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 *

211 related articles for article (PubMed ID: 33178598)

  • 1. Utility of Radiomics for Predicting Patient Survival in Hepatocellular Carcinoma With Portal Vein Tumor Thrombosis Treated With Stereotactic Body Radiotherapy.
    Wu K; Shui Y; Sun W; Lin S; Pang H
    Front Oncol; 2020; 10():569435. PubMed ID: 33178598
    [No Abstract]   [Full Text] [Related]  

  • 2. Predictive factors for survival following stereotactic body radiotherapy for hepatocellular carcinoma with portal vein tumour thrombosis and construction of a nomogram.
    Li X; Ye Z; Lin S; Pang H
    BMC Cancer; 2021 Jun; 21(1):701. PubMed ID: 34126955
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics-based nomogram as predictive model for prognosis of hepatocellular carcinoma with portal vein tumor thrombosis receiving radiotherapy.
    Huang YM; Wang TE; Chen MJ; Lin CC; Chang CW; Tai HC; Hsu SM; Chen YJ
    Front Oncol; 2022; 12():906498. PubMed ID: 36203419
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development of a Radiotherapy Localisation Computed Tomography-Based Radiomic Model for Predicting Survival in Patients With Nasopharyngeal Carcinoma Treated With Intensity-Modulated Radiotherapy Following Induction Chemotherapy.
    Li X; Chen H; Zhao F; Zheng Y; Pang H; Xiang L
    Cancer Control; 2022; 29():10732748221076820. PubMed ID: 35271403
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Developing a clinical-radiomic prediction model for 3-year cancer-specific survival in lung cancer patients treated with stereotactic body radiation therapy.
    Huang BT; Wang Y; Lin PX
    J Cancer Res Clin Oncol; 2024 Jan; 150(2):34. PubMed ID: 38277078
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomic modeling to predict risk of vertebral compression fracture after stereotactic body radiation therapy for spinal metastases.
    Gui C; Chen X; Sheikh K; Mathews L; Lo SL; Lee J; Khan MA; Sciubba DM; Redmond KJ
    J Neurosurg Spine; 2022 Feb; 36(2):294-302. PubMed ID: 34560656
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Stereotactic body radiotherapy based treatment for hepatocellular carcinoma with extensive portal vein tumor thrombosis.
    Shui Y; Yu W; Ren X; Guo Y; Xu J; Ma T; Zhang B; Wu J; Li Q; Hu Q; Shen L; Bai X; Liang T; Wei Q
    Radiat Oncol; 2018 Sep; 13(1):188. PubMed ID: 30253783
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computed tomography radiomics in predicting patient satisfaction after robotic-assisted total knee arthroplasty.
    Tian R; Duan X; Xing F; Zhao Y; Liu C; Li H; Kong N; Cao R; Guan H; Li Y; Li X; Zhang J; Wang K; Yang P; Wang C
    Int J Comput Assist Radiol Surg; 2024 Jun; ():. PubMed ID: 38836956
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predictive value of 0.35 T magnetic resonance imaging radiomic features in stereotactic ablative body radiotherapy of pancreatic cancer: A pilot study.
    Simpson G; Spieler B; Dogan N; Portelance L; Mellon EA; Kwon D; Ford JC; Yang F
    Med Phys; 2020 Aug; 47(8):3682-3690. PubMed ID: 32329904
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prognostic Value of a CT Radiomics-Based Nomogram for the Overall Survival of Patients with Nonmetastatic BCLC Stage C Hepatocellular Carcinoma after Stereotactic Body Radiotherapy.
    Wang L; Yan D; Shen L; Xie Y; Yan S
    J Oncol; 2023; 2023():1554599. PubMed ID: 36636027
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
    Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
    Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A radiomics nomogram for preoperative prediction of microvascular invasion risk in hepatitis B virus-related hepatocellular carcinoma.
    Peng J; Zhang J; Zhang Q; Xu Y; Zhou J; Liu L
    Diagn Interv Radiol; 2018; 24(3):121-127. PubMed ID: 29770763
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel CT-based radiomic nomogram for predicting the recurrence and metastasis of gastric stromal tumors.
    Ao W; Cheng G; Lin B; Yang R; Liu X; Zhou S; Wang W; Fang Z; Tian F; Yang G; Wang J
    Am J Cancer Res; 2021; 11(6):3123-3134. PubMed ID: 34249449
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma.
    Jiang Y; Li W; Huang C; Tian C; Chen Q; Zeng X; Cao Y; Chen Y; Yang Y; Liu H; Bo Y; Luo C; Li Y; Zhang T; Wang R
    Front Oncol; 2020; 10():592. PubMed ID: 32547934
    [No Abstract]   [Full Text] [Related]  

  • 15. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram.
    Yuan C; Wang Z; Gu D; Tian J; Zhao P; Wei J; Yang X; Hao X; Dong D; He N; Sun Y; Gao W; Feng J
    Cancer Imaging; 2019 Apr; 19(1):21. PubMed ID: 31027510
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and Assessment of Novel Predictive Nomograms Based on APRI for Hepatitis B Virus-associated Small Solitary Hepatocellular Carcinoma with Stereotactic Body Radiotherapy.
    Lai L; Su T; Liang Z; Lu Y; Hou E; Lian Z; Gao H; Zhu X
    J Cancer; 2020; 11(22):6642-6652. PubMed ID: 33046985
    [No Abstract]   [Full Text] [Related]  

  • 17. Radiomic Analysis Based on Magnetic Resonance Imaging for Predicting PD-L2 Expression in Hepatocellular Carcinoma.
    Tao YY; Shi Y; Gong XQ; Li L; Li ZM; Yang L; Zhang XM
    Cancers (Basel); 2023 Jan; 15(2):. PubMed ID: 36672315
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy.
    Cozzi L; Dinapoli N; Fogliata A; Hsu WC; Reggiori G; Lobefalo F; Kirienko M; Sollini M; Franceschini D; Comito T; Franzese C; Scorsetti M; Wang PM
    BMC Cancer; 2017 Dec; 17(1):829. PubMed ID: 29207975
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
    Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
    Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic Features at Contrast-enhanced CT Predict Recurrence in Early Stage Hepatocellular Carcinoma: A Multi-Institutional Study.
    Ji GW; Zhu FP; Xu Q; Wang K; Wu MY; Tang WW; Li XC; Wang XH
    Radiology; 2020 Mar; 294(3):568-579. PubMed ID: 31934830
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.