Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study

Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-con...
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Autor*in:	Clauser, P. [verfasserIn] Pinker, K. Helbich, T. H. Kapetas, P. Bernathova, M. Baltzer, P. A. T.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Breast MRI Dixon technique Fat suppression 3 Tesla, Contrast enhanced

Anmerkung:	© European Society of Radiology 2014

Übergeordnetes Werk:	Enthalten in: European radiology - Berlin : Springer, 1991, 24(2014), 9 vom: 04. Mai, Seite 2213-2219
Übergeordnetes Werk:	volume:24 ; year:2014 ; number:9 ; day:04 ; month:05 ; pages:2213-2219

Links:	Volltext

DOI / URN:	10.1007/s00330-014-3189-7

Katalog-ID:	SPR004015789

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100	1		\|a Clauser, P. \|e verfasserin \|4 aut
245	1	0	\|a Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
264		1	\|c 2014
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520			\|a Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation
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650		4	\|a Dixon technique \|7 (dpeaa)DE-He213
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650		4	\|a 3 Tesla, Contrast enhanced \|7 (dpeaa)DE-He213
700	1		\|a Pinker, K. \|4 aut
700	1		\|a Helbich, T. H. \|4 aut
700	1		\|a Kapetas, P. \|4 aut
700	1		\|a Bernathova, M. \|4 aut
700	1		\|a Baltzer, P. A. T. \|4 aut
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912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
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912			\|a GBV_ILN_267
912			\|a GBV_ILN_281
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912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
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912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
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912			\|a GBV_ILN_2048
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publishDate	2014
allfields	10.1007/s00330-014-3189-7 doi (DE-627)SPR004015789 (SPR)s00330-014-3189-7-e DE-627 ger DE-627 rakwb eng Clauser, P. verfasserin aut Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © European Society of Radiology 2014 Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation Breast MRI (dpeaa)DE-He213 Dixon technique (dpeaa)DE-He213 Fat suppression (dpeaa)DE-He213 3 Tesla, Contrast enhanced (dpeaa)DE-He213 Pinker, K. aut Helbich, T. H. aut Kapetas, P. aut Bernathova, M. aut Baltzer, P. A. T. aut Enthalten in European radiology Berlin : Springer, 1991 24(2014), 9 vom: 04. Mai, Seite 2213-2219 (DE-627)268757526 (DE-600)1472718-3 1432-1084 nnns volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219 https://dx.doi.org/10.1007/s00330-014-3189-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2014 9 04 05 2213-2219
spelling	10.1007/s00330-014-3189-7 doi (DE-627)SPR004015789 (SPR)s00330-014-3189-7-e DE-627 ger DE-627 rakwb eng Clauser, P. verfasserin aut Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © European Society of Radiology 2014 Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation Breast MRI (dpeaa)DE-He213 Dixon technique (dpeaa)DE-He213 Fat suppression (dpeaa)DE-He213 3 Tesla, Contrast enhanced (dpeaa)DE-He213 Pinker, K. aut Helbich, T. H. aut Kapetas, P. aut Bernathova, M. aut Baltzer, P. A. T. aut Enthalten in European radiology Berlin : Springer, 1991 24(2014), 9 vom: 04. Mai, Seite 2213-2219 (DE-627)268757526 (DE-600)1472718-3 1432-1084 nnns volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219 https://dx.doi.org/10.1007/s00330-014-3189-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2014 9 04 05 2213-2219
allfields_unstemmed	10.1007/s00330-014-3189-7 doi (DE-627)SPR004015789 (SPR)s00330-014-3189-7-e DE-627 ger DE-627 rakwb eng Clauser, P. verfasserin aut Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © European Society of Radiology 2014 Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation Breast MRI (dpeaa)DE-He213 Dixon technique (dpeaa)DE-He213 Fat suppression (dpeaa)DE-He213 3 Tesla, Contrast enhanced (dpeaa)DE-He213 Pinker, K. aut Helbich, T. H. aut Kapetas, P. aut Bernathova, M. aut Baltzer, P. A. T. aut Enthalten in European radiology Berlin : Springer, 1991 24(2014), 9 vom: 04. Mai, Seite 2213-2219 (DE-627)268757526 (DE-600)1472718-3 1432-1084 nnns volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219 https://dx.doi.org/10.1007/s00330-014-3189-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2014 9 04 05 2213-2219
allfieldsGer	10.1007/s00330-014-3189-7 doi (DE-627)SPR004015789 (SPR)s00330-014-3189-7-e DE-627 ger DE-627 rakwb eng Clauser, P. verfasserin aut Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © European Society of Radiology 2014 Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation Breast MRI (dpeaa)DE-He213 Dixon technique (dpeaa)DE-He213 Fat suppression (dpeaa)DE-He213 3 Tesla, Contrast enhanced (dpeaa)DE-He213 Pinker, K. aut Helbich, T. H. aut Kapetas, P. aut Bernathova, M. aut Baltzer, P. A. T. aut Enthalten in European radiology Berlin : Springer, 1991 24(2014), 9 vom: 04. Mai, Seite 2213-2219 (DE-627)268757526 (DE-600)1472718-3 1432-1084 nnns volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219 https://dx.doi.org/10.1007/s00330-014-3189-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2014 9 04 05 2213-2219
allfieldsSound	10.1007/s00330-014-3189-7 doi (DE-627)SPR004015789 (SPR)s00330-014-3189-7-e DE-627 ger DE-627 rakwb eng Clauser, P. verfasserin aut Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © European Society of Radiology 2014 Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation Breast MRI (dpeaa)DE-He213 Dixon technique (dpeaa)DE-He213 Fat suppression (dpeaa)DE-He213 3 Tesla, Contrast enhanced (dpeaa)DE-He213 Pinker, K. aut Helbich, T. H. aut Kapetas, P. aut Bernathova, M. aut Baltzer, P. A. T. aut Enthalten in European radiology Berlin : Springer, 1991 24(2014), 9 vom: 04. Mai, Seite 2213-2219 (DE-627)268757526 (DE-600)1472718-3 1432-1084 nnns volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219 https://dx.doi.org/10.1007/s00330-014-3189-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 24 2014 9 04 05 2213-2219
