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For: Weatherley ND, Eaden JA, Stewart NJ, Bartholmai BJ, Swift AJ, Bianchi SM, Wild JM. Experimental and quantitative imaging techniques in interstitial lung disease. Thorax 2019;74:611-9. [PMID: 30886067 DOI: 10.1136/thoraxjnl-2018-211779] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 7.3] [Reference Citation Analysis]
Number Citing Articles
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6 Ruano CA, Grafino M, Borba A, Pinheiro S, Fernandes O, Silva SC, Bilhim T, Moraes-Fontes MF, Irion KL. Multimodality imaging in connective tissue disease-related interstitial lung disease. Clin Radiol 2021;76:88-98. [PMID: 32868089 DOI: 10.1016/j.crad.2020.07.035] [Reference Citation Analysis]
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8 Wijsman PC, van Smoorenburg LH, de Bruin DM, Annema JT, Kerstjens HA, Mets OM, van den Berge M, Bonta PI, Burgess JK. Imaging the pulmonary extracellular matrix. Current Opinion in Physiology 2021;22:100444. [DOI: 10.1016/j.cophys.2021.05.007] [Reference Citation Analysis]
9 Benlala I, Albat A, Blanchard E, Macey J, Raherison C, Benkert T, Berger P, Laurent F, Dournes G. Quantification of MRI T2 Interstitial Lung Disease Signal-Intensity Volume in Idiopathic Pulmonary Fibrosis: A Pilot Study. J Magn Reson Imaging 2021;53:1500-7. [PMID: 33241628 DOI: 10.1002/jmri.27454] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Huang SF, Huang CC, Chou KT, Chan YJ, Yang YY, Wang FD. Chronic Pulmonary Aspergillosis: Disease Severity Using Image Analysis and Correlation with Systemic Proinflammation and Predictors of Clinical Outcome. J Fungi (Basel) 2021;7:842. [PMID: 34682263 DOI: 10.3390/jof7100842] [Reference Citation Analysis]
11 Mahmutovic Persson I, von Wachenfeldt K, Waterton JC, Olsson LE, On Behalf Of The Tristan Consortium. Imaging Biomarkers in Animal Models of Drug-Induced Lung Injury: A Systematic Review. J Clin Med 2020;10:E107. [PMID: 33396865 DOI: 10.3390/jcm10010107] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Handa T, Tanizawa K, Oguma T, Uozumi R, Watanabe K, Tanabe N, Niwamoto T, Shima H, Mori R, Nobashi TW, Sakamoto R, Kubo T, Kurosaki A, Kishi K, Nakamoto Y, Hirai T. Novel Artificial Intelligence-based Technology for Chest Computed Tomography Analysis of Idiopathic Pulmonary Fibrosis. Ann Am Thorac Soc 2021. [PMID: 34410886 DOI: 10.1513/AnnalsATS.202101-044OC] [Reference Citation Analysis]
13 Mushtaq R, Jayagurunathan U, Arif-tiwari H, Yaddanapudi K. Pulmonary MRI: Applications and Use Cases. Curr Pulmonol Rep 2020;9:131-42. [DOI: 10.1007/s13665-020-00257-9] [Reference Citation Analysis]
14 Collins BF, Luppi F. Diagnosis and Management of Fibrotic Interstitial Lung Diseases. Clin Chest Med 2021;42:321-35. [PMID: 34024407 DOI: 10.1016/j.ccm.2021.03.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Calandriello L, D'Abronzo R, Pasciuto G, Cicchetti G, Del Ciello A, Farchione A, Strappa C, Manfredi R, Larici AR. Novelties in Imaging of Thoracic Sarcoidosis. J Clin Med 2021;10:2222. [PMID: 34063811 DOI: 10.3390/jcm10112222] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Valenzuela C, Torrisi SE, Kahn N, Quaresma M, Stowasser S, Kreuter M. Ongoing challenges in pulmonary fibrosis and insights from the nintedanib clinical programme. Respir Res 2020;21:7. [PMID: 31906942 DOI: 10.1186/s12931-019-1269-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
17 Ledoult E, Morelle M, Soussan M, Mékinian A, Béhal H, Sobanski V, Hachulla E, Huglo D, Le Gouellec N, Remy-Jardin M, Baillet C, Launay D. 18F-FDG positron emission tomography scanning in systemic sclerosis-associated interstitial lung disease: a pilot study. Arthritis Res Ther 2021;23:76. [PMID: 33673861 DOI: 10.1186/s13075-021-02460-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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19 Niedbalski PJ, Bier EA, Wang Z, Willmering MM, Driehuys B, Cleveland ZI. Mapping cardiopulmonary dynamics within the microvasculature of the lungs using dissolved 129Xe MRI. J Appl Physiol (1985) 2020;129:218-29. [PMID: 32552429 DOI: 10.1152/japplphysiol.00186.2020] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
20 Wongkarnjana A, Scallan C, Kolb MRJ. Progressive fibrosing interstitial lung disease: treatable traits and therapeutic strategies. Curr Opin Pulm Med 2020;26:436-42. [PMID: 32657838 DOI: 10.1097/MCP.0000000000000712] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
21 Krings JG, Wenzel SE, Castro M. The emerging role of quantitative imaging in asthma. Br J Radiol 2020;:20201133. [PMID: 33242252 DOI: 10.1259/bjr.20201133] [Reference Citation Analysis]
22 Gefter WB, Lee KS, Schiebler ML, Parraga G, Seo JB, Ohno Y, Hatabu H. Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care. Radiology 2021;299:524-38. [PMID: 33847518 DOI: 10.1148/radiol.2021204033] [Reference Citation Analysis]
23 Adegunsoye A, Ryerson CJ. Diagnostic Classification of Interstitial Lung Disease in Clinical Practice. Clin Chest Med 2021;42:251-61. [PMID: 34024401 DOI: 10.1016/j.ccm.2021.03.002] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
24 Low S, Maldonado F. Cryobiopsies for Diffuse Parenchymal Lung Disease in Acutely Ill Patients: Just Because We Can Does Not Mean We Should. Lung. [DOI: 10.1007/s00408-022-00515-4] [Reference Citation Analysis]