156 related articles for article (PubMed ID: 37872687)
1. Prediction of Prognosis of Tongue Squamous Cell Carcinoma Based on Clinical MR Imaging Data Modeling.
Liu J; Song L; Zhou J; Yu M; Hu Y; Zhang J; Song P; Ye Y; Wang J; Feng G; Guo H; An P
Technol Cancer Res Treat; 2023; 22():15330338231207006. PubMed ID: 37872687
[No Abstract] [Full Text] [Related]
2. [Establishment and verification of a prognostic nomogram for survival of tongue squamous cell carcinoma patients who underwent cervical dissection].
Su J; Wang X; Sun Z
Beijing Da Xue Xue Bao Yi Xue Ban; 2024 Feb; 56(1):120-130. PubMed ID: 38318906
[TBL] [Abstract][Full Text] [Related]
3. Predicting Model of Biochemical Recurrence of Prostate Carcinoma (PCa-BCR) Using MR Perfusion-Weighted Imaging-Based Radiomics.
An P; Lin Y; Hu Y; Qin P; Ye Y; Gu W; Li X; Song P; Feng G
Technol Cancer Res Treat; 2023; 22():15330338231166766. PubMed ID: 37016971
[TBL] [Abstract][Full Text] [Related]
4. Prognostic modeling for nasopharyngeal carcinoma (NC) undergoing concurrent chemoradiotherapy using clinical and enhanced MRI-Delta radiomics data: A preliminary study.
Wang Q; An P; Song L; Liu J; Liu J
Technol Health Care; 2024 Feb; ():. PubMed ID: 38517817
[TBL] [Abstract][Full Text] [Related]
5. Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images.
Yu B; Huang C; Xu J; Liu S; Guan Y; Li T; Zheng X; Ding J
BMC Oral Health; 2021 Nov; 21(1):585. PubMed ID: 34798867
[TBL] [Abstract][Full Text] [Related]
6. Prediction of High-Risk Gastrointestinal Stromal Tumor Recurrence Based on Delta-CT Radiomics Modeling: A 3-Year Follow-up Study After Surgery.
Ji X; Shang Y; Tan L; Hu Y; Liu J; Song L; Zhang J; Wang J; Ye Y; Zhang H; Peng T; An P
Clin Med Insights Oncol; 2024; 18():11795549241245698. PubMed ID: 38628841
[TBL] [Abstract][Full Text] [Related]
7. Magnetic Resonance Imaging-Based Radiomics Features Associated with Depth of Invasion Predicted Lymph Node Metastasis and Prognosis in Tongue Cancer.
Wang F; Tan R; Feng K; Hu J; Zhuang Z; Wang C; Hou J; Liu X
J Magn Reson Imaging; 2022 Jul; 56(1):196-209. PubMed ID: 34888985
[TBL] [Abstract][Full Text] [Related]
8. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
Li H; Chen XL; Liu H; Lu T; Li ZL
Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
[TBL] [Abstract][Full Text] [Related]
9. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
[TBL] [Abstract][Full Text] [Related]
10. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
11. Construction and application of dynamic online nomogram for prognosis prediction of patients with advanced (Stage III/IV) tongue squamous cell carcinoma.
Qin Z; Hu Z; Huang B; Wang F; Pan H; He X; Yin L
J Stomatol Oral Maxillofac Surg; 2023 Oct; 124(5):101477. PubMed ID: 37080357
[TBL] [Abstract][Full Text] [Related]
12. Construction and validation of a prognostic model for tongue cancer based on three genes signature.
Tan H; Huang H; Yang H; Qian J; Wei L; Liu W
Medicine (Baltimore); 2023 Nov; 102(46):e36097. PubMed ID: 37986320
[TBL] [Abstract][Full Text] [Related]
13. Nomogram Based on Systemic Immune-Inflammation Index to Predict Survival of Tongue Cancer Patients Who Underwent Cervical Dissection.
Lu Z; Yan W; Liang J; Yu M; Liu J; Hao J; Wan Q; Liu J; Luo C; Chen Y
Front Oncol; 2020; 10():341. PubMed ID: 32219070
[No Abstract] [Full Text] [Related]
14. [The value of a nomogram based on clinical data and contrast enhanced CT radiomics in the preoperative prediction of Epstein-Barr virus-associated gastric carcinoma].
Geng L; Zong RL; Wang WT; Zhao HL; Huan YM; Liu ZX; Meng YK; Xu K
Zhonghua Yi Xue Za Zhi; 2022 Oct; 102(37):2956-2962. PubMed ID: 36207872
[No Abstract] [Full Text] [Related]
15. A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma.
Wei LF; Huang XC; Lin YW; Luo Y; Ding TY; Liu CT; Chu LY; Xu YW; Peng YH; Guo HP
Technol Cancer Res Treat; 2021; 20():15330338211043048. PubMed ID: 34866500
[No Abstract] [Full Text] [Related]
16. Radiomics nomogram for prediction of glypican-3 positive hepatocellular carcinoma based on hepatobiliary phase imaging.
Zhang N; Wu M; Zhou Y; Yu C; Shi D; Wang C; Gao M; Lv Y; Zhu S
Front Oncol; 2023; 13():1209814. PubMed ID: 37841420
[TBL] [Abstract][Full Text] [Related]
17. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
Front Oncol; 2021; 11():740776. PubMed ID: 34790570
[TBL] [Abstract][Full Text] [Related]
18. Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram.
Cheng D; Abudikeranmu Y; Tuerdi B
Curr Med Imaging; 2023; 19(9):1005-1017. PubMed ID: 36411581
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
Chen Z; Yi L; Peng Z; Zhou J; Zhang Z; Tao Y; Lin Z; He A; Jin M; Zuo M
Front Oncol; 2022; 12():949111. PubMed ID: 36505773
[TBL] [Abstract][Full Text] [Related]
20. An MRI-based radiomics-clinical nomogram for the overall survival prediction in patients with hypopharyngeal squamous cell carcinoma: a multi-cohort study.
Chen J; Lu S; Mao Y; Tan L; Li G; Gao Y; Tan P; Huang D; Zhang X; Qiu Y; Liu Y
Eur Radiol; 2022 Mar; 32(3):1548-1557. PubMed ID: 34665315
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
