# Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy Response

> **NIH NIH U01** · UT SOUTHWESTERN MEDICAL CENTER · 2020 · $694,766

## Abstract

Project Summary
 Recent advances in the understanding of cancer biology have led to an increased number of cancer
therapies. The evaluation of these new therapies in human clinical trials is associated with high cost and
potential risks. Imaging approaches can play an important role in this evaluation by identifying patients who
respond to treatments. The current radiological assessment of treatment outcomes predominantly relies on
changes in tumor size. This is a major limiting factor as the effects of many therapeutic agents at the
microscopic level precede changes in tumor size. One such tumor property that has been extensively targeted
for new cancer therapies is tumor angiogenesis (or perfusion), which has been shown to support tumor
proliferation and infiltration. We have recently developed a quantitative magnetic resonance imaging (MRI)
technique, called Arterial Spin Labeling (ASL) that can measure tumor perfusion non-invasively and without the
administration of exogenous contrast agent. ASL MRI uses highly permeable water as a tracer, by magnetically
labeling the water proton in the arterial blood and measuring their accumulation in the tissue of interest. We
have used ASL to monitor therapy response in multiple clinical trials and have shown that ASL measured
tumor perfusion decreased as early as 8 days after the initiation of antiangiogenic therapy in patients with renal
cell carcinoma (RCC), much earlier than the tumor size changes. However, ASL has not undergone a robust
and rigorous validation process to be established as a quantitative imaging method. In this project, we will
validate ASL measured perfusion as a quantitative imaging marker to evaluate treatment response in patients
with brain tumors (glioblastoma multiforme, GBM) and metastatic RCC, two known highly vascularized tumors.
The specific aims of the project are: 1) To demonstrate the reliability and precision of ASL measured perfusion
in the brain and kidneys of 30 normal volunteers; 2) To predict clinical outcomes based on baseline (pre-
treatment) perfusion and early changes in post-treatment perfusion in 40 patients with newly diagnosed GBM
undergoing chemoradiation therapy; and 3) To predict long-term outcomes based on baseline (pre-treatment)
perfusion and early changes in post-treatment perfusion in 40 patients with metastatic RCC undergoing
antiangiogenic therapies. In the first aim, we will also develop quality-control protocols using a novel 3D printed
perfusion phantom, currently available at UT Southwestern (UTSW) Medical Center to measure the reliability
and precision of ASL measured flow. In the second and third aims, we will incorporate automated and semi-
automated methods for tumor segmentation and analysis, such that these results can be replicated elsewhere.
The patients for aims 2 and 3 will be recruited from ongoing clinical trials at UTSW. In both these aims, we will
test our hypothesis that greater reduction in tumor perfusion immediately after tre...

## Key facts

- **NIH application ID:** 10009288
- **Project number:** 5U01CA207091-04
- **Recipient organization:** UT SOUTHWESTERN MEDICAL CENTER
- **Principal Investigator:** Ananth J Madhuranthakam
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $694,766
- **Award type:** 5
- **Project period:** 2017-09-01 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10009288

## Citation

> US National Institutes of Health, RePORTER application 10009288, Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy Response (5U01CA207091-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10009288. Licensed CC0.

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