BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1125 related articles for article (PubMed ID: 36229793)

  • 1. Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study.
    Huang CB; Hu JS; Tan K; Zhang W; Xu TH; Yang L
    BMC Geriatr; 2022 Oct; 22(1):796. PubMed ID: 36229793
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Based on CT at the third lumbar spine level, the skeletal muscle index and psoas muscle index can predict osteoporosis.
    Huang CB; Lin DD; Huang JQ; Hu W
    BMC Musculoskelet Disord; 2022 Oct; 23(1):933. PubMed ID: 36280811
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Preoperative prediction of vessel invasion in locally advanced gastric cancer based on computed tomography radiomics and machine learning.
    Hu ZW; Liang P; Li ZL; Yong LL; Lu H; Wang R; Gao JB
    Oncol Lett; 2023 Jul; 26(1):293. PubMed ID: 37274479
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detecting whether L1 or other lumbar levels would be excluded from DXA bone mineral density analysis during opportunistic CT screening for osteoporosis using machine learning.
    Sebro R; De la Garza-Ramos C; Peterson JJ
    Int J Comput Assist Radiol Surg; 2023 Dec; 18(12):2261-2272. PubMed ID: 37219803
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
    Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
    Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
    [No Abstract]   [Full Text] [Related]  

  • 6. 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]  

  • 7. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.
    Xiao DX; Zhong JP; Peng JD; Fan CG; Wang XC; Wen XL; Liao WW; Wang J; Yin XF
    BMC Med Imaging; 2023 Oct; 23(1):159. PubMed ID: 37845636
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Utilizing machine learning for opportunistic screening for low BMD using CT scans of the cervical spine.
    Sebro R; De la Garza-Ramos C
    J Neuroradiol; 2023 May; 50(3):293-301. PubMed ID: 36030924
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of Hepatic Encephalopathy After Transjugular Intrahepatic Portosystemic Shunt Based on CT Radiomic Features of Visceral Adipose Tissue.
    Cheng S; Hu G; Jin Z; Wang Z; Xue H
    Acad Radiol; 2024 May; 31(5):1849-1861. PubMed ID: 38007366
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images.
    Liu L; Si M; Ma H; Cong M; Xu Q; Sun Q; Wu W; Wang C; Fagan MJ; Mur LAJ; Yang Q; Ji B
    BMC Bioinformatics; 2022 Feb; 23(1):63. PubMed ID: 35144529
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using radiomic features of lumbar spine CT images to differentiate osteoporosis from normal bone density.
    Xue Z; Huo J; Sun X; Sun X; Ai ST; LichiZhang ; Liu C
    BMC Musculoskelet Disord; 2022 Apr; 23(1):336. PubMed ID: 35395769
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur.
    Yuan X; Liang Y; Yang H; Feng L; Sun H; Li C; Qin J
    Acad Radiol; 2024 May; 31(5):2003-2010. PubMed ID: 37973518
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics and stacking regression model for measuring bone mineral density using abdominal computed tomography.
    Dai H; Wang Y; Fu R; Ye S; He X; Luo S; Jin W
    Acta Radiol; 2023 Jan; 64(1):228-236. PubMed ID: 34964365
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of machine learning model to predict lacunar cerebral infarction in elderly patients with femoral neck fracture before surgery.
    Huang CB; Tan K; Wu ZY; Yang L
    BMC Geriatr; 2022 Nov; 22(1):912. PubMed ID: 36443675
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability.
    Shan D; Wang S; Wang J; Lu J; Ren J; Chen J; Wang D; Qi P
    Front Neurol; 2023; 14():1151326. PubMed ID: 37396779
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.
    Lim HK; Ha HI; Park SY; Han J
    PLoS One; 2021; 16(3):e0247330. PubMed ID: 33661911
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer.
    Deng Z; Dong W; Xiong S; Jin D; Zhou H; Zhang L; Xie L; Deng Y; Xu R; Fan B
    Front Oncol; 2023; 13():1166245. PubMed ID: 37223680
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computed Tomography Measured Psoas Cross Sectional Area Is Associated With Bone Mineral Density Measured by Dual Energy X-Ray Absorptiometry.
    Touban BM; Sayegh MJ; Galina J; Pavlesen S; Radwan T; Anders M
    J Clin Densitom; 2022; 25(4):592-598. PubMed ID: 35606278
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network.
    Yasaka K; Akai H; Kunimatsu A; Kiryu S; Abe O
    Eur Radiol; 2020 Jun; 30(6):3549-3557. PubMed ID: 32060712
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 57.