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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Medicine+(Baltimore)
2015 ; 94
(17
): e765
Nephropedia Template TP
gab.com Text
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English Wikipedia
Radiation exposure of ovarian cancer patients: contribution of CT examinations
performed on different MDCT (16 and 64 slices) scanners and image quality
evaluation: an observational study
#MMPMID25929914
Rizzo S
; Origgi D
; Brambilla S
; De Maria F
; Foà R
; Raimondi S
; Colombo N
; Bellomi M
Medicine (Baltimore)
2015[May]; 94
(17
): e765
PMID25929914
show ga
The objective of this study is to compare radiation doses given to ovarian cancer
patients by different computed tomographies (CTs) and to evaluate association
between doses and subjective and objective image quality.CT examinations included
were performed either on a 16-slice CT, equipped with automatic z-axis tube
current modulation, or on a 64-slice CT, equipped with z-axis, xy-axis
modulation, and adaptive statistical iterative algorithm (ASIR). Evaluation of
dose included the following dose descriptors: volumetric CT dose index (CTDIvol),
dose length product (DLP), and effective dose (E). Objective image noise was
evaluated in abdominal aorta and liver. Subjective image quality was evaluated by
assessment of image noise, spatial resolution and diagnostic acceptability.Mean
and median CTDIvol, DLP, and E; correlation between CTDIvol and DLP and patients'
weight; comparison of objective noise for the 2 scanners; association between
dose descriptors and subjective image quality.The 64-slice CT delivered to
patients 24.5% lower dose (P?0.0001) than 16-slice CT. There was a significant
correlation between all dose descriptors (CTDIvol, DLP, E) and weight
(P?0.0001). Objective noise was comparable for the 2 CT scanners. There was a
significant correlation between dose descriptors and image noise for the 64-slice
CT, and between dose descriptors and spatial resolution for the 16-slice
CT.Current dose reduction systems may reduce radiation dose without significantly
affecting image quality and diagnostic acceptability of CT exams.