Clinical Scorecard: Assessment of Advanced Processing in Simultaneous Multi-Slice Acquisition for Free-Breathing Diffusion-Weighted Imaging in Liver Metastasis Patients

At a Glance

Key Highlights

• Free-breathing DWI is preferred for liver imaging due to higher signal-to-noise ratio and better reproducibility compared to breath-hold or respiratory-triggered methods.
• Simultaneous multi-slice (SMS) DWI reduces acquisition time (~2:46 min vs. ~3:37 min) while maintaining image quality.
• Advanced processing integrated with SMS-DWI includes motion correction, image registration, adaptive averaging, and intensity correction, enhancing image quality and ADC measurement reliability.

Guideline-Based Recommendations

Diagnosis

• Use free-breathing DWI with multiple averages per b-value for liver tumor detection and characterization.
• Employ SMS-DWI techniques to accelerate acquisition without compromising image quality.

Management

• Incorporate advanced image processing steps (motion correction, registration, adaptive averaging, intensity correction) in SMS-DWI to improve image quality and lesion delineation.
• Select monopolar diffusion-encoding schemes over bipolar for SMS-DWI due to better SNR and image quality.

Monitoring & Follow-up

• Assess apparent diffusion coefficient (ADC) values derived from SMS-DWI with and without advanced processing to ensure consistency and reliability.
• Monitor acquisition parameters such as repetition time (TR) to balance image quality and scan duration.

Risks

• Shorter TR in SMS-DWI may reduce image quality; a TR of 5 seconds is recommended as a trade-off.
• Bipolar SMS-DWI may result in lower SNR and poorer image quality due to longer echo time (TE).

Patient & Prescribing Data

Oncological patients with liver metastases undergoing MRI

SMS-DWI with advanced processing reduces scan time and improves image quality, facilitating better lesion detection and ADC measurement without additional patient burden.

Clinical Best Practices

• Use free-breathing DWI with multiple averages to optimize SNR and reproducibility in liver imaging.
• Implement SMS-DWI with monopolar diffusion encoding and advanced processing to accelerate acquisition and enhance image quality.
• Maintain a TR of approximately 5 seconds during SMS-DWI to balance image quality and acquisition speed.
• Apply inline advanced processing steps including motion correction, image registration, adaptive averaging, and intensity correction for optimal image reconstruction.

References

• Oncology applications of DWI
• Free-breathing DWI advantages
• Simultaneous multi-slice DWI technique
• Advanced processing in SMS-DWI