Molecular Imaging of Pulmonary Tuberculosis in an Ex-Vivo Mouse Model Using Spectral Photon-Counting Computed Tomography and Micro-CT

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.

Arrate Muñoz-Barrutia | Srinidhi Bheesette | Shishir Dahal | Claire Chambers | Pierre Carbonez | Nanette Schleich | Nigel G. Anderson | Tracy Kirkbride | Stuart P. Lansley | Praveen Kumar Kanithi | Ana Ortega-Gil | Mahdieh Moghiseh | Sikiru A Adebileje | Steven D Alexander | Maya R Amma | Marzieh Anjomrouz | Fatemeh Asghariomabad | Ali Atharifard | Kenzie Baer | Neryda Duncan | Sam Gurney | Chiara Lowe | Aysouda Matanaghi | Peter Renaud | Emily Searle | Jereena S Sheeja | Lieza Vanden Broeke | Manoj Wijesooriya | Alexander I. Chernoglazov | Michael F. Walsh | Aamir Y. Raja | Jérôme Damet | James Atlas | Stephen T. Bell | Jennifer A Clark | Frances Colgan | Nooshin Ghodsian | Steven P. Gieseg | Emmanuel Marfo | Yann Sayous | W Ross Younger | Juan José Vaquero | Theodorus Dapamede | Steven Alexander | Maya R. Amma | Philip H. Butler | Krishna M. Chapagain | Jennifer A. Clark | Jonathan S. Crighton | Niels J. A. De Ruiter | Robert M. N. Doesburg | Brian P. Goulter | Joseph L. Healy | V. B. H. Mandalika | David Palmer | Raj K. Panta | Hannah M. Prebble | Jereena S. Sheeja | Vivek V. S. | E. Peter Walker | Anthony P. H. Butler | A. Butler | M. Walsh | S. Bell | R. Doesburg | A. Chernoglazov | R. Panta | P. Butler | N. Anderson | J. Healy | P. Renaud | S. Gieseg | V. Mandalika | A. Atharifard | N. Schleich | J. Vaquero | J. Atlas | S. Bheesette | A. Muñoz-Barrutia | C. Chambers | J. Damet | E. Marfo | P. Carbonez | N. Ghodsian | A. Ortega-Gil | M. Anjomrouz | Frances Colgan | S. Lansley | L. V. Broeke | J. Crighton | M. Moghiseh | Chiara Lowe | A. Raja | Fatemeh Asghariomabad | N. D. De Ruiter | K. Baer | Shishir Dahal | Neryda Duncan | Sam Gurney | T. Kirkbride | Aysouda Matanaghi | David Palmer | H. Prebble | Emily Searle | E. Walker | M. Wijesooriya | Theodorus Dapamede | B. P. Goulter | P. Kanithi | Y. Sayous | V. V. S. | W. R. Younger

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