Elsevier

Radiotherapy and Oncology

Volume 57, Issue 1, 1 October 2000, Pages 53-59
Radiotherapy and Oncology

Tumour oxygenation levels correlate with dynamic contrast-enhanced magnetic resonance imaging parameters in carcinoma of the cervix

https://doi.org/10.1016/S0167-8140(00)00259-0Get rights and content

Abstract

Background and purpose: The Eppendorf pO2 histograph is the ‘gold standard’ method for measuring tumour oxygenation. The method is not suitable for widespread application because its use is limited to accessible tumours. A non-invasive imaging technique would be an attractive alternative. Therefore, the relationships between tumour oxygenation and dynamic contrast-enhanced magnetic resonance imaging (MRI) parameters were investigated.

Materials and methods: The study comprised 30 patients with carcinoma of the cervix. Tumour oxygenation was measured pre-treatment as median pO2 and the proportion of values less than 5 mmHg (HP5) using a pO2 histograph. Repeat measurements were obtained for nine patients following 40–45 Gy external beam radiotherapy giving a total of 39 measurements. Dynamic contrast-enhanced MRI using gadolinium was performed prior to obtaining the oxygenation data. Time/signal intensity curves were generated to obtain two standard parameters: maximum enhancement over baseline (SI−I) and the rate of enhancement (SI−I/s).

Results: Using the 39 measurements, there was a significant correlation between SI−I and both median pO2 (r=0.59; P<0.001) and HP5 (r=−0.49; P=0.002). There was a weak, borderline significant correlation between SI−I/s and both median pO2 (r=0.29; P=0.071) and HP5 (r=−0.34; P=0.037). There was a significant relationship between tumour size and SI−I (r=0.54; P<0.001), but not SI−I/s. In 29 tumours, where data were available, there was no relationship between histological assessment of tumour angiogenesis (intra-tumour microvessel density; IMD) and either MRI parameter.

Conclusions: Tumour oxygenation levels measured using a pO2 histograph correlate with dynamic contrast-enhanced MRI parameters. Therefore, non-invasive dynamic MRI may be a method for measuring hypoxia in human tumours.

Introduction

Increasing evidence suggests that tumour hypoxia is important in determining cancer treatment outcome [7], [15], [23]. Currently, the Eppendorf pO2 histograph system is regarded as the ‘gold standard’ for measuring tumour oxygenation [26]. However, the method has limitations that make widespread application in many tumour sites difficult. In particular, the technique is not widely available, is limited to accessible tumours and invasive. It is recognized that there is a need to develop reliable methods to determine tumour oxygenation with a wider clinical application, thus enabling the selection of patients who might benefit most from hypoxia-modifying treatments. A non-invasive method is attractive for measuring tumour oxygenation and there are a number of possibilities based on cross-sectional imaging. These include contrast-enhanced dynamic computed tomography (CT) [14], blood oxygen level dependent imaging with magnetic resonance (MR) [24] and dynamic contrast-enhanced magnetic resonance imaging (MRI) [11]. Using a MRI-based method is particularly attractive in carcinoma of the cervix where it is regarded as the imaging technique of choice to delineate the extent and volume of the primary tumour [13], [20].

Recently, there has been increased interest in using dynamic contrast-enhanced MRI to assess tumour microcirculation [2], [6], [10]. The technique is based on the temporal and spatial change in signal intensity following the rapid injection of a paramagnetic contrast medium (such as gadolinium–diethylentriaminepenta-acetatic acid; Gd-DTPA). The enhancement seen following injection is related to several factors, including tumour perfusion and vascular density [1], [2], [6], [12]. As tumour oxygenation is dependent on the microcirculation [27], the technique may be useful to define patients with poor blood flow, and therefore, hypoxic tumours [20]. In support of this, a relationship between hypoxia and perfusion has been demonstrated in both animal and human tumours [8], [9].

The purpose of the work reported here, therefore, was to perform dynamic contrast-enhanced MRI in a series of patients with locally advanced carcinoma of the cervix pre- and post-external beam radiotherapy, and compare the findings with the level of tumour oxygenation measured using polarographic needle electrodes. As a relationship has been reported between MRI parameters and histologically assessed angiogenesis [10], [11], the level of tumour angiogenesis was measured also.

Section snippets

Patients

Between May 1996 and November 1999, 30 patients with locally advanced carcinoma of the cervix underwent both pre-treatment oxygenation measurement using the Eppendorf pO2 histograph system and dynamic contrast-enhanced MRI. In nine patients, repeat oxygenation measurements and imaging were performed following 40–45 Gy of external beam radiotherapy given in 20 fractions over 28 days. In all cases, MRI data were obtained prior to oxygen electrode measurements. Imaging was performed at a maximum

Results

Fig. 1 illustrates time–intensity curves for two tumours. Two curves were obtained for every tumour (representing the two ROI studied), and these illustrate the level of intra- compared with inter-tumour heterogeneity. Two standard MRI parameters were measured based on time–intensity curves to quantify the degree of tumour enhancement. Reproducibility MRI measurements were examined using a phantom made from a dilution series of contrast agent. Over a typical range of T1 values, the standard

Discussion

Our values for SI−I and SI−I/s are in accordance with those reported in the literature[11], [19]. Generally, two methods have been proposed to analyze the signal intensity curves generated by dynamic contrast-enhanced MRI, a standard method [2], [5] and a pharmacokinetic method [1]. In the standard analysis, the slope of the time–intensity curve (SI−I/s) and the increase in signal intensity over baseline (SI−I) can be calculated directly from the curves. The pharmacokinetic method is based on a

Acknowledgements

This work was supported by the Cancer Research Campaign and a European Commission Concerted Action (BMH4-98-3006).

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