5.0-tesla abdominal MRI: more signal, and more artefact to manage

Design

Prospective two-cohort image-quality comparison across field strengths

Population

348 patients undergoing upper-abdominal MRI and 31 volunteers scanned on all three scanners

Primary outcome

Objective signal metrics and subjective image quality and diagnostic confidence

Effect

5.0 > 3.0 > 1.5 tesla for signal and quality (p < 0.001); more motion and diffusion artefact at 5.0 tesla

Higher field strength promises more signal, and 5.0-tesla scanners are now entering clinical use. This prospective study compared 5.0 tesla with 1.5 and 3.0 tesla for upper-abdominal MRI in 348 consecutive patients and 31 volunteers scanned on all three.

Objective signal-to-noise and contrast-to-noise rose in a clear gradient — 5.0 above 3.0 above 1.5 tesla — and radiologists rated 5.0 tesla highest for anatomical detail, overall image quality and diagnostic confidence. The trade-off was more cardiac motion artefact, less uniform liver signal on T2-weighted imaging, and greater distortion and ghosting on diffusion-weighted imaging.

For a department weighing the technology, the finding is that 5.0 tesla is clinically feasible and improves liver image quality, but the artefact profile needs sequence optimisation before it is a drop-in upgrade. It is an early feasibility signal from a single programme, not a reason to assume 5.0 tesla is better for every abdominal indication.

• Signal-to-noise and contrast-to-noise rose in a 5.0 > 3.0 > 1.5 tesla gradient (all p < 0.001).
• Radiologists rated 5.0 tesla highest for anatomical detail, image quality and diagnostic confidence.
• 5.0 tesla had more cardiac motion artefact, less uniform T2 liver signal, and more diffusion-weighted distortion.
• Expect sequence optimisation to be needed before 5.0 tesla is reliable across abdominal indications.

Why it matters

It tempers the assumption that higher field strength is simply better, naming where 5.0 tesla still falls short.

Don't overread it

A single-centre feasibility study of image quality — it does not show improved diagnostic accuracy or patient outcomes.

The statistics, in plain English

Higher signal-to-noise generally means clearer images, which is why the subjective quality scores followed the field-strength gradient. But signal is not everything: the extra artefacts at 5.0 tesla can degrade specific sequences, so better average quality does not guarantee a better scan for every question.

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