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Risk factors for motion artifacts in fast spin-echo T2-weighted imaging of the prostate magnetic resonance imaging: a
Takuya Kobata1,2, Tatsuya Yamasaki3, Hiroki Katayama3
1Division of Clinical Radiology, Department of Medical Technology, Kagawa University Hospital, 1750-1 Ikenobe, Miki-Cho, Kita-Gun, Kagawa, 761-0793, Japan. kobata.takuya@kagawa-u.ac.jp.
Abstract:
Prostate cancer diagnosis using fast spin-echo (FSE) T2-weight imaging (T2WI) suffers from motion artifacts (T2-MA). We aimed to investigate the risk factors associated with T2-MA. We retrospectively analyzed the basic patient information and localizer images of 168 patients who underwent prostate magnetic resonance imaging at our institution between April 2019 and December 2021. FSE T2WI image quality was classified into Poor, Acceptable, and Excellent groups based on T2-MA severity. Between-group differences were analyzed using the Kruskal-Wallis test, and multinomial logistic regression was used to calculate adjusted odds ratios (ORs) for T2-MA. The bladder area of the Acceptable group was significantly larger than that of the Poor group (P = 0.010). The rectal area was significantly larger in the Poor group than in the Excellent group (P = 0.013). Larger rectal and bladder areas in the localizer image were significant risk factors for severe (OR: 1.136) and mild (OR: 1.032) T2-MA, respectively.
Insights
Larger rectal and bladder areas on localizer images increase the risk of motion artifacts in prostate cancer diagnosis. This impacts fast spin-echo T2-weight imaging quality.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Fast spin-echo T2-weight imaging (T2WI) is crucial for prostate cancer diagnosis.
- Motion artifacts (T2-MA) degrade T2WI quality, potentially affecting diagnostic accuracy.
- Identifying risk factors for T2-MA is essential for improving image quality.
Purpose of the Study:
- To investigate the risk factors associated with motion artifacts (T2-MA) in fast spin-echo T2-weight imaging (T2WI) for prostate cancer diagnosis.
- To determine the relationship between patient information, localizer image characteristics, and T2-MA severity.
Main Methods:
- Retrospective analysis of 168 prostate MRI scans (April 2019 - December 2021).
- Classification of T2WI image quality into Poor, Acceptable, and Excellent groups based on T2-MA severity.
- Statistical analysis using Kruskal-Wallis test and multinomial logistic regression to identify risk factors and calculate odds ratios (ORs).
Main Results:
- A larger bladder area in localizer images was associated with mild T2-MA (OR: 1.032).
- A larger rectal area in localizer images was a significant risk factor for severe T2-MA (OR: 1.136).
- Significant differences in bladder and rectal areas were observed between image quality groups.
Conclusions:
- Localizer image measurements of rectal and bladder areas are significant predictors of T2-MA in prostate MRI.
- These findings can help anticipate and potentially mitigate motion artifacts during prostate cancer diagnosis.
- Optimizing imaging protocols based on these risk factors may improve diagnostic confidence.
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