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Patient-Informed Organ Dose Estimation in Clinical CT: Implementation and Effective Dose Assessment in 1048 Clinical
Wanyi Fu1,2,3, Francesco Ria3,4, William Paul Segars1,3,5,6
1Department of Radiology, Duke University, 2424 Erwin Rd, Ste 302, Durham, NC 27705.
A new patient-informed framework accurately estimates organ doses in CT scans. This method provides a more precise effective dose (ED) compared to standard dose-length product (DLP) calculations, especially for diverse patient sizes.
Area of Science:
- Medical Physics
- Radiological Sciences
- Diagnostic Imaging
Background:
- Accurate patient organ dose monitoring is crucial in computed tomography (CT).
- Current methods using dose-length product (DLP) may not precisely reflect individual organ doses.
- Developing patient-specific dose estimation is essential for radiation safety.
Purpose of the Study:
- To implement and validate a patient-informed organ dose monitoring framework for clinical CT.
- To compare effective dose (ED) derived from patient-informed organ doses with ED calculated from DLP.
- To assess the accuracy and applicability of the framework across various patient demographics and scan types.
Main Methods:
- Organ doses computed using anthropomorphic phantoms, CTDIvol, and tube-current modulation.
- Expanded phantom library (58 adult, 56 pediatric, 5 pregnant, 12 ICRP models).
- Implemented in a clinical system for 1048 patients (647 abdomen-pelvis, 401 chest), comparing organ dose-based ED with DLP-based ED.
Main Results:
- Bias correction reduced organ dose estimation errors to 8% on average.
- DLP-based ED significantly differed from organ dose-based ED (up to 234.7% difference).
- DLP-based ED overestimated dose in larger patients and underestimated in smaller patients.
Conclusions:
- A comprehensive patient-informed organ dose estimation framework is now clinically applicable.
- Patient-informed organ dose monitoring offers a more accurate assessment of effective dose than DLP.
- This framework improves radiation dose assessment for adult, pediatric, and pregnant patients.
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