Pulmonary Fibrosis

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Fan, W., Chen, Q., Luk, L., Navot, B., Maccarrone, V., & Salvatore, M. (2024). Use of a radiology tool for the diagnosis of pulmonary fibrosis. Clinical Imaging, 115, 110277. https://doi.org/10.1016/j.clinimag.2024.110277
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McGroder, C. F., Salvatore, M. M., D’Souza, B. M., Hoffman, E. A., Baldwin, M. R., & Garcia, C. K. (2024). Improved pulmonary function and exercise tolerance despite persistent pulmonary fibrosis over 1 year after severe COVID-19 infection. Thorax, 79(5), 472–475. https://doi.org/10.1136/thorax-2023-220370
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Salvatore, M. M., Liu, Y., Peng, B., Hsu, H. Y., Saqi, A., Tsai, W.-Y., Leu, C.-S., & Jambawalikar, S. (2024). Comparison of lung cancer occurring in fibrotic versus non-fibrotic lung on chest CT. Journal of Translational Medicine, 22(1). https://doi.org/10.1186/s12967-023-04645-y
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Liu, Y., Hsu, H. Y., Lin, T., Peng, B., Saqi, A., Salvatore, M. M., & Jambawalikar, S. (2024). Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans. Journal of Translational Medicine, 22(1). https://doi.org/10.1186/s12967-023-04798-w
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Kim, J. S., Montesi, S. B., Adegunsoye, A., Humphries, S. M., Salisbury, M. L., Hariri, L. P., Kropski, J. A., Richeldi, L., Wells, A. U., Walsh, S., Jenkins, R. G., Rosas, I., Noth, I., Hunninghake, G. M., Martinez, F. J., & Podolanczuk, A. J. (2023). Approach to Clinical Trials for the Prevention of Pulmonary Fibrosis. Annals of the American Thoracic Society, 20(12), 1683–1693. https://doi.org/10.1513/annalsats.202303-188ps
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Adegunsoye, A., Newton, C. A., Oldham, J. M., Ley, B., Lee, C. T., Linderholm, A. L., Chung, J. H., Garcia, N., Zhang, D., Vij, R., Guzy, R., Jablonski, R., Bag, R., Voogt, R. S., Ma, S.-F., Sperling, A. I., Raghu, G., Martinez, F. J., Strek, M. E., … Noth, I. (2023). Telomere length associates with chronological age and mortality across racially diverse pulmonary fibrosis cohorts. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-37193-6
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Fan, W., Chen, Q., Maccarrone, V., Luk, L., Navot, B., & Salvatore, M. (2024). Developing radiology diagnostic tools for pulmonary fibrosis using machine learning methods. Clinical Imaging, 106, 110047. https://doi.org/10.1016/j.clinimag.2023.110047
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Capaccione, K. M., Fan, W., Saqi, A., Padilla, M., & Salvatore, M. M. (2023). Establishing quantitative radiographic criteria for the diagnosis of pleuroparenchymal fibroelastosis. Clinical Imaging, 103, 109982. https://doi.org/10.1016/j.clinimag.2023.109982
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Adegunsoye, A., Freiheit, E., White, E. N., Kaul, B., Newton, C. A., Oldham, J. M., Lee, C. T., Chung, J., Garcia, N., Ghodrati, S., Vij, R., Jablonski, R., Flaherty, K. R., Wolters, P. J., Garcia, C. K., & Strek, M. E. (2023). Evaluation of Pulmonary Fibrosis Outcomes by Race and Ethnicity in US Adults. JAMA Network Open, 6(3), e232427. https://doi.org/10.1001/jamanetworkopen.2023.2427
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Gersten, R. A., Seth, B., Arellano, L., Shore, J., O'Hare, L., Patel, N., Safdar, Z., Krishna, R., Mageto, Y., Cochran, D., Lindell, K., Danoff, S. K., & Pulmonary Fibrosis Foundation (2022). Provider Perspectives on and Access to Palliative Care for Patients With Interstitial Lung Disease. Chest, 162(2), 375–384. https://doi.org/10.1016/j.chest.2022.03.009

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