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Quantification of tumor tissue populations by multispectral analysis
Richard A D Carano1, Adrienne L Ross, Jed Ross
1Department of Physiology, Genentech, Inc., South San Francisco, California 94080, USA. rcarano@gene.com
Magnetic Resonance in Medicine
|March 9, 2004
Summary
This study introduces a novel MRI method combining diffusion imaging and multispectral analysis to quantify tumor tissues. The approach accurately estimates viable tumor volume and detects early therapeutic responses in vivo.
Area of Science:
- Biomedical Imaging
- Oncology
- Radiology
Background:
- Tumor heterogeneity poses challenges for assessing therapeutic response using MRI.
- Accurate quantification of tumor tissue populations is crucial for treatment evaluation.
Purpose of the Study:
- To develop and validate a novel approach combining MR diffusion imaging and multispectral (MS) analysis for quantifying tumor tissue populations.
- To assess the temporal evolution of these tissue classes in response to therapeutic interventions.
Main Methods:
- K-means (KM) clustering of apparent diffusion coefficient (ADC), T2, and proton density (M0) parameters.
- Application in a human colorectal tumor xenograft mouse model.
- Observation of tissue class changes following Apo2L/TRAIL and CPT-11 treatment.
Main Results:
- The MS method accurately differentiated viable tumor, necrosis, and adipose tissue.
- MS viable tumor volume estimates showed high correlation with histological data (r = 0.81).
- A significant reduction in viable tumor volume was observed in treated mice compared to controls, indicating an early therapeutic response.
Conclusions:
- The combined MR diffusion and MS analysis method effectively quantifies tumor tissue populations.
- This technique shows promise for early in vivo detection of therapeutic response in tumors.
- The complementary roles of ADC, T2, and M0 parameters are vital for accurate tissue characterization.