165 related articles for article (PubMed ID: 33428144)
1. Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer.
Guo XF; Yang WQ; Yang Q; Yuan ZL; Liu YL; Niu XH; Xu HB
Curr Med Sci; 2020 Dec; 40(6):1156-1160. PubMed ID: 33428144
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.
Cui Y; Liu H; Ren J; Du X; Xin L; Li D; Yang X; Wang D
Eur Radiol; 2020 Apr; 30(4):1948-1958. PubMed ID: 31942672
[TBL] [Abstract][Full Text] [Related]
3. Characterizing MRI features of rectal cancers with different KRAS status.
Xu Y; Xu Q; Ma Y; Duan J; Zhang H; Liu T; Li L; Sun H; Shi K; Xie S; Wang W
BMC Cancer; 2019 Nov; 19(1):1111. PubMed ID: 31727020
[TBL] [Abstract][Full Text] [Related]
4. Magnetic Resonance-Based Texture Analysis Differentiating KRAS Mutation Status in Rectal Cancer.
Oh JE; Kim MJ; Lee J; Hur BY; Kim B; Kim DY; Baek JY; Chang HJ; Park SC; Oh JH; Cho SA; Sohn DK
Cancer Res Treat; 2020 Jan; 52(1):51-59. PubMed ID: 31096736
[TBL] [Abstract][Full Text] [Related]
5. KRAS status predicted by pretreatment MRI radiomics was associated with lung metastasis in locally advanced rectal cancer patients.
Xiang Y; Li S; Song M; Wang H; Hu K; Wang F; Wang Z; Niu Z; Liu J; Cai Y; Li Y; Zhu X; Geng J; Zhang Y; Teng H; Wang W
BMC Med Imaging; 2023 Dec; 23(1):210. PubMed ID: 38087207
[TBL] [Abstract][Full Text] [Related]
6. Could IVIM and ADC help in predicting the KRAS status in patients with rectal cancer?
Xu Y; Xu Q; Sun H; Liu T; Shi K; Wang W
Eur Radiol; 2018 Jul; 28(7):3059-3065. PubMed ID: 29450716
[TBL] [Abstract][Full Text] [Related]
7. Prediction of KRAS Mutation in Rectal Cancer Using MRI.
Shin YR; Kim KA; Im S; Hwang SS; Kim K
Anticancer Res; 2016 Sep; 36(9):4799-804. PubMed ID: 27630331
[TBL] [Abstract][Full Text] [Related]
8. MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.
Ma X; Shen F; Jia Y; Xia Y; Li Q; Lu J
BMC Med Imaging; 2019 Nov; 19(1):86. PubMed ID: 31747902
[TBL] [Abstract][Full Text] [Related]
9. Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
Yang L; Dong D; Fang M; Zhu Y; Zang Y; Liu Z; Zhang H; Ying J; Zhao X; Tian J
Eur Radiol; 2018 May; 28(5):2058-2067. PubMed ID: 29335867
[TBL] [Abstract][Full Text] [Related]
10. A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.
Liu H; Yin H; Li J; Dong X; Zheng H; Zhang T; Yin Q; Zhang Z; Lu M; Zhang H; Wang D
J Magn Reson Imaging; 2022 Dec; 56(6):1659-1668. PubMed ID: 35587946
[TBL] [Abstract][Full Text] [Related]
11. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
12. Diffusion kurtosis imaging-derived histogram metrics for prediction of KRAS mutation in rectal adenocarcinoma: Preliminary findings.
Cui Y; Cui X; Yang X; Zhuo Z; Du X; Xin L; Yang Z; Cheng X
J Magn Reson Imaging; 2019 Sep; 50(3):930-939. PubMed ID: 30637861
[TBL] [Abstract][Full Text] [Related]
13. MRI radiomics analysis for predicting preoperative synchronous distant metastasis in patients with rectal cancer.
Liu H; Zhang C; Wang L; Luo R; Li J; Zheng H; Yin Q; Zhang Z; Duan S; Li X; Wang D
Eur Radiol; 2019 Aug; 29(8):4418-4426. PubMed ID: 30413955
[TBL] [Abstract][Full Text] [Related]
14. [Comparative Evaluation of the Value of Quantitative Parameters of Dual-energy CT and MRI for KRAS Mutation in Rectal Cancer].
Lin XQ; Han T; Jing MY; Deng LN; Zhang B; Zhou JL
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2022 Aug; 44(4):606-613. PubMed ID: 36065693
[TBL] [Abstract][Full Text] [Related]
15. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning.
Peng J; Wang W; Jin H; Qin X; Hou J; Yang Z; Shu Z
BMC Cancer; 2023 Apr; 23(1):365. PubMed ID: 37085830
[TBL] [Abstract][Full Text] [Related]
18. Preoperative prediction of perineural invasion and KRAS mutation in colon cancer using machine learning.
Li Y; Eresen A; Shangguan J; Yang J; Benson AB; Yaghmai V; Zhang Z
J Cancer Res Clin Oncol; 2020 Dec; 146(12):3165-3174. PubMed ID: 32779023
[TBL] [Abstract][Full Text] [Related]
19. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
20. MRI Radiomics Signature as a Potential Biomarker for Predicting
Zhang Z; Shen L; Wang Y; Wang J; Zhang H; Xia F; Wan J; Zhang Z
Front Oncol; 2021; 11():614052. PubMed ID: 34026605
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
