In plain language
In about 2,000 coronary angiography and percutaneous coronary intervention (PCI) patients, a system with image noise reduction and optimized acquisition cut median patient dose-area product by about two thirds. Staff dose was not measured, though lower patient dose usually means less scatter for the fluoroscopy team.
At a glance
- Type of study
- Original research, Retrospective cohort study
- Who was studied
- Patients, Interventional cardiologists
- Size
- n = 1,966 patients
- Summary based on
- the abstract
What it found
Median dose-area product (DAP) across all procedures fell by 66% with the noise reduction system compared with the reference system.
Key figures: 172.7 to 59.4 Gy cm(2); 66%; p < 0.0001
Diagnostic coronary angiography DAP fell from 155.1 to 52.0 Gy cm2 (66% reduction).
Key figures: 155.1 to 52.0 Gy cm(2); 66%
PCI DAP fell from 229.0 to 85.8 Gy cm2 (63% reduction).
Key figures: 229.0 to 85.8 Gy cm(2); 63%
Dose reduction was consistent across the three main cardiologists.
Key figures: 68%, 60% and 67%
Limits to keep in mind
Retrospective before-after comparison at one centre with different time periods, so other practice changes may contribute. Only patient DAP was measured; staff dose was not assessed.
Related research summaries
- Two Central Nervous System Tumors in One Catheter Lab: Time to Rethink Radiation Protection (2026, Retrospective cohort study)
- Factors Contributing To Radiation Dose For Patients And Operators During Diagnostic Cardiac Angiography (2018, Retrospective cohort study)
- Operator radiation exposure during transradial coronary angiography: Effect of single vs. double catheters (2017, Randomized trial)
- Reduction of radiation exposure during complex interventions for chronic total coronary occlusions: Implementing low dose radiation protocols without affecting procedural success rates (2017, Retrospective cohort study)
- Ionizing Radiation Exposure In Interventional Cardiology: Current Radiation Protection Practice Of Invasive Cardiology Operators In Lithuania (2016, Cross-sectional survey)
How this summary was made
ORSIF prepared this summary with AI assistance from the abstract of the paper. A program then checked that the passage supporting each finding appears word for word in that source. A person has not yet reviewed each summary, so read the original before relying on a number. ORSIF summarizes research and does not endorse any product or company. Report a problem with this summary.
Prepared November 3, 2026.