Detalhe da pesquisa
1.
COVID-19 pneumonia imaging follow-up: when and how? A proposition from ESTI and ESR.
Eur Radiol
; 32(4): 2639-2649, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-34713328
2.
How to perform lung ultrasound in pregnant women with suspected COVID-19.
Ultrasound Obstet Gynecol
; 55(5): 593-598, 2020 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32207208
3.
Multicenter external validation of two malignancy risk prediction models in patients undergoing 18F-FDG-PET for solitary pulmonary nodule evaluation.
Eur Radiol
; 27(5): 2042-2046, 2017 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-27631108
4.
Detection of noncalcified pulmonary nodules on low-dose MDCT: comparison of the sensitivity of two CAD systems by using a double reference standard.
Radiol Med
; 117(6): 953-67, 2012 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-22327922
5.
Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal.
Insights Imaging
; 11(1): 92, 2020 Aug 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-32785803
6.
Percutaneous radiofrequency ablation using internally cooled wet electrodes for the treatment of patients with lung tumors.
Eur Rev Med Pharmacol Sci
; 23(15): 6554-6561, 2019 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-31378896
7.
Automated volumetry of pulmonary nodules on multidetector CT: influence of slice thickness, reconstruction algorithm and tube current. Preliminary results.
Radiol Med
; 113(1): 29-42, 2008 Feb.
Artigo
em Inglês, Italiano
| MEDLINE | ID: mdl-18338125
8.
Visual score and quantitative CT indices in pulmonary fibrosis: Relationship with physiologic impairment.
Radiol Med
; 112(8): 1160-72, 2007 Dec.
Artigo
em Inglês, Italiano
| MEDLINE | ID: mdl-18193399
9.
[Optimization and diagnostic accuracy of computerized tomography with tridimensional spiral technique in the study of craniostenosis]. / Ottimizzazione e accuratezza diagnostica della Tomografia Computerizzata con tecnica spirale tridimensionale nello studio della craniostenosi.
Radiol Med
; 96(1-2): 10-7, 1998.
Artigo
em Italiano
| MEDLINE | ID: mdl-9819612