Dataset Information

Prognostication of overall survival in patients with brain metastases using diffusion tensor imaging and dynamic susceptibility contrast-enhanced MRI.

ABSTRACT:

Objectives

To investigate the prognostic utility of DTI and DSC-PWI perfusion-derived parameters in brain metastases patients.

Methods

Retrospective analyses of DTI-derived parameters (MD, FA, CL, CP, and CS) and DSC-perfusion PWI-derived rCBV_max from 101 patients diagnosed with brain metastases prior to treatment were performed. Using semi-automated segmentation, DTI metrics and rCBV_max were quantified from enhancing areas of the dominant metastatic lesion. For each metric, patients were classified as short- and long-term survivors based on analysis of the best coefficient for each parameter and percentile to separate the groups. Kaplan-Meier analysis was used to compare mOS between these groups. Multivariate survival analysis was subsequently conducted. A correlative histopathologic analysis was performed in a subcohort (n = 10) with DTI metrics and rCBV_max on opposite ends of the spectrum.

Results

Significant differences in mOS were observed for MD_min (p < 0.05), FA (p < 0.01), CL (p < 0.05), and CP (p < 0.01) and trend toward significance for rCBV_max (p = 0.07) between the two risk groups, in the univariate analysis. On multivariate analysis, the best predictive survival model was comprised of MD_min (p = 0.05), rCBV_max (p < 0.05), RPA (p < 0.0001), and number of lesions (p = 0.07). On histopathology, metastatic tumors showed significant differences in the amount of stroma depending on the combination of DTI metrics and rCBVmax values. Patients with high stromal content demonstrated poorer mOS.

Conclusion

Pretreatment DTI-derived parameters, notably MD_min and rCBVmax, are promising imaging markers for prognostication of OS in patients with brain metastases. Stromal cellularity may be a contributing factor to these differences.

Advances in knowledge

The correlation of DTI-derived metrics and perfusion MRI with patient outcomes has not been investigated in patients with treatment naïve brain metastasis. DTI and DSC-PWI can aid in therapeutic decision-making by providing additional clinical guidance.

SUBMITTER: de Godoy LL

PROVIDER: S-EPMC9733614 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

Prognostication of overall survival in patients with brain metastases using diffusion tensor imaging and dynamic susceptibility contrast-enhanced MRI.

de Godoy Laiz Laura LL Chen Yin Jie YJ Chawla Sanjeev S Viaene Angela N AN Wang Sumei S Loevner Laurie A LA Alonso-Basanta Michelle M Poptani Harish H Mohan Suyash S

The British journal of radiology 20221117 1140

<h4>Objectives</h4>To investigate the prognostic utility of DTI and DSC-PWI perfusion-derived parameters in brain metastases patients.<h4>Methods</h4>Retrospective analyses of DTI-derived parameters (MD, FA, CL, CP, and CS) and DSC-perfusion PWI-derived rCBV<sub>max</sub> from 101 patients diagnosed with brain metastases prior to treatment were performed. Using semi-automated segmentation, DTI metrics and rCBV<sub>max</sub> were quantified from enhancing areas of the dominant metastatic lesion. ...[more]

PMID: 36354164

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Dataset Information

Prognostication of overall survival in patients with brain metastases using diffusion tensor imaging and dynamic susceptibility contrast-enhanced MRI.

Objectives

Methods

Results

Conclusion

Advances in knowledge

Publications

Prognostication of overall survival in patients with brain metastases using diffusion tensor imaging and dynamic susceptibility contrast-enhanced MRI.

Similar Datasets

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