Skip to main content
Top
Published in: European Radiology 3/2010

Open Access 01-03-2010 | Breast

Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T

Authors: Carla Meeuwis, Stephanie M. van de Ven, Gerard Stapper, Arancha M. Fernandez Gallardo, Maurice A. A. J. van den Bosch, Willem P. Th. M. Mali, Wouter B. Veldhuis

Published in: European Radiology | Issue 3/2010

Login to get access

Abstract

Objective

The purpose of the study was to evaluate the accuracy of 3.0-T breast MRI interpretation using manual and fully automated kinetic analyses.

Material and methods

Manual MRI interpretation was done on an Advantage Workstation. Retrospectively, all examinations were processed with a computer-aided detection (CAD) system. CAD data sets were interpreted by two experienced breast radiologists and two residents. For each lesion automated analysis of enhancement kinetics was evaluated at 50% and 100% thresholds. Forty-nine malignant and 22 benign lesions were evaluated.

Results

Using threshold enhancement alone, the sensitivity and specificity of CAD were 97.9% and 86.4%, respectively, for the 50% threshold, and 97.9% and 90%, respectively, for the 100% threshold. Manual interpretation by two breast radiologists showed a sensitivity of 84.6% and a specificity of 68.8%. For the same two radiologists the mean sensitivity and specificity for CAD-based interpretation was 90.4% (not significant) and 81.3% (significant at p < 0.05), respectively. With one-way ANOVA no significant differences were found between the two breast radiologists and the two residents together, or between any two readers separately.

