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Use of diffusion-weighted MRI to modify radiosurgery planning in brain metastases may reduce local recurrence
Rasheed Zakaria1,2, Andreas Pomschar3, Michael D Jenkinson4,5
1Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK. rzakaria@nhs.net.
Abstract:
Stereotactic radiosurgery (SRS) is an effective and well tolerated treatment for selected brain metastases; however, local recurrence still occurs. We investigated the use of diffusion weighted MRI (DWI) as an adjunct for SRS treatment planning in brain metastases. Seventeen consecutive patients undergoing complete surgical resection of a solitary brain metastasis underwent image analysis retrospectively. SRS treatment plans were generated based on standard 3D post-contrast T1-weighted sequences at 1.5T and then separately using apparent diffusion coefficient (ADC) maps in a blinded fashion. Control scans immediately post operation confirmed complete tumour resection. Treatment plans were compared to one another and with volume of local recurrence at progression quantitatively and qualitatively by calculating the conformity index (CI), the overlapping volume as a proportion of the total combined volume, where 1 = identical plans and 0 = no conformation whatsoever. Gross tumour volumes (GTVs) using ADC and post-contrast T1-weighted sequences were quantitatively the same (related samples Wilcoxon signed rank test = -0.45, p = 0.653) but showed differing conformations (CI 0.53, p < 0.001). The diffusion treatment volume (DTV) obtained by combining the two target volumes was significantly greater than the treatment volume based on post contrast T1-weighted MRI alone, both quantitatively (median 13.65 vs. 9.52 cm3, related samples Wilcoxon signed rank test p < 0.001) and qualitatively (CI 0.74, p = 0.001). This DTV covered a greater volume of subsequent tumour recurrence than the standard plan (median 3.53 cm3 vs. 3.84 cm3, p = 0.002). ADC maps may be a useful tool in addition to the standard post-contrast T1-weighted sequence used for SRS planning.
Insights
Diffusion weighted MRI (DWI) using apparent diffusion coefficient (ADC) maps can improve stereotactic radiosurgery (SRS) planning for brain metastases. Integrating ADC maps with standard imaging creates a larger diffusion treatment volume, better covering tumor recurrence.
Area of Science:
- Neurosurgery
- Radiology
- Oncology
Background:
- Stereotactic radiosurgery (SRS) is a primary treatment for brain metastases.
- Local recurrence remains a challenge despite effective SRS.
- Optimizing treatment planning is crucial for improving outcomes.
Purpose of the Study:
- To evaluate the utility of diffusion weighted MRI (DWI) apparent diffusion coefficient (ADC) maps as an adjunct for SRS treatment planning in brain metastases.
- To compare SRS treatment plans generated with and without ADC map data.
- To assess the impact of ADC map integration on coverage of local tumor recurrence.
Main Methods:
- Retrospective analysis of 17 patients with solitary brain metastases post-resection.
- SRS treatment plans were generated using standard post-contrast T1-weighted MRI and separately using ADC maps.
- Plans were compared quantitatively and qualitatively using conformity index (CI) and coverage of recurrence volume.
Main Results:
- Gross tumor volumes (GTVs) derived from ADC maps and T1-weighted sequences were quantitatively similar but showed different conformations.
- The combined diffusion treatment volume (DTV) integrating both sequences was significantly larger than the standard T1-weighted plan (median 13.65 vs. 9.52 cm³).
- The DTV demonstrated improved coverage of subsequent tumor recurrence compared to the standard plan.
Conclusions:
- Apparent diffusion coefficient (ADC) maps offer valuable complementary information for SRS planning in brain metastases.
- Integrating ADC data into treatment planning can create a more comprehensive target volume, potentially improving local control.
- DWI-based ADC maps represent a promising adjunct to standard imaging for enhancing SRS efficacy.
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