@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS035 prodottidellaricerca:prodotto prodotto:ID202938 . @prefix modulo: . modulo:ID7890 prodottidellaricerca:prodotto prodotto:ID202938 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA9489 pubblicazioni:autoreCNRDi prodotto:ID202938 . unitaDiPersonaleInterno:MATRICOLA11035 pubblicazioni:autoreCNRDi prodotto:ID202938 . @prefix rdf: . @prefix retescientifica: . prodotto:ID202938 rdf:type retescientifica:ProdottoDellaRicerca , prodotto:TIPO1301 . @prefix rdfs: . prodotto:ID202938 rdfs:label "Advanced Spectral Analysis for Automatic Echographic Monitoring of an Evolving Tumour Mass (Contributo in atti di convegno)"@en . @prefix xsd: . prodotto:ID202938 pubblicazioni:anno "2011-01-01T00:00:00+01:00"^^xsd:gYear ; pubblicazioni:doi "10.1109/MeMeA.2011.5966748"^^xsd:string . @prefix skos: . prodotto:ID202938 skos:altLabel "
Soloperto, Giulia (1); Conversano, Francesco (1); Greco, Antonio (1); Franchini, Roberto (1); Lay-Ekuakille, Aim\u00E8 (2); Casciaro, Sergio (1); (2011)
Advanced Spectral Analysis for Automatic Echographic Monitoring of an Evolving Tumour Mass
in 2011 International Symposium on Medical Measurements and Applications (\tMeMeA 2011), Bari, Italy, 30-31 May 2011
"^^rdf:HTML ; pubblicazioni:autori "Soloperto, Giulia (1); Conversano, Francesco (1); Greco, Antonio (1); Franchini, Roberto (1); Lay-Ekuakille, Aim\u00E8 (2); Casciaro, Sergio (1);"^^xsd:string ; pubblicazioni:paginaInizio "498"^^xsd:string ; pubblicazioni:paginaFine "502"^^xsd:string ; pubblicazioni:altreInformazioni "ID_PUMA: cnr.ifc/2011-A2-006"^^xsd:string ; skos:note "Scopu"^^xsd:string ; pubblicazioni:affiliazioni "(1) CNR-IFC, Lecce; (2) Department of Innovation Engineering, University of Salento, Lecce (Italy)"^^xsd:string ; pubblicazioni:titolo "Advanced Spectral Analysis for Automatic Echographic Monitoring of an Evolving Tumour Mass"^^xsd:string ; pubblicazioni:isbn "9781424493388"^^xsd:string ; prodottidellaricerca:abstract "In the last decades, minimally invasive technologies have experienced a significant diffusion in various clinical specialties, finding their application in diagnosis and therapy of acute and chronic diseases. In particular early and effective cancer diagnosis is amongst the goals of recent studies focused on the improvement of innovative medical instruments. Moreover, several research projects are currently operating on the optimization of novel diagnostic paradigms, seeking to minimal exposure of the patient to ionizing radiations, considered highly health threatening. Therefore, the aim of this study was to assess the accuracy of a prototypal software algorithm for advanced spectral analysis on echographic images (RULES, ELEN SpA, Florence, Italy) in the automatic segmentation of a simulated tumour mass with variable physical conditions (position, shape, pressure exerted by the surrounding tissues). Different phantoms were used to mimic specific pathological conditions: an early stage cancer and a hard tumour mass. Specificity and sensitivity of the procedure were calculated throughout the condition variation cycle for each model and compared. Results demonstrated the possibility of selecting an appropriate configuration of the algorithm to perform an automatic echographic monitoring of a tissue mass of given mechanical properties while it experiences variations of position, shape and pressure exerted by the surrounding tissues. Clinical implications of the reported findings could be crucial for management of cancer patients and for disease assessment in absence of contrast agent injection."@en ; prodottidellaricerca:prodottoDi modulo:ID7890 , istituto:CDS035 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA9489 , unitaDiPersonaleInterno:MATRICOLA11035 .