Document Type : Original Article(s)
Authors
- Fariba Zarei 1, 2
- Seyedeh Marzieh Ahmadi 2
- Saber Dehbani-Zadeh 2
- Anahita Jafari 1
- Vyas Akondi 3
- Sabyasachi Chatterjee 4, 5
- Seyed Alireza Mirhosseini 6
- Rezvan Ravanfar Haghighi 1
1 Medical Imaging Research Centre, Shiraz University of Medical Sciences, Shiraz, Iran
2 Department of Radiology, Shiraz University of Medical Sciences, Shiraz, Iran
3 Department of Physical Sciences, Indian Institute of Science Education and Research (IISER) Berhampur, Berhampur, Odisha 760010, India
4 Retired Scientist from Indian Institute of Astrophysics, Tamil Nadu, India
5 Ongil, 79 D3, Sivaya Nagar Reddiyur, Alagapuram, Tamil Nadu, India
6 Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
Abstract
Background: X-ray computed tomography (CT) is a standard tool for diagnosing bone abnormalities. CT dose optimization is strongly recommended, due to the stochastic effects of x-ray. This study aims to assess the effectiveness of ultra-low-dose CT (ULD-CT) imaging, reconstructed using an Iterative Reconstruction (IR) algorithm, in detecting bone trauma and disorders.
Methods: In the present cross-sectional study, 71 patients with CT requests for spine or extremity (limb) bone underwent scanning using standard dose (SD) and ULD-CT protocols, in Shahid Faghihi Hospital, Shiraz, Iran from June 2019 to June 2020. The SD and ULD-CT protocols used 120 kVp and 80 kVp, respectively. The CT images were reconstructed using the standard and IR algorithms. CT dose indices, including the volume CT dose index (CTDIvol), dose-length product (DLP), and effective dose (ED), were employed. To assess image quality, a five-point scoring system was used. The sensitivity and specificity of the ULD-CT images were calculated.
Results: The findings indicated that ULD-CT images accurately identified 113 out of 118 bone trauma and disorders. The quality of ULD-CT images received “very good”, “good” and “acceptable” scores for both spine and extremity (limb) bones. The sensitivity and specificity of ULD-CT images for bone trauma and disorders were 67%–95% and 100%, respectively, with about a 98% dose reduction.
Conclusion: The ULD-CT protocol for bone imaging achieved a remarkable dose reduction, while the image quality was reported as acceptable. Consequently, ULD-CT images reconstructed using an IR are suitable and can be tuned further in the future for acceptable use in patients with bone trauma and disorders.
Keywords
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