Abstract
To report the efficacy of automated feeder detection (AFD) software for the identification and treatment of liver tumors. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. A structured search was performed in the PubMed, SCOPUS, and Embase databases of patients undergoing locoregional therapy of liver tumors utilizing AFD. Demographic data, procedure data (including radiometrics) and tumor response rate were recorded. Where available, performance of AFD was compared to conventional DSA and CBCT without AFD. In total, 14 full-text manuscripts met inclusion criteria, comprising 1042 tumors in 604 patients, including 537 with hepatocellular carcinoma, 8 with neuroendocrine metastases, and 59 patients without a reported etiology. Reported sensitivity of AFD ranged between 86% to 98.5%, compared to DSA alone (38%-64%) or DSA in combination with CBCT (69%-81%). Three studies reported tumor response by modified Response Evaluation Criteria in Solid Tumors (mRECIST) guidelines, with complete response in the range of 60-69%. AFD is a promising new technology for the identification of tumor-feeding arteries and should be considered a useful complement to conventional DSA and CBCT in the treatment of liver tumors.
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