IEEE Access (Jan 2021)
Molecular Imaging of Pulmonary Tuberculosis in an Ex-Vivo Mouse Model Using Spectral Photon-Counting Computed Tomography and Micro-CT
- Chiara Lowe,
- Ana Ortega-Gil,
- Mahdieh Moghiseh,
- Nigel G. Anderson,
- Arrate Munoz-Barrutia,
- Juan Jose Vaquero,
- Aamir Y. Raja,
- Aysouda Matanaghi,
- Alexander I. Chernoglazov,
- Theodorus Dapamede,
- Sikiru A Adebileje,
- Steven Alexander,
- Maya R. Amma,
- Marzieh Anjomrouz,
- Fatemeh Asghariomabad,
- Ali Atharifard,
- James Atlas,
- Kenzie Baer,
- Stephen T. Bell,
- Srinidhi Bheesette,
- Philip H. Butler,
- Pierre Carbonez,
- Claire Chambers,
- Krishna M. Chapagain,
- Jennifer A. Clark,
- Frances Colgan,
- Jonathan S. Crighton,
- Shishir Dahal,
- Jerome Damet,
- Niels J. A. De Ruiter,
- Robert M. N. Doesburg,
- Neryda Duncan,
- Nooshin Ghodsian,
- Steven P. Gieseg,
- Brian P. Goulter,
- Sam Gurney,
- Joseph L. Healy,
- Praveen Kumar Kanithi,
- Tracy Kirkbride,
- Stuart P. Lansley,
- V. B. H. Mandalika,
- Emmanuel Marfo,
- David Palmer,
- Raj K. Panta,
- Hannah M. Prebble,
- Peter Renaud,
- Yann Sayous,
- Nanette Schleich,
- Emily Searle,
- Jereena S. Sheeja,
- Lieza Vanden Broeke,
- Vivek V. S.,
- E. Peter Walker,
- Michael F. Walsh,
- Manoj Wijesooriya,
- W Ross Younger,
- Anthony P. H. Butler
Affiliations
- Chiara Lowe
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Ana Ortega-Gil
- ORCiD
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Getafe, Spain
- Mahdieh Moghiseh
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Nigel G. Anderson
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Arrate Munoz-Barrutia
- ORCiD
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Getafe, Spain
- Juan Jose Vaquero
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Getafe, Spain
- Aamir Y. Raja
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Aysouda Matanaghi
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Alexander I. Chernoglazov
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Theodorus Dapamede
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Sikiru A Adebileje
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Steven Alexander
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Maya R. Amma
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Marzieh Anjomrouz
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Fatemeh Asghariomabad
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Ali Atharifard
- MARS Bioimaging Ltd., Christchurch, New Zealand
- James Atlas
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Kenzie Baer
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Stephen T. Bell
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Srinidhi Bheesette
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Philip H. Butler
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Pierre Carbonez
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Claire Chambers
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Krishna M. Chapagain
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Jennifer A. Clark
- Ara Institute of Canterbury, Christchurch, New Zealand
- Frances Colgan
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Jonathan S. Crighton
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Shishir Dahal
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Jerome Damet
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Niels J. A. De Ruiter
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Robert M. N. Doesburg
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Neryda Duncan
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Nooshin Ghodsian
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Steven P. Gieseg
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Brian P. Goulter
- ORCiD
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Sam Gurney
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Joseph L. Healy
- ORCiD
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Praveen Kumar Kanithi
- ORCiD
- Human Interface Technology Laboratory New Zealand, University of Canterbury, Christchurch, New Zealand
- Tracy Kirkbride
- Ara Institute of Canterbury, Christchurch, New Zealand
- Stuart P. Lansley
- ORCiD
- MARS Bioimaging Ltd., Christchurch, New Zealand
- V. B. H. Mandalika
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Emmanuel Marfo
- ORCiD
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- David Palmer
- ORCiD
- Department of Wine, Food and Molecular Biosciences, Lincoln University, Lincoln, New Zealand
- Raj K. Panta
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Hannah M. Prebble
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Peter Renaud
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Yann Sayous
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Nanette Schleich
- Department of Radiation Therapy, University of Otago, Wellington, New Zealand
- Emily Searle
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Jereena S. Sheeja
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- Lieza Vanden Broeke
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Vivek V. S.
- MARS Bioimaging Ltd., Christchurch, New Zealand
- E. Peter Walker
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- Michael F. Walsh
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Manoj Wijesooriya
- Department of Physics, University of Canterbury, Christchurch, New Zealand
- W Ross Younger
- ORCiD
- MARS Bioimaging Ltd., Christchurch, New Zealand
- Anthony P. H. Butler
- Department of Radiology, University of Otago Christchurch, Christchurch, New Zealand
- DOI
- https://doi.org/10.1109/ACCESS.2021.3076432
- Journal volume & issue
-
Vol. 9
pp. 67201 – 67208
Abstract
Assessment of disease burden and drug efficacy is achieved preclinically using high resolution micro computed tomography (CT). However, micro-CT is not applicable to clinical human imaging due to operating at high dose. In addition, the technology differences between micro-CT and standard clinical CT prevent direct translation of preclinical applications. The current proof-of-concept study presents spectral photon-counting CT as a clinically translatable, molecular imaging tool by assessing contrast uptake in an ex-vivo mouse model of pulmonary tuberculosis (TB). Iodine, a common contrast used in clinical CT imaging, was introduced into a murine model of TB. The excised mouse lungs were imaged using a standard micro-CT subsystem (SuperArgus) and the contrast enhanced TB lesions quantified. The same lungs were imaged using a spectral photoncounting CT system (MARS small-bore scanner). Iodine and soft tissues (water and lipid) were materially separated, and iodine uptake quantified. The volume of the TB infection quantified by spectral CT and micro-CT was found to be 2.96 mm3 and 2.83 mm3, respectively. This proof-of-concept study showed that spectral photon-counting CT could be used as a predictive preclinical imaging tool for the purpose of facilitating drug discovery and development. Also, as this imaging modality is available for human trials, all applications are translatable to human imaging. In conclusion, spectral photon-counting CT could accelerate a deeper understanding of infectious lung diseases using targeted pharmaceuticals and intrinsic markers, and ultimately improve the efficacy of therapies by measuring drug delivery and response to treatment in animal models and later in humans.
Keywords
- High resolution
- translatable molecular imaging
- photon-counting spectral CT
- pulmonary tuberculosis
- micro-CT