Heat Modulation of Intrinsic MR Contrasts for Tumor Characterization.

Matthew Tarasek,Oguz Akin,Thomas Foo,Jeannette Roberts,Desmond Yeo

doi:10.3390/cancers14020405

Abstract

Simple SummaryMulti-parametric magnetic resonance imaging (MRI) is a paradigm that combines several MR imaging contrast types to provide added layers of information for the characterization of tissue types, including benign and malignant tumors. The approach detailed in this manuscript evaluates heat-induced changes in intrinsic MRI contrast types in vivo for tumor characterization. Specifically, the quantitative longitudinal relaxation time (T1), transverse relaxation time (T2), water proton chemical shift (CS), and apparent diffusion coefficient (ADC) were measured at various temperatures for benign and malignant tumors in rats. Results indicate that heat-induced changes in these intrinsic contrast types can potentially improve MR imaging visualization and characterization of tumor tissue. The approach detailed here may have a strong impact on real-time interventional procedures where tumor boundaries need to be accurately delineated to maximize positive therapeutic response for MRI-guided focal therapy.(1) Background: The longitudinal relaxation time (T1), transverse relaxation time (T2), water proton chemical shift (CS), and apparent diffusion coefficient (ADC) are MR quantities that change with temperature. In this work, we investigate heat-induced intrinsic MR contrast types to add salient information to conventional MR imaging to improve tumor characterization. (2) Methods: Imaging tests were performed in vivo using different rat tumor models. The rats were cooled/heated to steady-state temperatures from 26–36 °C and quantitative measurements of T1, T2, and ADC were obtained. Temperature maps were measured using the proton resonance frequency shift (PRFS) method during the heating and cooling cycles. (3) Results: All tissue samples show repeatable relaxation parameter measurement over a range of 26–36 °C. Most notably, we observed a more than 3.3% change in T1/°C in breast adenocarcinoma tumors compared to a 1% change in benign breast fibroadenoma lesions. In addition, we note distinct values of T2/°C change for rat prostate carcinoma cells compared to benign tissue. (4) Conclusion: These findings suggest the possibility of improving MR imaging visualization and characterization of tissue with heat-induced contrast types. Specifically, these results suggest that the temporal thermal responses of heat-sensitive MR imaging contrast mechanisms in different tissue types contain information for improved (i) characterization of tumor/tissue boundaries for diagnostic and therapy purposes, and (ii) characterization of salient behavior of tissues, e.g., malignant versus benign tumors.

Highlights

Introduction distributed under the terms andThe clinical applications of magnetic resonance (MR) imaging in oncology are rapidly evolving from subjective and interpretive diagnostic tests based on tissue morphology to more quantitative approaches that probe tissue biology
We present preclinical in vivo animal data that quantify how T1, T2, proton resonance frequency shift (PRFS), and apparent diffusion coefficient (ADC) change with temperature in breast carcinoma, breast fibroadenoma, and prostate carcinoma
MR thermometry and temperature probe data were used to ensure that steady-state

Summary

Introduction

Introduction distributed under the terms andThe clinical applications of magnetic resonance (MR) imaging in oncology are rapidly evolving from subjective and interpretive diagnostic tests based on tissue morphology to more quantitative approaches that probe tissue biology. The best possible characterization of cancer in MR imaging is currently achieved by a multi-parametric approach that conditions of the Creative Commons. Supplements conventional MRI with additional functional MRI techniques [1,2,3,4]. These techniques provide added layers of information on features such as tumor metabolism, cellular microenvironment, and tumor vascularity [2,4,5,6,7]. MR imaging provides the best spatial resolution and anatomical soft tissue contrast, but there is still a need to develop novel. MR imaging approaches to improve tissue characterization, reduce unwanted biopsies, and provide additional information to guide cancer therapy treatments. The lack of multiparametric MR datasets is a major clinical impediment in cancer screening and therapy planning, even in the most common cancer types

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