Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients

Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shores, Nathan J. [verfasserIn] Link, Kerry [verfasserIn] Fernandez, Adolfo [verfasserIn] Geisinger, Kim R. [verfasserIn] Davis, Matt [verfasserIn] Nguyen, Tam [verfasserIn] Sawyer, Janet [verfasserIn] Rudel, Larry [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	Computed tomography Non-alcoholic fatty liver disease Macrosteatosis Liver–spleen index Obesity Hepatic attenuation Triglyceride

Übergeordnetes Werk:	Enthalten in: Digestive diseases and sciences - Dordrecht : Springer Science + Business Media B.V., 1934, 56(2011), 7 vom: 12. Feb., Seite 2145-2151
Übergeordnetes Werk:	volume:56 ; year:2011 ; number:7 ; day:12 ; month:02 ; pages:2145-2151

Links:	Volltext

DOI / URN:	10.1007/s10620-011-1602-5

Katalog-ID:	SPR011860960

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100	1		\|a Shores, Nathan J. \|e verfasserin \|4 aut
245	1	0	\|a Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients
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520			\|a Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients.
650		4	\|a Computed tomography \|7 (dpeaa)DE-He213
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650		4	\|a Hepatic attenuation \|7 (dpeaa)DE-He213
650		4	\|a Triglyceride \|7 (dpeaa)DE-He213
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700	1		\|a Fernandez, Adolfo \|e verfasserin \|4 aut
700	1		\|a Geisinger, Kim R. \|e verfasserin \|4 aut
700	1		\|a Davis, Matt \|e verfasserin \|4 aut
700	1		\|a Nguyen, Tam \|e verfasserin \|4 aut
700	1		\|a Sawyer, Janet \|e verfasserin \|4 aut
700	1		\|a Rudel, Larry \|e verfasserin \|4 aut
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bklnumber	44.87
publishDate	2011
allfields	10.1007/s10620-011-1602-5 doi (DE-627)SPR011860960 (SPR)s10620-011-1602-5-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Shores, Nathan J. verfasserin aut Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients. Computed tomography (dpeaa)DE-He213 Non-alcoholic fatty liver disease (dpeaa)DE-He213 Macrosteatosis (dpeaa)DE-He213 Liver–spleen index (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Hepatic attenuation (dpeaa)DE-He213 Triglyceride (dpeaa)DE-He213 Link, Kerry verfasserin aut Fernandez, Adolfo verfasserin aut Geisinger, Kim R. verfasserin aut Davis, Matt verfasserin aut Nguyen, Tam verfasserin aut Sawyer, Janet verfasserin aut Rudel, Larry verfasserin aut Enthalten in Digestive diseases and sciences Dordrecht : Springer Science + Business Media B.V., 1934 56(2011), 7 vom: 12. Feb., Seite 2145-2151 (DE-627)320525384 (DE-600)2015102-0 1573-2568 nnns volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151 https://dx.doi.org/10.1007/s10620-011-1602-5 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 56 2011 7 12 02 2145-2151
spelling	10.1007/s10620-011-1602-5 doi (DE-627)SPR011860960 (SPR)s10620-011-1602-5-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Shores, Nathan J. verfasserin aut Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients. Computed tomography (dpeaa)DE-He213 Non-alcoholic fatty liver disease (dpeaa)DE-He213 Macrosteatosis (dpeaa)DE-He213 Liver–spleen index (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Hepatic attenuation (dpeaa)DE-He213 Triglyceride (dpeaa)DE-He213 Link, Kerry verfasserin aut Fernandez, Adolfo verfasserin aut Geisinger, Kim R. verfasserin aut Davis, Matt verfasserin aut Nguyen, Tam verfasserin aut Sawyer, Janet verfasserin aut Rudel, Larry verfasserin aut Enthalten in Digestive diseases and sciences Dordrecht : Springer Science + Business Media B.V., 1934 56(2011), 7 vom: 12. Feb., Seite 2145-2151 (DE-627)320525384 (DE-600)2015102-0 1573-2568 nnns volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151 https://dx.doi.org/10.1007/s10620-011-1602-5 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 56 2011 7 12 02 2145-2151
allfields_unstemmed	10.1007/s10620-011-1602-5 doi (DE-627)SPR011860960 (SPR)s10620-011-1602-5-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Shores, Nathan J. verfasserin aut Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients. Computed tomography (dpeaa)DE-He213 Non-alcoholic fatty liver disease (dpeaa)DE-He213 Macrosteatosis (dpeaa)DE-He213 Liver–spleen index (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Hepatic attenuation (dpeaa)DE-He213 Triglyceride (dpeaa)DE-He213 Link, Kerry verfasserin aut Fernandez, Adolfo verfasserin aut Geisinger, Kim R. verfasserin aut Davis, Matt verfasserin aut Nguyen, Tam verfasserin aut Sawyer, Janet verfasserin aut Rudel, Larry verfasserin aut Enthalten in Digestive diseases and sciences Dordrecht : Springer Science + Business Media B.V., 1934 56(2011), 7 vom: 12. Feb., Seite 2145-2151 (DE-627)320525384 (DE-600)2015102-0 1573-2568 nnns volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151 https://dx.doi.org/10.1007/s10620-011-1602-5 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 56 2011 7 12 02 2145-2151
