180 related articles for article (PubMed ID: 38690027)
1. 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]
2. 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]
3. Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer.
Chen J; Chen Y; Zheng D; Pang P; Zhang H; Zheng X; Liao J
Abdom Radiol (NY); 2021 Mar; 46(3):847-857. PubMed ID: 32870349
[TBL] [Abstract][Full Text] [Related]
4. Radiomics for predicting perineural invasion status in rectal cancer.
Li M; Jin YM; Zhang YC; Zhao YL; Huang CC; Liu SM; Song B
World J Gastroenterol; 2021 Sep; 27(33):5610-5621. PubMed ID: 34588755
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. High resolution MRI-based radiomic nomogram in predicting perineural invasion in rectal cancer.
Yang YS; Qiu YJ; Zheng GH; Gong HP; Ge YQ; Zhang YF; Feng F; Wang YT
Cancer Imaging; 2021 May; 21(1):40. PubMed ID: 34039436
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
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. Development of a joint prediction model based on both the radiomics and clinical factors for preoperative prediction of circumferential resection margin in middle-low rectal cancer using T2WI images.
Ju Y; Zheng L; Qi W; Tian G; Lu Y
Med Phys; 2024 Apr; 51(4):2563-2577. PubMed ID: 37987563
[TBL] [Abstract][Full Text] [Related]
12. Preoperative prediction of perineural invasion with multi-modality radiomics in rectal cancer.
Guo Y; Wang Q; Guo Y; Zhang Y; Fu Y; Zhang H
Sci Rep; 2021 May; 11(1):9429. PubMed ID: 33941817
[TBL] [Abstract][Full Text] [Related]
13. A clinical-radiomics model incorporating T2-weighted and diffusion-weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer.
Zhang K; Ren Y; Xu S; Lu W; Xie S; Qu J; Wang X; Shen B; Pang P; Cai X; Sun J
Med Phys; 2021 Sep; 48(9):4872-4882. PubMed ID: 34042185
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
[TBL] [Abstract][Full Text] [Related]
16. Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.
Hou M; Zhou L; Sun J
Eur Radiol; 2023 Jan; 33(1):1-10. PubMed ID: 35726100
[TBL] [Abstract][Full Text] [Related]
17. Radiomics model based on multi-sequence MR images for predicting preoperative immunoscore in rectal cancer.
Xue K; Liu L; Liu Y; Guo Y; Zhu Y; Zhang M
Radiol Med; 2022 Jul; 127(7):702-713. PubMed ID: 35829980
[TBL] [Abstract][Full Text] [Related]
18. [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]
19. 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]
20. 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]
[Next] [New Search]
