<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT04429100</url>
  </required_header>
  <id_info>
    <org_study_id>2019.660</org_study_id>
    <nct_id>NCT04429100</nct_id>
  </id_info>
  <brief_title>Rapid Breath-hold Quantitative Macromolecular Proton Fraction Imaging for Liver Fibrosis</brief_title>
  <official_title>Assessment of Fibrosis by Non-invasive Quantitative Imaging of Collagen in the Liver Using Breath-hold MRI With Comparison With MR Elastography and Liver Biopsy</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Chinese University of Hong Kong</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>Chinese University of Hong Kong</source>
  <oversight_info>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      Chronic liver disease is a major health problem worldwide. Liver fibrosis is a key feature in&#xD;
      most chronic liver diseases. When identified early, liver fibrosis may be reversible.&#xD;
      Currently, liver biopsy is the gold standard for the diagnosis of liver fibrosis. Liver&#xD;
      biopsy; however, is invasive. Non-invasive diagnostic tools are increasingly used in clinical&#xD;
      practice. However, the existing noninvasive methods still have significant limitations to&#xD;
      detect early-stage liver fibrosis.&#xD;
&#xD;
      Liver fibrosis is characterized by excessive deposition of collagen-rich connective tissues&#xD;
      in the liver. The macromolecular proton fraction (MPF) is an MRI parameter which&#xD;
      characterizes the magnetization transfer (MT) effect in tissues. Quantitative MPF imaging is&#xD;
      non-invasive and can be used to measure collagen deposition in the liver due to the strong MT&#xD;
      effect of collagen. It has been reported MPF quantification can be used for diagnosis of&#xD;
      early-stage liver fibrosis. However, the existing approaches require B1, B0, and T1 map in&#xD;
      addition to the imaging data for MPF quantification, which makes it challenging to adopt them&#xD;
      for routine clinical use.&#xD;
&#xD;
      The investigators propose a fast and robust MPF quantification approach. In contrast to the&#xD;
      existing methods which rely on saturation radiofrequency pulses for MPF quantification, our&#xD;
      approach is based on spin-lock radiofrequency pulses which have minimum Rabi oscillations.&#xD;
      The whole imaging data can be acquired within a breath-hold less than 8 seconds. Our approach&#xD;
      only needs a B1 map in addition to the imaging data for MPF quantification. The preliminary&#xD;
      clinical studies on 3.0T MRI show the measurement using our approach is specific to collagen&#xD;
      content and can be used to detect early-stage liver fibrosis. To further confirm the clinical&#xD;
      value of the proposed approach, the investigators will investigate the relationship of the&#xD;
      collagen content measured using the proposed non-invasive imaging approach and those measured&#xD;
      based on morphometry analysis of histology, and determine the diagnostic value of the&#xD;
      proposed method for detection of early stage liver fibrosis in a large cohort. The&#xD;
      investigators will also perform comparative studies of the proposed method and the&#xD;
      state-of-the-art quantitative MPF imaging technique.&#xD;
&#xD;
      This project will provide a diagnostic technology for early detection of liver fibrosis. The&#xD;
      proposed MRI technology also has potential to be used for other clinical purposes.&#xD;
    </textblock>
  </brief_summary>
  <overall_status>Recruiting</overall_status>
  <start_date type="Actual">March 1, 2021</start_date>
  <completion_date type="Anticipated">June 30, 2024</completion_date>
  <primary_completion_date type="Anticipated">December 31, 2023</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Retrospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>diagnostic accuracy</measure>
    <time_frame>3 years</time_frame>
    <description>diagnostic accuracy of quantitative macromolecular proton fraction imaging based on spin-lock (MPF-SL) for detecting early-stage liver fibrosis.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>correlation coefficient</measure>
    <time_frame>3 years</time_frame>
