NCT02621853

Brief Summary

Fatty liver disease including liver steatosis (fat deposition) is a major health problem worldwide. It is considered pathological when fat accumulation exceeds 5% of the liver weight. Transplantation represents the ultimate treatment for end stage liver disease. However, the discrepancy between the demand for donor organs and their availability presents one of the greatest hurdles of liver transplantation. Therefore, extended criteria organs have to be considered to overcome this shortcoming. Hepatic steatosis is one of the most important criteria defining extended-criteria donor liver. In liver transplantation, 'severe' fat deposition in donor liver is a major cause of graft failure while 'mild' deposition is considered transplantable and 'moderate' deposition represents the gray zone and remains difficult to assess. Surgeons usually perform a hepatic steatosis assessment during liver donor surgery. However, this method is very subjective and difficult especially when inexperienced surgeons or trainees are concerned. Furthermore, it has recently been documented that the assessment of steatosis is challenging even in the hands of experienced surgeons. Theoretically, a better way to assess steatosis before organ procurement would be a non-invasive imaging technique. However, some of these techniques appear to lack the sensitivity to accurately quantify hepatic fat content while others are complex, expensive and inconvenient to use in the setting of organ procurement. Therefore, liver biopsy remains the reference for grading hepatic steatosis. In daily practice the assessment and quantification of steatosis by a pathologist during organ procurement is more complex related to the lack of availability of dedicated hepatopathologists outside of office hours and in smaller community hospitals. A simple and short technique is therefore required to assess liver steatosis before retrieval. We have recently demonstrated that Raman spectroscopy could provide an accurate, rapid and real-time assessment of hepatic fat content and correlated highly with the gold standard (i.e. histopathological assessment of liver sections) in an animal model of liver steatosis. The purpose of this study is to validate the use of Raman spectroscopy for quantitative assessment of hepatic steatosis. In the hands of the surgeons this device can provide an immediate, robust tool to assess the suitability of donor livers at the site of retrieval prior to liver transplantation.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
3

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Dec 2015

Status
terminated

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 2, 2015

Completed
2 days until next milestone

First Posted

Study publicly available on registry

December 4, 2015

Completed
11 days until next milestone

Study Start

First participant enrolled

December 15, 2015

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 10, 2016

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

March 10, 2017

Completed
Last Updated

August 26, 2024

Status Verified

October 1, 2022

Enrollment Period

3 months

First QC Date

December 2, 2015

Last Update Submit

August 23, 2024

Conditions

Keywords

Steatosis

Outcome Measures

Primary Outcomes (1)

  • Grade of steatosis determined according to the international standards by histopathological assessment of the liver biopsy specimen

    12 months

Study Arms (1)

MRI+RAMAN

OTHER

Patients will undergo an MRI for assessment of the fat content of the liver. Then during surgery, their livers will be illuminated (for a few seconds) by Raman spectroscope (the device in question) to see if MRI findings correlate well with Raman spectroscopy findings.

Device: Raman spectroscopy of the liver

Interventions

Liver will be illuminated by the Raman spectroscope optic probe in order to assess fat content

MRI+RAMAN

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Adult (≥18 years of age), female/male patients who will undergo an open partial liver resection surgery in our institution will be included

You may not qualify if:

  • Patients who are scheduled for a metastasectomy or wedge resection where the margin of normal liver that is expected to be removed is less than 1 cm will be excluded.
  • In addition, patients who have the following will be excluded:
  • Visual and/or mental impairment
  • Coagulation disorder
  • Cardiac pacemaker and/or defibrillator
  • Deep brain stimulator
  • Bullets or gunshot pellets
  • Cerebral aneurysm clips
  • Cochlear implant
  • Magnetic dental implants
  • Drug infusion devices

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (23)

  • Rogier J, Roullet S, Cornelis F, Biais M, Quinart A, Revel P, Bioulac-Sage P, Le Bail B. Noninvasive assessment of macrovesicular liver steatosis in cadaveric donors based on computed tomography liver-to-spleen attenuation ratio. Liver Transpl. 2015 May;21(5):690-5. doi: 10.1002/lt.24105.

