Your browser doesn't support javascript.
loading
Using MRI to non-invasively and accurately quantify preoperative hepatic steatosis.
Clarke, Callisia N; Choi, Haesun; Hou, Ping; Davis, Catherine H; Ma, Jingfei; Rashid, Asif; Vauthey, Jean-Nicolas; Aloia, Thomas A.
Afiliação
  • Clarke CN; Division of Surgical Oncology, Department of Surgery, The Medical College of Wisconsin, Milwaukee, WI, USA.
  • Choi H; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Hou P; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Davis CH; Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Ma J; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Rashid A; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Vauthey JN; Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Aloia TA; Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: taaloia@mdanderson.org.
HPB (Oxford) ; 19(8): 706-712, 2017 08.
Article em En | MEDLINE | ID: mdl-28528267
ABSTRACT

BACKGROUND:

The obesity epidemic has significantly increased the incidence and severity of hepatic steatosis in liver surgery patients and liver donors, potentially impacting postoperative liver regeneration and function. Development of a non-invasive means to quantify hepatic steatosis would facilitate selection of candidates for liver resection and transplant donation.

METHODS:

An IRB-approved protocol prospectively enrolled 28 patients with liver tumors requiring hepatic resection. In all patients, fast dual-echo gradient-echo MR images were acquired using 2-Point Dixon technique in 2D and 3D. The degree of steatosis was quantified by percent fat fraction (%FF) from in- and out-of-phase, and water-only and fat-only images. The technique-specific %FFs were compared to intraoperative and histopathological findings.

RESULTS:

For patients with >30% steatosis by histology, the mean %FF was 22% (SD ± 5.2%) compared to a mean %FF of 5.0% (SD ± 2.1%, p = 0.0001) in patients with <30% steatosis. Using scaled values for the MR-calculated %FF, all patients with >30% pathologic steatosis could be identified preoperatively.

CONCLUSIONS:

Quantitative MRI identified patients with clinically-relevant steatosis with 100% accuracy. These findings could have significant impact on the management of liver resection patients and transplant donors.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Hepatopatia Gordurosa não Alcoólica / Neoplasias Hepáticas Tipo de estudo: Evaluation_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Hepatopatia Gordurosa não Alcoólica / Neoplasias Hepáticas Tipo de estudo: Evaluation_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article