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 *

268 related articles for article (PubMed ID: 36995415)

  • 21. Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma.
    Li C; Wang H; Chen Y; Zhu C; Gao Y; Wang X; Dong J; Wu X
    Front Oncol; 2022; 12():816982. PubMed ID: 35747838
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Development and Validation of an MRI-based Radiomics Nomogram for Assessing Deep Myometrial Invasion in Early Stage Endometrial Adenocarcinoma.
    Wang Y; Bi Q; Deng Y; Yang Z; Song Y; Wu Y; Wu K
    Acad Radiol; 2023 Apr; 30(4):668-679. PubMed ID: 35778306
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
    Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
    Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
    [TBL] [Abstract][Full Text] [Related]  

  • 24. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
    Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB
    Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram.
    Wang T; Gao T; Guo H; Wang Y; Zhou X; Tian J; Huang L; Zhang M
    Eur Radiol; 2020 Jun; 30(6):3585-3593. PubMed ID: 32065284
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. MRI-based traditional radiomics and computer-vision nomogram for predicting lymphovascular space invasion in endometrial carcinoma.
    Long L; Sun J; Jiang L; Hu Y; Li L; Tan Y; Cao M; Lan X; Zhang J
    Diagn Interv Imaging; 2021; 102(7-8):455-462. PubMed ID: 33741266
    [TBL] [Abstract][Full Text] [Related]  

  • 28. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
    Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
    Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A radiomics nomogram for predicting the meningioma grade based on enhanced
    Duan C; Zhou X; Wang J; Li N; Liu F; Gao S; Liu X; Xu W
    Br J Radiol; 2022 Sep; 95(1137):20220141. PubMed ID: 35816518
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
    Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
    EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
    Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
    Front Oncol; 2021; 11():740776. PubMed ID: 34790570
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
    Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
    J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer.
    Zhan F; He L; Yu Y; Chen Q; Guo Y; Wang L
    Sci Rep; 2023 Sep; 13(1):16397. PubMed ID: 37773310
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Radiomics Nomograms Based on Non-enhanced MRI and Clinical Risk Factors for the Differentiation of Chondrosarcoma from Enchondroma.
    Pan J; Zhang K; Le H; Jiang Y; Li W; Geng Y; Li S; Hong G
    J Magn Reson Imaging; 2021 Oct; 54(4):1314-1323. PubMed ID: 33949727
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.
    Xu X; Wang H; Du P; Zhang F; Li S; Zhang Z; Yuan J; Liang Z; Zhang X; Guo Y; Liu Y; Lu H
    J Magn Reson Imaging; 2019 Dec; 50(6):1893-1904. PubMed ID: 30980695
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score.
    Zhao Y; Huang F; Liu S; Jian L; Xia X; Lin H; Liu J
    J Cancer Res Clin Oncol; 2023 Jul; 149(8):5181-5192. PubMed ID: 36369395
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A multidimensional nomogram combining overall stage, dose volume histogram parameters and radiomics to predict progression-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.
    Yang K; Tian J; Zhang B; Li M; Xie W; Zou Y; Tan Q; Liu L; Zhu J; Shou A; Li G
    Oral Oncol; 2019 Nov; 98():85-91. PubMed ID: 31569054
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
    Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
    Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.
    Qiu Y; Zhang X; Wu Z; Wu S; Yang Z; Wang D; Le H; Mao J; Dai G; Tian X; Zhou R; Huang J; Hu L; Shen J
    Front Oncol; 2022; 12():811347. PubMed ID: 35296027
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.