Hepatic fat quantification in dual-layer computed tomography using a three-material decomposition algorithm

被引:5
|
作者
Demondion, Emilie [1 ]
Ernst, Olivier [1 ]
Louvet, Alexandre [2 ]
Robert, Benjamin [3 ]
Kafri, Galit [4 ]
Langzam, Eran [4 ]
Vermersch, Mathilde [1 ,5 ]
机构
[1] Lille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
[2] Lille Univ Hosp, Dept Gastroenterol & Hepatol, 2 Ave Oscar Lambret, Lille, France
[3] Philips Healthcare, CT Clin Sci, Paris, France
[4] Philips Healthcare, CT Clin Sci, Haifa, Israel
[5] Valenciennes Hosp Ctr, Med Imaging Dept, 114 Ave Desandrouin, Valenciennes, France
关键词
Fatty liver; Non-alcoholic fatty liver disease; Radiography (dual-energy scanned projection); Tomography (X-ray computed); MULTIMATERIAL DECOMPOSITION; CT; ASSOCIATION; STEATOSIS; FRACTION; MRI;
D O I
10.1007/s00330-023-10382-z
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesThe purpose of this study was to evaluate a three-material decomposition algorithm for hepatic fat quantification using a dual-layer computed tomography (DL-CT) and MRI as reference standard on a large patient cohort.MethodA total of 104 patients were retrospectively included in our study, i.e., each patient had an MRI exam and a DL-CT exam in our institution within a maximum of 31 days. Four regions of interest (ROIs) were positioned blindly and similarly in the liver, by two independent readers on DL-CT and MRI images. For DL-CT exams, all imaging phases were included. Fat fraction agreement between CT and MRI was performed using intraclass correlation coefficients (ICC), determination coefficients R2, and Bland-Altman plots. Diagnostic performance was determined using sensitivity, specificity, and positive and negative predictive values. The cutoff for steatosis was 5%.ResultsCorrelation between MRI and CT data was excellent for all perfusion phases with ICC calculated at 0.99 for each phase. Determination coefficients R2 were also good for all perfusion phases (about 0.95 for all phases). Performance of DL-CT in the diagnosis of hepatic steatosis was good with sensitivity between 89 and 91% and specificity ranging from 75 to 80%, depending on the perfusion phase. The positive predictive value was ranging from 78 to 93% and the negative predictive value from 82 to 86%.ConclusionMulti-material decomposition in DL-CT allows quantification of hepatic fat fraction with a good correlation to MRI data.Clinical relevance statementThe use of DL-CT allows for detection of hepatic steatosis. This is especially interesting as an opportunistic finding CT performed for other reasons, as early detection can help prevent or slowdown the development of liver metabolic disease.Key Points center dot Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI.center dot Dual-layer CT is accurate to detect hepatic steatosis >= 5%.center dot Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.Key Points center dot Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI.center dot Dual-layer CT is accurate to detect hepatic steatosis >= 5%.center dot Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.Key Points center dot Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI.center dot Dual-layer CT is accurate to detect hepatic steatosis >= 5%.center dot Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.
引用
收藏
页码:3708 / 3718
页数:11
相关论文
共 50 条
  • [1] Detection of Bone Marrow Edema in Patients with Osteoid Osteoma Using Three-Material Decomposition with Dual-Layer Spectral CT
    Gassert, Florian T.
    Hammel, Johannes
    Hofmann, Felix C.
    Neumann, Jan
    von Schacky, Claudio E.
    Gassert, Felix G.
    Pfeiffer, Daniela
    Pfeiffer, Franz
    Makowski, Marcus R.
    Woertler, Klaus
    Gersing, Alexandra S.
    Schwaiger, Benedikt J.
    DIAGNOSTICS, 2021, 11 (06)
  • [2] Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
    Schierenbeck, Marie
    Groezinger, Martin
    Reichardt, Benjamin
    Jansen, Olav
    Kauczor, Hans-Ulrich
    Campbell, Graeme M.
