BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 35702011)

  • 1. CT-based radiomics to distinguish progressive from stable neuroendocrine liver metastases treated with somatostatin analogues: an explorative study.
    Staal FC; Taghavi M; Hong EK; Tissier R; van Treijen M; Heeres BC; van der Zee D; Tesselaar ME; Beets-Tan RG; Maas M
    Acta Radiol; 2023 Mar; 64(3):1062-1070. PubMed ID: 35702011
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Liver metastases of neuroendocrine tumors: is it possible to diagnose different histologic subtypes depending on multiphasic CT features?
    Gulpinar B; Peker E; Kul M; Elhan AH; Haliloglu N
    Abdom Radiol (NY); 2019 Jun; 44(6):2147-2155. PubMed ID: 30863999
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal Phase of Dynamic Computed Tomography for Reliable Size Measurement of Metastatic Neuroendocrine Tumors of the Liver: Comparison between Pre- and Post-Contrast Phases.
    Huh J; Park J; Kim KW; Kim HJ; Lee JS; Lee JH; Jeong YK; Shinagare AB; Ramaiya NH
    Korean J Radiol; 2018; 19(6):1066-1076. PubMed ID: 30386138
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery.
    Liang M; Ma X; Wang L; Li D; Wang S; Zhang H; Zhao X
    Cancer Imaging; 2022 Sep; 22(1):50. PubMed ID: 36089623
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Early evaluation of sunitinib for the treatment of advanced gastroenteropancreatic neuroendocrine neoplasms via CT imaging: RECIST 1.1 or Choi Criteria?
    Luo Y; Chen J; Huang K; Lin Y; Chen M; Xu L; Li ZP; Feng ST
    BMC Cancer; 2017 Feb; 17(1):154. PubMed ID: 28231773
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Discrimination of Liver Metastases of Digestive System Neuroendocrine Tumors From Neuroendocrine Carcinoma by Computed Tomography-Based Radiomics Analysis.
    Gu XL; Cui Y; Zhu HT; Li XT; Pei X; He XX; Yang L; Lu M; Li ZW; Sun YS
    J Comput Assist Tomogr; 2023 May-Jun 01; 47(3):361-368. PubMed ID: 37184997
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from
    Weber M; Kessler L; Schaarschmidt B; Fendler WP; Lahner H; Antoch G; Umutlu L; Herrmann K; Rischpler C
    BMC Cancer; 2020 Apr; 20(1):326. PubMed ID: 32299391
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic Contrast-enhanced CT to Evaluate Early Response in Neuroendocrine Liver Metastases Treated With Everolimus and Radiation.
    Hudson JM; Singh S; Milot L; Patel C; Bailey C; Rodriguez-Freixinos V; Chan D; Hallet J; Law C; Myrehaug S
    Anticancer Res; 2022 Jul; 42(7):3523-3527. PubMed ID: 35790284
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
    Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
    Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks.
    Ma J; Dercle L; Lichtenstein P; Wang D; Chen A; Zhu J; Piessevaux H; Zhao J; Schwartz LH; Lu L; Zhao B
    Acad Radiol; 2020 Feb; 27(2):e10-e18. PubMed ID: 31151901
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Correlation of Radiomics with Treatment Response in Liver Metastases.
    Mostafavi L; Homayounieh F; Lades F; Primak A; Muse V; Harris GJ; Kalra MK; Digumarthy SR
    Acad Radiol; 2023 Dec; ():. PubMed ID: 38087718
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CT radiomics models are unable to predict new liver metastasis after successful thermal ablation of colorectal liver metastases.
    Taghavi M; Staal FC; Simões R; Hong EK; Lambregts DM; van der Heide UA; Beets-Tan RG; Maas M
    Acta Radiol; 2023 Jan; 64(1):5-12. PubMed ID: 34918955
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases.
    Taghavi M; Staal F; Gomez Munoz F; Imani F; Meek DB; Simões R; Klompenhouwer LG; van der Heide UA; Beets-Tan RGH; Maas M
    Cardiovasc Intervent Radiol; 2021 Jun; 44(6):913-920. PubMed ID: 33506278
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors.
    Caruso D; Polici M; Rinzivillo M; Zerunian M; Nacci I; Marasco M; Magi L; Tarallo M; Gargiulo S; Iannicelli E; Annibale B; Laghi A; Panzuto F
    Radiol Med; 2022 Jul; 127(7):691-701. PubMed ID: 35717429
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): a radiomic model to predict tumor grade.
    Chiti G; Grazzini G; Flammia F; Matteuzzi B; Tortoli P; Bettarini S; Pasqualini E; Granata V; Busoni S; Messserini L; Pradella S; Massi D; Miele V
    Radiol Med; 2022 Sep; 127(9):928-938. PubMed ID: 35917099
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC.
    Stüber AT; Coors S; Schachtner B; Weber T; Rügamer D; Bender A; Mittermeier A; Öcal O; Seidensticker M; Ricke J; Bischl B; Ingrisch M
    Invest Radiol; 2023 Dec; 58(12):874-881. PubMed ID: 37504498
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using a single abdominal computed tomography image to differentiate five contrast-enhancement phases: A machine-learning algorithm for radiomics-based precision medicine.
    Dercle L; Ma J; Xie C; Chen AP; Wang D; Luk L; Revel-Mouroz P; Otal P; Peron JM; Rousseau H; Lu L; Schwartz LH; Mokrane FZ; Zhao B
    Eur J Radiol; 2020 Apr; 125():108850. PubMed ID: 32070870
    [TBL] [Abstract][Full Text] [Related]  

  • 18. GEP-NET radiomics: a systematic review and radiomics quality score assessment.
    Staal FCR; Aalbersberg EA; van der Velden D; Wilthagen EA; Tesselaar MET; Beets-Tan RGH; Maas M
    Eur Radiol; 2022 Oct; 32(10):7278-7294. PubMed ID: 35882634
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT-based radiomics model to distinguish necrotic hepatocellular carcinoma from pyogenic liver abscess.
    Hu MJ; Yu YX; Fan YF; Hu CH
    Clin Radiol; 2021 Feb; 76(2):161.e11-161.e17. PubMed ID: 33267948
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Feasibility of CT radiomics to predict treatment response of individual liver metastases in esophagogastric cancer patients.
    Klaassen R; Larue RTHM; Mearadji B; van der Woude SO; Stoker J; Lambin P; van Laarhoven HWM
    PLoS One; 2018; 13(11):e0207362. PubMed ID: 30440002
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.