Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience
Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease...
Ausführliche Beschreibung
Autor*in: |
Ito, Emi [verfasserIn] Sato, Keisuke [verfasserIn] Yamamoto, Ryotaro [verfasserIn] Sakamoto, Keiko [verfasserIn] Urakawa, Hiroshi [verfasserIn] Yoshimitsu, Kengo [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Anmerkung: |
© Japan Radiological Society 2020 |
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Übergeordnetes Werk: |
Enthalten in: Radiation medicine - Tokyo : Springer, 1999, 38(2020), 4 vom: 06. Jan., Seite 365-373 |
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Übergeordnetes Werk: |
volume:38 ; year:2020 ; number:4 ; day:06 ; month:01 ; pages:365-373 |
Links: |
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DOI / URN: |
10.1007/s11604-019-00918-z |
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Katalog-ID: |
SPR03937761X |
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245 | 1 | 0 | |a Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience |
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520 | |a Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. | ||
650 | 4 | |a Liver fibrosis |7 (dpeaa)DE-He213 | |
650 | 4 | |a Extracellular volume fraction |7 (dpeaa)DE-He213 | |
650 | 4 | |a Dual-energy CT |7 (dpeaa)DE-He213 | |
650 | 4 | |a Equilibrium phase |7 (dpeaa)DE-He213 | |
650 | 4 | |a Iodine(-blood) density images |7 (dpeaa)DE-He213 | |
700 | 1 | |a Sato, Keisuke |e verfasserin |4 aut | |
700 | 1 | |a Yamamoto, Ryotaro |e verfasserin |4 aut | |
700 | 1 | |a Sakamoto, Keiko |e verfasserin |4 aut | |
700 | 1 | |a Urakawa, Hiroshi |e verfasserin |4 aut | |
700 | 1 | |a Yoshimitsu, Kengo |e verfasserin |4 aut | |
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10.1007/s11604-019-00918-z doi (DE-627)SPR03937761X (DE-599)SPRs11604-019-00918-z-e (SPR)s11604-019-00918-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Ito, Emi verfasserin aut Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Japan Radiological Society 2020 Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. Liver fibrosis (dpeaa)DE-He213 Extracellular volume fraction (dpeaa)DE-He213 Dual-energy CT (dpeaa)DE-He213 Equilibrium phase (dpeaa)DE-He213 Iodine(-blood) density images (dpeaa)DE-He213 Sato, Keisuke verfasserin aut Yamamoto, Ryotaro verfasserin aut Sakamoto, Keiko verfasserin aut Urakawa, Hiroshi verfasserin aut Yoshimitsu, Kengo verfasserin aut Enthalten in Radiation medicine Tokyo : Springer, 1999 38(2020), 4 vom: 06. Jan., Seite 365-373 (DE-627)368312305 (DE-600)2117284-5 1862-5274 nnns volume:38 year:2020 number:4 day:06 month:01 pages:365-373 https://dx.doi.org/10.1007/s11604-019-00918-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.64 ASE AR 38 2020 4 06 01 365-373 |
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10.1007/s11604-019-00918-z doi (DE-627)SPR03937761X (DE-599)SPRs11604-019-00918-z-e (SPR)s11604-019-00918-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Ito, Emi verfasserin aut Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Japan Radiological Society 2020 Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. Liver fibrosis (dpeaa)DE-He213 Extracellular volume fraction (dpeaa)DE-He213 Dual-energy CT (dpeaa)DE-He213 Equilibrium phase (dpeaa)DE-He213 Iodine(-blood) density images (dpeaa)DE-He213 Sato, Keisuke verfasserin aut Yamamoto, Ryotaro verfasserin aut Sakamoto, Keiko verfasserin aut Urakawa, Hiroshi verfasserin aut Yoshimitsu, Kengo verfasserin aut Enthalten in Radiation medicine Tokyo : Springer, 1999 38(2020), 4 vom: 06. Jan., Seite 365-373 (DE-627)368312305 (DE-600)2117284-5 1862-5274 nnns volume:38 year:2020 number:4 day:06 month:01 pages:365-373 https://dx.doi.org/10.1007/s11604-019-00918-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.64 ASE AR 38 2020 4 06 01 365-373 |
allfields_unstemmed |
10.1007/s11604-019-00918-z doi (DE-627)SPR03937761X (DE-599)SPRs11604-019-00918-z-e (SPR)s11604-019-00918-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Ito, Emi verfasserin aut Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Japan Radiological Society 2020 Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. Liver fibrosis (dpeaa)DE-He213 Extracellular volume fraction (dpeaa)DE-He213 Dual-energy CT (dpeaa)DE-He213 Equilibrium phase (dpeaa)DE-He213 Iodine(-blood) density images (dpeaa)DE-He213 Sato, Keisuke verfasserin aut Yamamoto, Ryotaro verfasserin aut Sakamoto, Keiko verfasserin aut Urakawa, Hiroshi verfasserin aut Yoshimitsu, Kengo verfasserin aut Enthalten in Radiation medicine Tokyo : Springer, 1999 38(2020), 4 vom: 06. Jan., Seite 365-373 (DE-627)368312305 (DE-600)2117284-5 1862-5274 nnns volume:38 year:2020 number:4 day:06 month:01 pages:365-373 https://dx.doi.org/10.1007/s11604-019-00918-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.64 ASE AR 38 2020 4 06 01 365-373 |
allfieldsGer |
10.1007/s11604-019-00918-z doi (DE-627)SPR03937761X (DE-599)SPRs11604-019-00918-z-e (SPR)s11604-019-00918-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Ito, Emi verfasserin aut Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Japan Radiological Society 2020 Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. Liver fibrosis (dpeaa)DE-He213 Extracellular volume fraction (dpeaa)DE-He213 Dual-energy CT (dpeaa)DE-He213 Equilibrium phase (dpeaa)DE-He213 Iodine(-blood) density images (dpeaa)DE-He213 Sato, Keisuke verfasserin aut Yamamoto, Ryotaro verfasserin aut Sakamoto, Keiko verfasserin aut Urakawa, Hiroshi verfasserin aut Yoshimitsu, Kengo verfasserin aut Enthalten in Radiation medicine Tokyo : Springer, 1999 38(2020), 4 vom: 06. Jan., Seite 365-373 (DE-627)368312305 (DE-600)2117284-5 1862-5274 nnns volume:38 year:2020 number:4 day:06 month:01 pages:365-373 https://dx.doi.org/10.1007/s11604-019-00918-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.64 ASE AR 38 2020 4 06 01 365-373 |
