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Published in: European Radiology 5/2017

01-05-2017 | Breast

Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values

Authors: Hubert Bickel, Katja Pinker, Stephan Polanec, Heinrich Magometschnigg, Georg Wengert, Claudio Spick, Wolfgang Bogner, Zsuzsanna Bago-Horvath, Thomas H. Helbich, Pascal Baltzer

Published in: European Radiology | Issue 5/2017

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Abstract

Objectives

To investigate the influence of region-of-interest (ROI) placement and different apparent diffusion coefficient (ADC) parameters on ADC values, diagnostic performance, reproducibility and measurement time in breast tumours.

Methods

In this IRB-approved, retrospective study, 149 histopathologically proven breast tumours (109 malignant, 40 benign) in 147 women (mean age 53.2) were investigated. Three radiologists independently measured minimum, mean and maximum ADC, each using three ROI placement approaches:1 – small 2D-ROI, 2 – large 2D-ROI and 3 – 3D-ROI covering the whole lesion. One reader performed all measurements twice. Median ADC values, diagnostic performance, reproducibility, and measurement time were calculated and compared between all combinations of ROI placement approaches and ADC parameters.

Results

Median ADC values differed significantly between the ROI placement approaches (p < .001). Minimum ADC showed the best diagnostic performance (AUC .928–.956), followed by mean ADC obtained from 2D ROIs (.926–.94). Minimum and mean ADC showed high intra- (ICC .85–.94) and inter-reader reproducibility (ICC .74–.94). Median measurement time was significantly shorter for the 2D ROIs (p < .001).

Conclusions

ROI placement significantly influences ADC values measured in breast tumours. Minimum and mean ADC acquired from 2D-ROIs are useful for the differentiation of benign and malignant breast lesions, and are highly reproducible, with rapid measurement.

