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Updated: Jul 10, 2026
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High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
Published on: December 16, 2022
Optimizing Chest Computed Tomography Imaging Protocols: A Narrative Review on Dose Reduction and Diagnostic Efficacy
Suhas Tivaskar1, Anurag Luharia2, Gaurav V Mishra3
1Department of Radiology and Imaging Technology, School of Allied Health Sciences, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India.
Journal of Medical Physics
|July 9, 2026
Summary
Radiation dose reduction in chest CT is achievable using advanced reconstruction techniques and phantom-based verification. These methods ensure diagnostic quality while minimizing patient radiation exposure.
Area of Science:
- Radiology
- Medical Imaging
- Radiation Oncology
Background:
- Chest computed tomography (CT) use is rising globally for various applications.
- This increase leads to higher aggregate radiation doses and varied dose management strategies across institutions.
Purpose of the Study:
- To review literature on radiation dose optimization in chest CT.
- Focus on phantom-based protocols, deep learning reconstruction, and protocol modification.
Main Methods:
- Systematic narrative synthesis of studies from Jan 2015-Jan 2025.
- Searched PubMed, Scopus, ScienceDirect for adult chest CT radiation dose optimization.
- Included human and phantom studies reporting dose metrics and image quality.
Main Results:
- Iterative/model-based reconstruction reduced dose by 30%-60% without quality loss.
- Deep learning reconstruction achieved up to 70% dose reduction with superior noise control.
- Phantom verification improved protocol reproducibility and reduced variability.
- Ultra-low-dose CT (<0.4 mSv) proved reliable for lung nodule detection.
Conclusions:
- Combining phantom verification with advanced reconstruction significantly reduces chest CT radiation dose.
- Task-specific protocols and site-specific validation are crucial for safe clinical use.
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