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Impact of MRI Texture Analysis on Complication Rate in MRI-Guided Liver Biopsies
Jakob Leonhardi1, Maike Niebur1, Anne-Kathrin Höhn2
1Department of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Abstract:
Magnetic resonance imaging (MRI)-derived texture features are quantitative imaging parameters that may have valuable associations with clinical aspects. Their prognostic ability in patients undergoing percutaneous MRI-guided liver biopsy to identify associations with post-interventional bleeding complications and biopsy success rate has not been sufficiently investigated. The patient sample consisted 79 patients (32 females, 40.5%) with a mean age of 58.7 ± 12.4 years. Clinical parameters evaluated included comorbidities, pre-existing liver disease, known cancer diagnosis, and hemostaseological parameters. Several puncture-related parameters such as biopsy angle, distance of needle entry to capsule, and lesion were analyzed. MRI texture features of the target lesion were extracted from the planning sequence of the MRI-guided liver biopsy. Mann-Whitney U test and Fisher's exact test were used for group comparison; multivariate regression model was used for outcome prediction. Overall, the diagnostic outcome of biopsy was malignant in 38 cases (48.1%) and benign in 32 cases (40.5%). A total of 11 patients (13.9%) had post-interventional bleeding, while nine patients (11.4%) had a negative biopsy result. Several texture features were statistically significantly different between patients with and without hemorrhage. The texture feature GrVariance (1.37 ± 0.78 vs. 0.80 ± 0.35, p = 0.007) reached the highest statistical significance. Regarding unsuccessful biopsy results, S(1,1)DifEntrp (0.80 ± 0.10 vs. 0.89 ± 0.12, p = 0.022) and S(0,4)DifEntrp (1.14 ± 0.10 vs. 1.22 ± 0.11, p = 0.021) reached statistical significance between groups. Several MRI texture features of the target lesion were associated with bleeding complications or negative biopsy after MRI-guided percutaneous liver biopsy. This could be used to identify at-risk patients at the beginning of the procedure and should be further analyzed.
Insights
Magnetic resonance imaging (MRI) texture features can predict bleeding risks and biopsy success in liver procedures. These quantitative imaging parameters help identify patients at higher risk before percutaneous MRI-guided liver biopsy.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Quantitative imaging parameters derived from MRI, known as texture features, show potential clinical associations.
- The prognostic value of these texture features for predicting post-biopsy bleeding complications and success rates in percutaneous MRI-guided liver biopsies remains under-investigated.
Purpose of the Study:
- To investigate the association of MRI-derived texture features with post-interventional bleeding complications and biopsy success rates.
- To identify potential imaging biomarkers for risk stratification in patients undergoing percutaneous MRI-guided liver biopsy.
Main Methods:
- Analysis of 79 patients undergoing percutaneous MRI-guided liver biopsy.
- Extraction of MRI texture features from the planning sequence of target lesions.
- Statistical analysis including Mann-Whitney U test, Fisher's exact test, and multivariate regression models to correlate texture features with clinical outcomes (bleeding, biopsy success).
Main Results:
- Several MRI texture features were significantly different between patients with and without post-biopsy hemorrhage.
- The texture feature GrVariance showed the highest statistical significance (p=0.007) in relation to bleeding complications.
- Specific texture features, S(1,1)DifEntrp and S(0,4)DifEntrp, were significantly associated with unsuccessful biopsy results (p=0.022 and p=0.021, respectively).
Conclusions:
- MRI texture features of the target liver lesion are associated with bleeding complications and negative biopsy outcomes.
- These quantitative imaging parameters may aid in identifying patients at risk for adverse events or biopsy failure prior to the procedure.
- Further research is warranted to validate these findings and integrate texture analysis into clinical practice for enhanced patient safety and procedural success.
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