249 related articles for article (PubMed ID: 37064100)
1. CT radiomics nomogram predicts pathological response after induced chemotherapy and overall survival in patients with advanced laryngeal cancer: A single-center retrospective study.
Kang C; Sun P; Yang R; Zhang C; Ning W; Liu H
Front Oncol; 2023; 13():1094768. PubMed ID: 37064100
[TBL] [Abstract][Full Text] [Related]
2. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a Radiomics Nomogram Based on
Yang B; Zhong J; Zhong J; Ma L; Li A; Ji H; Zhou C; Duan S; Wang Q; Zhu C; Tian J; Zhang L; Wang F; Zhu H; Lu G
Front Oncol; 2020; 10():1042. PubMed ID: 32766134
[No Abstract] [Full Text] [Related]
4. Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer.
Jain P; Khorrami M; Gupta A; Rajiah P; Bera K; Viswanathan VS; Fu P; Dowlati A; Madabhushi A
Front Oncol; 2021; 11():744724. PubMed ID: 34745966
[TBL] [Abstract][Full Text] [Related]
5. Radiomics nomogram for predicting disease-free survival after partial resection or radical cystectomy in patients with bladder cancer.
Cai Q; Huang Y; Ling J; Kong L; Lin Y; Chen Y; Cao W; Liao Y; Guo Y; Guan J; Wang H
Br J Radiol; 2024 Jan; 97(1153):201-209. PubMed ID: 38263836
[TBL] [Abstract][Full Text] [Related]
6. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
7. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
[TBL] [Abstract][Full Text] [Related]
8. Value of
Yang B; Ji H; Zhong J; Ma L; Zhong J; Dong H; Zhou C; Duan S; Zhu C; Tian J; Zhang L; Wang F; Zhu H; Lu G
Front Oncol; 2020; 10():567160. PubMed ID: 33262942
[TBL] [Abstract][Full Text] [Related]
9. CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapy.
Cui J; Zhang D; Gao Y; Duan J; Wang L; Li L; Yuan S
Insights Imaging; 2024 Mar; 15(1):87. PubMed ID: 38523188
[TBL] [Abstract][Full Text] [Related]
10. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.
Fang S; Lai L; Zhu J; Zheng L; Xu Y; Chen W; Wu F; Wu X; Chen M; Weng Q; Ji J; Zhao Z; Tu J
Front Mol Biosci; 2021; 8():662366. PubMed ID: 34532340
[No Abstract] [Full Text] [Related]
11. Establishment and verification of a prediction model based on clinical characteristics and computed tomography radiomics parameters for distinguishing benign and malignant pulmonary nodules.
Hou X; Wu M; Chen J; Zhang R; Wang Y; Zhang S; Yuan Z; Feng J; Xu L
J Thorac Dis; 2024 Mar; 16(3):1984-1995. PubMed ID: 38617763
[TBL] [Abstract][Full Text] [Related]
12. 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]
13.
Xue XQ; Yu WJ; Shi X; Shao XL; Wang YT
Front Oncol; 2022; 12():911168. PubMed ID: 36003788
[TBL] [Abstract][Full Text] [Related]
14. Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma.
Yan L; Yang G; Cui J; Miao W; Wang Y; Zhao Y; Wang N; Gong A; Guo N; Nie P; Wang Z
Front Oncol; 2021; 11():671420. PubMed ID: 34249712
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of an
Huang J; Li T; Tang L; Hu Y; Hu Y; Gu Y
Acad Radiol; 2024 Jun; ():. PubMed ID: 38845294
[TBL] [Abstract][Full Text] [Related]
16. Radiomic signatures based on pretreatment 18F-FDG PET/CT, combined with clinicopathological characteristics, as early prognostic biomarkers among patients with invasive breast cancer.
Jia T; Lv Q; Cai X; Ge S; Sang S; Zhang B; Yu C; Deng S
Front Oncol; 2023; 13():1210125. PubMed ID: 37576897
[TBL] [Abstract][Full Text] [Related]
17. Radiomics-clinical nomogram based on pretreatment 18F-FDG PET-CT radiomics features for individualized prediction of local failure in nasopharyngeal carcinoma.
Ding J; Li Z; Lin Y; Huang C; Chen J; Hong J; Fei Z; Zhou Q; Chen C
Sci Rep; 2023 Oct; 13(1):18167. PubMed ID: 37875498
[TBL] [Abstract][Full Text] [Related]
18. CT-Based Radiomics Signature: A Potential Biomarker for Predicting Postoperative Recurrence Risk in Stage II Colorectal Cancer.
Fan S; Cui X; Liu C; Li X; Zheng L; Song Q; Qi J; Ma W; Ye Z
Front Oncol; 2021; 11():644933. PubMed ID: 33816297
[No Abstract] [Full Text] [Related]
19. Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection.
Xie T; Wang X; Li M; Tong T; Yu X; Zhou Z
Eur Radiol; 2020 May; 30(5):2513-2524. PubMed ID: 32006171
[TBL] [Abstract][Full Text] [Related]
20. The value of
Ma J; Guo D; Miao W; Wang Y; Yan L; Wu F; Zhang C; Zhang R; Zuo P; Yang G; Wang Z
Abdom Radiol (NY); 2022 Apr; 47(4):1244-1254. PubMed ID: 35218381
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]