Performing Quality Control on Magnetic Resonance Imaging Liver Fat/Iron Quantification Studies: A Critical...

Area of Science:

• Radiology
• Medical Imaging
• Quantitative MRI

Background:

• Nonalcoholic fatty liver disease and iron overload can progress to cirrhosis.
• Early detection is vital for managing these conditions.
• Magnetic resonance (MR) imaging, using chemical shift-encoded sequences and single-voxel spectroscopy (SVS), is key for assessing liver fat and iron content.

Purpose of the Study:

• To evaluate technical quality and identify technologist performance deficiencies in fat/iron MR quantification studies.
• To assess the acceptability of chemical shift-encoded sequences (q-Dixon, IDEAL-IQ) and SVS for liver fat/iron assessment.

Main Methods:

• Retrospective review of 87 fat/iron MR studies.
• Evaluation of technical acceptability criteria for q-Dixon/IDEAL-IQ (data handling, coverage, artifacts, motion).
• Assessment of SVS acceptability (data handling, curve-fit, peak separation, peak sharpness).

Main Results:

• 11% of studies had data handling errors (missing maps/sequences).
• 27% of q-Dixon/IDEAL-IQ studies were unacceptable due to incomplete field coverage, artifacts, or motion.
• 28% of SVS sequences were unacceptable due to broad water peaks or poor curve-fits.

Conclusions:

• High rates of preventable errors in fat/iron MR quantification necessitate routine quality control.
• Evaluating technologist performance and addressing technical deficiencies are essential.
• Implementing checklists and routine audits may improve study quality.