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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

321 related items for PubMed ID: 35142612

  • 1. Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study.
    Liu B, Liu H, Zhang L, Song Y, Yang S, Zheng Z, Zhao J, Hou F, Zhang J.
    Diagn Interv Radiol; 2022 Jan; 28(1):29-38. PubMed ID: 35142612
    [Abstract] [Full Text] [Related]

  • 2. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
    Wei Y, Lu Z, Ren Y.
    Technol Cancer Res Treat; 2023 Jan; 22():15330338231181260. PubMed ID: 37296525
    [Abstract] [Full Text] [Related]

  • 3. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
    Song Y, Li J, Wang H, Liu B, Yuan C, Liu H, Zheng Z, Min F, Li Y.
    Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
    [Abstract] [Full Text] [Related]

  • 4. Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors.
    Yang P, Wu J, Liu M, Zheng Y, Zhao X, Mao Y.
    Med Phys; 2024 Oct; 51(10):7257-7268. PubMed ID: 38935330
    [Abstract] [Full Text] [Related]

  • 5. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively.
    Chen T, Ning Z, Xu L, Feng X, Han S, Roth HR, Xiong W, Zhao X, Hu Y, Liu H, Yu J, Zhang Y, Li Y, Xu Y, Mori K, Li G.
    Eur Radiol; 2019 Mar; 29(3):1074-1082. PubMed ID: 30116959
    [Abstract] [Full Text] [Related]

  • 6. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
    Zhang QW, Gao YJ, Zhang RY, Zhou XX, Chen SL, Zhang Y, Liu Q, Xu JR, Ge ZZ.
    Clin Transl Med; 2020 Jan 31; 9(1):12. PubMed ID: 32006200
    [Abstract] [Full Text] [Related]

  • 7. Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach.
    Starmans MPA, Timbergen MJM, Vos M, Renckens M, Grünhagen DJ, van Leenders GJLH, Dwarkasing RS, Willemssen FEJA, Niessen WJ, Verhoef C, Sleijfer S, Visser JJ, Klein S.
    J Digit Imaging; 2022 Apr 31; 35(2):127-136. PubMed ID: 35088185
    [Abstract] [Full Text] [Related]

  • 8. Computed tomography texture-based models for predicting KIT exon 11 mutation of gastrointestinal stromal tumors.
    Guo C, Zhou H, Chen X, Feng Z.
    Heliyon; 2023 Oct 31; 9(10):e20983. PubMed ID: 37876490
    [Abstract] [Full Text] [Related]

  • 9. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J, Wu X, Mao N, Zheng G, Zhang H, Mou Y, Jia C, Mi J, Song X.
    Front Endocrinol (Lausanne); 2021 Oct 31; 12():741698. PubMed ID: 34745008
    [Abstract] [Full Text] [Related]

  • 10. CT texture analysis can be a potential tool to differentiate gastrointestinal stromal tumors without KIT exon 11 mutation.
    Xu F, Ma X, Wang Y, Tian Y, Tang W, Wang M, Wei R, Zhao X.
    Eur J Radiol; 2018 Oct 31; 107():90-97. PubMed ID: 30292279
    [Abstract] [Full Text] [Related]

  • 11. Radiomics signatures based on contrast-enhanced CT for preoperative prediction of the Ki-67 proliferation state in gastrointestinal stromal tumors.
    Liu M, Bian J.
    Jpn J Radiol; 2023 Jul 31; 41(7):741-751. PubMed ID: 36652141
    [Abstract] [Full Text] [Related]

  • 12. The predictive potential of contrast-enhanced computed tomography based radiomics in the preoperative staging of cT4 gastric cancer.
    Liu B, Zhang D, Wang H, Wang H, Zhang P, Zhang D, Zhang Q, Zhang J.
    Quant Imaging Med Surg; 2022 Nov 31; 12(11):5222-5238. PubMed ID: 36330185
    [Abstract] [Full Text] [Related]

  • 13. Preoperative MRI-Based Radiomic Machine-Learning Nomogram May Accurately Distinguish Between Benign and Malignant Soft-Tissue Lesions: A Two-Center Study.
    Wang H, Zhang J, Bao S, Liu J, Hou F, Huang Y, Chen H, Duan S, Hao D, Liu J.
    J Magn Reson Imaging; 2020 Sep 31; 52(3):873-882. PubMed ID: 32112598
    [Abstract] [Full Text] [Related]

  • 14. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
    Wang Y, Bai G, Huang M, Chen W.
    Front Oncol; 2024 Sep 31; 14():1308317. PubMed ID: 38549935
    [Abstract] [Full Text] [Related]

  • 15. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features.
    Wang FH, Zheng HL, Li JT, Li P, Zheng CH, Chen QY, Huang CM, Xie JW.
    Radiol Med; 2022 Oct 31; 127(10):1085-1097. PubMed ID: 36057930
    [Abstract] [Full Text] [Related]

  • 16. Personalized radiomics signature to screen for KIT-11 mutation genotypes among patients with gastrointestinal stromal tumors: a retrospective multicenter study.
    Zhang QW, Zhang RY, Yan ZB, Zhao YX, Wang XY, Jin JZ, Qiu QX, Chen JJ, Xie ZH, Lin J, Cao H, Zhou Y, Chen HM, Li XB.
    J Transl Med; 2023 Oct 16; 21(1):726. PubMed ID: 37845765
    [Abstract] [Full Text] [Related]

  • 17. Prediction of the Ki-67 expression level and prognosis of gastrointestinal stromal tumors based on CT radiomics nomogram.
    Feng Q, Tang B, Zhang Y, Liu X.
    Int J Comput Assist Radiol Surg; 2022 Jun 16; 17(6):1167-1175. PubMed ID: 35195831
    [Abstract] [Full Text] [Related]

  • 18. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
    Ren C, Wang S, Zhang S.
    Cancer Imaging; 2020 Jan 13; 20(1):5. PubMed ID: 31931874
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT.
    Liu Y, He C, Fang W, Peng L, Shi F, Xia Y, Zhou Q, Zhang R, Li C.
    Eur Radiol; 2023 Nov 13; 33(11):7609-7617. PubMed ID: 37266658
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 17.