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In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice
- Source :
- Physics and Imaging in Radiation Oncology, Vol 20, Iss , Pp 11-16 (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 24056316
- Volume :
- 20
- Issue :
- 11-16
- Database :
- Directory of Open Access Journals
- Journal :
- Physics and Imaging in Radiation Oncology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4e136775c6a440cb16e1a91eb7e3ace
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.phro.2021.09.003