allfieldsGer	10.1007/s10620-011-1602-5 doi (DE-627)SPR011860960 (SPR)s10620-011-1602-5-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Shores, Nathan J. verfasserin aut Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients. Computed tomography (dpeaa)DE-He213 Non-alcoholic fatty liver disease (dpeaa)DE-He213 Macrosteatosis (dpeaa)DE-He213 Liver–spleen index (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Hepatic attenuation (dpeaa)DE-He213 Triglyceride (dpeaa)DE-He213 Link, Kerry verfasserin aut Fernandez, Adolfo verfasserin aut Geisinger, Kim R. verfasserin aut Davis, Matt verfasserin aut Nguyen, Tam verfasserin aut Sawyer, Janet verfasserin aut Rudel, Larry verfasserin aut Enthalten in Digestive diseases and sciences Dordrecht : Springer Science + Business Media B.V., 1934 56(2011), 7 vom: 12. Feb., Seite 2145-2151 (DE-627)320525384 (DE-600)2015102-0 1573-2568 nnns volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151 https://dx.doi.org/10.1007/s10620-011-1602-5 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 56 2011 7 12 02 2145-2151
allfieldsSound	10.1007/s10620-011-1602-5 doi (DE-627)SPR011860960 (SPR)s10620-011-1602-5-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl Shores, Nathan J. verfasserin aut Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients. Computed tomography (dpeaa)DE-He213 Non-alcoholic fatty liver disease (dpeaa)DE-He213 Macrosteatosis (dpeaa)DE-He213 Liver–spleen index (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Hepatic attenuation (dpeaa)DE-He213 Triglyceride (dpeaa)DE-He213 Link, Kerry verfasserin aut Fernandez, Adolfo verfasserin aut Geisinger, Kim R. verfasserin aut Davis, Matt verfasserin aut Nguyen, Tam verfasserin aut Sawyer, Janet verfasserin aut Rudel, Larry verfasserin aut Enthalten in Digestive diseases and sciences Dordrecht : Springer Science + Business Media B.V., 1934 56(2011), 7 vom: 12. Feb., Seite 2145-2151 (DE-627)320525384 (DE-600)2015102-0 1573-2568 nnns volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151 https://dx.doi.org/10.1007/s10620-011-1602-5 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 56 2011 7 12 02 2145-2151
language	English
source	Enthalten in Digestive diseases and sciences 56(2011), 7 vom: 12. Feb., Seite 2145-2151 volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151
sourceStr	Enthalten in Digestive diseases and sciences 56(2011), 7 vom: 12. Feb., Seite 2145-2151 volume:56 year:2011 number:7 day:12 month:02 pages:2145-2151
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Computed tomography Non-alcoholic fatty liver disease Macrosteatosis Liver–spleen index Obesity Hepatic attenuation Triglyceride
dewey-raw	610
isfreeaccess_bool	true
container_title	Digestive diseases and sciences
authorswithroles_txt_mv	Shores, Nathan J. @@aut@@ Link, Kerry @@aut@@ Fernandez, Adolfo @@aut@@ Geisinger, Kim R. @@aut@@ Davis, Matt @@aut@@ Nguyen, Tam @@aut@@ Sawyer, Janet @@aut@@ Rudel, Larry @@aut@@
publishDateDaySort_date	2011-02-12T00:00:00Z
hierarchy_top_id	320525384
dewey-sort	3610
id	SPR011860960
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR011860960</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519104143.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2011 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10620-011-1602-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR011860960</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10620-011-1602-5-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="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.87</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Shores, Nathan J.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</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="520" ind1=" " ind2=" "><subfield code="a">Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computed tomography</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Non-alcoholic fatty liver disease</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Macrosteatosis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Liver–spleen index</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Obesity</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Hepatic attenuation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Triglyceride</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Link, Kerry</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fernandez, Adolfo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Geisinger, Kim R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Davis, Matt</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nguyen, Tam</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sawyer, Janet</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rudel, Larry</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">Digestive diseases and sciences</subfield><subfield code="d">Dordrecht : Springer Science + Business Media B.V., 1934</subfield><subfield code="g">56(2011), 7 vom: 12. 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author	Shores, Nathan J.
