Annals of surgical oncology · 2015
Feasibility of Radio-Guided Surgery with ⁶⁸Gallium-DOTATATE in Patients with Gastro-Entero-Pancreatic Neuroendocrine Tumors.
СтатьяResearch Support, N.I.H., IntramuralНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sadowski Samira M, Millo Corina, Neychev Vladimir, Aufforth Rachel, Keutgen Xavier, Glanville Joanne, Alimchandani Meghna, Nilubol Naris, Herscovitch Peter, Quezado Martha, Kebebew Electron
Аннотация
BACKGROUND: Surgery is the only definitive therapy for gastro-entero-pancreatic neuroendocrine tumors (GEPNETs), and achieving complete tumor resection is an important prognostic factor. Radiopharmaceuticals such as (68)Ga-DOTA peptides have been developed that offer superior accuracy for localization of GEPNETs. The study aim was to determine the feasibility of radio-guided surgery (RGS) using (68)Ga-DOTATATE in patients with primary and recurrent GEPNETs.
METHODS: Fourteen patients with GEPNETs were enrolled onto a prospective study to determine the feasibility of RGS with (68)Ga-DOTATATE. Findings from preoperative imaging, intraoperative exploration, RGS, and pathology were analyzed.
RESULTS: The median decay corrected target count rate was 172.6 (range 28.15-2341) for tumors, with a tumor-to-background ratio (TBR) of 4.46 (range 1.6-43.56). The median lesion size was 1.55 (range 0.5-15) cm. There was no significant correlation between preoperative imaging maximum standardized uptake value (SUVmax) of the lesions and TBR (Spearman r = - 0.01, p = 0.9), TBR and tumor size (Spearman r = 0.29, p = 0.14), and SUVmax and tumor size (Spearman r = 0.22, p = 0.28). The probe showed correct identification for gastric and small intestine neuroendocrine tumor (NET), including lymph node metastasis in 17 (81.0 %) of 21 cases, with a median TBR of 3.5 (1.6-40.2). For pancreatic NETs and lymph node metastasis, 16 (66.7 %) of 24 were correctly identified by RGS.
CONCLUSIONS: Our study shows that RGS with (68)Ga-DOTATATE is feasible and correctly confirms bowel NETs and metastatic mesenteric lymph nodes. Further studies are needed to determine the benefit of RGS with (68)Ga-DOTATATE.
METHODS: Fourteen patients with GEPNETs were enrolled onto a prospective study to determine the feasibility of RGS with (68)Ga-DOTATATE. Findings from preoperative imaging, intraoperative exploration, RGS, and pathology were analyzed.
RESULTS: The median decay corrected target count rate was 172.6 (range 28.15-2341) for tumors, with a tumor-to-background ratio (TBR) of 4.46 (range 1.6-43.56). The median lesion size was 1.55 (range 0.5-15) cm. There was no significant correlation between preoperative imaging maximum standardized uptake value (SUVmax) of the lesions and TBR (Spearman r = - 0.01, p = 0.9), TBR and tumor size (Spearman r = 0.29, p = 0.14), and SUVmax and tumor size (Spearman r = 0.22, p = 0.28). The probe showed correct identification for gastric and small intestine neuroendocrine tumor (NET), including lymph node metastasis in 17 (81.0 %) of 21 cases, with a median TBR of 3.5 (1.6-40.2). For pancreatic NETs and lymph node metastasis, 16 (66.7 %) of 24 were correctly identified by RGS.
CONCLUSIONS: Our study shows that RGS with (68)Ga-DOTATATE is feasible and correctly confirms bowel NETs and metastatic mesenteric lymph nodes. Further studies are needed to determine the benefit of RGS with (68)Ga-DOTATATE.
Предметные рубрики MeSH
AdultAgedBiomarkers, TumorFeasibility StudiesFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedImmunoenzyme TechniquesIntestinal NeoplasmsMaleMiddle AgedMultimodal ImagingNeoplasm GradingNeoplasm StagingNeuroendocrine TumorsOrganometallic CompoundsPancreatic NeoplasmsPositron-Emission TomographyPrognosisProspective StudiesRadiopharmaceuticalsRadiotherapy, Image-GuidedStomach NeoplasmsTissue DistributionTomography, X-Ray Computed