TY - JOUR
T1 - A systematic review of automated feeder detection software for locoregional treatment of hepatic tumors
AU - Cui, Z.
AU - Shukla, P. A.
AU - Habibollahi, P.
AU - Park, H. S.
AU - Fischman, A.
AU - Kolber, M. K.
N1 - Publisher Copyright:
© 2020 Société française de radiologie
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Purpose: The purpose of this study was to perform a systematic review of current literature describing the efficacy and technical outcomes of transarterial liver therapies using automated feeder detection (AFD) software. Materials and methods: 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 software. Demographic data, procedure data (including radiometrics) and tumor response rate were recorded. Where available, performance of AFD was compared to conventional digital subtraction angiography (DSA) and cone-beam CT (CBCT) without AFD. Results: A total of 14 full-text manuscripts met inclusion criteria, comprising 1042 tumors in 604 patients (305 men, 156 women; mean age, 68.6 ± 6.0 [SD] years), including 537 patients with hepatocellular carcinoma, 8 with metastases from neuroendocrine tumors, and 59 patients without reported etiology. Reported sensitivity of AFD ranged between 86% and 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%. Conclusion: AFD is a promising new technology for the identification of intrahepatic and extrahepatic tumor-feeding arteries and should be considered a useful adjunct to conventional DSA and CBCT in the treatment of liver tumors.
AB - Purpose: The purpose of this study was to perform a systematic review of current literature describing the efficacy and technical outcomes of transarterial liver therapies using automated feeder detection (AFD) software. Materials and methods: 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 software. Demographic data, procedure data (including radiometrics) and tumor response rate were recorded. Where available, performance of AFD was compared to conventional digital subtraction angiography (DSA) and cone-beam CT (CBCT) without AFD. Results: A total of 14 full-text manuscripts met inclusion criteria, comprising 1042 tumors in 604 patients (305 men, 156 women; mean age, 68.6 ± 6.0 [SD] years), including 537 patients with hepatocellular carcinoma, 8 with metastases from neuroendocrine tumors, and 59 patients without reported etiology. Reported sensitivity of AFD ranged between 86% and 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%. Conclusion: AFD is a promising new technology for the identification of intrahepatic and extrahepatic tumor-feeding arteries and should be considered a useful adjunct to conventional DSA and CBCT in the treatment of liver tumors.
KW - Angiography
KW - Automated feeder detection
KW - Cone-beam computed tomography
KW - Digital subtraction
KW - Liver neoplasm
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U2 - 10.1016/j.diii.2020.01.011
DO - 10.1016/j.diii.2020.01.011
M3 - Review article
C2 - 32035822
AN - SCOPUS:85078886057
SN - 2211-5684
VL - 101
SP - 439
EP - 449
JO - Diagnostic and Interventional Imaging
JF - Diagnostic and Interventional Imaging
IS - 7-8
ER -