Key Points

• Region of interest placement significantly influences apparent diffusion coefficient of breast tumours.
• Minimum and mean apparent diffusion coefficient perform best and are reproducible.
• 2D regions of interest perform best and provide rapid measurement times.
Appendix
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Literature
1.
go back to reference Bogner W, Pinker K, Zaric O et al (2015) Bilateral diffusion-weighted MR imaging of breast tumors with submillimeter resolution using readout-segmented echo-planar imaging at 7 T. Radiology 274:74–84CrossRefPubMed Bogner W, Pinker K, Zaric O et al (2015) Bilateral diffusion-weighted MR imaging of breast tumors with submillimeter resolution using readout-segmented echo-planar imaging at 7 T. Radiology 274:74–84CrossRefPubMed
2.
go back to reference Bickel H, Pinker-Domenig K, Bogner W et al (2015) Quantitative apparent diffusion coefficient as a noninvasive imaging biomarker for the differentiation of invasive breast cancer and ductal carcinoma in situ. Invest Radiol 50:95–100CrossRefPubMed Bickel H, Pinker-Domenig K, Bogner W et al (2015) Quantitative apparent diffusion coefficient as a noninvasive imaging biomarker for the differentiation of invasive breast cancer and ductal carcinoma in situ. Invest Radiol 50:95–100CrossRefPubMed
3.
go back to reference Woodhams R, Matsunaga K, Kan S et al (2005) ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci 4:35–42CrossRefPubMed Woodhams R, Matsunaga K, Kan S et al (2005) ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci 4:35–42CrossRefPubMed
4.
go back to reference Pinker K, Bickel H, Helbich TH et al (2013) Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions. Eur Radiol 23:1791–1802CrossRefPubMed Pinker K, Bickel H, Helbich TH et al (2013) Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions. Eur Radiol 23:1791–1802CrossRefPubMed
5.
go back to reference Spick C, Pinker-Domenig K, Rudas M, Helbich TH, Baltzer PA (2014) MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies. Eur Radiol 24:1204–1210CrossRefPubMed Spick C, Pinker-Domenig K, Rudas M, Helbich TH, Baltzer PA (2014) MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies. Eur Radiol 24:1204–1210CrossRefPubMed
6.
go back to reference Sun K, Chai W, Fu C et al (2015) Diffusion-weighted imaging-guided MR spectroscopy in breast lesions using readout-segmented echo-planar imaging. Eur Radiol. doi:10.1007/s00330-015-4000-0 Sun K, Chai W, Fu C et al (2015) Diffusion-weighted imaging-guided MR spectroscopy in breast lesions using readout-segmented echo-planar imaging. Eur Radiol. doi:10.​1007/​s00330-015-4000-0
7.
go back to reference Woodhams R, Matsunaga K, Iwabuchi K et al (2005) Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 29:644–649CrossRefPubMed Woodhams R, Matsunaga K, Iwabuchi K et al (2005) Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 29:644–649CrossRefPubMed
8.
go back to reference Baltzer PA, Schafer A, Dietzel M et al (2011) Diffusion tensor magnetic resonance imaging of the breast: a pilot study. Eur Radiol 21:1–10CrossRefPubMed Baltzer PA, Schafer A, Dietzel M et al (2011) Diffusion tensor magnetic resonance imaging of the breast: a pilot study. Eur Radiol 21:1–10CrossRefPubMed
9.
go back to reference Dorrius MD, Dijkstra H, Oudkerk M, Sijens PE (2014) Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis. Eur Radiol 24:2835–2847CrossRefPubMed Dorrius MD, Dijkstra H, Oudkerk M, Sijens PE (2014) Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis. Eur Radiol 24:2835–2847CrossRefPubMed
10.
go back to reference Lourenco AP, Donegan L, Khalil H, Mainiero MB (2014) Improving outcomes of screening breast MRI with practice evolution: initial clinical experience with 3T compared to 1.5T. J Magn Reson Imaging 39:535–539CrossRefPubMed Lourenco AP, Donegan L, Khalil H, Mainiero MB (2014) Improving outcomes of screening breast MRI with practice evolution: initial clinical experience with 3T compared to 1.5T. J Magn Reson Imaging 39:535–539CrossRefPubMed
11.
go back to reference Gruber S, Minarikova L, Pinker K et al (2016) Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison. Eur Radiol 26:1466–1473CrossRefPubMed Gruber S, Minarikova L, Pinker K et al (2016) Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison. Eur Radiol 26:1466–1473CrossRefPubMed
12.
go back to reference Bogner W, Gruber S, Pinker K et al (2009) Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis? Radiology 253:341–351CrossRefPubMed Bogner W, Gruber S, Pinker K et al (2009) Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis? Radiology 253:341–351CrossRefPubMed
13.
go back to reference Barentsz MW, Taviani V, Chang JM et al (2015) Assessment of tumor morphology on diffusion-weighted (DWI) breast MRI: diagnostic value of reduced field of view DWI. J Magn Reson Imaging 42:1656–1665CrossRefPubMedPubMedCentral Barentsz MW, Taviani V, Chang JM et al (2015) Assessment of tumor morphology on diffusion-weighted (DWI) breast MRI: diagnostic value of reduced field of view DWI. J Magn Reson Imaging 42:1656–1665CrossRefPubMedPubMedCentral
14.
go back to reference Clauser P, Marcon M, Maieron M, Zuiani C, Bazzocchi M, Baltzer PA (2015) Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? an inter- and intra-reader agreement study. Eur Radiol. doi:10.1007/s00330-015-4051-2 Clauser P, Marcon M, Maieron M, Zuiani C, Bazzocchi M, Baltzer PA (2015) Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? an inter- and intra-reader agreement study. Eur Radiol. doi:10.​1007/​s00330-015-4051-2
