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In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice

BACKGROUND AND PURPOSE: Radiotherapy of thoracic tumours can lead to side effects in the lung, which may benefit from early diagnosis. We investigated the potential of X-ray dark-field computed tomography by a proof-of-principle murine study in a clinically relevant radiotherapeutic setting aiming a...

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Autores principales: Burkhardt, Rico, Gora, Thomas, Fingerle, Alexander A., Sauter, Andreas P., Meurer, Felix, Gassert, Florian T., Dobiasch, Sophie, Schilling, Daniela, Feuchtinger, Annette, Walch, Axel K., Multhoff, Gabriele, Herzen, Julia, Noël, Peter B., Rummeny, Ernst J., Combs, Stephanie E., Schmid, Thomas E., Pfeiffer, Franz, Wilkens, Jan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476771/
https://www.ncbi.nlm.nih.gov/pubmed/34611553
http://dx.doi.org/10.1016/j.phro.2021.09.003
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author Burkhardt, Rico
Gora, Thomas
Fingerle, Alexander A.
Sauter, Andreas P.
Meurer, Felix
Gassert, Florian T.
Dobiasch, Sophie
Schilling, Daniela
Feuchtinger, Annette
Walch, Axel K.
Multhoff, Gabriele
Herzen, Julia
Noël, Peter B.
Rummeny, Ernst J.
Combs, Stephanie E.
Schmid, Thomas E.
Pfeiffer, Franz
Wilkens, Jan J.
author_facet Burkhardt, Rico
Gora, Thomas
Fingerle, Alexander A.
Sauter, Andreas P.
Meurer, Felix
Gassert, Florian T.
Dobiasch, Sophie
Schilling, Daniela
Feuchtinger, Annette
Walch, Axel K.
Multhoff, Gabriele
Herzen, Julia
Noël, Peter B.
Rummeny, Ernst J.
Combs, Stephanie E.
Schmid, Thomas E.
Pfeiffer, Franz
Wilkens, Jan J.
author_sort Burkhardt, Rico
collection PubMed
description BACKGROUND AND PURPOSE: Radiotherapy of thoracic tumours can lead to side effects in the lung, which may benefit from early diagnosis. We investigated the potential of X-ray dark-field computed tomography by a proof-of-principle murine study in a clinically relevant radiotherapeutic setting aiming at the detection of radiation-induced lung damage. MATERIAL AND METHODS: Six mice were irradiated with 20 Gy to the entire right lung. Together with five unirradiated control mice, they were imaged using computed tomography with absorption and dark-field contrast before and 16 weeks post irradiation. Mean pixel values for the right and left lung were calculated for both contrasts, and the right-to-left-ratio R of these means was compared. Radiologists also assessed the tomograms acquired 16 weeks post irradiation. Sensitivity, specificity, inter- and intra-reader accuracy were evaluated. RESULTS: In absorption contrast the group-average of R showed no increase in the control group and increased by 7% (p = 0.005) in the irradiated group. In dark-field contrast, it increased by 2% in the control group and by 14% (p = 0.005) in the irradiated group. Specificity was 100% for both contrasts but sensitivity was almost four times higher using dark-field tomography. Two cases were missed by absorption tomography but were detected by dark-field tomography. CONCLUSIONS: The applicability of X-ray dark-field computed tomography for the detection of radiation-induced lung damage was demonstrated in a pre-clinical mouse model. The presented results illustrate the differences between dark-field and absorption contrast and show that dark-field tomography could be advantageous in future clinical settings.
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spelling pubmed-84767712021-10-04 In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice Burkhardt, Rico Gora, Thomas Fingerle, Alexander A. Sauter, Andreas P. Meurer, Felix Gassert, Florian T. Dobiasch, Sophie Schilling, Daniela Feuchtinger, Annette Walch, Axel K. Multhoff, Gabriele Herzen, Julia Noël, Peter B. Rummeny, Ernst J. Combs, Stephanie E. Schmid, Thomas E. Pfeiffer, Franz Wilkens, Jan J. Phys Imaging Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Radiotherapy of thoracic tumours can lead to side effects in the lung, which may benefit from early diagnosis. We investigated the potential of X-ray dark-field computed tomography by a proof-of-principle murine study in a clinically relevant radiotherapeutic setting aiming at the detection of radiation-induced lung damage. MATERIAL AND METHODS: Six mice were irradiated with 20 Gy to the entire right lung. Together with five unirradiated control mice, they were imaged using computed tomography with absorption and dark-field contrast before and 16 weeks post irradiation. Mean pixel values for the right and left lung were calculated for both contrasts, and the right-to-left-ratio R of these means was compared. Radiologists also assessed the tomograms acquired 16 weeks post irradiation. Sensitivity, specificity, inter- and intra-reader accuracy were evaluated. RESULTS: In absorption contrast the group-average of R showed no increase in the control group and increased by 7% (p = 0.005) in the irradiated group. In dark-field contrast, it increased by 2% in the control group and by 14% (p = 0.005) in the irradiated group. Specificity was 100% for both contrasts but sensitivity was almost four times higher using dark-field tomography. Two cases were missed by absorption tomography but were detected by dark-field tomography. CONCLUSIONS: The applicability of X-ray dark-field computed tomography for the detection of radiation-induced lung damage was demonstrated in a pre-clinical mouse model. The presented results illustrate the differences between dark-field and absorption contrast and show that dark-field tomography could be advantageous in future clinical settings. Elsevier 2021-09-24 /pmc/articles/PMC8476771/ /pubmed/34611553 http://dx.doi.org/10.1016/j.phro.2021.09.003 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Burkhardt, Rico
Gora, Thomas
Fingerle, Alexander A.
Sauter, Andreas P.
Meurer, Felix
Gassert, Florian T.
Dobiasch, Sophie
Schilling, Daniela
Feuchtinger, Annette
Walch, Axel K.
Multhoff, Gabriele
Herzen, Julia
Noël, Peter B.
Rummeny, Ernst J.
Combs, Stephanie E.
Schmid, Thomas E.
Pfeiffer, Franz
Wilkens, Jan J.
In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
title In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
title_full In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
title_fullStr In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
title_full_unstemmed In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
title_short In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
title_sort in-vivo x-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476771/
https://www.ncbi.nlm.nih.gov/pubmed/34611553
http://dx.doi.org/10.1016/j.phro.2021.09.003
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