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Journal Abstract Search
239 related items for PubMed ID: 38678222
1. Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram. Zhang R, Jia S, Zhai L, Wu F, Zhang S, Li F. BMC Med Imaging; 2024 Apr 27; 24(1):98. PubMed ID: 38678222 [Abstract] [Full Text] [Related]
2. Multi-Sequence and Multi-Regional MRI-Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer. Zhang L, Li X, Yang L, Tang Y, Guo J, Li D, Li S, Li Y, Wang L, Lei Y, Qiao H, Yang G, Wang X. J Magn Reson Imaging; 2023 Jul 27; 58(1):258-269. PubMed ID: 36300676 [Abstract] [Full Text] [Related]
5. Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging. Hu M, Wei W, Zhang J, Wang S, Tong X, Fan Y, Cheng Q, Liu Y, Li J, Liu L. BMC Med Imaging; 2024 Sep 16; 24(1):245. PubMed ID: 39285354 [Abstract] [Full Text] [Related]
6. Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancer. Li S, Fan Z, Guo J, Li D, Chen Z, Zhang X, Wang Y, Li Y, Yang G, Wang X. BMC Med Imaging; 2024 Jun 17; 24(1):148. PubMed ID: 38886638 [Abstract] [Full Text] [Related]
19. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer. Luo HS, Huang SF, Xu HY, Li XY, Wu SX, Wu DH. Radiat Oncol; 2020 Oct 29; 15(1):249. PubMed ID: 33121507 [Abstract] [Full Text] [Related]