15.
go back to reference Lambregts DM, Beets GL, Maas M et al (2011) Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability. Eur Radiol 21:2567–2574CrossRefPubMedPubMedCentral Lambregts DM, Beets GL, Maas M et al (2011) Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability. Eur Radiol 21:2567–2574CrossRefPubMedPubMedCentral
16.
go back to reference Hatakenaka M, Soeda H, Yabuuchi H et al (2008) Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 7:23–29CrossRefPubMed Hatakenaka M, Soeda H, Yabuuchi H et al (2008) Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 7:23–29CrossRefPubMed
17.
go back to reference Choi SY, Chang YW, Park HJ, Kim HJ, Hong SS, Seo DY (2012) Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol 85:474–479CrossRef Choi SY, Chang YW, Park HJ, Kim HJ, Hong SS, Seo DY (2012) Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol 85:474–479CrossRef
18.
go back to reference Iacconi C, Giannelli M, Marini C et al (2010) The role of mean diffusivity (MD) as a predictive index of the response to chemotherapy in locally advanced breast cancer: a preliminary study. Eur Radiol 20:303–308CrossRefPubMed Iacconi C, Giannelli M, Marini C et al (2010) The role of mean diffusivity (MD) as a predictive index of the response to chemotherapy in locally advanced breast cancer: a preliminary study. Eur Radiol 20:303–308CrossRefPubMed
19.
go back to reference Mori N, Ota H, Mugikura S et al (2013) Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters. Eur Radiol 23:2705–2712CrossRefPubMed Mori N, Ota H, Mugikura S et al (2013) Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters. Eur Radiol 23:2705–2712CrossRefPubMed
20.
go back to reference Hirano M, Satake H, Ishigaki S, Ikeda M, Kawai H, Naganawa S (2012) Diffusion-weighted imaging of breast masses: comparison of diagnostic performance using various apparent diffusion coefficient parameters. AJR Am J Roentgenol 198:717–722CrossRefPubMed Hirano M, Satake H, Ishigaki S, Ikeda M, Kawai H, Naganawa S (2012) Diffusion-weighted imaging of breast masses: comparison of diagnostic performance using various apparent diffusion coefficient parameters. AJR Am J Roentgenol 198:717–722CrossRefPubMed
21.
go back to reference Partridge SC, Rahbar H, Murthy R et al (2011) Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics. Magn Reson Med 65:1759–1767CrossRefPubMedPubMedCentral Partridge SC, Rahbar H, Murthy R et al (2011) Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics. Magn Reson Med 65:1759–1767CrossRefPubMedPubMedCentral
22.
go back to reference Pinker K, Bogner W, Baltzer P et al (2014) Improved diagnostic accuracy with multiparametric magnetic resonance imaging of the breast using dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging, and 3-dimensional proton magnetic resonance spectroscopic imaging. Invest Radiol 49:421–430CrossRefPubMed Pinker K, Bogner W, Baltzer P et al (2014) Improved diagnostic accuracy with multiparametric magnetic resonance imaging of the breast using dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging, and 3-dimensional proton magnetic resonance spectroscopic imaging. Invest Radiol 49:421–430CrossRefPubMed
23.
go back to reference Sardanelli F, Boetes C, Borisch B et al (2010) Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer 46:1296–1316CrossRefPubMed Sardanelli F, Boetes C, Borisch B et al (2010) Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer 46:1296–1316CrossRefPubMed
24.
go back to reference Rosset A, Spadola L, Pysher L, Ratib O (2006) Informatics in radiology (infoRAD): navigating the fifth dimension: innovative interface for multidimensional multimodality image navigation. Radiographics 26:299–308CrossRefPubMed Rosset A, Spadola L, Pysher L, Ratib O (2006) Informatics in radiology (infoRAD): navigating the fifth dimension: innovative interface for multidimensional multimodality image navigation. Radiographics 26:299–308CrossRefPubMed
25.
go back to reference Perry N, Broeders M, de Wolf C, Tornberg S, Holland R, von Karsa L (2008) European guidelines for quality assurance in breast cancer screening and diagnosis. Fourth edition--summary document. Ann Oncol 19:614–622CrossRefPubMed Perry N, Broeders M, de Wolf C, Tornberg S, Holland R, von Karsa L (2008) European guidelines for quality assurance in breast cancer screening and diagnosis. Fourth edition--summary document. Ann Oncol 19:614–622CrossRefPubMed
26.
go back to reference Vergara IA, Norambuena T, Ferrada E, Slater AW, Melo F (2008) StAR: a simple tool for the statistical comparison of ROC curves. BMC Bioinform 9:265CrossRef Vergara IA, Norambuena T, Ferrada E, Slater AW, Melo F (2008) StAR: a simple tool for the statistical comparison of ROC curves. BMC Bioinform 9:265CrossRef
27.
go back to reference Arponent O, Sudah M, Masarwah A (2015) Diffusion-weighted imaging in 3.0 Tesla breast MRI: diagnostic performance and tumor characterization using small subregions vs. whole tumor regions of interest. PLoS One 10:e0138702CrossRefPubMedPubMedCentral Arponent O, Sudah M, Masarwah A (2015) Diffusion-weighted imaging in 3.0 Tesla breast MRI: diagnostic performance and tumor characterization using small subregions vs. whole tumor regions of interest. PLoS One 10:e0138702CrossRefPubMedPubMedCentral
28.
