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Purpose: Recently we showed that a number of carboxylated near-infrared fluorescent (NIRF) cyanine dyes possess strong necrosis avid properties in vitro as well as in different mouse models of spontaneous and therapy-induced tumor necrosis, indicating their potential use for cancer diagnostic- and prognostic purposes. In the previous study, the detection of the cyanines was achieved by whole body optical imaging, a technique that, due to the limited penetration of near-infrared light, is not suitable for investigations deeper than 1 cm within the human body. Therefore, in order to facilitate clinical translation, the purpose of the present study was to generate a necrosis avid cyanine-based NIRF probe that could also be used for single photon emission computed tomography (SPECT). For this, the necrosis avid NIRF cyanine HQ4 was radiolabeled with 111indium, via the chelate diethylene triamine pentaacetic acid (DTPA).Procedures: The necrosis avid properties of the radiotracer [111In]DTPA-HQ4 were examined in vitro and in vivo in different breast tumor models in mice using SPECT and optical imaging. Moreover, biodistribution studies were performed to examine the pharmacokinetics of the probe in vivo.Results: Using optical imaging and radioactivity measurements, in vitro, we showed selective accumulation of [111In]DTPA-HQ4 in dead cells. Using SPECT and in biodistribution studies, the necrosis avidity of the radiotracer was confirmed in a 4T1 mouse breast cancer model of spontaneous tumor necrosis and in a MCF-7 human breast cancer model of chemotherapy-induced tumor necrosis.Conclusions: The radiotracer [111In]DTPA-HQ4 possessed strong and selective necrosis avidity in vitro and in various mouse models of tumor necrosis in vivo, indicating its potential to be clinically applied for diagnostic purposes and to monitor anti-cancer treatment efficacy. [ABSTRACT FROM AUTHOR]

Purpose: Quantification of osteolysis is crucial for monitoring treatment effects in preclinical research and should be based on MicroCT data rather than conventional 2D radiographs to obtain optimal accuracy. However, data assessment is greatly complicated in the case of 3D data. This paper presents an automated method to follow osteolytic lesions quantitatively and visually over time in whole-body MicroCT data of mice. Procedures: This novel approach is based on a previously published approach to coarsely locate user-defined structures of interest in the data and present them in a standardized manner (Baiker et al., Med Image Anal 14:723-737, ; Kok et al., IEEE Trand Vis Comput Graph 16:1396-1404, ). Here, we extend this framework by presenting a highly accurate way to automatically measure the volumes of individual bones and demonstrate the technique by following the effect of osteolysis in the tibia of a mouse over time. Besides presenting quantitative results, we also give a visualization of the measured volume to be able to investigate the performance of the method qualitatively. In addition, we describe an approach to measure and visualize cortical bone thickness, which allows assessing local effects of osteolysis and bone remodeling. The presented techniques are fully automated and therefore allow obtaining objective results, which are independent of human observer performance variations. In addition, the time typically required to analyze whole-body data is greatly reduced. Results: Evaluation of the approaches was performed using MicroCT follow-up datasets of 15 mice ( n = 15), with induced bone metastases in the right tibia. All animals were scanned three times: at baseline, after 3 and 7 weeks. For each dataset, our method was used to locate the tibia and measure the bone volume. To assess the performance of the automated method, bone volume measurements were also done by two human experts. A quantitative comparison of the results of the automated method with the human observers showed that there is a high correlation between the observers ( r = 0.9996), between the first observer and the presented method ( r = 0.9939), and also between the second observer and the presented method ( r = 0.9937). In addition, Bland-Altman plots revealed excellent agreement between the observers and the automated method (interobserver bone volume variability, 0.59 ± 0.64%; Obs1 vs. Auto, 0.26 ± 2.53% and Obs2 vs. Auto, −0.33 ± 2.61%). Statistical analysis yielded no significant difference ( p = .10) between the manual and the automated bone measurements and thus the method yields optimum results. This could also be confirmed visually, based on the graphical representations of the bone volumes. The performance of the bone thickness measurements was assessed qualitatively. Conclusions: We come to the conclusion that the presented method allows to measure and visualize local bone volume and thickness in longitudinal data in an accurate and robust manner, proving that the automated tool is a fast and user friendly alternative to manual analysis. [ABSTRACT FROM AUTHOR]

In cancer surgery, intra-operative assessment of the tumor-free margin, which is critical for the prognosis of the patient, relies on the visual appearance and palpation of the tumor. Optical imaging techniques provide real-time visualization of the tumor, warranting intra-operative image-guided surgery. Within this field, imaging in the near-infrared light spectrum offers two essential advantages: increased tissue penetration of light and an increased signal-to-background-ratio of contrast agents. In this article, we review the various techniques, contrast agents, and camera systems that are currently used for image-guided surgery. Furthermore, we provide an overview of the wide range of molecular contrast agents targeting specific hallmarks of cancer and we describe perspectives on its future use in cancer surgery. [ABSTRACT FROM AUTHOR]