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 *

175 related articles for article (PubMed ID: 38155425)

  • 21. Machine learning based on SPECT/CT to differentiate bone metastasis and benign bone lesions in lung malignancy patients.
    Wang H; Chen Y; Qiu J; Xie J; Lu W; Ma J; Jia M
    Med Phys; 2024 Apr; 51(4):2578-2588. PubMed ID: 37966123
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Hybrid model of CT-fractional flow reserve, pericoronary fat attenuation index and radiomics for predicting the progression of WMH: a dual-center pilot study.
    Hou J; Jin H; Zhang Y; Xu Y; Cui F; Qin X; Han L; Yuan Z; Zheng G; Peng J; Shu Z; Gong X
    Front Cardiovasc Med; 2023; 10():1282768. PubMed ID: 38179506
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A radiomics method based on MR FS-T2WI sequence for diagnosing of autosomal dominant polycystic kidney disease progression.
    Cong L; Hua QQ; Huang ZQ; Ma QL; Wang XM; Huang CC; Xu JX; Ma T
    Eur Rev Med Pharmacol Sci; 2021 Sep; 25(18):5769-5780. PubMed ID: 34604968
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Integration of ultrasound radiomics features and clinical factors: A nomogram model for identifying the Ki-67 status in patients with breast carcinoma.
    Wu J; Fang Q; Yao J; Ge L; Hu L; Wang Z; Jin G
    Front Oncol; 2022; 12():979358. PubMed ID: 36276108
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography.
    Huang L; Ye Y; Chen J; Feng W; Peng S; Du X; Li X; Song Z; Liu T
    Diagn Interv Radiol; 2024 Jul; 30(4):236-247. PubMed ID: 38164893
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
    Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
    Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Differentiation Between Phyllodes Tumors and Fibroadenomas of Breast Using Mammography-based Machine Learning Methods: A Preliminary Study.
    Deng XY; Cao PW; Nan SM; Pan YP; Yu C; Pan T; Dai G
    Clin Breast Cancer; 2023 Oct; 23(7):729-736. PubMed ID: 37481337
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A radiomics model based on aortic computed tomography angiography: the impact on predicting the prognosis of patients with aortic intramural hematoma (IMH).
    Ding Y; Zhang C; Wu W; Pu J; Zhao X; Zhang H; Zhao L; Schoenhagen P; Liu S; Ma X
    Quant Imaging Med Surg; 2023 Feb; 13(2):598-609. PubMed ID: 36819258
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Development and validation of a nonenhanced CT based radiomics model to detect brown adipose tissue.
    Li J; Zuo R; Schoepf UJ; Griffith JP; Wu S; Zhou C; Chen X; Tan W; Zhou Z; Gao H; Zhang L; Yang G
    Theranostics; 2023; 13(5):1584-1593. PubMed ID: 37056567
    [No Abstract]   [Full Text] [Related]  

  • 32. Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT.
    Hong JH; Jung JY; Jo A; Nam Y; Pak S; Lee SY; Park H; Lee SE; Kim S
    Radiology; 2021 Jun; 299(3):626-632. PubMed ID: 33787335
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Single-Photon Emission Computed Tomography/Computed Tomography Image-Based Radiomics for Discriminating Vertebral Bone Metastases From Benign Bone Lesions in Patients With Tumors.
    Jin Z; Zhang F; Wang Y; Tian A; Zhang J; Chen M; Yu J
    Front Med (Lausanne); 2021; 8():792581. PubMed ID: 35059418
    [No Abstract]   [Full Text] [Related]  

  • 34. MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features.
    Ma X; Shen F; Jia Y; Xia Y; Li Q; Lu J
    BMC Med Imaging; 2019 Nov; 19(1):86. PubMed ID: 31747902
    [TBL] [Abstract][Full Text] [Related]  

  • 35. External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor study.
    Wei Q; Chen Z; Tang Y; Chen W; Zhong L; Mao L; Hu S; Wu Y; Deng K; Yang W; Liu X
    Eur Radiol; 2023 Mar; 33(3):1906-1917. PubMed ID: 36355199
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Development and validation of a contrast-enhanced CT-based radiomics nomogram for differentiating mass-like thymic hyperplasia and low-risk thymoma.
    Dong W; Xiong S; Wang X; Hu S; Liu Y; Liu H; Wang X; Chen J; Qiu Y; Fan B
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14901-14910. PubMed ID: 37604939
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Differentiating nontuberculous mycobacterium pulmonary disease from pulmonary tuberculosis through the analysis of the cavity features in CT images using radiomics.
    Yan Q; Wang W; Zhao W; Zuo L; Wang D; Chai X; Cui J
    BMC Pulm Med; 2022 Jan; 22(1):4. PubMed ID: 34991543
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
    Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
    J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
    Du P; Liu X; Wu X; Chen J; Cao A; Geng D
    Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.