Multiple-animal MR imaging using a 3T clinical scanner and multi-channel coil for volumetric analysis in a mouse

Minoru Mitsuda1, Masayuki Yamaguchi, Toshihiro Furuta

  • 1Functional Imaging Division, Research Center for Innovative Oncology, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.

Abstract

Insights

High-throughput preclinical cancer research is advanced by simultaneous small-animal MRI. This method accurately measures experimental tumor volumes in mice, aiding novel therapy assessment.

Area of Science:

  • Preclinical cancer research
  • Medical imaging
  • Tumorigenesis

Background:

  • Assessing tumor response to novel therapies in preclinical research requires high throughput.
  • Small-animal magnetic resonance (MR) imaging is a potential method to increase throughput for tumor volume measurement.

Purpose of the Study:

  • To evaluate the usefulness of simultaneous small-animal MR imaging using a clinical scanner and a multi-channel coil for assessing experimental tumor volume in mice.
  • To determine if this method can increase throughput in preclinical cancer research.

Main Methods:

  • A phantom study was conducted to assess 2D geometric distortion using spherical and multi-cell phantoms on a 3-tesla clinical MR scanner with a 16-coil multi-channel coil.
  • Simultaneous MR imaging of 6-8 mice bearing sarcoma 180 tumors was performed.
  • Tumor volumes were estimated from 2D spin-echo images and compared to reference volumes derived from excised tumor weights.

Main Results:

  • Two-dimensional geometric distortion was found to be acceptable (<5%) in phantom studies.
  • Simultaneous scanning of up to 8 mice was achieved.
  • MR imaging-estimated tumor volumes showed a high correlation (r=0.995, P<0.01) with reference volumes, with an average volume of 1.04 cm³ for both methods.

Conclusions:

  • Simultaneous small-animal MR imaging using a clinical scanner and multi-channel coil enables accurate assessment of experimental tumor volume in mice.
  • This approach facilitates high-throughput monitoring of tumor response to therapy in preclinical research.

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