ArticleQuantitative imaging in medicine and surgery2018
Improved image quality of low-dose CT combining with iterative model reconstruction algorithm for response assessment in patients after treatment of malignant tumor.
Article in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Ultra-Low Dose Computed Tomography Imaging in Quantifying Bone Trauma and Disorders: A Cross-Sectional Study.Iranian journal of medical sciences · 2025Article
- Optimization of Postprocessing parameters for abdominal Forensic CT scans.Forensic science international. Synergy · 2024Article
- Article
- Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.The British journal of radiology · 2021Article
- The Feasibility of Contrast-to-Noise Ratio on Measurements to Evaluate CT Image Quality in Terms of Low-Contrast Detailed Detectability.Medical sciences (Basel, Switzerland) · 2020Article
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Authors and funding
9 authors.
Funding
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Abstract
backgroundTo evaluate the image quality and radiation dose of low-dose (LD) computed tomography (LD-CT) combining with iterative model reconstruction (IMR) algorithm for response assessment in patients after treatment of malignant tumor compared with routine-dose CT (RD-CT).
methodsForty-seven patients [mean age 57.8±10.9 years, 30 males, body mass index (BMI) 22.09±2.35 kg/m
resultsEffective radiation dose of LD-CT scans was reduced 54.8% compared to RD-CT scans (26.89±3.35
conclusionsIMR is able to help more than half of reduction of radiation dose without compromising the quality of diagnostic information in patients after treatment of malignant tumors to chest and abdomen CT for response assessment.
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