    <description>correlations between the MPF quantification and the morphometric scores</description>
  </secondary_outcome>
  <number_of_groups>3</number_of_groups>
  <enrollment type="Anticipated">200</enrollment>
  <condition>Liver Fibrosis</condition>
  <arm_group>
    <arm_group_label>liver fibrosis stage F0</arm_group_label>
  </arm_group>
  <arm_group>
    <arm_group_label>early-stage liver fibrosis (F1-2)</arm_group_label>
  </arm_group>
  <arm_group>
    <arm_group_label>late-stage liver fibrosis (F3-4)</arm_group_label>
  </arm_group>
  <intervention>
    <intervention_type>Diagnostic Test</intervention_type>
    <intervention_name>Magnetic Resonance Imaging</intervention_name>
    <description>One novel MRI sequence, i.e. the quantitative imaging of macromolecular proton fraction (MPF), will be introduced into this study. MPF is defined as the relative amount of protons associated with macromolecules involved in magnetization exchange with free water protons. This parameter is independent of the pool model used for quantification and the pulse sequences used for data acquisition. Recent studies have found a strong association between MPF and collagen content in the fibrotic liver, indicating MPF is a potential biomarker of early-stage liver fibrosis.</description>
    <arm_group_label>early-stage liver fibrosis (F1-2)</arm_group_label>
    <arm_group_label>late-stage liver fibrosis (F3-4)</arm_group_label>
    <arm_group_label>liver fibrosis stage F0</arm_group_label>
  </intervention>
  <eligibility>
    <study_pop>
      <textblock>
        The patients referred to hepatology center affiliated to The Chinese University of Hong&#xD;
        Kong (CUHK) will be enrolled in this study. The research team led by one hepatologist as&#xD;
        one of our collaborators will be responsible for patient recruitment.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          1. Patient group&#xD;
&#xD;
               -  patients with histology-proven liver fibrosis, including those with liver&#xD;
                  fibrosis stage F0, early-stage liver fibrosis (F1-2), and late stage.&#xD;
&#xD;
             liver fibrosis(F3-4).&#xD;
&#xD;
               -  patient aged 18 years old and above.&#xD;
&#xD;
          2. Healthy control group&#xD;
&#xD;
               -  controls aged 18 years old and above.&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Contraindications to MRI, such as cardiac pacemaker, claustrophobia, pregnancy,&#xD;
             metallic implants not suitable for MRI scan.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>N/A</minimum_age>
    <maximum_age>N/A</maximum_age>
  </eligibility>
  <overall_contact>
    <last_name>Weitian Chen, PhD</last_name>
    <phone>3505 1036</phone>
    <email>wtchen@cuhk.edu.hk</email>
  </overall_contact>
  <location>
    <facility>
      <name>The Chinese University of Hong Kong, Prince of Wale Hospital</name>
      <address>
        <city>Hong Kong</city>
        <state>Shatin</state>
        <country>Hong Kong</country>
      </address>
    </facility>
    <status>Recruiting</status>
    <contact>
      <last_name>Weitian Chen, PhD</last_name>
      <phone>35051036</phone>
      <email>wtchen@cuhk.edu.hk</email>
    </contact>
  </location>
  <location_countries>
    <country>Hong Kong</country>
  </location_countries>
  <reference>
    <citation>Sandrin L, Fourquet B, Hasquenoph JM, Yon S, Fournier C, Mal F, Christidis C, Ziol M, Poulet B, Kazemi F, Beaugrand M, Palau R. Transient elastography: a new noninvasive method for assessment of hepatic fibrosis. Ultrasound Med Biol. 2003 Dec;29(12):1705-13. doi: 10.1016/j.ultrasmedbio.2003.07.001.</citation>
    <PMID>14698338</PMID>
  </reference>
  <reference>
    <citation>Yin M, Talwalkar JA, Glaser KJ, Manduca A, Grimm RC, Rossman PJ, Fidler JL, Ehman RL. Assessment of hepatic fibrosis with magnetic resonance elastography. Clin Gastroenterol Hepatol. 2007 Oct;5(10):1207-1213.e2. doi: 10.1016/j.cgh.2007.06.012.</citation>
    <PMID>17916548</PMID>
  </reference>
  <reference>
    <citation>Huwart L, Sempoux C, Vicaut E, Salameh N, Annet L, Danse E, Peeters F, ter Beek LC, Rahier J, Sinkus R, Horsmans Y, Van Beers BE. Magnetic resonance elastography for the noninvasive staging of liver fibrosis. Gastroenterology. 2008 Jul;135(1):32-40. doi: 10.1053/j.gastro.2008.03.076. Epub 2008 Apr 4.</citation>