language	English
source	Enthalten in European radiology 24(2014), 9 vom: 04. Mai, Seite 2213-2219 volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219
sourceStr	Enthalten in European radiology 24(2014), 9 vom: 04. Mai, Seite 2213-2219 volume:24 year:2014 number:9 day:04 month:05 pages:2213-2219
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Breast MRI Dixon technique Fat suppression 3 Tesla, Contrast enhanced
isfreeaccess_bool	false
container_title	European radiology
authorswithroles_txt_mv	Clauser, P. @@aut@@ Pinker, K. @@aut@@ Helbich, T. H. @@aut@@ Kapetas, P. @@aut@@ Bernathova, M. @@aut@@ Baltzer, P. A. T. @@aut@@
publishDateDaySort_date	2014-05-04T00:00:00Z
hierarchy_top_id	268757526
id	SPR004015789
language_de	englisch
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Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. 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author	Clauser, P.
spellingShingle	Clauser, P. misc Breast MRI misc Dixon technique misc Fat suppression misc 3 Tesla, Contrast enhanced Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
authorStr	Clauser, P.
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topic_title	Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study Breast MRI (dpeaa)DE-He213 Dixon technique (dpeaa)DE-He213 Fat suppression (dpeaa)DE-He213 3 Tesla, Contrast enhanced (dpeaa)DE-He213
topic	misc Breast MRI misc Dixon technique misc Fat suppression misc 3 Tesla, Contrast enhanced
topic_unstemmed	misc Breast MRI misc Dixon technique misc Fat suppression misc 3 Tesla, Contrast enhanced
topic_browse	misc Breast MRI misc Dixon technique misc Fat suppression misc 3 Tesla, Contrast enhanced
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
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hierarchy_parent_title	European radiology
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title	Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
ctrlnum	(DE-627)SPR004015789 (SPR)s00330-014-3189-7-e
title_full	Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
author_sort	Clauser, P.
journal	European radiology
journalStr	European radiology
lang_code	eng
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publishDateSort	2014
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container_start_page	2213
author_browse	Clauser, P. Pinker, K. Helbich, T. H. Kapetas, P. Bernathova, M. Baltzer, P. A. T.
container_volume	24
format_se	Elektronische Aufsätze
author-letter	Clauser, P.
doi_str_mv	10.1007/s00330-014-3189-7
title_sort	fat saturation in dynamic breast mri at 3 tesla: is the dixon technique superior to spectral fat saturation? a visual grading characteristics study
title_auth	Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
abstract	Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation © European Society of Radiology 2014
abstractGer	Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation © European Society of Radiology 2014
abstract_unstemmed	Purpose To intra-individually compare the diagnostic image quality of Dixon and spectral fat suppression at 3 T. Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). Smaller breast size and lower breast density were significantly (P < 0.01) correlated with impaired spectral fat suppression quality. No such correlation was identified for the Dixon technique, which showed reconstruction-based water-fat mixups leading to insufficient image quality in 20.8 %. Conclusions The Dixon technique outperformed spectral fat suppression in all evaluated criteria (P < 0.01). Non-diagnostic examinations can be avoided by fat and water image reconstruction. The superior image quality of the Dixon technique can improve breast MRI interpretation. Key Points • Optimal fat suppression quality is necessary for optimal image interpretation • Superior fat suppression quality is achieved using the Dixon technique • Lesion margin and internal enhancement evaluation improves using the Dixon technique • Superior image quality of the Dixon technique improves breast MRI interpretation © European Society of Radiology 2014
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container_issue	9
title_short	Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
url	https://dx.doi.org/10.1007/s00330-014-3189-7
remote_bool	true
author2	Pinker, K. Helbich, T. H. Kapetas, P. Bernathova, M. Baltzer, P. A. T.
author2Str	Pinker, K. Helbich, T. H. Kapetas, P. Bernathova, M. Baltzer, P. A. T.
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doi_str	10.1007/s00330-014-3189-7
up_date	2024-07-03T23:07:59.802Z
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Methods Fifty consecutive patients (mean age 55.1 years) undergoing 3 T breast MRI were recruited for this prospective study. The image protocol included pre-contrast and delayed post-contrast spectral and Dixon fat-suppressed T1w series. Two independent blinded readers compared spectral and Dixon fat-suppressed series by evaluating six ordinal (1 worst to 5 best) image quality criteria (image quality, delineation of anatomical structures, fat suppression in the breast and axilla, lesion delineation and internal enhancement). Breast density and size were assessed. Data analysis included Spearman’s rank correlation coefficient and visual grading characteristics (VGC) analysis. Results Four examinations were excluded; 48 examinations in 46 patients were evaluated. In VGC analysis, the Dixon technique was superior regarding image quality criteria analysed (P < 0.01). 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