Nyt fra tidsskrifterne
Søgeord (ebv) valgt.
2 emner vises.
1
Multimodality radiomics for tumor prognosis in nasopharyngeal carcinoma
Sararas Khongwirotphan, Sornjarod Oonsiri, Sarin Kitpanit, Anussara Prayongrat, Danita Kannarunimit, Chakkapong Chakkabat, Chawalit Lertbutsayanukul, Sira Sriswasdi, Yothin Rakvongthai
PLoS One Infectious Diseases, 12.02.2024
Tilføjet 12.02.2024
by Sararas Khongwirotphan, Sornjarod Oonsiri, Sarin Kitpanit, Anussara Prayongrat, Danita Kannarunimit, Chakkapong Chakkabat, Chawalit Lertbutsayanukul, Sira Sriswasdi, Yothin Rakvongthai Background The prognosis of nasopharyngeal carcinoma (NPC) is challenging due to late-stage identification and frequently undetectable Epstein-Barr virus (EBV) DNA. Incorporating radiomic features, which quantify tumor characteristics from imaging, may enhance prognosis assessment. Purpose To investigate the predictive power of radiomic features on overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS) in NPC. Materials and methods A retrospective analysis of 183 NPC patients treated with chemoradiotherapy from 2010 to 2019 was conducted. All patients were followed for at least three years. The pretreatment CT images with contrast medium, MR images (T1W and T2W), as well as gross tumor volume (GTV) contours, were used to extract radiomic features using PyRadiomics v.2.0. Robust and efficient radiomic features were chosen using the intraclass correlation test and univariate Cox proportional hazard regression analysis. They were then combined with clinical data including age, gender, tumor stage, and EBV DNA level for prognostic evaluation using Cox proportional hazard regression models with recursive feature elimination (RFE) and were optimized using 20 repetitions of a five-fold cross-validation scheme. Results Integrating radiomics with clinical data significantly enhanced the predictive power, yielding a C-index of 0.788 ± 0.066 to 0.848 ± 0.079 for the combined model versus 0.745 ± 0.082 to 0.766 ± 0.083 for clinical data alone (p
Læs mere
Tjek på PubMed
2
Membrane‐bound CD95 ligand modulates CD19‐mediated B cell receptor signaling and EBV activation
Mu Liu, Chenxu Huang, Xingchen Zhou, Congwei Jiang, Shuai Liu, Ying Gao, Linlin Kuang, Zhangmengxue Lei, Ran Jia, Jin Xu, Patrick Legembre, Xiaozhen Liang
Journal of Medical Virology, 2.02.2024
Tilføjet 2.02.2024