Can contrast-enhanced MRI with gadoxetic acid predict liver failure and other complications after major hepatic resection?. Issue 7 (July 2017)

• Record Type: Journal Article
• Authors: Costa, A.F.; Tremblay St-Germain, A.; Abdolell, M.; Smoot, R.L.; Cleary, S.; Jhaveri, K.S.
• Is Part Of: Clinical radiology. Volume 72:Issue 7(2017)
• Page Start: 598
• Page End: 605
• Publication Date: 2017-07
• Subjects: Medical radiology -- Periodicals; Radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiology -- Periodicals; Societies, Medical -- Periodicals; Medical radiology; Radiotherapy; Electronic journals; Periodicals; 616.0757
• DOI: 10.1016/j.crad.2017.02.004
• Languages: English
• ISSNs: 0009-9260

Abstract

Abstract : Aim: To determine whether a combination of clinical factors, the future liver remnant (FLR) ratio, and hepatic uptake of gadoxetic acid can be used to predict post-hepatectomy liver failure (PHLF) and other major complications (OMC). Materials and methods: Sixty-five consecutive patients who underwent pre-hepatectomy gadoxetic acid-enhanced magnetic resonance imaging (MRI) between October 2010 and December 2013 were included. The relative liver enhancement (RLE) of gadoxetic acid was calculated from regions of interest on MRI, and FLR ratios were obtained from computed tomography (CT). PHLF and OMC were defined by the International Study Group of Liver Surgery criteria and Clavien–Dindo grade of ≥3, respectively. Multivariate logistic regression modelling was performed to identify predictors of PHLF and OMC, including RLE, FLR ratio, age, sex, chemotherapy history, intra-operative blood loss, and intra-operative transfusion. Results: Nine patients experienced PHLF and another nine patients experienced OMC. RLE was comparable to the FLR ratio in predicting PHLF (areas under the receiver operating characteristic [AUROC] curves, 0.665 and 0.705), but performed poorly in predicting OMCs (AUROCs, 0.556 and 0.702). Combining all clinical and imaging parameters as predictors yielded the best performing predictive models (AUROCs, 0.875 and 0.742 for PHLF and OMC, respectively). Conclusion: A model based on clinical parameters, the FLR ratio, and RLE of gadoxetic acid may improve pre-hepatectomy risk assessment. Highlights: Clinical and imaging-based parameters demonstrate value in predicting PHLF. RLE of gadoxetic acid shows comparable accuracy in predicting PHLF to the FLR ratio. Predictive models are improved when clinical and imaging parameters are combined.