Assessment of muscle mass depletion in chronic liver disease: Dual-energy x-ray absorptiometry compared with computed tomography

Nutrition ◽  
2019 ◽  
Vol 61 ◽  
pp. 93-98 ◽  
Author(s):  
Catarina Lindqvist ◽  
Torkel B. Brismar ◽  
Ammar Majeed ◽  
Staffan Wahlin
Keyword(s):  
Computed Tomography ◽  
Liver Disease ◽  
Chronic Liver Disease ◽  
Muscle Mass ◽  
Dual Energy ◽  
Chronic Liver ◽  
X Ray ◽  
Mass Depletion

scholarly journals Optimal Skeletal Muscle Mass Index Cut-Off Values for Presarcopenia Evaluated by Computed Tomography against Dual-Energy X-ray Absorptiometry in Patients with Chronic Liver Disease

2021 ◽  
Vol 10 (7) ◽  
pp. 1419
Author(s):  
Kazuki Ohashi ◽  
Toru Ishikawa ◽  
Asami Hoshii ◽  
Tamaki Hokari ◽  
Hirohito Noguchi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Liver Disease ◽  
Chronic Liver Disease ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Dual Energy ◽  
Chronic Liver ◽  
X Ray ◽  
Skeletal Muscle Mass Index

Although dual-energy X-ray absorptiometry (DXA) and body impedance analysis are commonly used to measure skeletal muscle mass (SMM), a computed tomography (CT) scan is preferred in clinical practice. We aimed to propose the cut-off values of skeletal muscle mass index (SMI) calculated using CT scans, using DXA as the reference method. We retrospectively assessed 589 patients with chronic liver disease. The SMI was assessed using appendicular SMM by DXA and total muscle area at the level of the third lumbar vertebra (L3) calculated by CT. The cut-off value was determined with reference to the Asian Working Group for Sarcopenia criteria. DXA identified 251 (42.6%) patients as having presarcopenia. In men, the cut-off value of SMI for presarcopenia was determined to be 45.471 cm2/m2, with an area under the curve (AUC) of 0.863 (95% confidence interval (CI): 0.823 to 0.903), and in women, this value was determined to be 35.170 cm2/m2, with an AUC of 0.846 (95% CI: 0.800 to 0.892). Cohen’s kappa coefficient was 0.575 (95% CI: 0.485–0.665) in men and 0.539 (95% CI: 0.438–0.639) in women.

scholarly journals Effects of in-hospital exercise on liver function, physical ability, and muscle mass during treatment of hepatoma in patients with chronic liver disease

2016 ◽  
Vol 47 (3) ◽  
pp. E22-E34 ◽  
Author(s):  
Shunji Koya ◽  
Takumi Kawaguchi ◽  
Ryuki Hashida ◽  
Emiko Goto ◽  
Hiroo Matsuse ◽  
...  
Keyword(s):  
Liver Disease ◽  
Liver Function ◽  
Chronic Liver Disease ◽  
Muscle Mass ◽  
Chronic Liver ◽  
Physical Ability

Calculated body muscle mass as a useful screening marker for low skeletal muscle mass and sarcopenia in chronic liver disease

2020 ◽  
Vol 50 (6) ◽  
pp. 704-714
Author(s):  
Tatsuki Ichikawa ◽  
Hisamitsu Miyaaki ◽  
Satoshi Miuma ◽  
Yasuhide Motoyoshi ◽  
Mio Yamashima ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Liver Disease ◽  
Chronic Liver Disease ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Chronic Liver ◽  
Body Muscle ◽  
Screening Marker

Development of a simple predictive model for decreased skeletal muscle mass in patients with compensated chronic liver disease

2017 ◽  
Vol 47 (12) ◽  
pp. 1223-1234 ◽  
Author(s):  
Hiroki Nishikawa ◽  
Hirayuki Enomoto ◽  
Akio Ishii ◽  
Yoshinori Iwata ◽  
Yuho Miyamoto ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Liver Disease ◽  
Chronic Liver Disease ◽  
Predictive Model ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Chronic Liver

scholarly journals Accuracy of Multi-Detector Computed Tomography in Detection of Esophageal Varices in Chronic Liver Disease