go back to reference Nogueira L, Brandao S, Matos E et al (2015) Region of interest demarcation for quantification of the apparent diffusion coefficient in breast lesions and its interobserver variability. Diagn Interv Radiol 21:123–127CrossRefPubMedPubMedCentral Nogueira L, Brandao S, Matos E et al (2015) Region of interest demarcation for quantification of the apparent diffusion coefficient in breast lesions and its interobserver variability. Diagn Interv Radiol 21:123–127CrossRefPubMedPubMedCentral
29.
go back to reference Min Q, Shao K, Zhai L et al (2015) Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging. World J Surg Oncol 13:32CrossRefPubMedPubMedCentral Min Q, Shao K, Zhai L et al (2015) Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging. World J Surg Oncol 13:32CrossRefPubMedPubMedCentral
30.
go back to reference Guo Y, Cai YQ, Cai ZL et al (2002) Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 16:172–178CrossRefPubMed Guo Y, Cai YQ, Cai ZL et al (2002) Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 16:172–178CrossRefPubMed
31.
go back to reference Kul S, Eyuboglu I, Cansu A, Alhan E (2014) Diagnostic efficacy of the diffusion weighted imaging in the characterization of different types of breast lesions. J Magn Reson Imaging 40:1158–1164CrossRefPubMed Kul S, Eyuboglu I, Cansu A, Alhan E (2014) Diagnostic efficacy of the diffusion weighted imaging in the characterization of different types of breast lesions. J Magn Reson Imaging 40:1158–1164CrossRefPubMed
32.
go back to reference Partridge SC, Mullins CD, Kurland BF et al (2010) Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size. AJR Am J Roentgenol 194:1664–1673CrossRefPubMed Partridge SC, Mullins CD, Kurland BF et al (2010) Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size. AJR Am J Roentgenol 194:1664–1673CrossRefPubMed
33.
go back to reference Iima M, Le Bihan D, Okumura R et al (2011) Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study. Radiology 260:364–372CrossRefPubMed Iima M, Le Bihan D, Okumura R et al (2011) Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study. Radiology 260:364–372CrossRefPubMed
34.
go back to reference (2010) European Society of Radiology. white paper on imaging biomarkers. Insights Imag 1:42–45 (2010) European Society of Radiology. white paper on imaging biomarkers. Insights Imag 1:42–45
35.
go back to reference Bogner W, Pinker-Domenig K, Bickel H et al (2012) Readout-segmented echo-planar imaging improves the diagnostic performance of diffusion-weighted MR breast examinations at 3.0 T. Radiology 263:64–76CrossRefPubMed Bogner W, Pinker-Domenig K, Bickel H et al (2012) Readout-segmented echo-planar imaging improves the diagnostic performance of diffusion-weighted MR breast examinations at 3.0 T. Radiology 263:64–76CrossRefPubMed
36.
go back to reference Dijkstra H, Dorrius MD, Wielema M et al (2016) Semi-automated quantitative intravoxel incoherent motion analysis and its implementation in breast diffusion-weighted imaging. J Magn Reson Imaging 43:1122–1131CrossRefPubMed Dijkstra H, Dorrius MD, Wielema M et al (2016) Semi-automated quantitative intravoxel incoherent motion analysis and its implementation in breast diffusion-weighted imaging. J Magn Reson Imaging 43:1122–1131CrossRefPubMed
37.
go back to reference Giannotti E, Waugh S, Priba L, Davis Z, Crowe E, Vinnicombe S (2015) Assessment and quantification of sources of variability in breast apparent diffusion coefficient (ADC) measurements at diffusion weighted imaging. Eur J Radiol 84:1729–1736CrossRefPubMed Giannotti E, Waugh S, Priba L, Davis Z, Crowe E, Vinnicombe S (2015) Assessment and quantification of sources of variability in breast apparent diffusion coefficient (ADC) measurements at diffusion weighted imaging. Eur J Radiol 84:1729–1736CrossRefPubMed
38.
go back to reference Pereira FP, Martins G, Figueiredo E et al (2009) Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values. AJR Am J Roentgenol 193:1030–1035CrossRefPubMed Pereira FP, Martins G, Figueiredo E et al (2009) Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values. AJR Am J Roentgenol 193:1030–1035CrossRefPubMed
39.
go back to reference Baltzer PAT, Renz DM, Herrmann KH et al (2009) Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques. Eur Radiol 19:1612–1620CrossRefPubMed Baltzer PAT, Renz DM, Herrmann KH et al (2009) Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques. Eur Radiol 19:1612–1620CrossRefPubMed
40.
go back to reference Lo GG, Ai V, Chan JK et al (2009) Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T. J Comput Assist Tomogr 33:63–69CrossRefPubMed Lo GG, Ai V, Chan JK et al (2009) Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T. J Comput Assist Tomogr 33:63–69CrossRefPubMed
41.
go back to reference Kamitani T, Matsuo Y, Yabuuchi H et al (2013) Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer. Magn Reson Med Sci 12:193–199CrossRefPubMed Kamitani T, Matsuo Y, Yabuuchi H et al (2013) Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer. Magn Reson Med Sci 12:193–199CrossRefPubMed
Metadata
Title
Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values
Authors
Hubert Bickel
Katja Pinker
Stephan Polanec
Heinrich Magometschnigg
Georg Wengert
Claudio Spick
Wolfgang Bogner
Zsuzsanna Bago-Horvath
Thomas H. Helbich
Pascal Baltzer
Publication date
01-05-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 5/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-016-4564-3

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