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 *

170 related articles for article (PubMed ID: 38736485)

  • 1. CT-based radiomics and clinical characteristics for predicting bone metastasis in lung adenocarcinoma patients.
    Su Q; Wang B; Guo J; Nie P; Xu W
    Transl Lung Cancer Res; 2024 Apr; 13(4):721-732. PubMed ID: 38736485
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma.
    Yang Z; Cai Y; Chen Y; Ai Z; Chen F; Wang H; Han Q; Feng Q; Xiang Z
    Acad Radiol; 2023 Sep; 30(9):1946-1961. PubMed ID: 36567145
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
    Chen Z; Yi L; Peng Z; Zhou J; Zhang Z; Tao Y; Lin Z; He A; Jin M; Zuo M
    Front Oncol; 2022; 12():949111. PubMed ID: 36505773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Establishment and verification of a prediction model based on clinical characteristics and computed tomography radiomics parameters for distinguishing benign and malignant pulmonary nodules.
    Hou X; Wu M; Chen J; Zhang R; Wang Y; Zhang S; Yuan Z; Feng J; Xu L
    J Thorac Dis; 2024 Mar; 16(3):1984-1995. PubMed ID: 38617763
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and Validation of a Radiomics Nomogram for Differentiating Pulmonary Cryptococcosis and Lung Adenocarcinoma in Solitary Pulmonary Solid Nodule.
    Zhao J; Sun L; Sun K; Wang T; Wang B; Yang Y; Wu C; Sun X
    Front Oncol; 2021; 11():759840. PubMed ID: 34858836
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of computed tomography-based radiomics combined with clinical factors in the diagnosis of malignant degree of lung adenocarcinoma.
    Shi L; Yang M; Yao J; Ni H; Shao H; Feng W; He Z; Ni B
    J Thorac Dis; 2022 Nov; 14(11):4435-4448. PubMed ID: 36524093
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.
    Chang C; Zhou S; Yu H; Zhao W; Ge Y; Duan S; Wang R; Qian X; Lei B; Wang L; Liu L; Ruan M; Yan H; Sun X; Xie W
    Eur Radiol; 2021 Aug; 31(8):6259-6268. PubMed ID: 33544167
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation a radiomics nomogram for diagnosing occult brain metastases in patients with stage IV lung adenocarcinoma.
    Cong P; Qiu Q; Li X; Sun Q; Yu X; Yin Y
    Transl Cancer Res; 2021 Oct; 10(10):4375-4386. PubMed ID: 35116296
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting the Ki-67 proliferation index in pulmonary adenocarcinoma patients presenting with subsolid nodules: construction of a nomogram based on CT images.
    Yan J; Xue X; Gao C; Guo Y; Wu L; Zhou C; Chen F; Xu M
    Quant Imaging Med Surg; 2022 Jan; 12(1):642-652. PubMed ID: 34993108
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
    Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
    Front Oncol; 2022; 12():944005. PubMed ID: 36081562
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients.
    Li Q; Song Z; Zhang D; Li X; Liu Q; Yu J; Li Z; Zhang J; Ren X; Wen Y; Tang Z
    Front Oncol; 2022; 12():992906. PubMed ID: 36276058
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT Radiomics Combined With Clinicopathological Features to Predict Invasive Mucinous Adenocarcinoma in Patients With Lung Adenocarcinoma.
    Zhang J; Hao L; Li M; Xu Q; Shi G
    Technol Cancer Res Treat; 2023; 22():15330338231174306. PubMed ID: 37278046
    [No Abstract]   [Full Text] [Related]  

  • 16. A Radiomics Model Based on CT Images Combined with Multiple Machine Learning Models to Predict the Prognosis of Spontaneous Intracerebral Hemorrhage.
    Pei L; Fang T; Xu L; Ni C
    World Neurosurg; 2024 Jan; 181():e856-e866. PubMed ID: 37931880
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Combined model of radiomics and clinical features for differentiating pneumonic-type mucinous adenocarcinoma from lobar pneumonia: An exploratory study.
    Ji H; Liu Q; Chen Y; Gu M; Chen Q; Guo S; Ning S; Zhang J; Li WH
    Front Endocrinol (Lausanne); 2022; 13():997921. PubMed ID: 36726465
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
    Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
    Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnostic Value of
    Feng L; Yang X; Lu X; Kan Y; Wang C; Zhang H; Wang W; Yang J
    Acad Radiol; 2023 May; 30(5):940-951. PubMed ID: 36117128
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules.
    Chen X; Feng B; Chen Y; Liu K; Li K; Duan X; Hao Y; Cui E; Liu Z; Zhang C; Long W; Liu X
    Cancer Imaging; 2020 Jul; 20(1):45. PubMed ID: 32641166
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.