Abstract
Small animal imaging has become essential in evaluating new cancer therapies as they are translated from the preclinical to clinical domain. However, preclinical imaging faces unique challenges that emphasize the gap between mouse and man. One example is the difference in breathing patterns and breath-holding ability, which can dramatically affect tumor burden assessment in lung tissue. As part of a co-clinical trial studying immunotherapy and radiotherapy in sarcomas, we are using micro-CT of the lungs to detect and measure metastases as a metric of disease progression. To effectively utilize metastatic disease detection as a metric of progression, we have addressed the impact of respiratory gating during micro-CT acquisition on improving lung tumor detection and volume quantitation. Accuracy and precision of lung tumor measurements with and without respiratory gating were studied by performing experiments with in vivo images, simulations, and a pocket phantom. When performing test-retest studies in vivo, the variance in volume calculations was 5.9% in gated images and 15.8% in non-gated images, compared to 2.9% in post-mortem images. Sensitivity of detection was examined in images with simulated tumors, demonstrating that reliable sensitivity (true positive rate (TPR) ≥ 90%) was achievable down to 1.0 mm3 lesions with respiratory gating, but was limited to ≥ 8.0 mm3 in non-gated images. Finally, a clinically-inspired “pocket phantom” was used during in vivo mouse scanning to aid in refining and assessing the gating protocols. Application of respiratory gating techniques reduced variance of repeated volume measurements and significantly improved the accuracy of tumor volume quantitation in vivo.
Highlights
Preclinical imaging has become an important tool for translating imaging techniques for the detection and monitoring of cancer
We have examined the effect of respiratory gating on lung tumor detection and volumetric measurement using simulated nodules inserted into temporally-resolved micro-computed tomography (CT) datasets
We show that with our scanner, the cone beam artifacts are acceptable when using Feldkamp algorithm with a circular scanning trajectory (Fig 4E)
Summary
Preclinical imaging has become an important tool for translating imaging techniques for the detection and monitoring of cancer. A growing application of small animal imaging is its utilization in supplementing a co-clinical trial [1, 2]. There are critical challenges in the design and interpretation of translational animal studies that must be overcome to collect data which are meaningful in the context of clinical cancer research [3]. These include, but are not limited to, subject size, imaging hardware, motion, etc.
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have