Feasibility of PI-RADS Compliant Prostate MRI at 0.55T
Spencer, A. P. C.; Avola, E.; Ilanjian, G.; Matthey, J.; Ledoux, J.-B.; Dromain, C.; Vietti-Violi, N.; Jelescu, I.
Show abstract
PurposeTo demonstrate the feasibility of prostate MRI at low-field and provide an optimised low-field prostate MRI protocol. MethodsWe acquired bi-parametric prostate MRI in 15 healthy male volunteers (mean age 62 years, 95% CI 57-67.5), including tri-planar T2-weighted imaging (WI) and axial diffusion weighted imaging (DWI), with parameters adhering to PI-RADS guidelines. Deep learning reconstruction (DLR) was used to enhance image quality. SNR and CNR were measured in the prostate peripheral zone (PZ) and transitional zone (TZ). SNR was compared between T2-WI with and without DLR, between DWI data acquired with different b-values, and between different calculated b-value images. Radiologists assigned PI-QUAL qualitative image scores. ResultsThe acquisition time (minutes:seconds) was 4:02 for axial T2-WI and 6:32 for DWI. Axial T2-WI had a median (IQR) SNR of 8.72 (7.27-9.67) in the TZ and 12.84 (12.00-15.87) in the PZ. CNR between the PZ and TZ was 5.84 (4.06-6.82). DLR substantially improved T2-WI quality (p<0.05). The optimised DWI protocol had b-values of 50 and 800 s mm-2, with a calculated b-value image at 1500 s mm-2. Median apparent diffusion coefficient (ADC) values were 1.70 and 1.44x10-3 mm2 s-1 in the PZ and TZ, respectively. All participants had at least acceptable diagnostic quality (PI-QUAL score[≥]2/3), of which ten (67%) had optimal diagnostic quality (PI-QUAL score=3/3). ConclusionProstate MRI is feasible at low-field, providing clinically acceptable acquisition times and diagnostic quality images.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Improving Rectal Tumor Segmentation with Anomaly Fusion Derived from Anatomical Inpainting: A Multicenter Study 92%
- Automated cervix biometry, volumetry and normative models for 3D motion-corrected T2-weighted 0.55-3T fetal MRI during 2nd and 3rd trimesters 92%
- An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids 92%
Similar papers in this journal
- Simulated Diagnostic Performance of Ultra-Low-Field MRI: Harnessing Open-Access Datasets to Evaluate Novel Devices 92%
- Increased Brain Volumetric Measurement Precision from Multi-Site 3D T1-weighted 3T Magnetic Resonance Imaging by Correcting Geometric Distortions 92%
- Tailored Magnetic Resonance Fingerprinting 91%
Similar papers in this journal
- Improved characterization of diffusion in normal and cancerous prostate tissue through optimization of the restriction spectrum imaging signal model 93%
- Pancreas MRI segmentation into head, body, and tail enables regional quantitative analysis of heterogeneous disease 92%
- Correction of Artifacts Induced by B0 Inhomogeneities in Breast MRI using Reduced Field-of-View Echo-Planar Imaging and Enhanced Reverse Polarity Gradient Method 92%
Similar papers in this journal
- Prospective Motion Correction and Automatic Segmentation of Penetrating Arteries in Phase Contrast MRI at 7 T 93%
- Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting improves intravoxel incoherent motion (IVIM) analysis in the human kidney 92%
- Investigation of diffusion time dependence of apparent diffusion coefficient and intravoxel incoherent motion parameters in the human kidney 92%
Similar papers in this journal
- Manganese-enhanced MRI (MEMRI) in breast and prostate cancers: exploring the potential role of calcium receptors. 92%
- Increased brain coverage and efficiency when measuring current-induced magnetic fields by use of simultaneous multi-slice echo-planar MRI 91%
- 3 versus 7 Tesla Magnetic Resonance Imaging for parcellations of subcortical brain structures 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.