242 related articles for article (PubMed ID: 34039436)
1. 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]
2. 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]
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. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer.
Yang YS; Feng F; Qiu YJ; Zheng GH; Ge YQ; Wang YT
Abdom Radiol (NY); 2021 Mar; 46(3):873-884. PubMed ID: 32940755
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a combined nomogram for predicting perineural invasion status in rectal cancer via computed tomography-based radiomics.
Liu J; Sun L; Zhao X; Lu X
J Cancer Res Ther; 2023 Dec; 19(6):1552-1559. PubMed ID: 38156921
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
11. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy.
Wang J; Liu X; Hu B; Gao Y; Chen J; Li J
Abdom Radiol (NY); 2021 May; 46(5):1805-1815. PubMed ID: 33151359
[TBL] [Abstract][Full Text] [Related]
13. Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram.
Li H; Zhang R; Li R; Xia W; Chen X; Zhang J; Cai S; Li Y; Zhao S; Qiang J; Peng W; Gu Y; Gao X
Eur Radiol; 2021 Oct; 31(10):7855-7864. PubMed ID: 33864139
[TBL] [Abstract][Full Text] [Related]
14. [Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion].
Liu SH; Hou XY; Zhang XX; Liu GW; Xin FJ; Wang JG; Zhang DL; Wang DS; Lu Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Nov; 23(11):1059-1066. PubMed ID: 33212554
[No Abstract] [Full Text] [Related]
15. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.
Tang TY; Li X; Zhang Q; Guo CX; Zhang XZ; Lao MY; Shen YN; Xiao WB; Ying SH; Sun K; Yu RS; Gao SL; Que RS; Chen W; Huang DB; Pang PP; Bai XL; Liang TB
J Magn Reson Imaging; 2020 Jul; 52(1):231-245. PubMed ID: 31867839
[TBL] [Abstract][Full Text] [Related]
16. Preoperative Prediction of Perineural Invasion in Oesophageal Squamous Cell Carcinoma Based on CT Radiomics Nomogram: A Multicenter Study.
Zhou H; Zhou J; Qin C; Tian Q; Zhou S; Qin Y; Wu Y; Shi J; Feng F
Acad Radiol; 2024 Apr; 31(4):1355-1366. PubMed ID: 37949700
[TBL] [Abstract][Full Text] [Related]
17. Computed tomography-based radiomics nomogram for the preoperative prediction of perineural invasion in colorectal cancer: a multicentre study.
Chen Q; Cui Y; Xue T; Peng H; Li M; Zhu X; Duan S; Gu H; Feng F
Abdom Radiol (NY); 2022 Sep; 47(9):3251-3263. PubMed ID: 35960308
[TBL] [Abstract][Full Text] [Related]
18. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
[TBL] [Abstract][Full Text] [Related]
19. Development of a Novel, Multi-Parametric, MRI-Based Radiomic Nomogram for Differentiating Between Clinically Significant and Insignificant Prostate Cancer.
Zhang Y; Chen W; Yue X; Shen J; Gao C; Pang P; Cui F; Xu M
Front Oncol; 2020; 10():888. PubMed ID: 32695660
[No Abstract] [Full Text] [Related]
20. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.
Chen W; Wang S; Dong D; Gao X; Zhou K; Li J; Lv B; Li H; Wu X; Fang M; Tian J; Xu M
Front Oncol; 2019; 9():1265. PubMed ID: 31824847
[No Abstract] [Full Text] [Related]
[Next] [New Search]
