• European radiology · Apr 2017

    Hepatic stiffness measurement by using MR elastography: prognostic values after hepatic resection for hepatocellular carcinoma.

    • Dong Ho Lee, Jeong Min Lee, Nam-Joon Yi, Kwang-Woong Lee, Kyung-Suk Suh, Jeong-Hoon Lee, Kyung Bun Lee, and Joon Koo Han.
    • Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, Seoul, 110-744, Korea.
    • Eur Radiol. 2017 Apr 1; 27 (4): 1713-1721.

    PurposeTo evaluate prognostic value of hepatic stiffness (HS) measurement using MR elastography (MRE) in patients with hepatocellular carcinoma (HCC) treated by hepatic resection (HR).MethodsWe enrolled 144 patients with Barcelona Clinic Liver Cancer stage A HCCs initially treated by HR who underwent preoperative liver MRE between January 2010 and June 2013. HS values were measured using MRE. Receiver operating characteristics (ROC) and multivariate logistic regression analyses were used to determine significant predictive factors for posthepatecomy liver failure (PHLF). Overall survival (OS) was analyzed by evaluating prognostic factors using the Kaplan-Meier method and Cox proportional hazard regression model.ResultsAfter HR, 43 patients (29.9 %) experienced PHLF. HS values were significant predictive factors for PHLF. In ROC analysis, the area under the curve of HS was 0.740 (P = 0.001) for PHLF. Thirty-one patients had HS values ≥ 4.02 kPa; the estimated 1, 3, 5-year survival were 90.0 %, 74.7 % and 65.4 %, respectively, versus 98.1 %, 96.5 % and 96.5 % in 113 patients with HS values < 4.02 kPa (P = 0.015). An HS value ≥ 4.02 kPa was the only significant affecting factor for OS.ConclusionHS values measured by MRE could predict PHLF development post-HR. Furthermore, an HS value ≥4.02 kPa was a significant predicting factor for poor OS post-HR.Key Points• Hepatic stiffness value was a predictive factor for developing posthepatectomy liver failure • Hepatic stiffness value was a significant affecting factor for OS • Hepatic stiffness value ≥ 4.02 kPa was a predictive factor for poor OS.

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