BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Hegi-Johnson F, Keall P, Barber J, Bui C, Kipritidis J. Evaluating the accuracy of 4D-CT ventilation imaging: First comparison with Technegas SPECT ventilation. Med Phys 2017;44:4045-55. [PMID: 28477378 DOI: 10.1002/mp.12317] [Cited by in Crossref: 20] [Cited by in F6Publishing: 19] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Flakus MJ, Kent SP, Wallat EM, Wuschner AE, Tennant E, Yadav P, Burr A, Yu M, Christensen GE, Reinhardt JM, Bayouth JE, Baschnagel AM. Metrics of dose to highly ventilated lung are predictive of radiation-induced pneumonitis in lung cancer patients. Radiother Oncol 2023;182:109553. [PMID: 36813178 DOI: 10.1016/j.radonc.2023.109553] [Reference Citation Analysis]
2 Ren G, Lam SK, Zhang J, Xiao H, Cheung AL, Ho WY, Qin J, Cai J. Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy. Front Oncol 2021;11:644703. [PMID: 33842356 DOI: 10.3389/fonc.2021.644703] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
3 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]
4 Vij N. Prognosis-Based Early Intervention Strategies to Resolve Exacerbation and Progressive Lung Function Decline in Cystic Fibrosis. J Pers Med 2021;11:96. [PMID: 33546140 DOI: 10.3390/jpm11020096] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Cazoulat G, Balter JM, Matuszak MM, Jolly S, Owen D, Brock KK. Mapping lung ventilation through stress maps derived from biomechanical models of the lung. Med Phys 2021;48:715-23. [PMID: 33617034 DOI: 10.1002/mp.14643] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
6 Kadoya N, Nemoto H, Kajikawa T, Nakajima Y, Kanai T, Ieko Y, Ikeda R, Sato K, Dobashi S, Takeda K, Jingu K. Evaluation of four-dimensional cone beam computed tomography ventilation images acquired with two different linear accelerators at various gantry speeds using a deformable lung phantom. Phys Med 2020;77:75-83. [PMID: 32795891 DOI: 10.1016/j.ejmp.2020.07.030] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
7 Barber J, Yuen J, Jameson M, Schmidt L, Sykes J, Gray A, Hardcastle N, Choong C, Poder J, Walker A, Yeo A, Archibald-Heeren B, Harrison K, Haworth A, Thwaites D. Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy. J Med Radiat Sci 2020;67:318-32. [PMID: 32741090 DOI: 10.1002/jmrs.417] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
8 Ieko Y, Kadoya N, Kanai T, Nakajima Y, Arai K, Kato T, Ito K, Miyasaka Y, Takeda K, Iwai T, Nemoto K, Jingu K. The impact of 4DCT-ventilation imaging-guided proton therapy on stereotactic body radiotherapy for lung cancer. Radiol Phys Technol 2020;13:230-7. [PMID: 32537735 DOI: 10.1007/s12194-020-00572-5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
9 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]
10 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]
11 Zhong Y, Vinogradskiy Y, Chen L, Myziuk N, Castillo R, Castillo E, Guerrero T, Jiang S, Wang J. Technical Note: Deriving ventilation imaging from 4DCT by deep convolutional neural network. Med Phys 2019;46:2323-9. [PMID: 30714159 DOI: 10.1002/mp.13421] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 3.5] [Reference Citation Analysis]
12 Kipritidis J, Tahir BA, Cazoulat G, Hofman MS, Siva S, Callahan J, Hardcastle N, Yamamoto T, Christensen GE, Reinhardt JM, Kadoya N, Patton TJ, Gerard SE, Duarte I, Archibald-Heeren B, Byrne M, Sims R, Ramsay S, Booth JT, Eslick E, Hegi-Johnson F, Woodruff HC, Ireland RH, Wild JM, Cai J, Bayouth JE, Brock K, Keall PJ. The VAMPIRE challenge: A multi-institutional validation study of CT ventilation imaging. Med Phys 2019;46:1198-217. [PMID: 30575051 DOI: 10.1002/mp.13346] [Cited by in Crossref: 38] [Cited by in F6Publishing: 38] [Article Influence: 9.5] [Reference Citation Analysis]
13 Lao Y, David J, Mirhadi A, Lepore N, Sandler H, Wang Y, Tuli R, Yang W. Discriminating lung adenocarcinoma from lung squamous cell carcinoma using respiration-induced tumor shape changes. Phys Med Biol 2018;63:215027. [PMID: 30403196 DOI: 10.1088/1361-6560/aae7f1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
14 Tahir BA, Hughes PJ, Robinson SD, Marshall H, Stewart NJ, Norquay G, Biancardi A, Chan H, Collier GJ, Hart KA, Swinscoe JA, Hatton MQ, Wild JM, Ireland RH. Spatial Comparison of CT-Based Surrogates of Lung Ventilation With Hyperpolarized Helium-3 and Xenon-129 Gas MRI in Patients Undergoing Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics 2018;102:1276-86. [DOI: 10.1016/j.ijrobp.2018.04.077] [Cited by in Crossref: 23] [Cited by in F6Publishing: 24] [Article Influence: 4.6] [Reference Citation Analysis]
15 Bucknell NW, Hardcastle N, Bressel M, Hofman MS, Kron T, Ball D, Siva S. Functional lung imaging in radiation therapy for lung cancer: A systematic review and meta-analysis. Radiother Oncol 2018;129:196-208. [PMID: 30082143 DOI: 10.1016/j.radonc.2018.07.014] [Cited by in Crossref: 38] [Cited by in F6Publishing: 39] [Article Influence: 7.6] [Reference Citation Analysis]
16 Miyakawa S, Tachibana H, Moriya S, Kurosawa T, Nishio T. Evaluation of deformation parameters for deformable image registration-based ventilation imaging using an air-ventilating non-rigid phantom. Physica Medica 2018;50:20-5. [DOI: 10.1016/j.ejmp.2018.05.016] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
17 Eslick EM, Kipritidis J, Gradinscak D, Stevens MJ, Bailey DL, Harris B, Booth JT, Keall PJ. CT ventilation imaging derived from breath hold CT exhibits good regional accuracy with Galligas PET. Radiotherapy and Oncology 2018;127:267-73. [DOI: 10.1016/j.radonc.2017.12.010] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.0] [Reference Citation Analysis]
18 Cha J, Dunlap N, Amini AA. Statistical correlation of CT ventilation imaging and V/Q spect in patients with lung cancer. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) 2018. [DOI: 10.1109/isbi.2018.8363688] [Reference Citation Analysis]
19 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]