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For: Du K, Bayouth JE, Cao K, Christensen GE, Ding K, Reinhardt JM. Reproducibility of registration-based measures of lung tissue expansion. Med Phys 2012;39:1595-608. [PMID: 22380392 DOI: 10.1118/1.3685589] [Cited by in Crossref: 45] [Cited by in F6Publishing: 45] [Article Influence: 5.0] [Reference Citation Analysis]
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8 Motta-Ribeiro GC, Hashimoto S, Winkler T, Baron RM, Grogg K, Paula LFSC, Santos A, Zeng C, Hibbert K, Harris RS, Bajwa E, Vidal Melo MF. Deterioration of Regional Lung Strain and Inflammation during Early Lung Injury. Am J Respir Crit Care Med 2018;198:891-902. [PMID: 29787304 DOI: 10.1164/rccm.201710-2038OC] [Cited by in Crossref: 42] [Cited by in F6Publishing: 43] [Article Influence: 14.0] [Reference Citation Analysis]
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10 Vinogradskiy Y. CT-based ventilation imaging in radiation oncology. BJR Open 2019;1:20180035. [PMID: 33178925 DOI: 10.1259/bjro.20180035] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
11 Sharifi H, Brown S, McDonald GC, Chetty IJ, Zhong H. 4-Dimensional computed tomography-based ventilation and compliance images for quantification of radiation-induced changes in pulmonary function. J Med Imaging Radiat Oncol 2019;63:370-7. [PMID: 30932346 DOI: 10.1111/1754-9485.12881] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
12 Motta-Ribeiro G, Winkler T, Hashimoto S, Vidal Melo MF. Spatial Heterogeneity of Lung Strain and Aeration and Regional Inflammation During Early Lung Injury Assessed with PET/CT. Acad Radiol 2019;26:313-25. [PMID: 30057194 DOI: 10.1016/j.acra.2018.02.028] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.3] [Reference Citation Analysis]
13 Pinder-Arabpour A, Jones B, Castillo R, Castillo E, Guerrero T, Goodman K, Schefter T, Kwak J, Miften M, Vinogradskiy Y. Characterizing Spatial Lung Function for Esophageal Cancer Patients Undergoing Radiation Therapy. Int J Radiat Oncol Biol Phys 2019;103:738-46. [PMID: 30612962 DOI: 10.1016/j.ijrobp.2018.10.024] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
14 Otsuka M, Monzen H, Matsumoto K, Tamura M, Inada M, Kadoya N, Nishimura Y. Evaluation of lung toxicity risk with computed tomography ventilation image for thoracic cancer patients. PLoS One 2018;13:e0204721. [PMID: 30281625 DOI: 10.1371/journal.pone.0204721] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
15 Patton TJ, Gerard SE, Shao W, Christensen GE, Reinhardt JM, Bayouth JE. Quantifying ventilation change due to radiation therapy using 4DCT Jacobian calculations. Med Phys 2018;45:4483-92. [PMID: 30047588 DOI: 10.1002/mp.13105] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
16 Miyakawa S, Tachibana H, Moriya S, Kurosawa T, Nishio T, Sato M. Design and development of a nonrigid phantom for the quantitative evaluation of DIR-based mapping of simulated pulmonary ventilation. Med Phys 2018;45:3496-505. [DOI: 10.1002/mp.13017] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
17 Yamamoto T, Kabus S, Bal M, Bzdusek K, Keall PJ, Wright C, Benedict SH, Daly ME. Changes in Regional Ventilation During Treatment and Dosimetric Advantages of CT Ventilation Image Guided Radiation Therapy for Locally Advanced Lung Cancer. Int J Radiat Oncol Biol Phys 2018;102:1366-73. [PMID: 29891207 DOI: 10.1016/j.ijrobp.2018.04.063] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
18 Guy CL, Weiss E, Christensen GE, Jan N, Hugo GD. CALIPER: A deformable image registration algorithm for large geometric changes during radiotherapy for locally advanced non-small cell lung cancer. Med Phys 2018;45:2498-508. [PMID: 29603277 DOI: 10.1002/mp.12891] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 3.3] [Reference Citation Analysis]
19 Faught AM, Olsen L, Schubert L, Rusthoven C, Castillo E, Castillo R, Zhang J, Guerrero T, Miften M, Vinogradskiy Y. Functional-guided radiotherapy using knowledge-based planning. Radiother Oncol 2018;129:494-8. [PMID: 29628292 DOI: 10.1016/j.radonc.2018.03.025] [Cited by in Crossref: 17] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
20 Yamamoto T, Kabus S. Technical Note: Correction for the effect of breathing variations in CT pulmonary ventilation imaging. Med Phys 2018;45:322-7. [PMID: 29072320 DOI: 10.1002/mp.12634] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
21 Horie M, Saito T, Moseley J, D'errico L, Salazar P, Nakajima D, Brock K, Yasufuku K, Binnie M, Keshavjee S, Paul N. The role of biomechanical anatomical modeling via computed tomography for identification of restrictive allograft syndrome. Clin Transplant 2017;31:e13027. [DOI: 10.1111/ctr.13027] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
