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 *

137 related articles for article (PubMed ID: 36974798)

  • 1. Prognostic Value of Radiomics Analysis of Skeletal Muscle After Radical Irradiation of Esophageal Cancer.
    Iwashita K; Kubota H; Nishioka R; Emoto Y; Kawahara D; Ishihara T; Miyawaki D; Nishibuchi I; Nagata Y; Sasaki R
    Anticancer Res; 2023 Apr; 43(4):1749-1760. PubMed ID: 36974798
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 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. Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in Patients with Gastric and Esophageal Tumors.
    Vogele D; Mueller T; Wolf D; Otto S; Manoj S; Goetz M; Ettrich TJ; Beer M
    Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248074
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computed Tomography-Based Delta-Radiomics Analysis for Discriminating Radiation Pneumonitis in Patients With Esophageal Cancer After Radiation Therapy.
    Wang L; Gao Z; Li C; Sun L; Li J; Yu J; Meng X
    Int J Radiat Oncol Biol Phys; 2021 Oct; 111(2):443-455. PubMed ID: 33974887
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
    Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
    J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.
    Dong X; Dan X; Yawen A; Haibo X; Huan L; Mengqi T; Linglong C; Zhao R
    Thorac Cancer; 2020 Sep; 11(9):2650-2659. PubMed ID: 32767522
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.
    Kawahara D; Murakami Y; Tani S; Nagata Y
    Br J Radiol; 2021 Aug; 94(1124):20210525. PubMed ID: 34235955
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer.
    Wang J; Zeng J; Li H; Yu X
    J Healthc Eng; 2022; 2022():4034404. PubMed ID: 35368956
    [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. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
    Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
    BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model.
    Zhu C; Mu F; Wang S; Qiu Q; Wang S; Wang L
    Eur J Med Res; 2022 Dec; 27(1):272. PubMed ID: 36463269
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram.
    Zhu C; Sun W; Chen C; Qiu Q; Wang S; Song Y; Ma X
    Eur J Med Res; 2024 Apr; 29(1):217. PubMed ID: 38570887
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomics Analysis of PET and CT Components of
    Wang X; Lu Z
    Front Oncol; 2021; 11():638124. PubMed ID: 33928029
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of MRI-based radiomics signatures models for prediction of disease-free survival and overall survival in patients with esophageal squamous cell carcinoma.
    Chu F; Liu Y; Liu Q; Li W; Jia Z; Wang C; Wang Z; Lu S; Li P; Zhang Y; Liao Y; Xu M; Yao X; Wang S; Liu C; Zhang H; Wang S; Yan X; Kamel IR; Sun H; Yang G; Zhang Y; Qu J
    Eur Radiol; 2022 Sep; 32(9):5930-5942. PubMed ID: 35384460
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.