Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2008-5-29
pubmed:abstractText
The bronchial tree represents the most frequent site of origin of carcinoids (around 25% of the total). The spectrum of differentiation of lung neuroendocrine tumors ranges from low-malignancy (carcinoids) to highly aggressive forms (small cell lung carcinoma) Diagnostic and therapeutic strategies therefore vary greatly. In well differentiated tumors (carcinoids) signs and symptoms are related to the airways obstruction in central forms, while peripheral forms are mostly discovered accidentally if asymptomatic. Clinical or subclinical paraneoplastic syndromes are associated in a minority of cases. Diagnostic work-up includes CT multislice, bronchial endoscopy and Octreoscan with chest Single Photon Emission Computed Tomography (SPECT). Further contribute may be added by the (68), Ga-DOTA-D-Phe(1)-Tyr(3)-ocreotide (DOTATOC) and 5-hydroxytryptophan (5-HTP) PET-CT, at present available only in a few centres, and by endobronchial ultrasound (EBUS), fluorescence bronchoscopy and virtual bronchoscopy. Surgery is the treatment of choice, while medical therapy is useful to treat the hypersecretion in paraneoplastic syndromes and to control tumor proliferation in metastatic or/and inoperable disease.
pubmed:language
ita
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0391-9005
pubmed:author
pubmed:issnType
Print
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
246-9
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
[Surgical treatment of well differentiated neuroendocrine tumours of the lung].
pubmed:affiliation
Centro di Riferimento Oncologico, Grupo Multidisciplinare Regionale per la Patologia Neuroendocrina: A.F.O.I. Perugia-Terni e Università degli Studi di Perugia, Chirurgia Toracica, Dipartimento Medicina Interna e Scienze Endocrine, Italy.
pubmed:publicationType
Journal Article, English Abstract