In plain language
In 234 complex endovascular procedures, image-processing and noise-reduction software was associated with about 60% lower radiation dose to patients and to primary and assistant operators. Operator practice patterns were similar in both groups. This measures dose, not health outcomes.
At a glance
- Type of study
- Original research, Retrospective cohort study
- Who was studied
- Vascular surgeons, Patients
- Size
- n = 234 procedures
- Summary based on
- the abstract
What it found
Radiation dose to patients and to primary and assistant operators fell by 60% with the Clarity image-processing system compared with procedures without it.
Key figures: 60% reduction
Fluorography dose rates fell by 44% to 70% depending on procedure type.
Key figures: 44% (FEVAR) to 70% (lower extremity)
Fluoroscopy dose rates fell by about 37% to 47% depending on procedure type.
Key figures: 37% to 47%
Operator practice patterns did not differ between the two groups, suggesting the reduction came from the software.
Limits to keep in mind
Single-vendor before-and-after comparison of 234 complex endovascular procedures with no randomization; image quality was not reported as formally measured in the abstract. Operator dose came from one dosimeter outside the apron, converted to an effective-dose estimate.
Related research summaries
- Radiation Awareness for EVAR in Hybrid Operating Room: An Instant Operator Risk Chart (2021, Dosimetry measurement study)
- Comparison of Radiation Exposure during Endovascular Treatment of Peripheral Arterial Disease with Flat-Panel Detectors on Mobile C-arm versus Fixed Systems (2017, Prospective cohort study)
- Evaluating Strategies For Reducing Scattered Radiation In Fixed-Imaging Hybrid Operating Suites (2017, Prospective cohort study)
- Modern Fixed Imaging Systems Reduce Radiation Exposure To Patients And Providers (2017, Retrospective cohort study)
- Radiation exposure to operating room personnel and patients during endovascular procedures (2013, Dosimetry measurement study)
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.