Tuberculosis Histopathology on X Ray CT
Cutting-edge translational research on preclinical models of lung infectious diseases, such as Tuberculosis disease uses computed tomography (CT) images for assessing infection burden and drug efficacy over treatment. Biomarkers which characterize the distribution and extent of the disease-associated tissue are commonly based on the analysis of the intensity histogram as the involved tissues present abnormal densities in the organ being diagnosed. Often the cellular composition of the tissue represented by those grey-levels is ignored. Our hypothesis is that an accurate CT segmentation of the disease-associate tissue components could be based on the histopathological analysis of the sample. Drug development studies would then benefit of the efficacy assessment by lesion compartment response. We present here a protocol that allows to segment the healthy parenchyma, foamy macrophages and neutrophil foci in excised lung samples of healthy and tuberculous animal models.
KeywordsTuberculosis Micro-CT X-ray histology HU segmentation
The research leading to these results received funding from the Innovative Medicines Initiative (www.imi.europa.eu) Joint Undertaking under grant agreement no. 115337, whose resources comprise funding from the European Union Seventh Framework Programme (FP7/2007-2013) and EFPIA companies in kind contribution. This work was partially funded by projects RTC-2015-3772-1, TEC2015-73064-EXP and TEC2016-78052-R from the Spanish Ministry of Economy, TOPUS S2013/MIT-3024 project from the regional government of Madrid and by the Department of Health, UK. This study (was supported by the Instituto de Salud Carlos III (Plan Estatal de I+D+i 2013–2016) and cofinanced by the European Social Fund (ESF) ‘‘ESF investing in your future’’. The authors would like to acknowledge Dr. Guembe from CIMA-Universidad de Navarra for preparing and staining the tissue sections and to Dr. Guerrero-Aspizua and Prof. Conti of the Department of Bioengineering, Universidad Carlos III de Madrid for the pathology evaluation.
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