The impact of respiratory gating on improving volume measurement of murine lung tumors in micro-CT imaging.

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2020-01

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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.

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Animals, Mice, Inbred C57BL, Mice, Transgenic, Mice, Lung Neoplasms, Disease Models, Animal, Lung Volume Measurements, Sensitivity and Specificity, Phantoms, Imaging, X-Ray Microtomography, Respiratory-Gated Imaging Techniques, Data Accuracy

Citation

Published Version (Please cite this version)

10.1371/journal.pone.0225019

Publication Info

Blocker, SJ, MD Holbrook, YM Mowery, DC Sullivan and CT Badea (2020). The impact of respiratory gating on improving volume measurement of murine lung tumors in micro-CT imaging. PloS one, 15(2). p. e0225019. 10.1371/journal.pone.0225019 Retrieved from https://hdl.handle.net/10161/22515.

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Scholars@Duke

Blocker

Stephanie Blocker

Assistant Professor in Radiology

I am a cancer biologist whose research laboratory focuses on solid tumor imaging.  We utilize multi-modal, multi-scale imaging, combined with nuanced statistical and machine learning approaches, to measure important features of cancer.  My goal os to develop and translate imaging approaches which improve clinical diagnostics and personalize care for cancer patients.

Mowery

Yvonne Marie Mowery

Adjunct Assistant Professor in the Department of Radiation Oncology
Sullivan

Daniel Carl Sullivan

Professor Emeritus of Radiology

Research interests are in oncologic imaging, especially the clinical evaluation and validation of imaging biomarkers for therapeutic response assessment.

Badea

Cristian Tudorel Badea

Professor in Radiology
  • Our QIAL lab advances quantitative imaging by designing novel CT systems, reconstruction algorithms, image analysis and applications, with a core strength in preclinical CT.
  • Current efforts center on spectral CT (dual-energy and photon-counting) with nanoparticle contrast agents for theranostics, multidimensional CT for challenging applications such as intracranial aneurysm, cardiac, and perfusion imaging, and modern reconstruction and image processing ( including deep learning).
  • In parallel, we lead co-clinical cancer imaging work; I served as PI of the U24 Duke Preclinical Research Resources for Quantitative Imaging Biomarkers within the NCI Co-Clinical Imaging Research Program (CIRP).
  • We are also building a virtual preclinical photon-counting CT platform for cancer studies to accelerate method development and translation.



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