Can we navigate chemotherapy-induced hepatic injuries from pathology to bedside?

Chemotherapy-Induced Liver Injury in Patients with Colorectal Liver Metastases: Findings from MR Imaging

Chemotherapy-induced liver injury has been found to be quite common in cancer patients undergoing chemotherapy. Being aware of chemotherapy-induced hepatotoxicity is important for avoiding errors in detecting liver metastases and for defining the most appropriate clinical management strategy. MRI imaging has proven to be a useful troubleshooting tool that helps overcome false negatives in tumor response imaging after chemotherapy due to liver parenchyma changes. The purpose of this review is, therefore, to describe the characteristics of magnetic resonance imaging of the broad spectrum of liver damage induced by systemic chemotherapeutic agents in order to avoid misdiagnoses of liver metastases and disease progression and to define the most appropriate clinical management strategy.

Liver surface nodularity: a novel predictor of post-hepatectomy liver failure in patients with colorectal liver metastases following chemotherapy

OBJECTIVES

The goal of this study was to assess the relationship between liver surface nodularity (LSN), chemotherapy-associated liver injury (CALI), and clinically relevant post-hepatectomy liver failure (CR-PHLF) (i.e., ≥ grade B) in patients undergoing hepatectomy for colorectal liver metastases (CLM).

METHODS

Preoperative CT scans of patients who underwent chemotherapy followed by hepatectomy for CLM between 2010 and 2017 were retrospectively analyzed. LSN was measured using semi-automated CT software CT images in patients who had available preoperative CT scans within 6 weeks before hepatectomy, and was computed based on the means of one to 10 measurements by two abdominal radiologists consensually. The association of LSN, CALI, and CR-PHLF was analyzed.

RESULTS

Two hundred fifty-six patients were analyzed (149 men and 107 women; overall median age, 61 [range, 29-88 years]). A total of 26 patients (10.2%) developed CR-PHLF. The optimal LSN cut-off value for detecting CR-PHLF was 2.5, as determined by receiver operative characteristic analysis (p < 0.001). LSN ≥ 2.5 was associated with prolonged chemotherapy (> 6 cycles, p = 0.018), but not with CALIs. After propensity score matching, LSN remained significantly associated with CR-PHLF (p = 0.031). Furthermore, multivariate analysis identified LSN ≥ 2.50 and future liver remnant (FLR) < 30% as significant preoperative predictors of CR-PHLF in 102 patients undergoing major hepatectomy. LSN ≥ 2.50 was more frequent in patients undergoing major hepatectomy despite FLR ≥ 30% (p = 0.008).

CONCLUSION

LSN quantified on CT is an independent surrogate of CR-PHLF in patients who undergo chemotherapy followed by hepatectomy for CLM and may provide a valuable additional tool in the preoperative assessment of these patients.

KEY POINTS

• LSN was not associated with chemotherapy- associated liver injury but high LSN (defined ≥ 2.5) was associated with prolonged chemotherapy (> 6 cycles). • High LSN was an independent predictor of clinically relevant postoperative liver failure in patients undergoing hepatectomy for CRLM. • LSN ≥ 2.50 was more frequent in patients with PHLF after major hepatectomy despite a future liver remnant ≥ 30%.

CT and MR imaging of chemotherapy-induced hepatopathy

Chemotherapy-induced hepatopathy includes a wide variety of parenchymal and vascular hepatic changes on imaging, including diffuse or focal hepatopathies (i.e. hepatitis, steatosis, fibrosis, pseudocirrhosis, or sinusoidal obstruction). These changes can profoundly alter the hepatic parenchyma on imaging and result in both false negative and false-positive diagnoses of hepatic metastases and lead to errors in patient management strategies. It is therefore important for radiologists to have a comprehensive knowledge of the imaging patterns that may develop following chemotherapy. The purpose of this review is to explore the broad spectrum of hepatic parenchymal and vascular chemotherapy-induced changes on CT and MR imaging.