159 related articles for article (PubMed ID: 38566000)
1. 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; 24(1):77. PubMed ID: 38566000
[TBL] [Abstract][Full Text] [Related]
2. 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; 22(1):524. PubMed ID: 35534797
[TBL] [Abstract][Full Text] [Related]
3. 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; 32(1):714-724. PubMed ID: 34258636
[TBL] [Abstract][Full Text] [Related]
4. 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; 49(3):783-790. PubMed ID: 38001326
[TBL] [Abstract][Full Text] [Related]
5. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
6. Non-invasive prediction of microsatellite instability in colorectal cancer by a genetic algorithm-enhanced artificial neural network-based CT radiomics signature.
Chen X; He L; Li Q; Liu L; Li S; Zhang Y; Liu Z; Huang Y; Mao Y; Chen X
Eur Radiol; 2023 Jan; 33(1):11-22. PubMed ID: 35771245
[TBL] [Abstract][Full Text] [Related]
7. Predicting Microsatellite Instability Status in Colorectal Cancer Based on Triphasic Enhanced Computed Tomography Radiomics Signatures: A Multicenter Study.
Cao Y; Zhang G; Zhang J; Yang Y; Ren J; Yan X; Wang Z; Zhao Z; Huang X; Bao H; Zhou J
Front Oncol; 2021; 11():687771. PubMed ID: 34178682
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a novel radiomics nomogram for prediction of early recurrence in colorectal cancer.
Xie Z; Zhang Q; Wang X; Chen Y; Deng Y; Lin H; Wu J; Huang X; Xu Z; Chi P
Eur J Surg Oncol; 2023 Dec; 49(12):107118. PubMed ID: 37844471
[TBL] [Abstract][Full Text] [Related]
9. Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics.
Cao Y; Zhang J; Huang L; Zhao Z; Zhang G; Ren J; Li H; Zhang H; Guo B; Wang Z; Xing Y; Zhou J
Jpn J Radiol; 2023 Nov; 41(11):1236-1246. PubMed ID: 37311935
[TBL] [Abstract][Full Text] [Related]
10. Predicting Kirsten Rat Sarcoma Virus Gene Mutation Status in Patients With Colorectal Cancer by Radiomics Models Based on Multiphasic CT.
Hu J; Xia X; Wang P; Peng Y; Liu J; Xie X; Liao Y; Wan Q; Li X
Front Oncol; 2022; 12():848798. PubMed ID: 35814386
[TBL] [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; 78(10):e741-e751. PubMed ID: 37487841
[TBL] [Abstract][Full Text] [Related]
12. Multi-Phase CT-Based Radiomics Nomogram for Discrimination Between Pancreatic Serous Cystic Neoplasm From Mucinous Cystic Neoplasm.
Gao J; Han F; Wang X; Duan S; Zhang J
Front Oncol; 2021; 11():699812. PubMed ID: 34926238
[TBL] [Abstract][Full Text] [Related]
13. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
[TBL] [Abstract][Full Text] [Related]
14. Computed tomography-based radiomics nomogram for the pre-operative prediction of BRAF mutation and clinical outcomes in patients with colorectal cancer: a double-center study.
Li M; Xu G; Zhou H; Chen Q; Fan Q; Shi J; Duan S; Cui Y; Feng F
Br J Radiol; 2023 Aug; 96(1148):20230019. PubMed ID: 37195006
[TBL] [Abstract][Full Text] [Related]
15. CT-based radiomics nomogram for the pre-operative prediction of lymphovascular invasion in colorectal cancer: a multicenter study.
Li M; Gu H; Xue T; Peng H; Chen Q; Zhu X; Duan S; Feng F
Br J Radiol; 2023 Jan; 96(1141):20220568. PubMed ID: 36318241
[TBL] [Abstract][Full Text] [Related]
16. A radiomics model fusing clinical features to predict microsatellite status preoperatively in colorectal cancer liver metastasis.
Wang X; Liu Z; Yin X; Yang C; Zhang J
BMC Gastroenterol; 2023 Sep; 23(1):308. PubMed ID: 37700238
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a multiphase CT radiomics nomogram for the preoperative prediction of lymphovascular invasion in patients with gastric cancer.
Guo Q; Sun Q; Bian X; Wang M; Dong H; Yin H; Dai X; Fan G; Chen G
Clin Radiol; 2023 Aug; 78(8):e552-e559. PubMed ID: 37117048
[TBL] [Abstract][Full Text] [Related]
18. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
[TBL] [Abstract][Full Text] [Related]
19. Clinico-Radiologic Nomogram Using Multiphase CT to Predict Lymph Node Metastasis in Colon Cancer.
Cheng Y; Yu Q; Meng W; Jiang W
Mol Imaging Biol; 2022 Oct; 24(5):798-806. PubMed ID: 35419770
[TBL] [Abstract][Full Text] [Related]
20. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.
Li J; Dong D; Fang M; Wang R; Tian J; Li H; Gao J
Eur Radiol; 2020 Apr; 30(4):2324-2333. PubMed ID: 31953668
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]