2020 ◽  
Vol 9 (1) ◽  
pp. 4-9
Author(s):  
Syeda Zakia Shah ◽  
Umair Ajmal ◽  
Shahabuddin Siddiqui
Keyword(s):  
Computed Tomography ◽  
Liver Disease ◽  
Diagnostic Accuracy ◽  
Chronic Liver Disease ◽  
Esophageal Varices ◽  
Chronic Liver ◽  
Computed Tomography Scan ◽  
Predictive Values ◽  
Tomography Scan ◽  
Multi Detector Computed Tomography

Background: Patients with chronic liver disease should undergo screening endoscopy, but this approach places a heavy burden upon endoscopy units along with other limitations. The aim of this study was to determine the diagnostic accuracy of multi-detector computed tomography scan in detecting esophageal varices taking endoscopy as gold standard.Material and Methods: This cross-sectional study was done from 1st Jan 2018 to 31st Dec 2018 at Department of Radiology, PIMS Hospital Islamabad. A total of 180 patients of both gender with chronic liver disease for at least 12 months were included in this study with an age range of 25-65 years. Patients with active gastrointestinal hemorrhage, hypersensitivity to iodinated contrast agent, chronic renal failure, claustrophobic and pregnant females were excluded. All the patients underwent endoscopy and computed tomography of lower chest and the upper abdomen before and after intravenous contrast administration. Multi detector computed tomography (MDCT) scan findings for esophageal varices were compared with endoscopy findings.Results: In MDCT positive patients (n=102), 98 were true positive and 04 were false positive. Among 78 MDCT negative patients, 07 were false negative, whereas 71 were true negative. Overall sensitivity and specificity were 93.33%, and 94.67% respectively. The positive and negative predictive values were 96.08% and 91.03% respectively, while diagnostic accuracy of MDCT in detecting esophageal varices in chronic liver disease patients was 93.89%, taking endoscopy as gold standard.Conclusions: Multi-detector computed tomography scan is a highly sensitive and accurate non-invasive modality for detecting esophageal varices in chronic liver disease patients.Key words: Accuracy, Chronic liver disease, Esophageal varices, Multi-detector computed tomography

scholarly journals Muscle atrophy as pre-sarcopenia in Japanese patients with chronic liver disease: computed tomography is useful for evaluation

2015 ◽  
Vol 50 (12) ◽  
pp. 1206-1213 ◽  
Author(s):  
Atsushi Hiraoka ◽  
Toshihiko Aibiki ◽  
Tomonari Okudaira ◽  
Akiko Toshimori ◽  
Tomoe Kawamura ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Liver Disease ◽  
Chronic Liver Disease ◽  
Muscle Atrophy ◽  
Japanese Patients ◽  
Chronic Liver

scholarly journals Contrast-enhanced Computed Tomography Imaging of Splenic Artery Aneurysms and Pseudoaneurysms: A Single-center Experience

2018 ◽  
Vol 8 ◽  
pp. 37 ◽  
Author(s):  
Jacob Therakathu ◽  
Hirenkumar Kamleshkumar Panwala ◽  
Salil Bhargava ◽  
Anu Eapen ◽  
Shyamkumar Nidugala Keshava ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Liver Disease ◽  
Chronic Liver Disease ◽  
Splenic Artery ◽  
Artery Aneurysm ◽  
Chronic Liver ◽  
Imaging Features ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Picture Archiving And Communication

Aim: The aim of our study was to evaluate the computed tomography (CT) imaging features of splenic artery aneurysm and pseudoaneurysm and to identify the disease conditions related to the same. We also wanted to ascertain any relationship between these associated disease conditions and the imaging features of the aneurysms. Materials and Methods: This retrospective study included patients diagnosed to have splenic artery aneurysms on contrast-enhanced CT examination between January 2001 and January 2016. Data were obtained from the picture archiving and communication system. The size, number, location, morphology, the presence of thrombosis, calcification, and rupture of the aneurysms were evaluated. Results: A total of 45 patients were identified with a mean age of 45 years. Splenic artery aneurysms were idiopathic in 12 (26.6%) patients. In the remaining patients, the main associated disease conditions included pancreatitis 15 (33%), chronic liver disease with portal hypertension 8 (18%), and extrahepatic portal vein obstruction (EHPVO) 6 (13%). Statistically significant findings included the relationship between EHPVO and multiple aneurysms (P = 0.002), chronic liver disease and fusiform aneurysm (P = 0.008), and smaller size of idiopathic aneurysms (P < 0.001). Conclusion: Based on this study, splenic artery aneurysms were associated with a variety of etiologies. The characteristics of the aneurysms such as size, location, and morphology vary with the associated disease conditions. These variations may have implications for the management.

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