    <PMID>18471441</PMID>
  </reference>
  <reference>
    <citation>Heye T, Yang SR, Bock M, Brost S, Weigand K, Longerich T, Kauczor HU, Hosch W. MR relaxometry of the liver: significant elevation of T1 relaxation time in patients with liver cirrhosis. Eur Radiol. 2012 Jun;22(6):1224-32. doi: 10.1007/s00330-012-2378-5. Epub 2012 Feb 3.</citation>
    <PMID>22302503</PMID>
  </reference>
  <reference>
    <citation>Banerjee R, Pavlides M, Tunnicliffe EM, Piechnik SK, Sarania N, Philips R, Collier JD, Booth JC, Schneider JE, Wang LM, Delaney DW, Fleming KA, Robson MD, Barnes E, Neubauer S. Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J Hepatol. 2014 Jan;60(1):69-77. doi: 10.1016/j.jhep.2013.09.002. Epub 2013 Sep 12.</citation>
    <PMID>24036007</PMID>
  </reference>
  <reference>
    <citation>Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, Mazhar S, Peterson M, Kono Y, Santillan C, Casola G, Sirlin CB. MR imaging of liver fibrosis: current state of the art. Radiographics. 2009 Oct;29(6):1615-35. doi: 10.1148/rg.296095512.</citation>
    <PMID>19959511</PMID>
  </reference>
  <reference>
    <citation>Tan CH, Venkatesh SK. Magnetic Resonance Elastography and Other Magnetic Resonance Imaging Techniques in Chronic Liver Disease: Current Status and Future Directions. Gut Liver. 2016 Sep 15;10(5):672-86. doi: 10.5009/gnl15492.</citation>
    <PMID>27563019</PMID>
  </reference>
  <reference>
    <citation>Imajo K, Kessoku T, Honda Y, Tomeno W, Ogawa Y, Mawatari H, Fujita K, Yoneda M, Taguri M, Hyogo H, Sumida Y, Ono M, Eguchi Y, Inoue T, Yamanaka T, Wada K, Saito S, Nakajima A. Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography. Gastroenterology. 2016 Mar;150(3):626-637.e7. doi: 10.1053/j.gastro.2015.11.048. Epub 2015 Dec 8.</citation>
    <PMID>26677985</PMID>
  </reference>
  <reference>
    <citation>Park CC, Nguyen P, Hernandez C, Bettencourt R, Ramirez K, Fortney L, Hooker J, Sy E, Savides MT, Alquiraish MH, Valasek MA, Rizo E, Richards L, Brenner D, Sirlin CB, Loomba R. Magnetic Resonance Elastography vs Transient Elastography in Detection of Fibrosis and Noninvasive Measurement of Steatosis in Patients With Biopsy-Proven Nonalcoholic Fatty Liver Disease. Gastroenterology. 2017 Feb;152(3):598-607.e2. doi: 10.1053/j.gastro.2016.10.026. Epub 2016 Oct 27.</citation>
    <PMID>27911262</PMID>
  </reference>
  <reference>
    <citation>Castera L, Foucher J, Bernard PH, Carvalho F, Allaix D, Merrouche W, Couzigou P, de Ledinghen V. Pitfalls of liver stiffness measurement: a 5-year prospective study of 13,369 examinations. Hepatology. 2010 Mar;51(3):828-35. doi: 10.1002/hep.23425.</citation>
    <PMID>20063276</PMID>
  </reference>
  <reference>
    <citation>Arena U, Vizzutti F, Corti G, Ambu S, Stasi C, Bresci S, Moscarella S, Boddi V, Petrarca A, Laffi G, Marra F, Pinzani M. Acute viral hepatitis increases liver stiffness values measured by transient elastography. Hepatology. 2008 Feb;47(2):380-4. doi: 10.1002/hep.22007.</citation>
    <PMID>18095306</PMID>
  </reference>
  <reference>
    <citation>Stikov N, Keenan KE, Pauly JM, Smith RL, Dougherty RF, Gold GE. Cross-relaxation imaging of human articular cartilage. Magn Reson Med. 2011 Sep;66(3):725-34. doi: 10.1002/mrm.22865. Epub 2011 Mar 17.</citation>
    <PMID>21416504</PMID>
  </reference>
  <reference>
    <citation>Sritanyaratana N, Samsonov A, Mossahebi P, Wilson JJ, Block WF, Kijowski R. Cross-relaxation imaging of human patellar cartilage in vivo at 3.0T. Osteoarthritis Cartilage. 2014 Oct;22(10):1568-76. doi: 10.1016/j.joca.2014.06.004.</citation>
    <PMID>25278066</PMID>
  </reference>
  <reference>
    <citation>Yarnykh VL, Tartaglione EV, Ioannou GN. Fast macromolecular proton fraction mapping of the human liver in vivo for quantitative assessment of hepatic fibrosis. NMR Biomed. 2015 Dec;28(12):1716-25. doi: 10.1002/nbm.3437. Epub 2015 Oct 27.</citation>
    <PMID>26503401</PMID>
  </reference>
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    <citation>Sled JG, Pike GB. Quantitative imaging of magnetization transfer exchange and relaxation properties in vivo using MRI. Magn Reson Med. 2001 Nov;46(5):923-31. doi: 10.1002/mrm.1278.</citation>
