TY - JOUR AU1 - Luo, Yanji AU2 - Chen, Jie AU3 - Shen, Bingqi AU4 - Wang, Meng AU5 - Cai, Huasong AU6 - Xu, Ling AU7 - Chen, Luohai AU8 - Chen, Minhu AU9 - Li, Zi-Ping AU1 - Feng, Shi-Ting AB - Objective To identify a reliable early indicator of deriving progression-free survival (PFS) benefit in patients with advanced gastroenteropancreatic neuroendocrine tumors (GEP-NETs) treated with octreotide long-acting repeatable (LAR). Methods We investigated the images of 50 patients with well-differentiated advanced GEP-NETs treated with LAR octreotide and underwent baseline and follow-up thoracic, abdominal, and pelvic computed tomography. Receiver-operating characteristic (ROC) analysis and the Kaplan-Meier method were used to identify the optimal threshold to distinguish between those with and without significant improvement of PFS. Results The optimal threshold for determining a response to octreotide LAR was -10% ΔSLD, with a sensitivity and specificity of 85.7% and 80%, respectively. At this threshold, 19 patients were responders and 31 were non-responders; the median PFS was 20.2 and 7.6 months in responders and non-responders (hazard ratio, 2.66; 95% confidence interval, 1.32–5.36). Conclusion A 10% shrinkage in tumor size is an optimal early predictor of response to octreotide LAR in advanced GEP-NETs. Key points � Octreotide LAR can significantly prolong PFS among patients with well-differentiated advanced GEP-NETs. � No optimal tumor size-based response criteria are reported in GEP-NETs with octreotide. � Ten percent tumor shrinkage is a reliable indicator of the response to octreotide for advanced GEP-NETs. TI - CT evaluation of response in advanced gastroenteropancreatic neuroendocrine tumors treated with long-acting-repeatable octreotide: what is the optimal size variation threshold? JF - European Radiology DO - 10.1007/s00330-018-5512-1 DA - 2018-06-06 UR - https://www.deepdyve.com/lp/springer-journals/ct-evaluation-of-response-in-advanced-gastroenteropancreatic-k0dW09NGy2 SP - 5250 EP - 5257 VL - 28 IS - 12 DP - DeepDyve ER -