The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis
Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Syer, Tom J. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Abdominal radiology - [Boston, MA] : Springer US, 2016, 43(2017), 7 vom: 24. Nov., Seite 1787-1797 |
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| Übergeordnetes Werk: |
volume:43 ; year:2017 ; number:7 ; day:24 ; month:11 ; pages:1787-1797 |
| Links: |
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| DOI / URN: |
10.1007/s00261-017-1400-4 |
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| Katalog-ID: |
SPR003207404 |
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| 100 | 1 | |a Syer, Tom J. |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
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| 500 | |a © The Author(s) 2017 | ||
| 520 | |a Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. | ||
| 650 | 4 | |a Prostate cancer |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Diffusion-weighted imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a T |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a -weighted imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a -value |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Meta-analysis |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Godley, Keith C. |4 aut | |
| 700 | 1 | |a Cameron, Donnie |4 aut | |
| 700 | 1 | |a Malcolm, Paul N. |4 aut | |
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10.1007/s00261-017-1400-4 doi (DE-627)SPR003207404 (SPR)s00261-017-1400-4-e DE-627 ger DE-627 rakwb eng Syer, Tom J. verfasserin aut The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. Prostate cancer (dpeaa)DE-He213 Diffusion-weighted imaging (dpeaa)DE-He213 T (dpeaa)DE-He213 -weighted imaging (dpeaa)DE-He213 -value (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Godley, Keith C. aut Cameron, Donnie aut Malcolm, Paul N. aut Enthalten in Abdominal radiology [Boston, MA] : Springer US, 2016 43(2017), 7 vom: 24. Nov., Seite 1787-1797 (DE-627)847023133 (DE-600)2845742-0 2366-0058 nnns volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 https://dx.doi.org/10.1007/s00261-017-1400-4 kostenfrei 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_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 43 2017 7 24 11 1787-1797 |
| spelling |
10.1007/s00261-017-1400-4 doi (DE-627)SPR003207404 (SPR)s00261-017-1400-4-e DE-627 ger DE-627 rakwb eng Syer, Tom J. verfasserin aut The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. Prostate cancer (dpeaa)DE-He213 Diffusion-weighted imaging (dpeaa)DE-He213 T (dpeaa)DE-He213 -weighted imaging (dpeaa)DE-He213 -value (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Godley, Keith C. aut Cameron, Donnie aut Malcolm, Paul N. aut Enthalten in Abdominal radiology [Boston, MA] : Springer US, 2016 43(2017), 7 vom: 24. Nov., Seite 1787-1797 (DE-627)847023133 (DE-600)2845742-0 2366-0058 nnns volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 https://dx.doi.org/10.1007/s00261-017-1400-4 kostenfrei 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_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 43 2017 7 24 11 1787-1797 |
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10.1007/s00261-017-1400-4 doi (DE-627)SPR003207404 (SPR)s00261-017-1400-4-e DE-627 ger DE-627 rakwb eng Syer, Tom J. verfasserin aut The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. Prostate cancer (dpeaa)DE-He213 Diffusion-weighted imaging (dpeaa)DE-He213 T (dpeaa)DE-He213 -weighted imaging (dpeaa)DE-He213 -value (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Godley, Keith C. aut Cameron, Donnie aut Malcolm, Paul N. aut Enthalten in Abdominal radiology [Boston, MA] : Springer US, 2016 43(2017), 7 vom: 24. Nov., Seite 1787-1797 (DE-627)847023133 (DE-600)2845742-0 2366-0058 nnns volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 https://dx.doi.org/10.1007/s00261-017-1400-4 kostenfrei 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_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 43 2017 7 24 11 1787-1797 |
| allfieldsGer |
10.1007/s00261-017-1400-4 doi (DE-627)SPR003207404 (SPR)s00261-017-1400-4-e DE-627 ger DE-627 rakwb eng Syer, Tom J. verfasserin aut The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. Prostate cancer (dpeaa)DE-He213 Diffusion-weighted imaging (dpeaa)DE-He213 T (dpeaa)DE-He213 -weighted imaging (dpeaa)DE-He213 -value (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Godley, Keith C. aut Cameron, Donnie aut Malcolm, Paul N. aut Enthalten in Abdominal radiology [Boston, MA] : Springer US, 2016 43(2017), 7 vom: 24. Nov., Seite 1787-1797 (DE-627)847023133 (DE-600)2845742-0 2366-0058 nnns volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 https://dx.doi.org/10.1007/s00261-017-1400-4 kostenfrei 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_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 43 2017 7 24 11 1787-1797 |
| allfieldsSound |
10.1007/s00261-017-1400-4 doi (DE-627)SPR003207404 (SPR)s00261-017-1400-4-e DE-627 ger DE-627 rakwb eng Syer, Tom J. verfasserin aut The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2017 Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. Prostate cancer (dpeaa)DE-He213 Diffusion-weighted imaging (dpeaa)DE-He213 T (dpeaa)DE-He213 -weighted imaging (dpeaa)DE-He213 -value (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Godley, Keith C. aut Cameron, Donnie aut Malcolm, Paul N. aut Enthalten in Abdominal radiology [Boston, MA] : Springer US, 2016 43(2017), 7 vom: 24. Nov., Seite 1787-1797 (DE-627)847023133 (DE-600)2845742-0 2366-0058 nnns volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 https://dx.doi.org/10.1007/s00261-017-1400-4 kostenfrei 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_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_2018 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_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 43 2017 7 24 11 1787-1797 |
