IRIS – Institutional Research Information System
IRIS è il sistema di gestione della ricerca dell’Università degli Studi di Milano-Bicocca.Il repository BOA è il modulo del sistema dedicato alla raccolta e alla disseminazione della produzione scientifica di Ateneo. Le pubblicazioni sono ricercabili per parola chiave attraverso il box nella barra orizzontale in alto oppure, mediante il pulsante Sfoglia, per "Afferenza", "Autore", "Titolo", "Tipologia" o "Settore scientifico-disciplinare".
IRIS contiene inoltre alcuni moduli dedicati alla registrazione dei progetti e dei contratti, e alla reportistica avanzata per le attività di valutazione della ricerca
EnglishAIM To compare radiation dose and image quality of lowdose computed tomography (CT) protocol combined with hybrid-iterative reconstruction algorithm with standarddose CT examinations for follow-up of oncologic patients. METHODS Fifty-one patients with known malignant diseases which underwent, during clinical follow-up, both standarddose and low-dose whole-body CT scans were enrolled. Low-dose CT was performed on 256-row scanner, with 120 kV and automated mA modulation, and iterative reconstruction algorithm. Standard-dose CT was performed on 16-rows scanner, with 120 kV, 200-400 mAs (depending on patient weight). We evaluated density values and signal-to-noise ratio, along with image noise (SD), sharpness and diagnostic quality with 4-point scale. RESULTS Density values in liver, spleen and aorta were higher in lowdose images (liver 112.55 HU vs 103.90 HU, P < 0.001), as SD values in liver and spleen (liver 16.81 vs 14.41). Volumetric-Computed-Tomographic-Dose-Index (CTDIvol) and Dose-Length-Product (DLP) were significantly lower in low-dose CT as compared to standard-dose (DLP 1025.6 mGy*cm vs 1429.2 mGy*cm, P < 0.001) with overall dose reduction of 28.9%. Qualitative analysis did not reveal significant differences in image noise and diagnostic quality. CONCLUSION Automatic tube-current modulation combined with hybriditerative algorithm allows radiation dose reduction of 28.9% without loss of diagnostic quality, being useful in reducing dose exposure in oncologic patients.
Ippolito, D., Casiraghi, A., Talei Franzesi, C., Fior, D., Meloni, F., & Sironi, S. (2017). Low-dose computed tomography with 4th-generation iterative reconstruction algorithm in assessment of oncologic patients. WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 9(10), 423-430.
| Citazione: | Ippolito, D., Casiraghi, A., Talei Franzesi, C., Fior, D., Meloni, F., & Sironi, S. (2017). Low-dose computed tomography with 4th-generation iterative reconstruction algorithm in assessment of oncologic patients. WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 9(10), 423-430. |
| Tipo: | Articolo in rivista - Articolo scientifico |
| Carattere della pubblicazione: | Scientifica |
| Presenza di un coautore afferente ad Istituzioni straniere: | No |
| Titolo: | Low-dose computed tomography with 4th-generation iterative reconstruction algorithm in assessment of oncologic patients |
| Autori: | Ippolito, D; Casiraghi, A; Talei Franzesi, C; Fior, D; Meloni, F; Sironi, S |
| Autori: | CASIRAGHI, ALESSANDRA SILVIA (Secondo) SIRONI, SANDRO (Ultimo) |
| Data di pubblicazione: | 2017 |
| Lingua: | English |
| Rivista: | WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.4251/wjgo.v9.i10.423 |
| Appare nelle tipologie: | 01 - Articolo su rivista |
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