444 related articles for article (PubMed ID: 31942672)
1. 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]
2. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculous meningitis: a preliminary multicenter study.
Ma Q; Yi Y; Liu T; Wen X; Shan F; Feng F; Yan Q; Shen J; Yang G; Shi Y
Eur Radiol; 2022 Dec; 32(12):8659-8669. PubMed ID: 35748898
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study.
Liu Y; Sun BJ; Zhang C; Li B; Yu XX; Du Y
World J Gastroenterol; 2024 Apr; 30(16):2233-2248. PubMed ID: 38690027
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. Preoperative MR radiomics based on high-resolution T2-weighted images and amide proton transfer-weighted imaging for predicting lymph node metastasis in rectal adenocarcinoma.
Wei Q; Yuan W; Jia Z; Chen J; Li L; Yan Z; Liao Y; Mao L; Hu S; Liu X; Chen W
Abdom Radiol (NY); 2023 Feb; 48(2):458-470. PubMed ID: 36460837
[TBL] [Abstract][Full Text] [Related]
12. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram.
Xue T; Peng H; Chen Q; Li M; Duan S; Feng F
Br J Radiol; 2022 Jun; 95(1134):20211014. PubMed ID: 35312376
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer.
Liang C; Cheng Z; Huang Y; He L; Chen X; Ma Z; Huang X; Liang C; Liu Z
Acad Radiol; 2018 Sep; 25(9):1111-1117. PubMed ID: 29428211
[TBL] [Abstract][Full Text] [Related]
20. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
