203 related articles for article (PubMed ID: 37154930)
1. A novel staging system based on deep learning for overall survival in patients with esophageal squamous cell carcinoma.
Zhang H; Jiang X; Yu Q; Yu H; Xu C
J Cancer Res Clin Oncol; 2023 Sep; 149(11):8935-8944. PubMed ID: 37154930
[TBL] [Abstract][Full Text] [Related]
2. The development of a prediction model based on deep learning for prognosis prediction of gastrointestinal stromal tumor: a SEER-based study.
Zeng J; Li K; Cao F; Zheng Y
Sci Rep; 2024 Mar; 14(1):6609. PubMed ID: 38504089
[TBL] [Abstract][Full Text] [Related]
3. Development of a Survival Nomogram for Esophageal Squamous Cell Carcinoma Patients: a Population-Based Analysis.
Lu G; Fang W; Lin Y; Huang H
J Gastrointest Cancer; 2024 Mar; 55(1):391-401. PubMed ID: 37804459
[TBL] [Abstract][Full Text] [Related]
4. Deep learning models for predicting the survival of patients with hepatocellular carcinoma based on a surveillance, epidemiology, and end results (SEER) database analysis.
Wang S; Shao M; Fu Y; Zhao R; Xing Y; Zhang L; Xu Y
Sci Rep; 2024 Jun; 14(1):13232. PubMed ID: 38853169
[TBL] [Abstract][Full Text] [Related]
5. Predictive potential of preoperative Naples prognostic score-based nomogram model for the prognosis in surgical resected thoracic esophageal squamous cell carcinoma patients: A retrospective cohort study.
Guo XW; Ji L; Xi XX; Zhao WW; Liu YC; Zhou SB; Ji SJ
Medicine (Baltimore); 2024 May; 103(18):e38038. PubMed ID: 38701277
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis.
Yu J; Hu W; Yao N; Sun M; Li X; Wang L; Yang Y; Li B
Transl Oncol; 2021 Aug; 14(8):101127. PubMed ID: 34020370
[TBL] [Abstract][Full Text] [Related]
7. The Prognostic Significance of Nomogram-Based Pretreatment Inflammatory Indicators in Patients With Esophageal Squamous Cell Carcinoma Receiving Intensity-Modulated Radiotherapy.
Xu Z; Ke H; Zheng B; Lin C; Zhang Y; Wang L; Lin Y; Ye Y; Cai L; You M; Chen J; Xu Y
Cancer Control; 2023; 30():10732748231185025. PubMed ID: 37339928
[TBL] [Abstract][Full Text] [Related]
8. [Establishment and validation of a novel nomogram to predict overall survival after radical nephrectomy].
Xiong LB; Zou XP; Ning K; Luo X; Peng YL; Zhou ZH; Wang J; Li Z; Yu CP; Dong P; Guo SJ; Han H; Zhou FJ; Zhang ZL
Zhonghua Zhong Liu Za Zhi; 2023 Aug; 45(8):681-689. PubMed ID: 37580273
[No Abstract] [Full Text] [Related]
9. Prognostic nomogram and risk factors for predicting survival in patients with pT2N0M0 esophageal squamous carcinoma.
Kang M; Wang Y; Yang M; Wang X; Zhu L; Zhang M
Sci Rep; 2023 Mar; 13(1):4931. PubMed ID: 36967413
[TBL] [Abstract][Full Text] [Related]
10. Increased prognostic value of clinical-reproductive model in Chinese female patients with esophageal squamous cell carcinoma.
Zhang DY; Ku JW; Zhao XK; Zhang HY; Song X; Wu HF; Fan ZM; Xu RH; You D; Wang R; Zhou RX; Wang LD
World J Gastroenterol; 2022 Apr; 28(13):1347-1361. PubMed ID: 35645543
[TBL] [Abstract][Full Text] [Related]
11. Nomogram for prognosis of patients with esophageal squamous cell cancer after minimally invasive esophagectomy established based on non-textbook outcome.
Xu SJ; Lin LQ; Chen TY; You CX; Chen C; Chen RQ; Chen SC
Surg Endosc; 2022 Nov; 36(11):8326-8339. PubMed ID: 35556169
[TBL] [Abstract][Full Text] [Related]
12. A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.
Luo J; Diao B; Wang J; Yin K; Guo S; Hong C; Guo Y
J Cancer Res Clin Oncol; 2023 Sep; 149(12):10423-10433. PubMed ID: 37277578
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of a new clinical staging system to predict survival for esophageal squamous cell carcinoma patients: Application of the nomogram.
Shao CY; Liu XL; Yao S; Li ZJ; Cong ZZ; Luo J; Dong GH; Yi J
Eur J Surg Oncol; 2021 Jun; 47(6):1473-1480. PubMed ID: 33349524
[TBL] [Abstract][Full Text] [Related]
14. A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging.
Li X; Xu J; Zhu L; Yang S; Yu L; Lv W; Hu J
Cancer Med; 2021 Jul; 10(13):4228-4239. PubMed ID: 34128338
[TBL] [Abstract][Full Text] [Related]
15. Comparison of clinicopathological features and survival analysis between esophageal neuroendocrine carcinoma and esophageal squamous cell carcinoma based on the SEER database, alongside nomogram analysis for esophageal neuroendocrine carcinoma.
Lin Z; Chen YY; Liu CH; Panzuto F; Ramirez RA; Lang M; Kim H; Ding ZY
J Gastrointest Oncol; 2023 Dec; 14(6):2309-2323. PubMed ID: 38196527
[TBL] [Abstract][Full Text] [Related]
16. A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.
Nie P; Yang G; Wang Y; Xu Y; Yan L; Zhang M; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Wang N; Duan S; Wang X; Wang Z
Eur Radiol; 2023 Dec; 33(12):8858-8868. PubMed ID: 37389608
[TBL] [Abstract][Full Text] [Related]
17. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A web-based predictive model for overall survival of patients with cutaneous Merkel cell carcinoma: A population-based study.
Xu W; Le Y; Zhang J
Front Endocrinol (Lausanne); 2022; 13():1038181. PubMed ID: 36506062
[TBL] [Abstract][Full Text] [Related]
20. A Nutrition and Inflammation-Related Nomogram to Predict Overall Survival in Surgically Resected Esophageal Squamous Cell Carcinoma (ESCC) Patients.
Li J; Mei X; Sun D; Guo M; Xie M; Chen X
Nutr Cancer; 2022; 74(5):1625-1635. PubMed ID: 34369223
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
