Appraisal of radiation dose with 64-slice computed tomography perfusion in lung cancer patients with special reference to SSDE: An initial experience in a tertiary care hospital.
Indian J Radiol Imaging
; 27(4): 389-396, 2017.
Article
em En
| MEDLINE
| ID: mdl-29379232
ABSTRACT
CONTEXT Computed tomography perfusion (CTP) is an important functional tool for lung cancer. It is expected to deliver high radiation dose, making its accurate estimation important. Size-specific dose estimate (SSDE) is a new dose metric, which includes the scanner output as well as the patient size. AIMS:
To determine radiation dose [CT dose index (CTDIvol), dose length product (DLP), effective dose (ED), and SSDE] for CTP in lung cancer and the correlation of CTDIvol, DLP, and SSDE with effective diameter and SSDE with weight, body mass index (BMI), and the scan length. SETTINGS ANDDESIGN:
Cross-sectional study in the Department of Radio-diagnosis from October 2015 to March 2016. PATIENTS ANDMETHODS:
Due ethical approval and informed consent was taken. Thirty consecutive adult patients of lung cancer undergoing CTP study were included; various radiation dose parameters were determined and presented as mean ± SD. STATISTICAL ANALYSIS USED Paired Student's t-test and Pearson correlation using Statistical Package for the Social Sciences, Version 16.RESULTS:
Mean radiation dose was CTDIvol = 270.138 ± 1.627 mGy, DLP = 681 ± 53.496 mGy.cm, ED = 12.501 ± 0.923 mSv, SSDE = 388.90 ± 81.27 mGy. The CTDIvol and DLP had significant positive correlation (r = 0.556, P = 0.000 and r = 0.522, P = 0.003, respectively) with effective diameter. SSDE had strong negative correlation (r = -0.997, P = 0.000) with effective diameter, significant negative correlation with the BMI (r = -0.889; P = 0.000) and weight (r = -0.910, P = 0.000) of patients. Scan length was not significantly correlated in SSDE (r = -0.012, P = 0.951).CONCLUSIONS:
Smaller sized patients had greater SSDE.
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Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
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En
Ano de publicação:
2017
Tipo de documento:
Article