    PMID: 25761371BACKGROUND
  • Vetelainen R, van Vliet A, Gouma DJ, van Gulik TM. Steatosis as a risk factor in liver surgery. Ann Surg. 2007 Jan;245(1):20-30. doi: 10.1097/01.sla.0000225113.88433.cf.

    PMID: 17197961BACKGROUND
  • Wertheim JA, Petrowsky H, Saab S, Kupiec-Weglinski JW, Busuttil RW. Major challenges limiting liver transplantation in the United States. Am J Transplant. 2011 Sep;11(9):1773-84. doi: 10.1111/j.1600-6143.2011.03587.x. Epub 2011 Jun 14.

    PMID: 21672146BACKGROUND
  • Durand F, Renz JF, Alkofer B, Burra P, Clavien PA, Porte RJ, Freeman RB, Belghiti J. Report of the Paris consensus meeting on expanded criteria donors in liver transplantation. Liver Transpl. 2008 Dec;14(12):1694-707. doi: 10.1002/lt.21668.

    PMID: 19025925BACKGROUND
  • Yersiz H, Lee C, Kaldas FM, Hong JC, Rana A, Schnickel GT, Wertheim JA, Zarrinpar A, Agopian VG, Gornbein J, Naini BV, Lassman CR, Busuttil RW, Petrowsky H. Assessment of hepatic steatosis by transplant surgeon and expert pathologist: a prospective, double-blind evaluation of 201 donor livers. Liver Transpl. 2013 Apr;19(4):437-49. doi: 10.1002/lt.23615. Epub 2013 Mar 17.

    PMID: 23408461BACKGROUND
  • Sirlin CB. Noninvasive imaging biomarkers for steatosis assessment. Liver Transpl. 2009 Nov;15(11):1389-91. doi: 10.1002/lt.21875. No abstract available.

    PMID: 19877212BACKGROUND
  • Park SH, Kim PN, Kim KW, Lee SW, Yoon SE, Park SW, Ha HK, Lee MG, Hwang S, Lee SG, Yu ES, Cho EY. Macrovesicular hepatic steatosis in living liver donors: use of CT for quantitative and qualitative assessment. Radiology. 2006 Apr;239(1):105-12. doi: 10.1148/radiol.2391050361. Epub 2006 Feb 16.

    PMID: 16484355BACKGROUND
  • Castera L. Non-invasive diagnosis of steatosis and fibrosis. Diabetes Metab. 2008 Dec;34(6 Pt 2):674-9. doi: 10.1016/S1262-3636(08)74603-2.

    PMID: 19195629BACKGROUND
  • Hewitt KC, Ghassemi Rad J, McGregor HC, Brouwers E, Sapp H, Short MA, Fashir SB, Zeng H, Alwayn IP. Accurate assessment of liver steatosis in animal models using a high throughput Raman fiber optic probe. Analyst. 2015 Oct 7;140(19):6602-9. doi: 10.1039/c5an01080b. Epub 2015 Aug 26.

    PMID: 26309909BACKGROUND
  • Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med. 2008 Nov;60(5):1122-34. doi: 10.1002/mrm.21737.

    PMID: 18956464BACKGROUND
  • Bohte AE, van Werven JR, Bipat S, Stoker J. The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis. Eur Radiol. 2011 Jan;21(1):87-97. doi: 10.1007/s00330-010-1905-5. Epub 2010 Jul 31.

    PMID: 20680289BACKGROUND
  • Bravo AA, Sheth SG, Chopra S. Liver biopsy. N Engl J Med. 2001 Feb 15;344(7):495-500. doi: 10.1056/NEJM200102153440706. No abstract available.

