Anant Krishnan

Detection of Cell Death in Tumors by Using MR Imaging and a Gadolinium-based Targeted Contrast Agent

PURPOSE To prospectively determine in an animal model whether an ionic gadolinium (Gd(3+)) chelate conjugate of the C2A domain of synaptotagmin I can be used with magnetic resonance (MR) imaging to detect tumor cell death noninvasively in vivo. MATERIALS AND METHODS Animal experiments were approved by a local ethics review committee. Gd(3+) chelates and fluorescent probes were attached to the lysine epsilon-amino groups of a glutathione-S-transferase-C2A fusion protein. Binding to phosphatidylserine (PS) was characterized by using surface plasmon resonance, and binding to dying cells in vitro was characterized by using flow cytometry and MR imaging. Binding to dying tumor cells in vivo was detected with T1 mapping and T1-weighted MR imaging and compared in drug-treated animals (n = 10); in animals injected with a site-directed mutant, which was inactive in PS binding (PS inactive) and which showed lesser binding to dying cells (n = 6); and in untreated animals injected with PS-active (n = 6) and PS-inactive (n = 6) contrast agents. Among groups, differences that were significant were analyzed by using analysis of variance and Dunnett post hoc analysis. RESULTS The contrast agent had a relatively high affinity for PS (dissociation constant = 333 nmol/L +/- 85 [mean +/- standard error of the mean]; n = 3) and bound to apoptotic and necrotic, but not viable, cells in vitro. There was a greater tumor accumulation of the PS-active contrast agent compared with the PS-inactive contrast agent in drug-treated animals (P < .05) and compared with untreated animals injected with the PS-active and PS-inactive contrast agents (P < .01 for both). CONCLUSION A relatively small (approximately 100 kDa) Gd(3+)-based contrast agent, which gives positive contrast on MR images, can be used to detect tumor cell death in vivo, and future derivatives of it may be used to assess early tumor responses to treatment.

Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment.

The acquisition of ever increasing volumes of high resolution magnetic resonance imaging (MRI) data has created an urgent need to develop automated and objective image analysis algorithms that can assist in determining tumor margins, diagnosing tumor stage, and detecting treatment response.

Characterization of image heterogeneity using 2D Minkowski functionals increases the sensitivity of detection of a targeted MRI contrast agent

A targeted Gd3+‐based contrast agent has been developed that detects tumor cell death by binding to the phosphatidylserine (PS) exposed on the plasma membrane of dying cells. Although this agent has been used to detect tumor cell death in vivo, the differences in signal intensity between treated and untreated tumors was relatively small. As cell death is often spatially heterogeneous within tumors, we investigated whether an image analysis technique that parameterizes heterogeneity could be used to increase the sensitivity of detection of this targeted contrast agent. Two‐dimensional (2D) Minkowski functionals (MFs) provided an automated and reliable method for parameterization of image heterogeneity, which does not require prior assumptions about the number of regions or features in the image, and were shown to increase the sensitivity of detection of the contrast agent as compared to simple signal intensity analysis. Magn Reson Med, 2009.