147 related articles for article (PubMed ID: 38783014)
1. A combinatorial MRI sequence-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer.
Xing X; Li D; Peng J; Shu Z; Zhang Y; Song Q
Sci Rep; 2024 May; 14(1):11760. PubMed ID: 38783014
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. [Radiomics-based prediction of microsatellite instability in stage Ⅱ and Ⅲ rectal cancer patients based on T2WI MRI and diffusion-weighted imaging].
Xiang S; Zheng LB; Zhu L; Gao Y; Wang DS; Liu SL; Zhang S; Wang TY; Lu Y
Zhonghua Wai Ke Za Zhi; 2023 Sep; 61(9):782-787. PubMed ID: 37491171
[No Abstract] [Full Text] [Related]
6. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
Zhang Y; Peng J; Liu J; Ma Y; Shu Z
Front Oncol; 2022; 12():828904. PubMed ID: 35480114
[TBL] [Abstract][Full Text] [Related]
7. Radiomics based on T2-weighted and diffusion-weighted MR imaging for preoperative prediction of tumor deposits in rectal cancer.
Sun Z; Xia F; Lv W; Li J; Zou Y; Wu J
Am J Surg; 2024 Jun; 232():59-67. PubMed ID: 38272767
[TBL] [Abstract][Full Text] [Related]
8. Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics.
Zhang Y; Liu J; Wu C; Peng J; Wei Y; Cui S
Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673079
[No Abstract] [Full Text] [Related]
9. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
Tong P; Sun D; Chen G; Ni J; Li Y
BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
[TBL] [Abstract][Full Text] [Related]
10. Preoperative detection of lymphovascular invasion in rectal cancer using intravoxel incoherent motion imaging based on radiomics.
Wong C; Liu T; Zhang C; Li M; Zhang H; Wang Q; Fu Y
Med Phys; 2024 Jan; 51(1):179-191. PubMed ID: 37929807
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
[TBL] [Abstract][Full Text] [Related]
13. [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]
14. 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]
15. 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]
16. 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]
17. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
[No Abstract] [Full Text] [Related]
18. Radiomics analysis of multiparametric MRI for preoperative prediction of microsatellite instability status in endometrial cancer: a dual-center study.
Jia Y; Hou L; Zhao J; Ren J; Li D; Li H; Cui Y
Front Oncol; 2024; 14():1333020. PubMed ID: 38347846
[TBL] [Abstract][Full Text] [Related]
19. Preoperative Noninvasive Evaluation of Tumor Budding in Rectal Cancer Using Multiparameter MRI Radiomics.
Peng L; Wang D; Zhuang Z; Chen X; Xue J; Zhu H; Zhang L
Acad Radiol; 2023 Dec; ():. PubMed ID: 38135624
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]