Research summary, original research, 2017

Optimisation of imaging protocols in interventional cardiology: impact on patient doses

Ordiales JM, Vano E, Nogales JM, Ramos J, López-Mínguez JR, Martínez G, et al.. Journal of radiological protection : official journal of the Society for Radiological Protection. 2017

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In plain language

In interventional cardiology, halving fluoroscopy frame rate and lowering cine dose per frame cut median patient kerma-area product by 37-43% across 1635 procedures, with image quality judged clinically sufficient. Staff dose was not measured.

At a glance

Type of study
Original research
Who was studied
Patients, Phantom or simulation (no people), Interventional cardiologists, Medical physicists and radiation safety officers
Size
n = 1,635 procedures
Summary based on
the abstract

What it found

  • After clinical implementation of the optimised protocol, median kerma-area product fell for coronary angiography (CA) and percutaneous transluminal coronary angioplasty (PTCA).

    Key figures: 37% for CA and 43% for PTCA

  • In phantom testing, entrance air kerma fell by about half in low fluoroscopy mode and by 18%-38% for cine with the new protocol.

    Key figures: around 50%; 18%-38%

  • The new fluoroscopy mode halved the frame rate from 15 to 7.5 frames/s at similar dose per frame, and standard cine dose per frame was cut by about 26%.

    Key figures: 7.5 frames s-1 vs 15 frames s-1; approximately 26%

  • Phantom image quality was unchanged in fluoroscopy mode and showed no noticeable change in cine mode.

  • Clinical image quality under the new protocol was judged sufficient for standard practice across 1635 procedures.

    Key figures: 1635 procedures

Limits to keep in mind

Uncontrolled before-after evaluation combining phantom measurements and clinical patient dose, apparently at a single centre; staff dose was not measured, case-mix adjustment was not reported, and clinical image quality assessment was subjective.

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.