spellingShingle	Shores, Nathan J. ddc 610 bkl 44.87 misc Computed tomography misc Non-alcoholic fatty liver disease misc Macrosteatosis misc Liver–spleen index misc Obesity misc Hepatic attenuation misc Triglyceride Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients
authorStr	Shores, Nathan J.
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format	electronic Article
dewey-ones	610 - Medicine & health
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illustrated	Not Illustrated
issn	1573-2568
topic_title	610 ASE 44.87 bkl Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients Computed tomography (dpeaa)DE-He213 Non-alcoholic fatty liver disease (dpeaa)DE-He213 Macrosteatosis (dpeaa)DE-He213 Liver–spleen index (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Hepatic attenuation (dpeaa)DE-He213 Triglyceride (dpeaa)DE-He213
topic	ddc 610 bkl 44.87 misc Computed tomography misc Non-alcoholic fatty liver disease misc Macrosteatosis misc Liver–spleen index misc Obesity misc Hepatic attenuation misc Triglyceride
topic_unstemmed	ddc 610 bkl 44.87 misc Computed tomography misc Non-alcoholic fatty liver disease misc Macrosteatosis misc Liver–spleen index misc Obesity misc Hepatic attenuation misc Triglyceride
topic_browse	ddc 610 bkl 44.87 misc Computed tomography misc Non-alcoholic fatty liver disease misc Macrosteatosis misc Liver–spleen index misc Obesity misc Hepatic attenuation misc Triglyceride
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title	Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients
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title_full	Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients
author_sort	Shores, Nathan J.
journal	Digestive diseases and sciences
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author_browse	Shores, Nathan J. Link, Kerry Fernandez, Adolfo Geisinger, Kim R. Davis, Matt Nguyen, Tam Sawyer, Janet Rudel, Larry
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title_sort	non-contrasted computed tomography for the accurate measurement of liver steatosis in obese patients
title_auth	Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients
abstract	Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients.
abstractGer	Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients.
abstract_unstemmed	Background Hepatic macrosteatosis (HMS) is prevalent among high BMI patients, but a lack of validation of non-invasive measures of liver fat hampers non-alcoholic liver disease (NAFLD) investigation in general. Recent work suggests BMI adjusted, non-contrasted computed tomography (nc-CT) attenuation data (Hounsfield units) reflects liver fat accumulation in a normal weight population. However, this and other CT-based HMS studies have only approximated macrosteatosis (%) histologically, but have not validated findings with chemical liver triglyceride (TG) concentrations (mg/gram protein). Also, all previous CT based steatosis studies excluded high BMI subjects, whose habitus may affect properties of the scan. We hypothesized that in high BMI patients nc-CT attenuation measurements expressed in Hounsfield units (HU) accurately estimate liver triglyceride concentrations as well as histological macrosteatosis. Methods With informed consent, 15 patients underwent nc-CT scan of the abdomen prior to weight loss surgery with intraoperative wedge and core needle liver biopsy. Mean left lobe nc-CT Hounsfield units ($ CT_{L} $), liver TG (mg/g Pr), HMS (%), BMI (kg/$ m^{2} $), liver-spleen index ($ CT_{L/S} $ = hepatic HU/splenic HU), and liver–spleen difference ($ CT_{L-S} $ = hepatic HU − splenic HU) were a priori outcomes. Results In 15 patients (11 female) with a BMI of 44.4 ± 1.1 (mean ± SEM), $ CT_{L/S} $, $ CT_{L-S} $, and $ CT_{L} $ measures were significantly associated with liver TG concentrations (r = −0.80, P < 0.001; r = −0.80, P < 0.001; and r = −0.71, P < 0.01, respectively; Table 1). Macrosteatosis (%) and liver triglyceride concentration were positively associated (r = 0.83; P < 0.0001). BMI did not correlate strongly to liver triglyceride (r = 0.44, P = NS). Conclusion Estimates of liver fat obtained by nc- CT scans (esp. $ CT_{L/S} $, $ CT_{L-S} $) correlate to chemical measurement of liver triglyceride concentrations, suggesting non-contrasted CT may be a suitable non-invasive “gold standard” for hepatic steatosis quantification in these patients.
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container_issue	7
title_short	Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients
url	https://dx.doi.org/10.1007/s10620-011-1602-5
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up_date	2024-07-04T00:44:58.411Z
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Non-contrasted Computed Tomography for the Accurate Measurement of Liver Steatosis in Obese Patients

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