    <PMID>11675644</PMID>
  </reference>
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    <citation>Ramani A, Dalton C, Miller DH, Tofts PS, Barker GJ. Precise estimate of fundamental in-vivo MT parameters in human brain in clinically feasible times. Magn Reson Imaging. 2002 Dec;20(10):721-31. doi: 10.1016/s0730-725x(02)00598-2.</citation>
    <PMID>12591568</PMID>
  </reference>
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    <citation>Yarnykh VL. Pulsed Z-spectroscopic imaging of cross-relaxation parameters in tissues for human MRI: theory and clinical applications. Magn Reson Med. 2002 May;47(5):929-39. doi: 10.1002/mrm.10120.</citation>
    <PMID>11979572</PMID>
  </reference>
  <reference>
    <citation>Gochberg DF, Gore JC. Quantitative magnetization transfer imaging via selective inversion recovery with short repetition times. Magn Reson Med. 2007 Feb;57(2):437-41. doi: 10.1002/mrm.21143. Erratum In: Magn Reson Med. 2008 Nov;60(5):1267.</citation>
    <PMID>17260381</PMID>
  </reference>
  <reference>
    <citation>Gloor M, Scheffler K, Bieri O. Quantitative magnetization transfer imaging using balanced SSFP. Magn Reson Med. 2008 Sep;60(3):691-700. doi: 10.1002/mrm.21705.</citation>
    <PMID>18727085</PMID>
  </reference>
  <reference>
    <citation>Helms G, Hagberg GE. In vivo quantification of the bound pool T1 in human white matter using the binary spin-bath model of progressive magnetization transfer saturation. Phys Med Biol. 2009 Dec 7;54(23):N529-40. doi: 10.1088/0031-9155/54/23/N01. Epub 2009 Nov 11.</citation>
    <PMID>19904029</PMID>
  </reference>
  <reference>
    <citation>Soellinger M, Langkammer C, Seifert-Held T, Fazekas F, Ropele S. Fast bound pool fraction mapping using stimulated echoes. Magn Reson Med. 2011 Sep;66(3):717-24. doi: 10.1002/mrm.22846. Epub 2011 Mar 24.</citation>
    <PMID>21437973</PMID>
  </reference>
  <reference>
    <citation>Yarnykh VL. Fast macromolecular proton fraction mapping from a single off-resonance magnetization transfer measurement. Magn Reson Med. 2012 Jul;68(1):166-78. doi: 10.1002/mrm.23224. Epub 2011 Dec 21.</citation>
    <PMID>22190042</PMID>
  </reference>
  <reference>
    <citation>Nehrke K, Bornert P. DREAM--a novel approach for robust, ultrafast, multislice B(1) mapping. Magn Reson Med. 2012 Nov;68(5):1517-26. doi: 10.1002/mrm.24158. Epub 2012 Jan 17.</citation>
    <PMID>22252850</PMID>
  </reference>
  <reference>
    <citation>Wong GL, Wong VW, Choi PC, Chan AW, Chum RH, Chan HK, Lau KK, Chim AM, Yiu KK, Chan FK, Sung JJ, Chan HL. Assessment of fibrosis by transient elastography compared with liver biopsy and morphometry in chronic liver diseases. Clin Gastroenterol Hepatol. 2008 Sep;6(9):1027-35. doi: 10.1016/j.cgh.2008.02.038. Epub 2008 May 5.</citation>
    <PMID>18456573</PMID>
  </reference>
  <verification_date>February 2023</verification_date>
  <study_first_submitted>June 10, 2020</study_first_submitted>
  <study_first_submitted_qc>June 10, 2020</study_first_submitted_qc>
  <study_first_posted type="Actual">June 12, 2020</study_first_posted>
  <last_update_submitted>February 7, 2023</last_update_submitted>
  <last_update_submitted_qc>February 7, 2023</last_update_submitted_qc>
  <last_update_posted type="Actual">February 8, 2023</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>Chinese University of Hong Kong</investigator_affiliation>
    <investigator_full_name>Chen Weitian</investigator_full_name>
    <investigator_title>Professor</investigator_title>
  </responsible_party>
  <keyword>magnetic resonance imaging</keyword>
  <keyword>quantitative imaging</keyword>
  <keyword>spin-lock</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Liver Cirrhosis</mesh_term>
    <mesh_term>Fibrosis</mesh_term>
  </condition_browse>
  <patient_data>
    <sharing_ipd>No</sharing_ipd>
  </patient_data>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT04429100
org study id: 2019.660
nct id: NCT04429100
lead sponsor: 
is fda regulated drug: No
is fda regulated device: No
Chronic liver disease is a major health problem worldwide. Liver fibrosis is a key feature in
      most chronic liver diseases. When identified early, liver fibrosis may be reversible.
