What does this research mean for the field?

Implementing a semi-automated remote data collection and analysis system for monitoring reject rates and exposure indices significantly improves exposure consistency and reduces reject rates in high-volume digital radiography. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop a sustainable system for improving consistency in image quality and dose in digital radiography across multiple facilities.

June 4, 2026Physica MedicaOpen Access

A holistic approach for consistent image quality and dose in digital radiography in a large imaging enterprise

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Authors

ASAlexander ScottCedars-Sinai Medical Center BPBarry D. PressmanCedars-Sinai Medical Center SCSamantha CalcagnoCedars-Sinai Medical Center

Discussion

Member takes

Implication

Randomized trial demonstrates improved image quality and dose consistency in a large imaging enterprise, implying enhanced patient safety.

Key Points

To develop a sustainable system for improving consistency in image quality and dose in digital radiography across multiple facilities.
Developed a semi-automated remote data collection system for exposure metrics from 68 DR systems.
Analyzed 50,000 DR exposures monthly to track reject rates and exposure indices (EI).
Implemented root-cause analysis for technologists with high reject rates.
Mean reject rate decreased from 14% to 2.5% since 2011.
Median EI improved from 350 to 220, with specific torso protocols showing a 50-60% reduction.
In 2023, 66% of technologists with performance alerts complied with standards the following month.

Cite This Study

Scott et al. (2026) studied this question.

synapsesocial.com/papers/6a21151ad499ed480b16e6ce https://doi.org/10.1016/j.ejmp.2026.105831

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June 4, 2026Physica MedicaOpen Access

A holistic approach for consistent image quality and dose in digital radiography in a large imaging enterprise

View Full Paper

Ask AI

Bookmark

Authors

ASAlexander ScottCedars-Sinai Medical Center BPBarry D. PressmanCedars-Sinai Medical Center SCSamantha CalcagnoCedars-Sinai Medical Center

Discussion

Member takes

Implication

Randomized trial demonstrates improved image quality and dose consistency in a large imaging enterprise, implying enhanced patient safety.

Key Points

To develop a sustainable system for improving consistency in image quality and dose in digital radiography across multiple facilities.
Developed a semi-automated remote data collection system for exposure metrics from 68 DR systems.
Analyzed 50,000 DR exposures monthly to track reject rates and exposure indices (EI).
Implemented root-cause analysis for technologists with high reject rates.
Mean reject rate decreased from 14% to 2.5% since 2011.
Median EI improved from 350 to 220, with specific torso protocols showing a 50-60% reduction.
In 2023, 66% of technologists with performance alerts complied with standards the following month.

Cite This Study

Scott et al. (2026) studied this question.

synapsesocial.com/papers/6a21151ad499ed480b16e6ce https://doi.org/10.1016/j.ejmp.2026.105831

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