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For: Hegi-johnson F, de Ruysscher D, Keall P, Hendriks L, Vinogradskiy Y, Yamamoto T, Tahir B, Kipritidis J. Imaging of regional ventilation: Is CT ventilation imaging the answer? A systematic review of the validation data. Radiotherapy and Oncology 2019;137:175-85. [DOI: 10.1016/j.radonc.2019.03.010] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Bucknell N, Hardcastle N, Gunewardena R, Nguyen L, Callahan J, Ball D, Selbie L, Kron T, Turgeon GA, Hofman MS, Siva S. Mid-treatment adaptive planning during thoracic radiation using 68 Ventilation-Perfusion Positron emission tomography. Clin Transl Radiat Oncol 2023;40:100599. [PMID: 36879654 DOI: 10.1016/j.ctro.2023.100599] [Reference Citation Analysis]
2 Yamamoto T, Kabus S, Bal M, Keall PJ, Moran A, Wright C, Benedict SH, Holland D, Mahaffey N, Qi L, Daly ME. Four-Dimensional Computed Tomography Ventilation Image-Guided Lung Functional Avoidance Radiation Therapy: A Single-Arm Prospective Pilot Clinical Trial. Int J Radiat Oncol Biol Phys 2023;115:1144-54. [PMID: 36427643 DOI: 10.1016/j.ijrobp.2022.11.026] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Passannante R, Gómez-Vallejo V, Cossío U, Ruiz-Cabello J, Lekuona A, Salinas V, Amado-Rodríguez L, Albaiceta GM, Martín A, Rejc L, Llop J. Assessment of Regional Lung Ventilation with Positron Emission Tomography Using the Radiofluorinated Gas [(18)F]SF(6): Application to an Animal Model of Impaired Ventilation. Mol Imaging Biol 2023;25:413-22. [PMID: 36167904 DOI: 10.1007/s11307-022-01773-7] [Reference Citation Analysis]
4 Li S, Liu J, Gao S, Yin Y, Zhang L, Han Y, Zhang X, Li Y, Yan J, Hou Z. CT ventilation image-guided helical Tomotherapy at sparing functional lungs for locally advanced lung cancer: analysis of dose-function metrics and the impact on pulmonary toxicity. Radiat Oncol 2023;18:6. [PMID: 36624537 DOI: 10.1186/s13014-022-02189-x] [Reference Citation Analysis]
5 Katsuta Y, Kadoya N, Kajikawa T, Mouri S, Kimura T, Takeda K, Yamamoto T, Imano N, Tanaka S, Ito K, Kanai T, Nakajima Y, Jingu K. Radiation pneumonitis prediction model with integrating multiple dose-function features on 4DCT ventilation images. Phys Med 2023;105:102505. [PMID: 36535238 DOI: 10.1016/j.ejmp.2022.11.009] [Reference Citation Analysis]
6 Yang Z, Lafata KJ, Chen X, Bowsher J, Chang Y, Wang C, Yin FF. Quantification of lung function on CT images based on pulmonary radiomic filtering. Med Phys 2022;49:7278-86. [PMID: 35770964 DOI: 10.1002/mp.15837] [Reference Citation Analysis]
7 Neelakantan S, Xin Y, Gaver DP, Cereda M, Rizi R, Smith BJ, Avazmohammadi R. Computational lung modelling in respiratory medicine. J R Soc Interface 2022;19:20220062. [DOI: 10.1098/rsif.2022.0062] [Reference Citation Analysis]
8 San José Estépar R. Artificial intelligence in functional imaging of the lung. Br J Radiol 2022;95:20210527. [PMID: 34890215 DOI: 10.1259/bjr.20210527] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
9 Chen G, Cui J, Qian J, Zhu J, Zhao L, Luo B, Cui T, Zhong L, Yang F, Yang G, Zhao X, Zhou Y, Geng M, Sun J. Rapid Progress in Intelligent Radiotherapy and Future Implementation. Cancer Invest 2022;:1-17. [PMID: 35225723 DOI: 10.1080/07357907.2022.2044842] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Scharm SC, Schaefer-Prokop C, Willmann M, Vogel-Claussen J, Knudsen L, Jonigk D, Fuge J, Welte T, Wacker F, Prasse A, Shin HO. Increased regional ventilation as early imaging marker for future disease progression of interstitial lung disease: a feasibility study. Eur Radiol 2022;32:6046-57. [PMID: 35357537 DOI: 10.1007/s00330-022-08702-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Porter EM, Myziuk NK, Quinn TJ, Lozano D, Peterson AB, Quach DM, Siddiqui ZA, Guerrero TM. Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning. Phys Med Biol 2021;66. [PMID: 34293726 DOI: 10.1088/1361-6560/ac16ec] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 Wuschner AE, Wallat EM, Flakus MJ, Shanmuganayagam D, Meudt J, Christensen GE, Reinhardt JM, Miller JR, Lawless MJ, Baschnagel AM, Bayouth JE. Radiation-induced Hounsfield unit change correlates with dynamic CT perfusion better than 4DCT-based ventilation measures in a novel-swine model. Sci Rep 2021;11:13156. [PMID: 34162987 DOI: 10.1038/s41598-021-92609-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
13 Nyeng TB, Møller DS, Farr K, Kramer S, Khalil AA, Grau C, Hoffmann L. A comparison of two methods for segmentation of functional volumes in radiotherapy planning of lung cancer patients. Acta Oncol 2021;60:353-60. [PMID: 33522851 DOI: 10.1080/0284186X.2021.1877811] [Reference Citation Analysis]
14 Capaldi DPI, Guo F, Xing L, Parraga G. Pulmonary Ventilation Maps Generated with Free-breathing Proton MRI and a Deep Convolutional Neural Network. Radiology 2021;298:427-38. [PMID: 33289613 DOI: 10.1148/radiol.2020202861] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 1.7] [Reference Citation Analysis]
15 Vicente E, Modiri A, Kipritidis J, Hagan A, Yu K, Wibowo H, Yan Y, Owen DR, Matuszak MM, Mohindra P, Timmerman R, Sawant A. Functionally weighted airway sparing (FWAS): a functional avoidance method for preserving post-treatment ventilation in lung radiotherapy. Phys Med Biol 2020;65:165010. [PMID: 32575096 DOI: 10.1088/1361-6560/ab9f5d] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.7] [Reference Citation Analysis]
16 Nakajima Y, Kadoya N, Kimura T, Hioki K, Jingu K, Yamamoto T. Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer. Adv Radiat Oncol 2020;5:459-65. [PMID: 32529141 DOI: 10.1016/j.adro.2020.03.002] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
17 Milano MT, Mihai A, Kang J, Singh DP, Verma V, Qiu H, Chen Y, Kong F(. Stereotactic body radiotherapy in patients with multiple lung tumors: a focus on lung dosimetric constraints. Expert Review of Anticancer Therapy 2019;19:959-69. [DOI: 10.1080/14737140.2019.1686980] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]