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Establishing Intracranial Brain Tumor Xenografts With Subsequent Analysis of Tumor Growth and Response to Therapy using Bioluminescence Imaging
Published on: July 13, 2010
CNS tumors: monitoring therapeutic response and outcome prediction
1Department of Radiology, University of California-San Francisco, San Francisco, California 94143, USA. soonmee.cha@radiology.ucsf.edu
Abstract:
Brain tumors are a heterogeneous group of neoplasm with a diverse histological, molecular, and genetic spectrum and a widely variable clinical course and prognosis. Although most brain tumors, especially the malignant variety, remain difficult to cure, there are promising novel therapies and drug delivery systems that are under active investigation. One of the greatest challenges in developing effective therapy for brain tumors is the lack of specific markers to directly and accurately assess antitumor effect early and noninvasively. Further challenge lies in the fact that early treatment response can be transient and may not necessarily translate into long-term response or a favorable clinical outcome. In addition, there may be a small window of opportunity to assess therapeutic efficacy so that ineffective toxic therapy can be switched over to more effective therapy before there is widespread damage to the normal brain. The search for reliable and accurate predictors of treatment outcome that can be used to guide therapy and to improve survival in patients in malignant brain tumor has continued over several decades with modest success. This article will provide a general overview and current status of using quantitative maps derived from physiology-based magnetic resonance imaging to assess therapy response and to predict clinical outcome early during the course of therapy.
Insights
Quantitative magnetic resonance imaging maps offer a promising, noninvasive method to assess brain tumor treatment response. This approach aims to predict outcomes early, guiding therapy and improving patient survival.
Area of Science:
- Neuro-oncology
- Radiology
- Medical Imaging
Background:
- Brain tumors exhibit significant heterogeneity, complicating treatment and prognosis.
- Effective early assessment of antitumor effects remains a major challenge in brain tumor therapy.
- Transient treatment responses can mislead efficacy evaluations, necessitating reliable predictive markers.
Purpose of the Study:
- To review the current status of quantitative magnetic resonance imaging (MRI) in assessing brain tumor therapy response.
- To explore the potential of physiology-based MRI maps for early prediction of clinical outcomes.
- To highlight the importance of noninvasive markers for guiding treatment decisions in malignant brain tumors.
Main Methods:
- Utilizing quantitative maps derived from physiology-based magnetic resonance imaging.
- Analyzing the ability of these maps to assess early therapeutic efficacy.
- Evaluating the correlation between imaging findings and long-term clinical outcomes.
Main Results:
- Physiology-based MRI quantitative maps show potential for early and noninvasive assessment of brain tumor treatment response.
- These imaging-derived metrics may serve as reliable predictors of clinical outcomes.
- The approach facilitates timely adjustments to therapy, potentially avoiding ineffective treatments and normal brain damage.
Conclusions:
- Quantitative MRI offers a valuable tool for monitoring brain tumor therapy response and predicting outcomes.
- Early assessment using these methods can guide personalized treatment strategies.
- Further research and validation are crucial for integrating these techniques into clinical practice.

