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Cited by in F6Publishing
For: Akram F, Koh PE, Wang F, Zhou S, Tan SH, Paknezhad M, Park S, Hennedige T, Thng CH, Lee HK, Sommat K. Exploring MRI based radiomics analysis of intratumoral spatial heterogeneity in locally advanced nasopharyngeal carcinoma treated with intensity modulated radiotherapy. PLoS One 2020;15:e0240043. [PMID: 33017440 DOI: 10.1371/journal.pone.0240043] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Beddok A, Orlhac F, Calugaru V, Champion L, Ala Eddine C, Nioche C, Créhange G, Buvat I. [18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer. Eur J Nucl Med Mol Imaging 2023;50:559-71. [PMID: 36282298 DOI: 10.1007/s00259-022-06000-7] [Reference Citation Analysis]
2 Zhan D, Chen Z, Yang D, Wen J, Liu W, Li W. Clinical Effect of Apatinib Mesylate Tablets Combined with Paclitaxel Concurrent Radiotherapy and Chemotherapy in the First-Line Treatment of Locally Advanced Nasopharyngeal Carcinoma. Emergency Medicine International 2022;2022:1-8. [DOI: 10.1155/2022/6293816] [Reference Citation Analysis]
3 Beddok A, Saint‐martin C, Krhili S, Eddine CA, Champion L, Chilles A, Goudjil F, Zefkili S, Amessis M, Peurien D, Choussy O, le Tourneau C, Dendale R, Buvat I, Créhange G, Calugaru V. Curative high‐dose reirradiation for patients with recurrent head and neck squamous cell carcinoma using IMRT or proton therapy: Outcomes and analysis of patterns of failure. Head & Neck. [DOI: 10.1002/hed.27153] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Abdollahi H, Chin E, Clark H, Hyde DE, Thomas S, Wu J, Uribe CF, Rahmim A. Radiomics-guided radiation therapy: opportunities and challenges. Phys Med Biol 2022;67:12TR02. [DOI: 10.1088/1361-6560/ac6fab] [Reference Citation Analysis]
5 Duan W, Xiong B, Tian T, Zou X, He Z, Zhang L. Radiomics in Nasopharyngeal Carcinoma. Clin Med Insights Oncol 2022;16:11795549221079186. [PMID: 35237090 DOI: 10.1177/11795549221079186] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
6 Zhang YM, Gong GZ, Qiu QT, Han YW, Lu HM, Yin Y. Radiomics for Diagnosis and Radiotherapy of Nasopharyngeal Carcinoma. Front Oncol 2021;11:767134. [PMID: 35070971 DOI: 10.3389/fonc.2021.767134] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Kang L, Niu Y, Huang R, Lin SY, Tang Q, Chen A, Fan Y, Lang J, Yin G, Zhang P. Predictive Value of a Combined Model Based on Pre-Treatment and Mid-Treatment MRI-Radiomics for Disease Progression or Death in Locally Advanced Nasopharyngeal Carcinoma. Front Oncol 2021;11:774455. [PMID: 34950584 DOI: 10.3389/fonc.2021.774455] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Li S, Deng YQ, Zhu ZL, Hua HL, Tao ZZ. A Comprehensive Review on Radiomics and Deep Learning for Nasopharyngeal Carcinoma Imaging. Diagnostics (Basel) 2021;11:1523. [PMID: 34573865 DOI: 10.3390/diagnostics11091523] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
9 Sun R, Lerousseau M, Henry T, Carré A, Leroy A, Estienne T, Niyoteka S, Bockel S, Rouyar A, Alvarez Andres É, Benzazon N, Battistella E, Classe M, Robert C, Scoazec JY, Deutsch É. [Artificial intelligence, radiomics and pathomics to predict response and survival of patients treated with radiations]. Cancer Radiother 2021;25:630-7. [PMID: 34284970 DOI: 10.1016/j.canrad.2021.06.027] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Gillies RJ. Cancer heterogeneity and metastasis: life at the edge. Clin Exp Metastasis 2021. [PMID: 33999364 DOI: 10.1007/s10585-021-10101-2] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 6.0] [Reference Citation Analysis]
11 Spadarella G, Calareso G, Garanzini E, Ugga L, Cuocolo A, Cuocolo R. MRI based radiomics in nasopharyngeal cancer: Systematic review and perspectives using radiomic quality score (RQS) assessment. Eur J Radiol 2021;140:109744. [PMID: 33962253 DOI: 10.1016/j.ejrad.2021.109744] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 8.5] [Reference Citation Analysis]