[Differentiated Strategies for the Therapy of Liver Metastases in Gastro-entero-pancreatic Neuroendocrine Neoplasia].
Martina T MoglRobert ÖllingerHenning JannBernhard GebauerUli FehrenbachHolger AmthauerChristoph WetzMoritz SchmelzleNathanael RaschzokFelix KrenzienPeter E GoretzkiJohann PratschkeWenzel SchoeningPublished in: Zentralblatt fur Chirurgie (2022)
Neuroendocrine neoplasias comprise a heterogenous group of malignant tumours, mostly arising from the gastro-entero-pancreatic system (GEP). Most of these tumours develop from the small intestine and pancreas and the liver is the predominant site for distant metastases. Patients may be asymptomatic for a long time and liver metastases are frequently diagnosed by chance or during operations for bowel obstruction, for example, during emergency surgery. The only curative therapy consists in complete removal of primary and metastases. In case of metastatic disease, various treatment modalities need to be discussed in interdisciplinary tumour boards comprised of specialists from gastroenterology, (liver-)surgery, radiology, nuclear medicine, radiotherapy, pathology and endocrinology. By combining different therapies, even patients with progressive disease may reach long-term overall survival with good quality of life. The most important factors for decisions on therapy are individual factors like tumour grading, hormonal functionality, type of metastases and evolution of the disease. Adequate treatment of liver metastases comprises various surgical strategies as well as locally ablative radiological interventions and nuclear medical therapies, in complement to systemic treatments.
Keyphrases
- liver metastases
- minimally invasive
- coronary artery bypass
- end stage renal disease
- multiple sclerosis
- healthcare
- emergency department
- newly diagnosed
- prognostic factors
- public health
- small cell lung cancer
- radiation therapy
- physical activity
- chronic kidney disease
- metabolic syndrome
- surgical site infection
- lymph node
- high grade
- radiation induced
- bone marrow
- skeletal muscle
- machine learning
- coronary artery disease
- locally advanced
- polycystic ovary syndrome