      Currently, liver biopsy is the gold standard for the diagnosis of liver fibrosis. Liver
      biopsy; however, is invasive. Non-invasive diagnostic tools are increasingly used in clinical
      practice. However, the existing noninvasive methods still have significant limitations to
      detect early-stage liver fibrosis.

      Liver fibrosis is characterized by excessive deposition of collagen-rich connective tissues
      in the liver. The macromolecular proton fraction (MPF) is an MRI parameter which
      characterizes the magnetization transfer (MT) effect in tissues. Quantitative MPF imaging is
      non-invasive and can be used to measure collagen deposition in the liver due to the strong MT
      effect of collagen. It has been reported MPF quantification can be used for diagnosis of
      early-stage liver fibrosis. However, the existing approaches require B1, B0, and T1 map in
      addition to the imaging data for MPF quantification, which makes it challenging to adopt them
      for routine clinical use.

      The investigators propose a fast and robust MPF quantification approach. In contrast to the
      existing methods which rely on saturation radiofrequency pulses for MPF quantification, our
      approach is based on spin-lock radiofrequency pulses which have minimum Rabi oscillations.
      The whole imaging data can be acquired within a breath-hold less than 8 seconds. Our approach
      only needs a B1 map in addition to the imaging data for MPF quantification. The preliminary
      clinical studies on 3.0T MRI show the measurement using our approach is specific to collagen
      content and can be used to detect early-stage liver fibrosis. To further confirm the clinical
      value of the proposed approach, the investigators will investigate the relationship of the
      collagen content measured using the proposed non-invasive imaging approach and those measured
      based on morphometry analysis of histology, and determine the diagnostic value of the
      proposed method for detection of early stage liver fibrosis in a large cohort. The
      investigators will also perform comparative studies of the proposed method and the
      state-of-the-art quantitative MPF imaging technique.

      This project will provide a diagnostic technology for early detection of liver fibrosis. The
      proposed MRI technology also has potential to be used for other clinical purposes.
observational model: Cohort
time perspective: Retrospective
measure: diagnostic accuracy
time frame: 3 years
description: diagnostic accuracy of quantitative macromolecular proton fraction imaging based on spin-lock (MPF-SL) for detecting early-stage liver fibrosis.
measure: correlation coefficient
time frame: 3 years
description: correlations between the MPF quantification and the morphometric scores
arm group label: liver fibrosis stage F0
arm group label: early-stage liver fibrosis (F1-2)
arm group label: late-stage liver fibrosis (F3-4)
intervention type: Diagnostic Test
intervention name: Magnetic Resonance Imaging
description: One novel MRI sequence, i.e. the quantitative imaging of macromolecular proton fraction (MPF), will be introduced into this study. MPF is defined as the relative amount of protons associated with macromolecules involved in magnetization exchange with free water protons. This parameter is independent of the pool model used for quantification and the pulse sequences used for data acquisition. Recent studies have found a strong association between MPF and collagen content in the fibrotic liver, indicating MPF is a potential biomarker of early-stage liver fibrosis.
arm group label: early-stage liver fibrosis (F1-2)
arm group label: late-stage liver fibrosis (F3-4)
arm group label: liver fibrosis stage F0
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: N/A
maximum age: N/A
last name: Weitian Chen, PhD
phone: 3505 1036
email: wtchen@cuhk.edu.hk
facility: 
status: Recruiting
contact: 
country: Hong Kong
citation: Sandrin L, Fourquet B, Hasquenoph JM, Yon S, Fournier C, Mal F, Christidis C, Ziol M, Poulet B, Kazemi F, Beaugrand M, Palau R. Transient elastography: a new noninvasive method for assessment of hepatic fibrosis. Ultrasound Med Biol. 2003 Dec;29(12):1705-13. doi: 10.1016/j.ultrasmedbio.2003.07.001.
