These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 38480505)

  • 1. The role of spleen radiomics model for predicting prognosis in esophageal squamous cell carcinoma patients receiving definitive radiotherapy.
    Guo L; Liu A; Geng X; Zhao Z; Nie Y; Wang L; Liu D; Li Y; Li Y; Li D; Wang Q; Li Z; Liu X; Li M
    Thorac Cancer; 2024 Apr; 15(12):947-964. PubMed ID: 38480505
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A nomogram based on pretreatment radiomics and dosiomics features for predicting overall survival associated with esophageal squamous cell cancer.
    Kawahara D; Nishioka R; Murakami Y; Emoto Y; Iwashita K; Sasaki R
    Eur J Surg Oncol; 2024 Jul; 50(7):108450. PubMed ID: 38843660
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CT-based delta-radiomics nomogram to predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma patients.
    Fan L; Yang Z; Chang M; Chen Z; Wen Q
    J Transl Med; 2024 Jun; 22(1):579. PubMed ID: 38890720
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study.
    Tang B; Wu F; Peng L; Leng X; Han Y; Wang Q; Wu J; Orlandini LC
    Cancer Imaging; 2024 Oct; 24(1):131. PubMed ID: 39367492
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma.
    Peng H; Yang Q; Xue T; Chen Q; Li M; Duan S; Cai B; Feng F
    Br J Radiol; 2022 Feb; 95(1130):20210918. PubMed ID: 34908477
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma.
    Wang JL; Tang LS; Zhong X; Wang Y; Feng YJ; Zhang Y; Liu JY
    Front Immunol; 2024; 15():1405146. PubMed ID: 38947338
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?
    Li Y; Gu X; Yang L; Wang X; Wang Q; Xu X; Zhang A; Yue M; Wang M; Cong M; Ren J; Ren W; Shi G
    Cancer Imaging; 2024 Oct; 24(1):141. PubMed ID: 39420415
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy.
    Cui J; Li L; Liu N; Hou W; Dong Y; Yang F; Zhu S; Li J; Yuan S
    Biomark Res; 2023 Apr; 11(1):44. PubMed ID: 37095586
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures.
    Cui Y; Li Z; Xiang M; Han D; Yin Y; Ma C
    Radiat Oncol; 2022 Dec; 17(1):212. PubMed ID: 36575480
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of a radiomics-based model to predict local progression-free survival after chemo-radiotherapy in patients with esophageal squamous cell cancer.
    Luo HS; Chen YY; Huang WZ; Wu SX; Huang SF; Xu HY; Xue RL; Du ZS; Li XY; Lin LX; Huang HC
    Radiat Oncol; 2021 Oct; 16(1):201. PubMed ID: 34641928
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.
    Lu S; Wang C; Liu Y; Chu F; Jia Z; Zhang H; Wang Z; Lu Y; Wang S; Yang G; Qu J
    Eur Radiol; 2024 Jan; 34(1):485-494. PubMed ID: 37540319
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A multicenter study.
    Gong J; Zhang W; Huang W; Liao Y; Yin Y; Shi M; Qin W; Zhao L
    Radiother Oncol; 2022 Sep; 174():8-15. PubMed ID: 35750106
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Decoding tumor stage by peritumoral and intratumoral radiomics in resectable esophageal squamous cell carcinoma.
    Tan XZ; Ma R; Liu P; Xiao CH; Zhang HH; Yang F; Liang CH; Liu ZY
    Abdom Radiol (NY); 2024 Jan; 49(1):301-311. PubMed ID: 37831168
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT radiomics features of meso-esophageal fat in predicting overall survival of patients with locally advanced esophageal squamous cell carcinoma treated by definitive chemoradiotherapy.
    Yan S; Li FP; Jian L; Zhu HT; Zhao B; Li XT; Shi YJ; Sun YS
    BMC Cancer; 2023 May; 23(1):477. PubMed ID: 37231388
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.
    Zhu Y; Yao W; Xu BC; Lei YY; Guo QK; Liu LZ; Li HJ; Xu M; Yan J; Chang DD; Feng ST; Zhu ZH
    BMC Cancer; 2021 Oct; 21(1):1167. PubMed ID: 34717582
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of an [
    Takahashi N; Tanaka S; Umezawa R; Takanami K; Takeda K; Yamamoto T; Suzuki Y; Katsuta Y; Kadoya N; Jingu K
    Acta Oncol; 2023 Feb; 62(2):159-165. PubMed ID: 36794365
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy.
    Yang Z; He B; Zhuang X; Gao X; Wang D; Li M; Lin Z; Luo R
    J Radiat Res; 2019 Jul; 60(4):538-545. PubMed ID: 31111948
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Computed Tomography-Based Radiomics Nomogram for Predicting the Postoperative Prognosis of Esophageal Squamous Cell Carcinoma: A Multicenter Study.
    Peng H; Xue T; Chen Q; Li M; Ge Y; Feng F
    Acad Radiol; 2022 Nov; 29(11):1631-1640. PubMed ID: 35300908
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.