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Study the variations in radiation doses in different multi-slice CT scan machines
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Objectives: This study aimed to measure variations in dose output and patient’s effective dose across the different computed tomography scanners during standard CT examinations of head, chest and abdomen, so as to determine patient, and machine settings that contribute to variations in radiation dose to optimize patient effective dose. Methods: Retrospective, study performed in different hospitals, in Najran province (K.S.A) from October 2022 to June 2023. The study comprise 360 adults CT examinations. The mean values of CT dose index volume (CTDIvol) and dose length product (DLP) were measured. The patient effective dose (ED) were calculated for each protocol and compared among different CT scanners. Results: The mean values of CTDIvol , DLP, and ED, varied across the different CT scanners, Regarding abdomen CT, the CTDIvol mean values were (5.56 mGy to 18.655 mGy) , the DLP (289.78 to 968.241 mGy/cm), and mean effective doses were (4.34 to 14.5 mSv), in chest CTs the mean values of CTDIvol were (5.05 to 14.39mGy), the DLP were (202.84 to 499.098mGy/cm), and median effective doses were (2.85 to 6.97 mSv), in head CTs the mean values of CTDIvol were (42.4to 68.278mGy), the DLP were (781 to 1209.18mGy/cm), and effective doses were (1.636 to 2.528mSv). Conclusion: Regarding selected exams, CTDI, DLP and ED were found to be varied from low variations in head CT scan, to medium in chest CT scan and high variation in abdomen CTs among different CT scanners, The highest values of CTDI and DLP were noted in head CTs followed by abdomen, and the lowest were in chest CTs. The most factors affected the CT dose variations were the technical parameters settings, mainly the number of slices, however the scanner specifications reported some impact. Optimizing dose to a reliable standard for each anatomical part should be adjusting independently by each department according to the scanner characteristics, settings and patient factors.
Title: Study the variations in radiation doses in different multi-slice CT scan machines
Description:
Objectives: This study aimed to measure variations in dose output and patient’s effective dose across the different computed tomography scanners during standard CT examinations of head, chest and abdomen, so as to determine patient, and machine settings that contribute to variations in radiation dose to optimize patient effective dose.
Methods: Retrospective, study performed in different hospitals, in Najran province (K.
S.
A) from October 2022 to June 2023.
The study comprise 360 adults CT examinations.
The mean values of CT dose index volume (CTDIvol) and dose length product (DLP) were measured.
The patient effective dose (ED) were calculated for each protocol and compared among different CT scanners.
Results: The mean values of CTDIvol , DLP, and ED, varied across the different CT scanners, Regarding abdomen CT, the CTDIvol mean values were (5.
56 mGy to 18.
655 mGy) , the DLP (289.
78 to 968.
241 mGy/cm), and mean effective doses were (4.
34 to 14.
5 mSv), in chest CTs the mean values of CTDIvol were (5.
05 to 14.
39mGy), the DLP were (202.
84 to 499.
098mGy/cm), and median effective doses were (2.
85 to 6.
97 mSv), in head CTs the mean values of CTDIvol were (42.
4to 68.
278mGy), the DLP were (781 to 1209.
18mGy/cm), and effective doses were (1.
636 to 2.
528mSv).
Conclusion: Regarding selected exams, CTDI, DLP and ED were found to be varied from low variations in head CT scan, to medium in chest CT scan and high variation in abdomen CTs among different CT scanners, The highest values of CTDI and DLP were noted in head CTs followed by abdomen, and the lowest were in chest CTs.
The most factors affected the CT dose variations were the technical parameters settings, mainly the number of slices, however the scanner specifications reported some impact.
Optimizing dose to a reliable standard for each anatomical part should be adjusting independently by each department according to the scanner characteristics, settings and patient factors.
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