Abstract library

4 results for "Diamantopoulos".
#1744 Predictors of Survival in Patients with Small Intestinal Neuroendocrine Tumours (SINETs) Associated with Mesenteric Desmoplasia
Introduction: SINETs represent 30-50% of small bowel neoplasms with a rising incidence and can be associated with mesenteric fibrosis (MF)
Conference: 14th Annual ENETS conference (2017)
Category: Epidemiology/Natural history/Prognosis - Prognosis
Presenting Author: Faidon M Laskaratos
Keywords: SINETs
#1796 Typical Bronchial Neuroendocrine Tumours with Advanced Disease: A Misleading Biology
Introduction: Bronchial NETs are graded by histological classification into ‘typical’, ‘atypical’ NETs or small and large neuroendocrine carcinoma’s. Typical NETs are regarded as being low-grade malignant however metastatic disease can still develop.
Conference: 14th Annual ENETS conference (2017)
Category: Epidemiology/Natural history/Prognosis - Prognosis
Presenting Author: Dr Dalvinder Mandair
Keywords: Bronchial, Typical
#1814 Predictors of Outcome in Patients Treated with Peptide Radio-Labelled Receptor Target Therapy (PRRT)
Introduction: The efficacy of PRRT has been demonstrated in patients with well differentiated NETS. The NETTER-01 study demonstrated disease stabilisation or partial response in approximately 80% of patients. However, more studies are needed to identify predictors of response
Conference: 14th Annual ENETS conference (2017)
Category: PRRT-Ablative therapies- Endoscopic treatment, surgical treatment
Presenting Author: Georgios Demetriou
Keywords: PRRT, Y90, Lu-177
#2187 Typical and Atypical Bronchial NETs with Advanced Disease: Incidence, Management and Survival
Introduction: Bronchial NETs are classified according to the 2004 WHO classification into typical, atypical and poorly differentiated. Typical and atypical tumours can develop metastatic disease (Stage IV) which requires careful management
Conference: 15th Annual ENETS conference (2018)
Category: Non digestive NETs (bronchial, thymic, others) - diagnosis and therapy
Presenting Author: Dr Dalvinder Mandair