Boosting the SNR by adding a receive‐only endorectal monopole to an external antenna array for high‐resolution,T2‐weighted imaging of early‐stage cervical cancer with 7‐T MRI

The aim of this study was to investigate the signal‐to‐noise ratio (SNR) gain in early‐stage cervical cancer at ultrahigh‐field MRI (e.g. 7 T) using a combination of multiple external antennas and a single endorectal antenna. In particular, we used an endorectal monopole antenna to increase the SNR in cervical magnetic resonance imaging (MRI). This should allow high‐resolution, T₂‐weighted imaging and magnetic resonance spectroscopy (MRS) for metabolic staging, which could facilitate the local tumor status assessment. In a prospective feasibility study, five healthy female volunteers and six patients with histologically proven stage IB1–IIB cervical cancer were scanned at 7 T. We used seven external fractionated dipole antennas for transmit–receive (transceive) and an endorectally placed monopole antenna for reception only. A region of interest, containing both normal cervix and tumor tissue, was selected for the SNR measurement. Separated signal and noise measurements were obtained in the region of the cervix for each element and in the near field of the monopole antenna (radius < 30 mm) to calculate the SNR gain of the endorectal antenna in each patient. We obtained high‐resolution, T₂‐weighted images with a voxel size of 0.7 × 0.8 × 3.0 mm³. In four cases with optimal placement of the endorectal antenna (verified on the T₂‐weighted images), a mean gain of 2.2 in SNR was obtained at the overall cervix and tumor tissue area. Within a radius of 30 mm from the monopole antenna, a mean SNR gain of 3.7 was achieved in the four optimal cases. Overlap between the two different regions of the SNR calculations was around 24%. We have demonstrated that the use of an endorectal monopole antenna substantially increases the SNR of 7‐T MRI at the cervical anatomy. Combined with the intrinsically high SNR of ultrahigh‐field MRI, this gain may be employed to obtain metabolic information using MRS and to enhance spatial resolutions to assess tumor invasion.