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Journal Abstract Search
1496 related items for PubMed ID: 35534797
1. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer. Ying M, Pan J, Lu G, Zhou S, Fu J, Wang Q, Wang L, Hu B, Wei Y, Shen J. BMC Cancer; 2022 May 09; 22(1):524. PubMed ID: 35534797 [Abstract] [Full Text] [Related]
2. Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer. Pei Q, Yi X, Chen C, Pang P, Fu Y, Lei G, Chen C, Tan F, Gong G, Li Q, Zai H, Chen BT. Eur Radiol; 2022 Jan 09; 32(1):714-724. PubMed ID: 34258636 [Abstract] [Full Text] [Related]
3. Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model. Bian X, Sun Q, Wang M, Dong H, Dai X, Zhang L, Fan G, Chen G. BMC Med Imaging; 2024 Apr 02; 24(1):77. PubMed ID: 38566000 [Abstract] [Full Text] [Related]
4. Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal Cancer. Wu J, Zhang Q, Zhao Y, Liu Y, Chen A, Li X, Wu T, Li J, Guo Y, Liu A. Front Oncol; 2019 Apr 02; 9():1250. PubMed ID: 31824843 [Abstract] [Full Text] [Related]
5. An integrative clinical and CT-based tumoral/peritumoral radiomics nomogram to predict the microsatellite instability in rectal carcinoma. Ma Y, Xu X, Lin Y, Li J, Yuan H. Abdom Radiol (NY); 2024 Mar 02; 49(3):783-790. PubMed ID: 38001326 [Abstract] [Full Text] [Related]
6. A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer. Li M, Zhang J, Dan Y, Yao Y, Dai W, Cai G, Yang G, Tong T. J Transl Med; 2020 Jan 30; 18(1):46. PubMed ID: 32000813 [Abstract] [Full Text] [Related]
11. CT-based radiomics nomogram for the preoperative prediction of microsatellite instability and clinical outcomes in colorectal cancer: a multicentre study. Li M, Xu G, Cui Y, Wang M, Wang H, Xu X, Duan S, Shi J, Feng F. Clin Radiol; 2023 Oct 30; 78(10):e741-e751. PubMed ID: 37487841 [Abstract] [Full Text] [Related]
12. Development and validation of a CT radiomics and clinical feature model to predict omental metastases for locally advanced gastric cancer. Wu A, Wu C, Zeng Q, Cao Y, Shu X, Luo L, Feng Z, Tu Y, Jie Z, Zhu Y, Zhou F, Huang Y, Li Z. Sci Rep; 2023 May 25; 13(1):8442. PubMed ID: 37231100 [Abstract] [Full Text] [Related]
14. A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules. Hu T, Wang S, Huang L, Wang J, Shi D, Li Y, Tong T, Peng W. Eur Radiol; 2019 Jan 25; 29(1):439-449. PubMed ID: 29948074 [Abstract] [Full Text] [Related]
18. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram. Liu A, Wang Z, Yang Y, Wang J, Dai X, Wang L, Lu Y, Xue F. Cancer Commun (Lond); 2020 Jan 25; 40(1):16-24. PubMed ID: 32125097 [Abstract] [Full Text] [Related]
19. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study. Li Q, Song Z, Li X, Zhang D, Yu J, Li Z, Huang J, Su K, Liu Q, Zhang X, Tang Z. Eur Radiol; 2024 May 25; 34(5):2934-2943. PubMed ID: 37938382 [Abstract] [Full Text] [Related]