AIM 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 [10.4251/wjgo.v9.i10.423].

Low-dose computed tomography with 4th-generation iterative reconstruction algorithm in assessment of oncologic patients

IPPOLITO, DAVIDE
Primo
;
CASIRAGHI, ALESSANDRA SILVIA
Secondo
;
TALEI FRANZESI, CAMMILLO ROBERTO GIOVANNI LEOPOLDO;FIOR, DAVIDE;SIRONI, SANDRO
Ultimo
2017

Abstract

AIM 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.
Articolo in rivista - Articolo scientifico
Computed tomography; Low-dose computed tomography; Oncologic imaging; Radiation dose; Tube current modulation;
Computed tomography; Low-dose computed tomography; Oncologic imaging; Radiation dose; Tube current modulation
English
2017
9
10
423
430
none
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 [10.4251/wjgo.v9.i10.423].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/173921
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