139 related articles for article (PubMed ID: 36764010)
1. Development and external validation of a non-invasive imaging biomarker to estimate the microsatellite instability status of gastric cancer and its prognostic value: The combination of clinical and quantitative CT-imaging features.
Zhao H; Gao J; Bai B; Wang R; Yu J; Lu H; Cheng M; Liang P
Eur J Radiol; 2023 May; 162():110719. PubMed ID: 36764010
[TBL] [Abstract][Full Text] [Related]
2. A radiomics signature derived from CT imaging to predict MSI status and immunotherapy outcomes in gastric cancer: a multi-cohort study.
Zhan PC; Yang S; Liu X; Zhang YY; Wang R; Wang JX; Qiu QY; Gao Y; Lv DB; Li LM; Luo CL; Hu ZW; Li Z; Lyu PJ; Liang P; Gao JB
BMC Cancer; 2024 Apr; 24(1):404. PubMed ID: 38561648
[TBL] [Abstract][Full Text] [Related]
3. A multicenter study on the preoperative prediction of gastric cancer microsatellite instability status based on computed tomography radiomics.
Liang X; Wu Y; Liu Y; Yu D; Huang C; Li Z
Abdom Radiol (NY); 2022 Jun; 47(6):2036-2045. PubMed ID: 35391567
[TBL] [Abstract][Full Text] [Related]
4. Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.
Chen X; Zhuang Z; Pen L; Xue J; Zhu H; Zhang L; Wang D
Abdom Radiol (NY); 2024 May; 49(5):1363-1375. PubMed ID: 38305796
[TBL] [Abstract][Full Text] [Related]
5. 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]
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. 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]
8. 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]
9. 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]
10. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant).
Huang Z; Zhang W; He D; Cui X; Tian S; Yin H; Song B
Medicine (Baltimore); 2020 Mar; 99(10):e19428. PubMed ID: 32150094
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Magnetic resonance-based radiomics nomogram for predicting microsatellite instability status in endometrial cancer.
Lin Z; Wang T; Li H; Xiao M; Ma X; Gu Y; Qiang J
Quant Imaging Med Surg; 2023 Jan; 13(1):108-120. PubMed ID: 36620141
[TBL] [Abstract][Full Text] [Related]
14. Dual-layer spectral-detector CT for predicting microsatellite instability status and prognosis in locally advanced gastric cancer.
Zhu Y; Wang P; Wang B; Jiang Z; Li Y; Jiang J; Zhong Y; Xue L; Jiang L
Insights Imaging; 2023 Sep; 14(1):151. PubMed ID: 37726599
[TBL] [Abstract][Full Text] [Related]
15. Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer.
Song XL; Luo HJ; Ren JL; Yin P; Liu Y; Niu J; Hong N
Radiol Med; 2023 Feb; 128(2):242-251. PubMed ID: 36656410
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer.
Zhang W; Huang Z; Zhao J; He D; Li M; Yin H; Tian S; Zhang H; Song B
Ann Transl Med; 2021 Jan; 9(2):134. PubMed ID: 33569436
[TBL] [Abstract][Full Text] [Related]
17. Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study.
Chen X; Yang Z; Yang J; Liao Y; Pang P; Fan W; Chen X
Cancer Imaging; 2020 Apr; 20(1):24. PubMed ID: 32248822
[TBL] [Abstract][Full Text] [Related]
18. A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics.
Jiang Z; Xie W; Zhou X; Pan W; Jiang S; Zhang X; Zhang M; Zhang Z; Lu Y; Wang D
Insights Imaging; 2023 Jun; 14(1):104. PubMed ID: 37286810
[TBL] [Abstract][Full Text] [Related]
19. A Multi-cohort Study of the Prognostic Significance of Microsatellite Instability or Mismatch Repair Status after Recurrence of Resectable Gastric Cancer.
An JY; Choi YY; Lee J; Hyung WJ; Kim KM; Noh SH; Choi MG; Cheong JH
Cancer Res Treat; 2020 Oct; 52(4):1153-1161. PubMed ID: 32599987
[TBL] [Abstract][Full Text] [Related]
20. 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; 9():1250. PubMed ID: 31824843
[No Abstract] [Full Text] [Related]
[Next] [New Search]
