast imaging: A survey.

Authors:  Subbhuraam Vinitha Sree; Eddie Yin-Kwee Ng; Rajendra U Acharya; Oliver Faust
Journal:  World J Clin Oncol       Date:  2011-04-10

7.  Follow-up design of unexpected enhancing lesions on preoperative MRI of breast cancer patients.

Authors:  Joo Yeon Cheung; Jin Hee Moon
Journal:  Diagn Interv Radiol       Date:  2015 Jan-Feb       Impact factor: 2.630

8.  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

9.  Effect of the enhancement threshold on the computer-aided detection of breast cancer using MRI.

Authors:  Jacob E D Levman; Petrina Causer; Ellen Warner; Anne L Martel
Journal:  Acad Radiol       Date:  2009-06-09       Impact factor: 3.173

10.  Accuracy of the Fischer scoring system and the Breast Imaging Reporting and Data System in identification of malignant breast lesions.

Authors:  Hanaa Al-Khawari; Reji Athyal; Agnes Kovacs; Mervat Al-Saleh; John Patrick Madda
Journal:  Ann Saudi Med       Date:  2009 Jul-Aug       Impact factor: 1.526

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