PMID: 14698338
citation: Yin M, Talwalkar JA, Glaser KJ, Manduca A, Grimm RC, Rossman PJ, Fidler JL, Ehman RL. Assessment of hepatic fibrosis with magnetic resonance elastography. Clin Gastroenterol Hepatol. 2007 Oct;5(10):1207-1213.e2. doi: 10.1016/j.cgh.2007.06.012.
PMID: 17916548
citation: Huwart L, Sempoux C, Vicaut E, Salameh N, Annet L, Danse E, Peeters F, ter Beek LC, Rahier J, Sinkus R, Horsmans Y, Van Beers BE. Magnetic resonance elastography for the noninvasive staging of liver fibrosis. Gastroenterology. 2008 Jul;135(1):32-40. doi: 10.1053/j.gastro.2008.03.076. Epub 2008 Apr 4.
PMID: 18471441
citation: Heye T, Yang SR, Bock M, Brost S, Weigand K, Longerich T, Kauczor HU, Hosch W. MR relaxometry of the liver: significant elevation of T1 relaxation time in patients with liver cirrhosis. Eur Radiol. 2012 Jun;22(6):1224-32. doi: 10.1007/s00330-012-2378-5. Epub 2012 Feb 3.
PMID: 22302503
citation: Banerjee R, Pavlides M, Tunnicliffe EM, Piechnik SK, Sarania N, Philips R, Collier JD, Booth JC, Schneider JE, Wang LM, Delaney DW, Fleming KA, Robson MD, Barnes E, Neubauer S. Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. J Hepatol. 2014 Jan;60(1):69-77. doi: 10.1016/j.jhep.2013.09.002. Epub 2013 Sep 12.
PMID: 24036007
citation: Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, Mazhar S, Peterson M, Kono Y, Santillan C, Casola G, Sirlin CB. MR imaging of liver fibrosis: current state of the art. Radiographics. 2009 Oct;29(6):1615-35. doi: 10.1148/rg.296095512.
PMID: 19959511
citation: Tan CH, Venkatesh SK. Magnetic Resonance Elastography and Other Magnetic Resonance Imaging Techniques in Chronic Liver Disease: Current Status and Future Directions. Gut Liver. 2016 Sep 15;10(5):672-86. doi: 10.5009/gnl15492.
PMID: 27563019
citation: Imajo K, Kessoku T, Honda Y, Tomeno W, Ogawa Y, Mawatari H, Fujita K, Yoneda M, Taguri M, Hyogo H, Sumida Y, Ono M, Eguchi Y, Inoue T, Yamanaka T, Wada K, Saito S, Nakajima A. Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography. Gastroenterology. 2016 Mar;150(3):626-637.e7. doi: 10.1053/j.gastro.2015.11.048. Epub 2015 Dec 8.
PMID: 26677985
citation: Park CC, Nguyen P, Hernandez C, Bettencourt R, Ramirez K, Fortney L, Hooker J, Sy E, Savides MT, Alquiraish MH, Valasek MA, Rizo E, Richards L, Brenner D, Sirlin CB, Loomba R. Magnetic Resonance Elastography vs Transient Elastography in Detection of Fibrosis and Noninvasive Measurement of Steatosis in Patients With Biopsy-Proven Nonalcoholic Fatty Liver Disease. Gastroenterology. 2017 Feb;152(3):598-607.e2. doi: 10.1053/j.gastro.2016.10.026. Epub 2016 Oct 27.
PMID: 27911262
citation: Castera L, Foucher J, Bernard PH, Carvalho F, Allaix D, Merrouche W, Couzigou P, de Ledinghen V. Pitfalls of liver stiffness measurement: a 5-year prospective study of 13,369 examinations. Hepatology. 2010 Mar;51(3):828-35. doi: 10.1002/hep.23425.
PMID: 20063276
citation: Arena U, Vizzutti F, Corti G, Ambu S, Stasi C, Bresci S, Moscarella S, Boddi V, Petrarca A, Laffi G, Marra F, Pinzani M. Acute viral hepatitis increases liver stiffness values measured by transient elastography. Hepatology. 2008 Feb;47(2):380-4. doi: 10.1002/hep.22007.
PMID: 18095306
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responsible party type: Principal Investigator
investigator affiliation: Chinese University of Hong Kong
investigator full name: Chen Weitian
investigator title: Professor
mesh term: Liver Cirrhosis
mesh term: Fibrosis
sharing ipd: No