allfieldsSound |
10.1007/s11604-019-00918-z doi (DE-627)SPR03937761X (DE-599)SPRs11604-019-00918-z-e (SPR)s11604-019-00918-z-e DE-627 ger DE-627 rakwb eng 610 ASE 44.64 bkl Ito, Emi verfasserin aut Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Japan Radiological Society 2020 Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. Liver fibrosis (dpeaa)DE-He213 Extracellular volume fraction (dpeaa)DE-He213 Dual-energy CT (dpeaa)DE-He213 Equilibrium phase (dpeaa)DE-He213 Iodine(-blood) density images (dpeaa)DE-He213 Sato, Keisuke verfasserin aut Yamamoto, Ryotaro verfasserin aut Sakamoto, Keiko verfasserin aut Urakawa, Hiroshi verfasserin aut Yoshimitsu, Kengo verfasserin aut Enthalten in Radiation medicine Tokyo : Springer, 1999 38(2020), 4 vom: 06. Jan., Seite 365-373 (DE-627)368312305 (DE-600)2117284-5 1862-5274 nnns volume:38 year:2020 number:4 day:06 month:01 pages:365-373 https://dx.doi.org/10.1007/s11604-019-00918-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.64 ASE AR 38 2020 4 06 01 365-373 |
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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">SPR03937761X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519124200.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11604-019-00918-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR03937761X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)SPRs11604-019-00918-z-e</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11604-019-00918-z-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="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.64</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ito, Emi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</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">© Japan Radiological Society 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). 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Ito, Emi ddc 610 bkl 44.64 misc Liver fibrosis misc Extracellular volume fraction misc Dual-energy CT misc Equilibrium phase misc Iodine(-blood) density images Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience |
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610 ASE 44.64 bkl Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience Liver fibrosis (dpeaa)DE-He213 Extracellular volume fraction (dpeaa)DE-He213 Dual-energy CT (dpeaa)DE-He213 Equilibrium phase (dpeaa)DE-He213 Iodine(-blood) density images (dpeaa)DE-He213 |
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usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver ct protocol equilibrium phase data: preliminary experience |
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Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience |
abstract |
Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. © Japan Radiological Society 2020 |
abstractGer |
Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. © Japan Radiological Society 2020 |
abstract_unstemmed |
Purpose To assess whether extracellular volume fraction (ECV) calculated from iodine(-blood) density images (I-B) of dual-energy liver CT (DECT) equilibrium phase data (EqD) is useful in estimating the degree of liver fibrosis. Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis. © Japan Radiological Society 2020 |
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Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience |
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Materials and methods Consecutive 52 patients with chronic liver disease who underwent fast kV switching DECT and liver MR elastography (MRE) were retrospectively enrolled. Iodine(-water) density images (I-W) and I-B generated from EqD and ECV were calculated. As blood pools, abdominal aorta (Ao) and suprahepatic inferior vena cava (IVC) were chosen, and, therefore, 4 types of ECV ($ ECV_{I-W Ao} $, $ ECV_{I-W IVC} $, $ ECV_{I-B Ao} $, $ ECV_{I-B IVC} $) were obtained. ECV was also calculated using conventional method ($ ECV_{conv Ao} $). The correlation coefficients (R2 or rho) of these five ECVs versus liver stiffness (MRE) or pathologically proven fibrosis grades were compared. Results As for correlation with liver stiffness, R2 for $ ECV_{conv.Ao} $, $ ECV_{I-W Ao} $, $ ECV_{I-B Ao} $, $ ECV_{I-W IVC} $, and $ ECV_{I-B IVC} $, were 0.26, 0.34, 0.44, 0.39, and 0.52, respectively (all p < 0.0001). Histopathological correlation was available in 28 patients, and rho values were 0.61, 0.60, 0.71, 0.68, and 0.76, respectively (all p < 0.001). Conclusion $ ECV_{I–B IVC} $ calculated from EqD of DECT is useful in estimating the degree of liver fibrosis.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Liver fibrosis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Extracellular volume fraction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dual-energy CT</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Equilibrium phase</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Iodine(-blood) density images</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sato, Keisuke</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yamamoto, Ryotaro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sakamoto, Keiko</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Urakawa, Hiroshi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yoshimitsu, Kengo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Radiation medicine</subfield><subfield code="d">Tokyo : Springer, 1999</subfield><subfield code="g">38(2020), 4 vom: 06. 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