Quantification of Hepatic Steatosis on Dual-Energy CT in Comparison With MRI mDIXON-Quant Sequence in Breast Cancer

被引:1
作者
Wang, Xiaoxia [1 ]
Pan, Xianjun [2 ]
Zhou, Wenqi [2 ]
Jing, Zhouhong [2 ]
Yu, Feng [2 ]
Wang, Yali [2 ]
Zeng, Junjie [2 ]
Wu, Jiaxing [3 ]
Zeng, Xiaohua [2 ,4 ]
Zhang, Jiuquan [1 ]
机构
[1] Chongqing Univ, Canc Hosp, Dept Radiol, Chongqing Key Lab Intelligent Oncol Breast Canc iC, 181 Hanyu Rd, Chongqing 400030, Peoples R China
[2] Chongqing Univ, Canc Hosp, Breast Canc Ctr, Chongqing, Peoples R China
[3] Siemens Healthineers, Shanghai, Peoples R China
[4] Chongqing Univ, Canc Hosp, Dept Breast Canc Ctr, 181 Hanyu Rd, Chongqing 400030, Peoples R China
关键词
breast neoplasms; fatty liver; drug therapy; tomography; x-ray computed; magnetic resonance imaging; FATTY LIVER-DISEASE; MULTIMATERIAL DECOMPOSITION ALGORITHM; FRACTION; PREVALENCE; DIAGNOSIS;
D O I
10.1097/RCT.0000000000001529
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
Objective: The study aimed to evaluate the correlation and diagnostic value of liver fat quantification in unenhanced dual-energy CT (DECT) using quantitative magnetic resonance imaging (MRI) mDIXON-Quant sequence as reference standard in patients with breast cancer.Methods: Patients with breast cancer were prospectively recruited between June 2018 and April 2020. Each patient underwent liver DECT and MRI mDIXON-Quant examination. The DECT-fat volume fraction (FVF) and liver-spleen attenuation differences were compared with the MRI-proton density fat fraction using scatterplots, Bland-Altman plots, and concordance correlation coefficient. Receiver operating characteristic curves were established to determine the diagnostic accuracy of hepatic steatosis by DECT.Results: A total of 216 patients with breast cancer (mean age, 50.08 +/- 9.33 years) were evaluated. The DECT-FVF correlated well with MRI-proton density fat fraction (r(2) = 0.902; P < 0.001), which was higher than the difference in liver-spleen attenuation (r(2) = 0.728; P < 0.001). Bland-Altman analysis revealed slight positive bias; the mean difference was 3.986. The DECT-FVF yielded an average concordance correlation coefficient of 0.677, which was higher than the difference of liver-spleen attenuation (-0.544). The DECT-FVF and the difference in liver-spleen attenuation both lead to mild overestimation of hepatic steatosis. The areas under the curve of DECT-FVF (0.956) were higher than the difference in liver-spleen attenuation (0.807) in identifying hepatic steatosis (P < 0.001).Conclusions: Dual-energy CT-FVF may serve as a reliable screening and quantitative tool for hepatic steatosis in patients with breast cancer.
引用
收藏
页码:64 / 71
页数:8
相关论文
共 33 条
  • [21] Dual-Energy CT Material Decomposition: The Value in the Detection of Lymph Node Metastasis from Breast Cancer
    Yel, Ibrahim
    D'Angelo, Tommaso
    Gruenewald, Leon D.
    Koch, Vitali
    Golbach, Rejane
    Mahmoudi, Scherwin
    Ascenti, Giorgio
    Blandino, Alfredo
    Vogl, Thomas J.
    Booz, Christian
    Bucolo, Giuseppe M.
    DIAGNOSTICS, 2024, 14 (05)
  • [22] Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI
    Peng Wang
    Zuohua Tang
    Zebin Xiao
    Rujian Hong
    Rong Wang
    Yuzhe Wang
    Yang Zhan
    European Radiology, 2022, 32 : 1095 - 1105
  • [23] Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI
    Wang, Peng
    Tang, Zuohua
    Xiao, Zebin
    Hong, Rujian
    Wang, Rong
    Wang, Yuzhe
    Zhan, Yang
    EUROPEAN RADIOLOGY, 2022, 32 (02) : 1095 - 1105
  • [24] Impact of Dual-Energy CT Postprocessing Protocol for the Detection of Gouty Arthritis and Quantification of Tophi in Patients Presenting With Podagra: Comparison With Ultrasound
    Strobl, Sylvia
    Kremser, Christian
    Taljanovic, Mihra
    Gruber, Johann
    Stofferin, Hannes
    Bellmann-Weiler, Rosa
    Klauser, Andrea Sabine
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 213 (06) : 1315 - 1323
  • [25] Dual-phase dual-energy CT in patients with lung cancer: assessment of the additional value of iodine quantification in lymph node therapy response
    Baxa, Jan
    Vondrakova, Alena
    Matouskova, Tana
    Ruzickova, Olga
    Schmidt, Bernhard
    Flohr, Thomas
    Sedlmair, Martin
    Ferda, Jiri
    EUROPEAN RADIOLOGY, 2014, 24 (08) : 1981 - 1988
  • [26] Dual-energy CT in vertebral compression fractures: performance of visual and quantitative analysis for bone marrow edema demonstration with comparison to MRI
    Bierry, Guillaume
    Venkatasamy, Aina
    Kremer, Stephane
    Dosch, Jean-Claude
    Dietemann, Jean-Louis
    SKELETAL RADIOLOGY, 2014, 43 (04) : 485 - 492
  • [27] Comparison of contrast-enhanced CT, dual-layer detector spectral CT, and whole-body MRI in suspected metastatic breast cancer: a prospective diagnostic accuracy study
    Buus, Thomas Winther
    Rasmussen, Finn
    Nellemann, Hanne Marie
    Logager, Vibeke
    Jensen, Anders Bonde
    Hauerslev, Katrine Rye
    Christiansen, Peer
    Pedersen, Erik Morre
    EUROPEAN RADIOLOGY, 2021, 31 (12) : 8838 - 8849
  • [28] Dual-energy CT parameters in correlation to MRI-based apparent diffusion coefficient: evaluation in rectal cancer after radiochemotherapy
    Sauter, Andreas P.
    Koessinger, Antonia
    Beck, Stefanie
    Deniffel, Dominik
    Dapper, Hendrik
    Combs, Stephanie E.
    Rummeny, Ernst J.
    Pfeiffer, Daniela
    ACTA RADIOLOGICA OPEN, 2020, 9 (09)
  • [29] Diffusion-weighted MRI for detection of hepatic osteodystrophy in primary sclerosing cholangitis: a comparison study with dual-energy X-ray absorptiometry
    Keller, Sarah
    Ittrich, Harald
    Schramm, Christoph
    Lohse, Ansgar W.
    Amling, Michael
    Adam, Gerhard
    Yamamura, Jin
    JAPANESE JOURNAL OF RADIOLOGY, 2016, 34 (10) : 677 - 683
  • [30] Dual-energy Computed Tomography Iodine Map for Breast Cancer: Comparison With Dynamic Contrast-enhanced Magnetic Resonance Imaging
    Goda, Noriko
    Funakoshi, Mahito
    Ono, Chiaki
    Mukaida, Hidenori
    Kaneko, Mayumi
    ANTICANCER RESEARCH, 2023, 43 (09) : 4133 - 4142