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For: Washko GR, Parraga G. COPD biomarkers and phenotypes: opportunities for better outcomes with precision imaging. Eur Respir J 2018;52:1801570. [PMID: 30337445 DOI: 10.1183/13993003.01570-2018] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 4.5] [Reference Citation Analysis]
Number Citing Articles
1 Li T, Zhou HP, Zhou ZJ, Guo LQ, Zhou L. Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease. Chin Med J (Engl) 2021;134:2025-36. [PMID: 34517376 DOI: 10.1097/CM9.0000000000001724] [Reference Citation Analysis]
2 Díaz López JM, Giran González B, Alcázar-Navarrete B. Personalized Medicine in Chronic Obstructive Pulmonary Disease: How Close Are We? Arch Bronconeumol (Engl Ed) 2020;56:420-1. [PMID: 31722826 DOI: 10.1016/j.arbres.2019.09.002] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
3 Tafti S, Garrison WJ, Mugler JP 3rd, Shim YM, Altes TA, Mata JF, de Lange EE, Cates GD Jr, Ropp AM, Wang C, Miller GW. Emphysema Index Based on Hyperpolarized 3He or 129Xe Diffusion MRI: Performance and Comparison with Quantitative CT and Pulmonary Function Tests. Radiology 2020;297:201-10. [PMID: 32779976 DOI: 10.1148/radiol.2020192804] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
4 Leung JM, Obeidat M, Sadatsafavi M, Sin DD. Introduction to precision medicine in COPD. Eur Respir J 2019;53:1802460. [DOI: 10.1183/13993003.02460-2018] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 5.3] [Reference Citation Analysis]
5 Lor KL, Chang YC, Yu CJ, Wang CY, Chen CM; TCORE consortium. Bullous Parametric Response Map for Functional Localization of COPD. J Digit Imaging 2022. [PMID: 35018538 DOI: 10.1007/s10278-021-00561-z] [Reference Citation Analysis]
6 Winther HB, Gutberlet M, Hundt C, Kaireit TF, Alsady TM, Schmidt B, Wacker F, Sun Y, Dettmer S, Maschke SK, Hinrichs JB, Jambawalikar S, Prince MR, Barr RG, Vogel-Claussen J. Deep semantic lung segmentation for tracking potential pulmonary perfusion biomarkers in chronic obstructive pulmonary disease (COPD): The multi-ethnic study of atherosclerosis COPD study. J Magn Reson Imaging 2020;51:571-9. [PMID: 31276264 DOI: 10.1002/jmri.26853] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
7 San José Estépar R. Artificial intelligence in functional imaging of the lung. Br J Radiol 2021;:20210527. [PMID: 34890215 DOI: 10.1259/bjr.20210527] [Reference Citation Analysis]
8 Alcázar-Navarrete B, Romero-Palacios PJ; en nombre de la International Society of Liquid Biopsy (ISLB). The Use of Non-Tumor-Related Liquid Biopsy in Respiratory Medicine. Arch Bronconeumol (Engl Ed) 2019;55:555-6. [PMID: 31377108 DOI: 10.1016/j.arbres.2019.06.014] [Reference Citation Analysis]
9 Valk A, Willers C, Shahim K, Pusterla O, Bauman G, Sandkühler R, Bieri O, Wyler F, Latzin P. Defect distribution index: A novel metric for functional lung MRI in cystic fibrosis. Magn Reson Med 2021. [PMID: 34337778 DOI: 10.1002/mrm.28947] [Reference Citation Analysis]
10 Everaerts S, Mcdonough JE, Verleden SE, Josipovic I, Boone M, Dubbeldam A, Mathyssen C, Serré J, Dupont LJ, Gayan-ramirez G, Verschakelen J, Hogg JC, Verleden GM, Vanaudenaerde BM, Janssens W. Airway morphometry in COPD with bronchiectasis: a view on all airway generations. Eur Respir J 2019;54:1802166. [DOI: 10.1183/13993003.02166-2018] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
11 Ko FWS, Sin DD. Twenty-five years of Respirology: Advances in COPD. Respirology 2020;25:17-9. [PMID: 31840889 DOI: 10.1111/resp.13734] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Brightling C, Greening N. Airway inflammation in COPD: progress to precision medicine. Eur Respir J 2019;54:1900651. [PMID: 31073084 DOI: 10.1183/13993003.00651-2019] [Cited by in Crossref: 24] [Cited by in F6Publishing: 22] [Article Influence: 8.0] [Reference Citation Analysis]
13 Kooner HK, McIntosh MJ, Desaigoudar V, Rayment JH, Eddy RL, Driehuys B, Parraga G. Pulmonary functional MRI: Detecting the structure-function pathologies that drive asthma symptoms and quality of life. Respirology 2022. [PMID: 35008127 DOI: 10.1111/resp.14197] [Reference Citation Analysis]
14 Krings JG, Goss CW, Lew D, Samant M, McGregor MC, Boomer J, Bacharier LB, Sheshadri A, Hall C, Brownell J, Schechtman KB, Peterson S, McEleney S, Mauger DT, Fahy JV, Fain SB, Denlinger LC, Israel E, Washko G, Hoffman E, Wenzel SE, Castro M; National Heart, Lung, and Blood Institute’s Severe Asthma Research Program Investigators. Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3. J Allergy Clin Immunol 2021:S0091-6749(21)00176-7. [PMID: 33577895 DOI: 10.1016/j.jaci.2021.01.029] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
15 Kirby M, Tanabe N, Vasilescu DM, Cooper JD, McDonough JE, Verleden SE, Vanaudenaerde BM, Sin DD, Tan WC, Coxson HO, Hogg JC. Computed Tomography Total Airway Count Is Associated with the Number of Micro-Computed Tomography Terminal Bronchioles. Am J Respir Crit Care Med 2020;201:613-5. [PMID: 31697561 DOI: 10.1164/rccm.201910-1948LE] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
16 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]