Gaya Spolverato1, Alessandro Vitale2, Aslam Ejaz1, Yuhree Kim1, David Cosgrove3, Todd Schlacter4, Jean-Francis Geschwind4, Timothy M Pawlik5. 1. Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD. 2. Unità di Chirurgia Epatobiliare e Trapianto Epatico, Azienda Ospedaliera-Università di Padova, Padova, Italy. 3. Department of Medical Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD. 4. Department of Radiology, Interventional Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD. 5. Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address: tpawlik1@jhmi.edu.
Abstract
BACKGROUND: Management of patients with neuroendocrine liver metastasis (NELM) remains controversial. We sought to compare the net health benefit (NHB) of hepatic resection (HR) versus intraarterial therapy (IAT) among patients with NELM. METHODS: A decision analytic Markov model was created to estimate and compare the cost effectiveness associated with different management strategies (HR vs IAT) for a simulated cohort of patients with NELM. The primary (base case) analysis was calculated based on a 57-year-old male patient with metachronous, symptomatic NELM that involved <25% of the liver in the absence of extrahepatic disease. The endpoints were quality-adjusted life-months (QALMs), quality-adjusted life-year (QALY), incremental cost-effectiveness ratio (ICER), and NHB. RESULTS: In the base case analysis, HR was strongly favored over IAT providing NHB of 20.0 QALMs and an ICER of $8,427 per QALY. In the Monte Carlo simulation, the greatest NHB for HR was among patients with functioning/symptomatic NELM, regardless of liver tumor burden. In the symptomatic group, IAT was favored only in a minority of old patients (>60 years) with extrahepatic disease and synchronous NELM. In contrast, in patients with nonfunctioning/asymptomatic NELM, hepatic tumor burden was the most important variable and HR was always cost ineffective in large tumors, independent of patient age and extrahepatic disease characteristics. CONCLUSION: A Markov decision model demonstrated that HR was the preferred strategy among patients with symptomatic NELM, regardless of hepatic disease burden. In contrast, IAT should be preferred for patients with large volume nonfunctioning/asymptomatic NELM.
BACKGROUND: Management of patients with neuroendocrine liver metastasis (NELM) remains controversial. We sought to compare the net health benefit (NHB) of hepatic resection (HR) versus intraarterial therapy (IAT) among patients with NELM. METHODS: A decision analytic Markov model was created to estimate and compare the cost effectiveness associated with different management strategies (HR vs IAT) for a simulated cohort of patients with NELM. The primary (base case) analysis was calculated based on a 57-year-old male patient with metachronous, symptomatic NELM that involved <25% of the liver in the absence of extrahepatic disease. The endpoints were quality-adjusted life-months (QALMs), quality-adjusted life-year (QALY), incremental cost-effectiveness ratio (ICER), and NHB. RESULTS: In the base case analysis, HR was strongly favored over IAT providing NHB of 20.0 QALMs and an ICER of $8,427 per QALY. In the Monte Carlo simulation, the greatest NHB for HR was among patients with functioning/symptomatic NELM, regardless of liver tumor burden. In the symptomatic group, IAT was favored only in a minority of old patients (>60 years) with extrahepatic disease and synchronous NELM. In contrast, in patients with nonfunctioning/asymptomatic NELM, hepatic tumor burden was the most important variable and HR was always cost ineffective in large tumors, independent of patient age and extrahepatic disease characteristics. CONCLUSION: A Markov decision model demonstrated that HR was the preferred strategy among patients with symptomatic NELM, regardless of hepatic disease burden. In contrast, IAT should be preferred for patients with large volume nonfunctioning/asymptomatic NELM.
Authors: Xu-Feng Zhang; Eliza W Beal; Jeffery Chakedis; Yi Lv; Fabio Bagante; Luca Aldrighetti; George A Poultsides; Todd W Bauer; Ryan C Fields; Shishir Kumar Maithel; Hugo P Marques; Matthew Weiss; Timothy M Pawlik Journal: J Gastrointest Surg Date: 2017-07-20 Impact factor: 3.452
Authors: Gaya Spolverato; Fabio Bagante; Luca Aldrighetti; George Poultsides; Todd W Bauer; Ryan C Field; Hugo P Marques; Matthew Weiss; Shishir K Maithel; Timothy M Pawlik Journal: J Gastrointest Surg Date: 2017-07-25 Impact factor: 3.452
Authors: Jordan M Cloyd; Aslam Ejaz; Bhavana Konda; Mina S Makary; Timothy M Pawlik Journal: Hepatobiliary Surg Nutr Date: 2020-08 Impact factor: 7.293
Authors: Jeffery Chakedis; Eliza W Beal; Alexandra G Lopez-Aguiar; George Poultsides; Eleftherios Makris; Flavio G Rocha; Zaheer Kanji; Sharon Weber; Alexander Fisher; Ryan Fields; Bradley A Krasnick; Kamran Idrees; Paula Marincola-Smith; Clifford Cho; Megan Beems; Timothy M Pawlik; Shishir K Maithel; Carl R Schmidt; Mary Dillhoff Journal: J Gastrointest Surg Date: 2018-10-17 Impact factor: 3.452