Conclusion

CAD-based analysis improved the specificity compared with manual analysis of enhancement. Automated analysis at 50% and 100% thresholds showed a high sensitivity and specificity for readers with varying levels of experience.
Literature
1.
go back to reference Peters NH, Borel Rinkes IH, Zuithoff NP, Mali WP, Moons KG, Peeters PH (2008) Meta-analysis of MR imaging in the diagnosis of breast lesions. Radiology 246:116–124CrossRefPubMed Peters NH, Borel Rinkes IH, Zuithoff NP, Mali WP, Moons KG, Peeters PH (2008) Meta-analysis of MR imaging in the diagnosis of breast lesions. Radiology 246:116–124CrossRefPubMed
2.
go back to reference Lehman CD, Peacock S, Demartini WB, Chen X (2006) A new automated software system to evaluate breast MR examinations: improved specificity without decreased sensitivity. AJR Am J Roentgenol 187:51–56CrossRefPubMed Lehman CD, Peacock S, Demartini WB, Chen X (2006) A new automated software system to evaluate breast MR examinations: improved specificity without decreased sensitivity. AJR Am J Roentgenol 187:51–56CrossRefPubMed
3.
go back to reference Kuhl CK, Jost P, Morakkabati N, Zivanovic O, Schild HH, Gieseke J (2006) Contrast-enhanced MR imaging of the breast at 3.0 and 1.5 T in the same patients: initial experience. Radiology 239:666–676CrossRefPubMed Kuhl CK, Jost P, Morakkabati N, Zivanovic O, Schild HH, Gieseke J (2006) Contrast-enhanced MR imaging of the breast at 3.0 and 1.5 T in the same patients: initial experience. Radiology 239:666–676CrossRefPubMed
4.
go back to reference Ikeda DM, Hylton NM, Kinkel K et al (2001) Development, standardization, and testing of a lexicon for reporting contrast-enhanced breast magnetic resonance imaging studies. J Magn Reson Imaging 13:889–895CrossRefPubMed Ikeda DM, Hylton NM, Kinkel K et al (2001) Development, standardization, and testing of a lexicon for reporting contrast-enhanced breast magnetic resonance imaging studies. J Magn Reson Imaging 13:889–895CrossRefPubMed
5.
go back to reference Williams TC, DeMartini WB, Partridge SC, Peacock S, Lehman CD (2007) Breast MR imaging: computer-aided evaluation program for discriminating benign from malignant lesions. Radiology 244:94–103CrossRefPubMed Williams TC, DeMartini WB, Partridge SC, Peacock S, Lehman CD (2007) Breast MR imaging: computer-aided evaluation program for discriminating benign from malignant lesions. Radiology 244:94–103CrossRefPubMed
6.
go back to reference Leong CS, Daniel BL, Herfkens RJ et al (2000) Characterization of breast lesion morphology with delayed 3DSSMT: an adjunct to dynamic breast MRI. J Magn Reson Imaging 11:87–96CrossRefPubMed Leong CS, Daniel BL, Herfkens RJ et al (2000) Characterization of breast lesion morphology with delayed 3DSSMT: an adjunct to dynamic breast MRI. J Magn Reson Imaging 11:87–96CrossRefPubMed
7.
go back to reference Deurloo EE, Muller SH, Peterse JL, Besnard AP, Gilhuijs KG (2005) Clinically and mammographically occult breast lesions on MR images: potential effect of computerized assessment on clinical reading. Radiology 234:693–701CrossRefPubMed Deurloo EE, Muller SH, Peterse JL, Besnard AP, Gilhuijs KG (2005) Clinically and mammographically occult breast lesions on MR images: potential effect of computerized assessment on clinical reading. Radiology 234:693–701CrossRefPubMed
8.
go back to reference Deurloo EE, Peterse JL, Rutgers EJ, Besnard AP, Muller SH, Gilhuijs KG (2005) Additional breast lesions in patients eligible for breast-conserving therapy by MRI: impact on preoperative management and potential benefit of computerised analysis. Eur J Cancer 41:1393–1401CrossRefPubMed Deurloo EE, Peterse JL, Rutgers EJ, Besnard AP, Muller SH, Gilhuijs KG (2005) Additional breast lesions in patients eligible for breast-conserving therapy by MRI: impact on preoperative management and potential benefit of computerised analysis. Eur J Cancer 41:1393–1401CrossRefPubMed
9.
go back to reference Wiener JI, Schilling KJ, Adami C, Obuchowski NA (2005) Assessment of suspected breast cancer by MRI: a prospective clinical trial using a combined kinetic and morphologic analysis. Am J Roentgenol 184:878–886 Wiener JI, Schilling KJ, Adami C, Obuchowski NA (2005) Assessment of suspected breast cancer by MRI: a prospective clinical trial using a combined kinetic and morphologic analysis. Am J Roentgenol 184:878–886
10.
go back to reference Kurz KD, Steinhaus D, Klar V, Cohnen M, Wittsack HJ, Saleh A, Mödder U, Blondin D (2009) Assessment of three different software systems in the evaluation of dynamic MRI of the breast. Eur J Radiol 69(2):300–307CrossRefPubMed Kurz KD, Steinhaus D, Klar V, Cohnen M, Wittsack HJ, Saleh A, Mödder U, Blondin D (2009) Assessment of three different software systems in the evaluation of dynamic MRI of the breast. Eur J Radiol 69(2):300–307CrossRefPubMed
11.
go back to reference Meinel LA, Stolpen AH, Berbaum KS, Fajardo LL, Reinhardt JM (2007) Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system. J Magn Reson Imaging 25:89–95CrossRefPubMed Meinel LA, Stolpen AH, Berbaum KS, Fajardo LL, Reinhardt JM (2007) Breast MRI lesion classification: improved performance of human readers with a backpropagation neural network computer-aided diagnosis (CAD) system. J Magn Reson Imaging 25:89–95CrossRefPubMed
Metadata
Title
Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T
Authors
Carla Meeuwis
Stephanie M. van de Ven
Gerard Stapper
Arancha M. Fernandez Gallardo
Maurice A. A. J. van den Bosch
Willem P. Th. M. Mali
Wouter B. Veldhuis
Publication date
01-03-2010
Publisher
Springer-Verlag
Published in
European Radiology / Issue 3/2010
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-009-1573-5

Other articles of this Issue 3/2010

European Radiology 3/2010 Go to the issue