Evaluation of metabolic response with (18)F-FDG PET-CT in patients with advanced or recurrent thymic epithelial tumors(136 visite) Segreto S, Fonti R, Ottaviano M, Pellegrino S, Pace L, Damiano V, Palmieri G, Del Vecchio S
Cancer Imaging (ISSN: 1470-7330, 1470-7330electronic), 2017 Mar 7; 17(1): 10-10.
Tipo di articolo: Journal Article,
Impact factor: 3.016, Impact factor a 5 anni: 2.678
*** IBB - CNR *** Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, Edificio 10, 80131, Naples, Italy., Institute of Biostructures and Bioimaging, National Research Council, Via T. De Amicis 95, 80145, Naples, Italy., Rare Tumors Reference Center, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy., Department of Medicine and Surgery, University of Salerno, Via S. Allende, 84081, Baronissi, Salerno, Italy., Department of Advanced Biomedical Sciences, University of Naples Federico II, Via Pansini 5, Edificio 10, 80131, Naples, Italy. firstname.lastname@example.org., Institute of Biostructures and Bioimaging, National Research Council, Via T. De Amicis 95, 80145, Naples, Italy. email@example.com.,
BACKGROUND: Patients with advanced or recurrent thymic epithelial tumors (TETs) often need several consecutive lines of chemotherapy. The aim of this retrospective monocentric study was to test whether (18)F-Fluorodeoxyglucose positron emission tomography-computed tomography ((18)F-FDG PET-CT) is able to monitor standard chemotherapy efficacy in those patients and whether metabolic response correlates with morphovolumetric response as assessed by Response Evaluation Criteria in Solid Tumor (RECIST). METHODS: We evaluated 27 consecutive patients with advanced (16 patients) or recurrent (11 patients) TETs. All patients underwent (18)F-FDG PET-CT before and after at least 3 cycles of chemotherapy. Maximum standardized uptake value (SUVmax) of all detected lesions was recorded and the most (18)F-FDG avid lesion in each patient was selected for determination of percentage change of SUVmax (DeltaSUVmax) in pre- and post-treatment scans. Tumor response was assessed by contrast-enhanced computed tomography (CE-CT) using RECIST criteria. Receiver operating characteristic (ROC) curve analysis was performed to define the optimal threshold of DeltaSUVmax discriminating responders from non-responders. RESULTS: Metabolic response expressed as DeltaSUVmax was significantly correlated with morphovolumetric response (Spearman's rank correlation, r = 0.64, p = 0.001). ROC curve analysis showed that a DeltaSUVmax value of -25% could discriminate responders from non-responders with a sensitivity of 88% and a specificity of 80%. Conversely, basal SUVmax values were not predictive of morphovolumetric tumor response. CONCLUSIONS: Our findings indicate that metabolic response assessed by (18)F-FDG PET-CT, through evaluation of DeltaSUVmax, may allow identification of responders and non-responders thus guiding adaptation of therapy in patients with advanced or recurrent TETs.
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Testino G, Leone S, Fagoonee S, Del Bas JM, Rodriguez B, Puiggros F, Marine S, Rodriguez MA, Morina D, Armengol L, Caimari A, Arola L, Cimini FA, Barchetta I, Carotti S, Bertoccini L, Baroni MG, Vespasiani-gentilucci U, Cavallo MG, Morini S, Nelson JE, Roth CL, Wilson LA, Yates KP, Aouizerat B, Morgan-stevenson V, Whalen E, Hoofnagle A, Mason M, Gersuk V, Yeh MM, Kowdley KV, Lee SM, Jun DW, Cho YK, Jang KS, Kucukazman M, Ata N, Dal K, Yeniova AO, Kefeli A, Basyigit S, Aktas B, Akin KO, Agladioglu K, Ure OS, Topal F, Nazligul Y, Beyan E, Ertugrul DT, Catena C, Cosma C, Camozzi V, Plebani M, Ermani M, Sechi LA, Fallo F, Goto Y, Ray MB, Mendenhall CL, French SW, Gartside PS Serum vitamin A deficiency and increased intrahepatic expression of cytokeratin antigen in alcoholic liver disease(185 visite) Hepatology (ISSN: 1827-1669electronic, 0026-4806linking), 1988 Sep; 83120693611123109(5): 1019-1026. Impact Factor:0.913 DettagliEsporta in BibTeXEsporta in EndNote
595 Records (560 escludendo Abstract e Conferenze). Impact factor totale: 1942.51 (1828.713 escludendo Abstract e Conferenze). Impact factor a 5 anni totale: 2130.868 (1989.059 escludendo Abstract e Conferenze).