22 Faught AM, Miyasaka Y, Kadoya N, Castillo R, Castillo E, Vinogradskiy Y, Yamamoto T. Evaluating the Toxicity Reduction With Computed Tomographic Ventilation Functional Avoidance Radiation Therapy. Int J Radiat Oncol Biol Phys 2017;99:325-33. [PMID: 28871982 DOI: 10.1016/j.ijrobp.2017.04.024] [Cited by in Crossref: 40] [Cited by in F6Publishing: 34] [Article Influence: 8.0] [Reference Citation Analysis]
23 Faught AM, Yamamoto T, Castillo R, Castillo E, Zhang J, Miften M, Vinogradskiy Y. Evaluating Which Dose-Function Metrics Are Most Critical for Functional-Guided Radiation Therapy. Int J Radiat Oncol Biol Phys 2017;99:202-9. [PMID: 28816147 DOI: 10.1016/j.ijrobp.2017.03.051] [Cited by in Crossref: 29] [Cited by in F6Publishing: 30] [Article Influence: 5.8] [Reference Citation Analysis]
24 Zhang GG, Latifi K, Feygelman V, Dilling TJ, Moros EG. 4DCT-Derived Ventilation Distribution Reproducibility Over Time. Biomedical Engineering Systems and Technologies 2017. [DOI: 10.1007/978-3-319-54717-6_4] [Reference Citation Analysis]
25 Ireland R, Tahir B, Wild J, Lee C, Hatton M. Functional Image-guided Radiotherapy Planning for Normal Lung Avoidance. Clinical Oncology 2016;28:695-707. [DOI: 10.1016/j.clon.2016.08.005] [Cited by in Crossref: 35] [Cited by in F6Publishing: 33] [Article Influence: 5.8] [Reference Citation Analysis]
26 Kipritidis J, Hugo G, Weiss E, Williamson J, Keall PJ. Measuring interfraction and intrafraction lung function changes during radiation therapy using four-dimensional cone beam CT ventilation imaging. Med Phys 2015;42:1255-67. [PMID: 25735281 DOI: 10.1118/1.4907991] [Cited by in Crossref: 29] [Cited by in F6Publishing: 31] [Article Influence: 4.8] [Reference Citation Analysis]
27 Zhang GG, Latifi K, Du K, Reinhardt JM, Christensen GE, Ding K, Feygelman V, Moros EG. Evaluation of the ΔV 4D CT ventilation calculation method using in vivo xenon CT ventilation data and comparison to other methods. J Appl Clin Med Phys 2016;17:550-60. [PMID: 27074479 DOI: 10.1120/jacmp.v17i2.5985] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.7] [Reference Citation Analysis]
28 Kida S, Bal M, Kabus S, Negahdar M, Shan X, Loo BW, Keall PJ, Yamamoto T. CT ventilation functional image-based IMRT treatment plans are comparable to SPECT ventilation functional image-based plans. Radiotherapy and Oncology 2016;118:521-7. [DOI: 10.1016/j.radonc.2016.02.019] [Cited by in Crossref: 27] [Cited by in F6Publishing: 28] [Article Influence: 4.5] [Reference Citation Analysis]
29 Yamamoto T, Kabus S, Bal M, Keall P, Benedict S, Daly M. The first patient treatment of computed tomography ventilation functional image-guided radiotherapy for lung cancer. Radiotherapy and Oncology 2016;118:227-31. [DOI: 10.1016/j.radonc.2015.11.006] [Cited by in Crossref: 66] [Cited by in F6Publishing: 67] [Article Influence: 11.0] [Reference Citation Analysis]
30 Hunter RL. Tuberculosis as a three-act play: A new paradigm for the pathogenesis of pulmonary tuberculosis. Tuberculosis (Edinb) 2016;97:8-17. [PMID: 26980490 DOI: 10.1016/j.tube.2015.11.010] [Cited by in Crossref: 101] [Cited by in F6Publishing: 74] [Article Influence: 16.8] [Reference Citation Analysis]
31 King MT, Maxim PG, Diehn M, Loo BW, Xing L. Analysis of Long-Term 4-Dimensional Computed Tomography Regional Ventilation After Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics 2015;92:683-90. [DOI: 10.1016/j.ijrobp.2015.02.037] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 1.7] [Reference Citation Analysis]
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33 Jacob RE, Lamm WJ, Einstein DR, Krueger MA, Glenny RW, Corley RA. Comparison of CT-derived ventilation maps with deposition patterns of inhaled microspheres in rats. Exp Lung Res 2015;41:135-45. [PMID: 25513951 DOI: 10.3109/01902148.2014.984085] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
34 Du K, Reinhardt JM, Christensen GE, Ding K, Bayouth JE. Respiratory effort correction strategies to improve the reproducibility of lung expansion measurements. Med Phys 2013;40:123504. [PMID: 24320544 DOI: 10.1118/1.4829519] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 2.5] [Reference Citation Analysis]
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41 Latifi K, Feygelman V, Moros EG, Dilling TJ, Stevens CW, Zhang GG. Normalization of ventilation data from 4D-CT to facilitate comparison between datasets acquired at different times. PLoS One 2013;8:e84083. [PMID: 24358330 DOI: 10.1371/journal.pone.0084083] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.8] [Reference Citation Analysis]
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