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Enthalten in Abdominal radiology 43(2017), 7 vom: 24. Nov., Seite 1787-1797 volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 |
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Enthalten in Abdominal radiology 43(2017), 7 vom: 24. Nov., Seite 1787-1797 volume:43 year:2017 number:7 day:24 month:11 pages:1787-1797 |
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Prostate cancer Diffusion-weighted imaging T -weighted imaging -value Meta-analysis |
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Abdominal radiology |
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Syer, Tom J. @@aut@@ Godley, Keith C. @@aut@@ Cameron, Donnie @@aut@@ Malcolm, Paul N. @@aut@@ |
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2017-11-24T00:00:00Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR003207404</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230520002605.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00261-017-1400-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR003207404</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00261-017-1400-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Syer, Tom J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. 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Syer, Tom J. |
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Syer, Tom J. misc Prostate cancer misc Diffusion-weighted imaging misc T misc -weighted imaging misc -value misc Meta-analysis The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis |
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The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis Prostate cancer (dpeaa)DE-He213 Diffusion-weighted imaging (dpeaa)DE-He213 T (dpeaa)DE-He213 -weighted imaging (dpeaa)DE-He213 -value (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 |
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misc Prostate cancer misc Diffusion-weighted imaging misc T misc -weighted imaging misc -value misc Meta-analysis |
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The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis |
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Abdominal radiology |
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Syer, Tom J. Godley, Keith C. Cameron, Donnie Malcolm, Paul N. |
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10.1007/s00261-017-1400-4 |
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diagnostic accuracy of high b-value diffusion- and $ t_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis |
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The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis |
| abstract |
Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. © The Author(s) 2017 |
| abstractGer |
Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. © The Author(s) 2017 |
| abstract_unstemmed |
Purpose This study aims to investigate the role of diffusion-weighted imaging (DWI) and $ T_{2} $-weighted imaging ($ T_{2} $WI) in combination for the detection of prostate cancer, specifically assessing the role of high b-values (> 1000 s/$ mm^{2} $), with a systematic review and meta-analysis of the existing published data. Methods The electronic databases MEDLINE, EMBASE, and OpenSIGLE were searched between inception and September 1, 2017. Eligible studies were those that reported the sensitivity and specificity of DWI and $ T_{2} $WI for the diagnosis of prostate cancer by visual assessment using a histopathologic reference standard. The QUADAS-2 critical appraisal tool was used to assess the quality of included studies. A meta-analysis with pooling of sensitivity, specificity, likelihood, and diagnostic odds ratios was undertaken, and a summary receiver-operating characteristics (sROC) curve was constructed. Predetermined subgroup analysis was also performed. Results Thirty-three studies were included in the final analysis, evaluating 2949 patients. The pooled sensitivity and specificity were 0.69 (95% CI 0.68–0.69) and 0.84 (95% CI 0.83–0.85), respectively, and the sROC AUC was 0.84 (95% CI 0.81–0.87). Subgroup analysis showed significantly better sensitivity with high b-values (> 1000 s/$ mm^{2} $). There was high statistical heterogeneity between studies. Conclusion The diagnostic accuracy of combined DWI and $ T_{2} $WI is good with high b-values (> 1000 s/$ mm^{2} $) seeming to improve overall sensitivity while maintaining specificity. However, further large-scale studies specifically looking at b-value choice are required before a categorical recommendation can be made. © The Author(s) 2017 |
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| title_short |
The diagnostic accuracy of high b-value diffusion- and $ T_{2} $-weighted imaging for the detection of prostate cancer: a meta-analysis |
| url |
https://dx.doi.org/10.1007/s00261-017-1400-4 |
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Godley, Keith C. Cameron, Donnie Malcolm, Paul N. |
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| doi_str |
10.1007/s00261-017-1400-4 |
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2024-07-03T17:59:22.558Z |
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| score |
7.397505 |