Related Experiment Video
Updated: Jan 21, 2026
09:10
An Immunocompetent Murine Model for Laser Interstitial Thermal Therapy of Glioblastoma
Published on: November 15, 2024
907
Dynamic Contrast-Enhanced MRI in Patients with Brain Metastases Undergoing Laser Interstitial Thermal Therapy: A
J I Traylor1, D C A Bastos1, D Fuentes2
1From the Departments of Neurosurgery (J.I.T., D.C.A.B., M.M., R.P., G.R., S.S.P.).
AJNR. American Journal of Neuroradiology
|August 3, 2019
Summary
Postoperative contrast uptake measured by initial area under the time-to-signal intensity curve at 60 seconds (iAUC60) on MRI can predict progression-free survival in brain metastasis patients after laser ablation therapy.
Area of Science:
- Neuro-oncology
- Medical Imaging
- Neurosurgery
Background:
- Predicting tumor recurrence after laser ablation for intracranial malignancy is challenging.
- Dynamic contrast-enhanced MRI (DCE-MRI) is a key imaging modality.
Purpose of the Study:
- To assess the efficacy of initial area under the time-to-signal intensity curve at 60 seconds (iAUC60) from DCE-MRI in predicting progression-free survival.
- To evaluate iAUC60's utility in patients with brain metastases undergoing laser interstitial thermal therapy (LITT).
Main Methods:
- Prospective analysis of 33 LITT cases for brain metastases in 27 patients.
- DCE-MRIs were analyzed preoperatively, postoperatively, and at 1-month follow-up.
- iAUC60 and change in iAUC60 (ΔiAUC60) were calculated and correlated with progression-free survival.
Main Results:
- A significant correlation was found between postoperative iAUC60 values and progression-free survival (Pearson P = .03, Cox P = .01).
- Preoperative and 1-month follow-up iAUC60 values did not significantly correlate with progression-free survival.
- ΔiAUC60 values did not show a statistically significant relationship with progression-free survival.
Conclusions:
- Postoperative iAUC60 from DCE-MRI shows promise for prognostication in patients undergoing LITT for brain metastases.
- This metric may help overcome challenges in predicting outcomes due to posttreatment changes.
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