Dong Ho Lee1, Jeong Min Lee2,3, Nam-Joon Yi4, Kwang-Woong Lee4, Kyung-Suk Suh4, Jeong-Hoon Lee5, Kyung Bun Lee6, Joon Koo Han1,7. 1. Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, Seoul, 110-744, Korea. 2. Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, Seoul, 110-744, Korea. jmsh@snu.ac.kr. 3. Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Korea. jmsh@snu.ac.kr. 4. Department of Surgery, Seoul National University Hospital, Seoul, Korea. 5. Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea. 6. Department of Pathology, Seoul National University Hospital, Seoul, Korea. 7. Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Korea.
Abstract
PURPOSE: To evaluate prognostic value of hepatic stiffness (HS) measurement using MR elastography (MRE) in patients with hepatocellular carcinoma (HCC) treated by hepatic resection (HR). METHODS: We 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. RESULTS: After 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. CONCLUSION: HS 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.
PURPOSE: To evaluate prognostic value of hepatic stiffness (HS) measurement using MR elastography (MRE) in patients with hepatocellular carcinoma (HCC) treated by hepatic resection (HR). METHODS: We 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. RESULTS: After 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. CONCLUSION: HS 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.
Authors: Rohit Loomba; Tanya Wolfson; Brandon Ang; Jonathan Hooker; Cynthia Behling; Michael Peterson; Mark Valasek; Grace Lin; David Brenner; Anthony Gamst; Richard Ehman; Claude Sirlin Journal: Hepatology Date: 2014-10-29 Impact factor: 17.425
Authors: Paul Kennedy; Mathilde Wagner; Laurent Castéra; Cheng William Hong; Curtis L Johnson; Claude B Sirlin; Bachir Taouli Journal: Radiology Date: 2018-03 Impact factor: 11.105
Authors: Dong Ho Lee; Jeong Min Lee; Won Chang; Jung-Hwan Yoon; Yoon Jun Kim; Jeong-Hoon Lee; Su Jong Yu; Joon Koo Han Journal: Eur Radiol Date: 2018-02-27 Impact factor: 5.315
Authors: Dong Ho Lee; Eun Sun Lee; Jae Young Lee; Jae Seok Bae; Haeryoung Kim; Kyung Bun Lee; Su Jong Yu; Eun Ju Cho; Jeong Hoon Lee; Young Youn Cho; Joon Koo Han; Byung Ihn Choi Journal: Korean J Radiol Date: 2020-07-27 Impact factor: 3.500