    Sedaghat, Sam
    DIAGNOSTICS, 2023, 13 (17)
  • [3] Quantification of Spinal Bone Marrow Fat Fraction Using Three-Material Decomposition Technique on Dual-Energy CT: A Feasibility Study
    Li, B.
    Hua, N.
    Li, J.
    Andreu-arasa, V.
    Lebedis, C.
    Anderson, S.
    MEDICAL PHYSICS, 2021, 48 (06)
  • [4] Quantification of Hepatic Fat Fraction in Patients With Nonalcoholic Fatty Liver Disease: Comparison of Multimaterial Decomposition Algorithm and Fat (Water)-Based Material Decomposition Algorithm Using Single-Source Dual-Energy Computed Tomography
    Zhang, Qinhe
    Zhao, Ying
    Wu, Jingjun
    Xie, Luhan
    Chen, Anliang
    Liu, Yijun
    Song, Qingwei
    Li, Jianying
    Wu, Tingfan
    Xie, Lizhi
    Liu, Ailian
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2021, 45 (01) : 12 - 17
  • [5] Quantification of spinal bone marrow fat fraction using three-material decomposition technique on dual-energy CT: A phantom study
    Li, Baojun
    Hua, Ning
    Li, Janelle
    Andreu-Arasa, V. Carlota
    LeBedis, Christina
    Anderson, Stephan W.
    MEDICAL PHYSICS, 2023, 50 (07) : 4105 - 4111
  • [6] Fat Quantification in Dual-Layer Detector Spectral Computed Tomography Experimental Development and First In-Patient Validation
    Molwitz, Isabel
    Campbell, Graeme Michael
    Yamamura, Jin
    Knopp, Tobias
    Toedter, Klaus
    Fischer, Roland
    Wang, Zhiyue Jerry
    Busch, Alina
    Ozga, Ann-Kathrin
    Zhang, Shuo
    Lindner, Thomas
    Sevecke, Florian
    Grosser, Mirco
    Adam, Gerhard
    Szwargulski, Patryk
    INVESTIGATIVE RADIOLOGY, 2022, 57 (07) : 463 - 469
  • [7] Three-material decomposition with dual-layer spectral CT compared to MRI for the detection of bone marrow edema in patients with acute vertebral fractures
    Schwaiger, Benedikt J.
    Gersing, Alexandra S.
    Hammel, Johannes
    Mei, Kai
    Kopp, Felix K.
    Kirschke, Jan S.
    Rummeny, Ernst J.
    Woertler, Klaus
    Baum, Thomas
    Noel, Peter B.
    SKELETAL RADIOLOGY, 2018, 47 (11) : 1533 - 1540
  • [8] Perfusion-ventilation CT via three-material differentiation in dual-layer CT: a feasibility study
    Sauter, Andreas P.
    Hammel, Johannes
    Ehn, Sebastian
    Achterhold, Klaus
    Kopp, Felix K.
    Kimm, Melanie A.
    Mei, Kai
    Laugerette, Alexis
    Pfeiffer, Franz
    Rummeny, Ernst J.
    Pfeiffer, Daniela
    Noel, Peter B.
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [9] Three-material decomposition with dual-layer spectral CT compared to MRI for the detection of bone marrow edema in patients with acute vertebral fractures
    Benedikt J. Schwaiger
    Alexandra S. Gersing
    Johannes Hammel
    Kai Mei
    Felix K. Kopp
    Jan S. Kirschke
    Ernst J. Rummeny
    Klaus Wörtler
    Thomas Baum
    Peter B. Noël
    Skeletal Radiology, 2018, 47 : 1533 - 1540
  • [10] Perfusion-ventilation CT via three-material differentiation in dual-layer CT: a feasibility study
    Andreas P. Sauter
    Johannes Hammel
    Sebastian Ehn
    Klaus Achterhold
    Felix K. Kopp
    Melanie A. Kimm
    Kai Mei
    Alexis Laugerette
    Franz Pfeiffer
    Ernst J. Rummeny
    Daniela Pfeiffer
    Peter B. Noël
    Scientific Reports, 9