Image Quality and Pulmonary Nodule Detectability at Low‑dose Computed Tomography (low kVp and mAs): A phantom study
عنوان مقاله: Image Quality and Pulmonary Nodule Detectability at Low‑dose Computed Tomography (low kVp and mAs): A phantom study
شناسه ملی مقاله: JR_JMSI-12-1_012
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_JMSI-12-1_012
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Sepideh Iranmakani - Department of Radiology, Faculty of Allied Medical Sciences, Tabriz University of Medical Sciences, Departments of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Amir Reza Jahanshahi - Radiology Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Parinaz Mehnati - Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Tohid Mortezazadeh - Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
خلاصه مقاله:
Sepideh Iranmakani - Department of Radiology, Faculty of Allied Medical Sciences, Tabriz University of Medical Sciences, Departments of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Amir Reza Jahanshahi - Radiology Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Parinaz Mehnati - Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Tohid Mortezazadeh - Medical Physics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
Background: Nowadays, there has been a growing demand for low‑dose computed
tomography (LDCT) protocols. CT has a critical role in the management of the diagnosis chain
of pulmonary disease, especially in lung cancer screening. There have been introduced several
dose reduction methods, however, most of them are time‑consuming, intricate, and vendor‑based
strategies that are hardly used in clinics routinely. This study aims to evaluate the image quality
and pulmonary nodule detectability of LDCT protocols that are feasible and easy implemented.
Image quality was analyzed in a general quality control phantom (Gammex) and then in a manmade
lung phantom with nodules‑equivalent objects. Methods: This study was designed in a two steps,
in the first step, a feasible low‑dose lung CT protocol was selected with quality assessment of
accreditation phantom image. In the second step, the selected low‑dose protocol with an appropriate
image quality was performed on a manmade lung phantom in which there were objects equivalent
to the pulmonary nodule. Finally, image quality parameters of the phantom at the appropriate scan
protocol were compared with the standard protocol. Results: A reduction of about ۱۷% of kVp
and ۴۶% in tube current leads to dose reduction by about ۷۰%. The contrast‑to‑noise ratio in the
low‑dose protocol remained almost unchanged. The signal‑to‑noise ratio in the low‑dose protocol
decreased by approximately ۳۲%, and the noise level has increased by about ۱.۵ times. However,
this reduction method hardly affected the detectability of nodules in man‑made pulmonary phantom.
Conclusions: Here, we demonstrated that the LDCT scan has an insignificant effect on the perception
of lung nodules. In this study, patient dose in lung CT was reduced by modifying of kVp and mAs
about approximately ۷۰%. Hence, to step in toward low‑dose strategies in medical imaging clinics,
using easy‑implemented and feasible low‑dose strategies may be helpful.
کلمات کلیدی: Computed tomography, image quality, low‑dose radiation, lung cancer screening
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1700811/