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For: Bousabarah K, Temming S, Hoevels M, Borggrefe J, Baus WW, Ruess D, Visser-Vandewalle V, Ruge M, Kocher M, Treuer H. Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy. Strahlenther Onkol 2019;195:830-42. [PMID: 30874846 DOI: 10.1007/s00066-019-01452-7] [Cited by in Crossref: 15] [Cited by in F6Publishing: 18] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Thomas HMT, Hippe DS, Forouzannezhad P, Sasidharan BK, Kinahan PE, Miyaoka RS, Vesselle HJ, Rengan R, Zeng J, Bowen SR. Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung radiomics? Discov Oncol 2022;13:85. [PMID: 36048266 DOI: 10.1007/s12672-022-00548-4] [Reference Citation Analysis]
2 Anan N, Zainon R, Tamal M. A review on advances in 18F-FDG PET/CT radiomics standardisation and application in lung disease management. Insights Imaging 2022;13. [DOI: 10.1186/s13244-021-01153-9] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Walls GM, Osman SOS, Brown KH, Butterworth KT, Hanna GG, Hounsell AR, McGarry CK, Leijenaar RTH, Lambin P, Cole AJ, Jain S. Radiomics for Predicting Lung Cancer Outcomes Following Radiotherapy: A Systematic Review. Clin Oncol (R Coll Radiol) 2021:S0936-6555(21)00372-1. [PMID: 34763965 DOI: 10.1016/j.clon.2021.10.006] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
4 Avanzo M, Gagliardi V, Stancanello J, Blanck O, Pirrone G, El Naqa I, Revelant A, Sartor G. Combining computed tomography and biologically effective dose in radiomics and deep learning improves prediction of tumor response to robotic lung stereotactic body radiation therapy. Med Phys 2021;48:6257-69. [PMID: 34415574 DOI: 10.1002/mp.15178] [Cited by in F6Publishing: 7] [Reference Citation Analysis]
5 Sha S, Dong J, Wang M, Chen Z, Gao P. Risk factors for radiation-induced lung injury in patients with advanced non-small cell lung cancer: implication for treatment strategies. World J Surg Oncol 2021;19:214. [PMID: 34271911 DOI: 10.1186/s12957-021-02321-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Bousabarah K, Blanck O, Temming S, Wilhelm ML, Hoevels M, Baus WW, Ruess D, Visser-Vandewalle V, Ruge MI, Treuer H, Kocher M. Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions. Radiat Oncol 2021;16:74. [PMID: 33863358 DOI: 10.1186/s13014-021-01805-6] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
7 Wang Z, Wu Q, Dong L, Fu H, Liu Q. Early differential diagnosis model for acute radiation pneumonitis based on multiple parameters. Biosci Rep 2020;40:BSR20200299. [PMID: 32270860 DOI: 10.1042/BSR20200299] [Reference Citation Analysis]
8 Yu H, Lam KO, Wu H, Green M, Wang W, Jin JY, Hu C, Jolly S, Wang Y, Kong FS. Weighted-Support Vector Machine Learning Classifier of Circulating Cytokine Biomarkers to Predict Radiation-Induced Lung Fibrosis in Non-Small-Cell Lung Cancer Patients. Front Oncol 2020;10:601979. [PMID: 33598430 DOI: 10.3389/fonc.2020.601979] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
9 Kothari G, Korte J, Lehrer EJ, Zaorsky NG, Lazarakis S, Kron T, Hardcastle N, Siva S. A systematic review and meta-analysis of the prognostic value of radiomics based models in non-small cell lung cancer treated with curative radiotherapy. Radiother Oncol 2021;155:188-203. [PMID: 33096167 DOI: 10.1016/j.radonc.2020.10.023] [Cited by in Crossref: 4] [Cited by in F6Publishing: 13] [Article Influence: 2.0] [Reference Citation Analysis]
10 Desideri I, Loi M, Francolini G, Becherini C, Livi L, Bonomo P. Application of Radiomics for the Prediction of Radiation-Induced Toxicity in the IMRT Era: Current State-of-the-Art. Front Oncol 2020;10:1708. [PMID: 33117669 DOI: 10.3389/fonc.2020.01708] [Cited by in Crossref: 5] [Cited by in F6Publishing: 14] [Article Influence: 2.5] [Reference Citation Analysis]
11 Yang WC, Hsu FM, Yang PC. Precision radiotherapy for non-small cell lung cancer. J Biomed Sci 2020;27:82. [PMID: 32693792 DOI: 10.1186/s12929-020-00676-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 13] [Article Influence: 1.5] [Reference Citation Analysis]
12 Li J, Li H, Wang Y, Liu J, Wang X, Pang H, Chang D, Di Y, Ren G, Li P, Wang Y, Liu C, Chen X, Kang X, Xia T. Outcomes of Hypofractional Tomotherapy in Patients with Stage III Nonsmall Cell Lung Cancer Who Are Not Eligible for Surgery or Concurrent Chemoradiation. Biomed Res Int 2020;2020:9168424. [PMID: 32685544 DOI: 10.1155/2020/9168424] [Reference Citation Analysis]
13 Chassagnon G, Martini K, Giraud P, Revel MP. Radiological assessment after stereotactic body radiation of lung tumours. Cancer Radiother 2020;24:379-87. [PMID: 32534799 DOI: 10.1016/j.canrad.2020.04.009] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
14 Isaksson LJ, Pepa M, Zaffaroni M, Marvaso G, Alterio D, Volpe S, Corrao G, Augugliaro M, Starzyńska A, Leonardi MC, Orecchia R, Jereczek-Fossa BA. Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy. Front Oncol 2020;10:790. [PMID: 32582539 DOI: 10.3389/fonc.2020.00790] [Cited by in F6Publishing: 22] [Reference Citation Analysis]
15 Frerker B, Hildebrandt G. Distinguishing Radiation Pneumonitis from Local Tumour Recurrence Following SBRT for Lung Cancer

]]>. RMI 2020;Volume 13:1-23. [DOI: 10.2147/rmi.s176901] [Reference Citation Analysis]
16 Scobioala S, Eich HT. Risk stratification of pulmonary toxicities in the combination of whole lung irradiation and high-dose chemotherapy for Ewing sarcoma patients with lung metastases: a review. Strahlenther Onkol 2020;196:495-504. [PMID: 32166453 DOI: 10.1007/s00066-020-01599-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
17 Bettinelli A, Branchini M, De Monte F, Scaggion A, Paiusco M. Technical Note: An IBEX adaption toward image biomarker standardization. Med Phys 2020;47:1167-73. [DOI: 10.1002/mp.13956] [Cited by in Crossref: 7] [Cited by in F6Publishing: 14] [Article Influence: 3.5] [Reference Citation Analysis]
18 Kakino R, Nakamura M, Mitsuyoshi T, Shintani T, Hirashima H, Matsuo Y, Mizowaki T. Comparison of radiomic features in diagnostic CT images with and without contrast enhancement in the delayed phase for NSCLC patients. Phys Med 2020;69:176-82. [PMID: 31918370 DOI: 10.1016/j.ejmp.2019.12.019] [Cited by in Crossref: 11] [Cited by in F6Publishing: 18] [Article Influence: 5.5] [Reference Citation Analysis]