    PMID: 11172192BACKGROUND
  • Deroose JP, Kazemier G, Zondervan P, Ijzermans JN, Metselaar HJ, Alwayn IP. Hepatic steatosis is not always a contraindication for cadaveric liver transplantation. HPB (Oxford). 2011 Jun;13(6):417-25. doi: 10.1111/j.1477-2574.2011.00310.x. Epub 2011 Apr 7.

    PMID: 21609375BACKGROUND
  • Spitzer AL, Lao OB, Dick AA, Bakthavatsalam R, Halldorson JB, Yeh MM, Upton MP, Reyes JD, Perkins JD. The biopsied donor liver: incorporating macrosteatosis into high-risk donor assessment. Liver Transpl. 2010 Jul;16(7):874-84. doi: 10.1002/lt.22085.

    PMID: 20583086BACKGROUND
  • Ji R, Li YQ. Diagnosing Helicobacter pylori infection in vivo by novel endoscopic techniques. World J Gastroenterol. 2014 Jul 28;20(28):9314-20. doi: 10.3748/wjg.v20.i28.9314.

    PMID: 25071325BACKGROUND
  • von Rundstedt FC, Lerner SP. New imaging techniques for nonmuscle invasive bladder cancer. Curr Opin Urol. 2014 Sep;24(5):532-9. doi: 10.1097/MOU.0000000000000093.

    PMID: 25051025BACKGROUND
  • Gao L, Wang Z, Li F, Hammoudi AA, Thrall MJ, Cagle PT, Wong ST. Differential diagnosis of lung carcinoma with coherent anti-Stokes Raman scattering imaging. Arch Pathol Lab Med. 2012 Dec;136(12):1502-10. doi: 10.5858/arpa.2012-0238-SA.

    PMID: 23194042BACKGROUND
  • Almond LM, Barr H. Advanced endoscopic imaging in Barrett's oesophagus. Int J Surg. 2012;10(5):236-41. doi: 10.1016/j.ijsu.2012.04.003. Epub 2012 Apr 14.

    PMID: 22510441BACKGROUND
  • Hughes OR, Stone N, Kraft M, Arens C, Birchall MA. Optical and molecular techniques to identify tumor margins within the larynx. Head Neck. 2010 Nov;32(11):1544-53. doi: 10.1002/hed.21321.

    PMID: 20091681BACKGROUND
  • Schaar JA, Mastik F, Regar E, den Uil CA, Gijsen FJ, Wentzel JJ, Serruys PW, van der Stehen AF. Current diagnostic modalities for vulnerable plaque detection. Curr Pharm Des. 2007;13(10):995-1001. doi: 10.2174/138161207780487511.

    PMID: 17430163BACKGROUND
  • DaCosta RS, Wilson BC, Marcon NE. Optical techniques for the endoscopic detection of dysplastic colonic lesions. Curr Opin Gastroenterol. 2005 Jan;21(1):70-9.

    PMID: 15687888BACKGROUND
  • Lui H, Zhao J, McLean D, Zeng H. Real-time Raman spectroscopy for in vivo skin cancer diagnosis. Cancer Res. 2012 May 15;72(10):2491-500. doi: 10.1158/0008-5472.CAN-11-4061. Epub 2012 Mar 20.

    PMID: 22434431BACKGROUND
  • Markin RS, Wisecarver JL, Radio SJ, Stratta RJ, Langnas AN, Hirst K, Shaw BW Jr. Frozen section evaluation of donor livers before transplantation. Transplantation. 1993 Dec;56(6):1403-9. doi: 10.1097/00007890-199312000-00025.

    PMID: 7506453BACKGROUND

MeSH Terms

Conditions

Fatty Liver

Condition Hierarchy (Ancestors)

Liver DiseasesDigestive System Diseases

Study Officials

  • Ian Alwayn, MD

    Dalhousie University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 2, 2015

First Posted

December 4, 2015

Study Start

December 15, 2015

Primary Completion

March 10, 2016

Study Completion

March 10, 2017

Last Updated

August 26, 2024

Record last verified: 2022-10