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 *

290 related articles for article (PubMed ID: 34717582)

  • 21. 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]  

  • 22. Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability.
    Wu YP; Wu L; Ou J; Cao JM; Fu MY; Chen TW; Ouchi E; Hu J
    Eur J Radiol; 2024 Jan; 170():111197. PubMed ID: 37992611
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computed tomography radiomics identification of T1-2 and T3-4 stages of esophageal squamous cell carcinoma: two-dimensional or three-dimensional?
    Li Y; Yang L; Gu X; Wang Q; Shi G; Zhang A; Yue M; Wang M; Ren J
    Abdom Radiol (NY); 2024 Jan; 49(1):288-300. PubMed ID: 37843576
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma.
    Tan X; Ma Z; Yan L; Ye W; Liu Z; Liang C
    Eur Radiol; 2019 Jan; 29(1):392-400. PubMed ID: 29922924
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
    Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
    Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A machine learning approach using
    Qi WX; Li S; Xiao J; Li H; Chen J; Zhao S
    Front Immunol; 2024; 15():1351750. PubMed ID: 38352868
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting response to CCRT for esophageal squamous carcinoma by a radiomics-clinical SHAP model.
    Cheng X; Zhang Y; Zhu M; Sun R; Liu L; Li X
    BMC Med Imaging; 2023 Oct; 23(1):145. PubMed ID: 37779188
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
    Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
    Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Radiomics Nomogram with Added Nodal Features Improves Treatment Response Prediction in Locally Advanced Esophageal Squamous Cell Carcinoma: A Multicenter Study.
    Li K; Zhang S; Hu Y; Cai A; Ao Y; Gong J; Liang M; Yang S; Chen X; Li M; Tian J; Shan H
    Ann Surg Oncol; 2023 Dec; 30(13):8231-8243. PubMed ID: 37755566
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. 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]  

  • 33. 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]  

  • 34. Development and validation of nomograms to intraoperatively predict metastatic patterns in regional lymph nodes in patients diagnosed with esophageal cancer.
    Zhao F; Lu RX; Liu JY; Fan J; Lin HR; Yang XY; You SH; Wu QG; Qin XY; Liu Y; Zhen FX; Luo JH; Wang W
    BMC Cancer; 2021 Jan; 21(1):22. PubMed ID: 33402129
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Contrast-enhanced CT radiomics features to preoperatively identify differences between tumor and proximal tumor-adjacent and tumor-distant tissues of resectable esophageal squamous cell carcinoma.
    Gao D; Tan BG; Chen XQ; Zhou C; Ou J; Guo WW; Zhou HY; Li R; Zhang XM; Chen TW
    Cancer Imaging; 2024 Jan; 24(1):11. PubMed ID: 38243339
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma.
    Yang Y; Yi Y; Wang Z; Li S; Zhang B; Sang Z; Zhang L; Cao Q; Li B
    BMC Cancer; 2024 Apr; 24(1):460. PubMed ID: 38609892
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiomics model for preoperative prediction of 3-year survival-based CT image biomarkers in esophageal cancer.
    Wang J; Yu X; Zeng J; Li H; Qin P
    Eur Arch Otorhinolaryngol; 2022 Nov; 279(11):5433-5443. PubMed ID: 35857100
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Radiomics-based prediction of response to immune checkpoint inhibitor treatment for solid cancers using computed tomography: a real-world study of two centers.
    Yu Y; Bai Y; Zheng P; Wang N; Deng X; Ma H; Yu R; Ma C; Liu P; Xie Y; Wang C; Chen H
    BMC Cancer; 2022 Nov; 22(1):1241. PubMed ID: 36451109
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors.
    Zhu C; Ding J; Wang S; Qiu Q; Ji Y; Wang L
    Thorac Cancer; 2021 Dec; 12(23):3110-3120. PubMed ID: 34647417
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.