F Matteucci
University of Pisa
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Featured researches published by F Matteucci.
Journal of Nuclear Cardiology | 1996
Vitantonio Di Bello; Calogero Riccardo Bellina; Enrico Gori; Nicola Molea; L Talarico; G Boni; Enrico Magagnini; F Matteucci; D Giorgi; Elena Lazzeri; A Bertini; M.F. Romano; R. Bianchi; C. Giusti
BackgroundThe incremental diagnostic value of dobutamine stress echocardiography (DSE) and 99mTc-labeled sestamibi single-photon emission computed tomography for the evaluation of the presence and extent of coronary artery disease (CAD) was assessed with ordered logistic regression and receiver-operating characteristic curves.Methods and ResultsForty-five consecutive patients (33 men and 12 women; 53±6.8 years) underwent exercise electrocardiography and simultaneous DSE and sestamibi single-photon emission computed tomographic imaging. Coronary angiography was performed in all patients (significant coronary stenosis >50%). On the basis of the results of exercise electrocardiography, the pretest probability for CAD (Diamonds algorithm) was low (45.6%±12.7%). According to ordered logistic regression analysis, some models were estimated that performed a diagnostic accuracy level for CAD. In particular, we evaluated a clinical model (model 1) determined by the following parameters: sex, age, presence of chest pain, and positivity of electrocardiogram during dobutamine stress test. This model was 64.3%±10.7% accurate for the prediction of CAD. The addition to model 1 of DSE parameters (wall motion stress and rest score index and relative difference) (model 2) yielded a diagnostic accuracy of 81.4%±4.3% (p<0.045), whereas the addition to model 1 of single-photon emission computed tomographic parameters (the difference between perfusional stress and rest score index) (model 3) improved diagnostic accuracy to 92.3%±5.5% (p<0.003), a level that appeared significantly higher than that of model 2 (p<0.016).ConclusionBoth noninvasive methods for the detection of CAD showed a good diagnostic accuracy, especially when test-derived parameters were combined with clinical data. Nevertheless, the single-photon emission computed tomographic model showed a higher sensitivity compared with the DSE model.
International Journal of Cardiac Imaging | 1996
V. Di Bello; C. Riccardo Bellina; Nicola Molea; L Talarico; G Boni; Enrico Magagnini; F Matteucci; D Giorgi; Elena Lazzeri; A Bertini; M.F. Romano; R. Bianchi; C. Giusti
AbstractBackground: Simultaneous dobutamine stress echocardiography (DSE) and99mTc-MIBI-SPET (DMS) for the evaluation of the presence and the extent of coronary artery disease (CAD) were assessed for a head to head comparison regarding the diagnostic accuracy of the two tests. Methods and Results: Forty-five consecutive patients (33 males and 12 females: 53±6.8 yr.) underwent exercise electrocardiography and simultaneous dobutamine stress echocardiography and MIBI-SPET imaging. Coronary angiography was performed in all patients (significant coronary stenosis > 50%). On the basis of the results of exercise electrocardiogram the pre-test probability for coronary artery disease (Diamonds algorithm) was low (45.6±12.7 %). The overall specificity, sensitivity and predictive accuracy of Echo-dobutamine stress test for diagnosis of the presence or absence of CAD were: specificity 82%, sensitivity 76%, diagnostic accuracy 80%, positive predictive value 90%, negative predictive value 40%. The overall specificity, sensitivity and predictive accuracy of MIBI-SPET-dobutamine test for diagnosis of the presence or absence of CAD were: specificity 86%, sensitivity 87%, diagnostic accuracy 84%, positive predictive value 97%, negative predictive value 54%. MIBI-SPET-dobutamine test showed a significantly higher sensitivity in comparison with ECHO-dobutamine test (P<0.05). Conclusion: Both noninvasive methods for the detection of CAD showed a good diagnostic accuracy. Nevertheless the SPET model showed an higher sensitivity in comparison with DSE model, essentially in the presence of a lower extent of CAD and during submaximal test.
The Journal of Nuclear Medicine | 1996
Giuliano Mariani; Di Sacco S; Duccio Volterrani; Di Luca L; S Buralli; Di Stefano R; Janina Baranowska-Kortylewicz; D. Bonora; F Matteucci; S. Ricci; C Bellina; A Falcone; P Salvadori; Franco Mosca; Stephen Adelstein; Amin I. Kassis
The Journal of nuclear biology and medicine | 1994
Giuliano Mariani; S Di Sacco; Duccio Volterrani; F Matteucci; L Di Luca; S Buralli; J Baranowska Kortylewicz; Rossella Di Stefano; S. Ricci; C Bellina; A Falcone; P Salvadori; Franco Mosca; S Aldestein; Ai Kassis
The Journal of Nuclear Medicine | 1994
Giuliano Mariani; Di Sacco S; Duccio Volterrani; F Matteucci; Baranowskakortylewicz; Di Stefano R; S. Ricci; C Bellina; L Di Luca; S Buralli; A Falcone; P Salvadori; Franco Mosca; Stephen Adelstein; Ai Kassis
Clinical research | 1994
Giuliano Mariani; S Di Sacco; Duccio Volterrani; F Matteucci; Janina Baranowska-Kortylewicz; Rossella Di Stefano; S. Ricci; C Bellina; Di Luca; S Buralli; A Falcone; P Salvadori; Franco Mosca; Stephen Adelstein; Ai Kassis
ACTA PHONIATRICA LATINA | 2009
Andrea Nacci; Francesco Ursino; R La Vela; F Matteucci; Mancini; J Matteucci; B Fattori
XLI Congresso nazionale della Società Italiana di Foniatria e Logopedia dia, | 2007
Francesco Ursino; Bruno Fattori; F Matteucci; Andrea Nacci
I CARE | 2007
Andrea Nacci; B Fattori; F Matteucci; R La Vela; R De Salve; Francesco Ursino
Archive | 2006
F Matteucci; Pl Ghilardi; Gl Ferraro; Bruno Fattori; Andrea Nacci; Francesco Ursino