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 *

209 related articles for article (PubMed ID: 35626271)

  • 1. Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern.
    Granata V; Fusco R; De Muzio F; Cutolo C; Mattace Raso M; Gabelloni M; Avallone A; Ottaiano A; Tatangelo F; Brunese MC; Miele V; Izzo F; Petrillo A
    Diagnostics (Basel); 2022 Apr; 12(5):. PubMed ID: 35626271
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study.
    Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Dell' Aversana F; Ottaiano A; Avallone A; Nasti G; Grassi F; Pilone V; Miele V; Brunese L; Izzo F; Petrillo A
    Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267418
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases.
    Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Grassi R; Grassi F; Ottaiano A; Nasti G; Tatangelo F; Pilone V; Miele V; Brunese MC; Izzo F; Petrillo A
    Radiol Med; 2022 May; 127(5):461-470. PubMed ID: 35347583
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment.
    Granata V; Fusco R; Brunese MC; Ferrara G; Tatangelo F; Ottaiano A; Avallone A; Miele V; Normanno N; Izzo F; Petrillo A
    Diagnostics (Basel); 2024 Jan; 14(2):. PubMed ID: 38248029
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EOB-MR Based Radiomics Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases.
    Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Dell'Aversana F; Ottaiano A; Nasti G; Grassi R; Pilone V; Miele V; Brunese MC; Tatangelo F; Izzo F; Petrillo A
    Cancers (Basel); 2022 Feb; 14(5):. PubMed ID: 35267544
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.
    Granata V; Fusco R; De Muzio F; Cutolo C; Setola SV; Dell'Aversana F; Grassi F; Belli A; Silvestro L; Ottaiano A; Nasti G; Avallone A; Flammia F; Miele V; Tatangelo F; Izzo F; Petrillo A
    Radiol Med; 2022 Jul; 127(7):763-772. PubMed ID: 35653011
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases.
    Granata V; Fusco R; Setola SV; De Muzio F; Dell' Aversana F; Cutolo C; Faggioni L; Miele V; Izzo F; Petrillo A
    Cancers (Basel); 2022 Mar; 14(7):. PubMed ID: 35406419
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment.
    Granata V; Fusco R; De Muzio F; Brunese MC; Setola SV; Ottaiano A; Cardone C; Avallone A; Patrone R; Pradella S; Miele V; Tatangelo F; Cutolo C; Maggialetti N; Caruso D; Izzo F; Petrillo A
    Radiol Med; 2023 Nov; 128(11):1310-1332. PubMed ID: 37697033
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
    Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
    J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics-Derived Data by Contrast Enhanced Magnetic Resonance in RAS Mutations Detection in Colorectal Liver Metastases.
    Granata V; Fusco R; Avallone A; De Stefano A; Ottaiano A; Sbordone C; Brunese L; Izzo F; Petrillo A
    Cancers (Basel); 2021 Jan; 13(3):. PubMed ID: 33504085
    [No Abstract]   [Full Text] [Related]  

  • 11. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
    Wang X; Wan Q; Chen H; Li Y; Li X
    Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Value of CT-Based Radiomics in Predicating the Efficacy of Anti-HER2 Therapy for Patients With Liver Metastases From Breast Cancer.
    He M; Hu Y; Wang D; Sun M; Li H; Yan P; Meng Y; Zhang R; Li L; Yu D; Wang X
    Front Oncol; 2022; 12():852809. PubMed ID: 35463302
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics and machine learning analysis of liver magnetic resonance imaging for prediction and early detection of tumor response in colorectal liver metastases.
    Yoon S; Kim YJ; Jeon JS; Ahn SJ; Choi SJ
    Korean J Clin Oncol; 2024 May; 20(1):27-35. PubMed ID: 38988016
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying Genetic Mutation Status in Patients with Colorectal Cancer Liver Metastases Using Radiomics-Based Machine-Learning Models.
    Wesdorp N; Zeeuw M; van der Meulen D; van 't Erve I; Bodalal Z; Roor J; van Waesberghe JH; Moos S; van den Bergh J; Nota I; van Dieren S; Stoker J; Meijer G; Swijnenburg RJ; Punt C; Huiskens J; Beets-Tan R; Fijneman R; Marquering H; Kazemier G; On Behalf Of The Dutch Colorectal Cancer Group Liver Expert Panel
    Cancers (Basel); 2023 Nov; 15(23):. PubMed ID: 38067353
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer.
    Bleker J; Kwee TC; Dierckx RAJO; de Jong IJ; Huisman H; Yakar D
    Eur Radiol; 2020 Mar; 30(3):1313-1324. PubMed ID: 31776744
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas.
    Tsuchiya M; Masui T; Terauchi K; Yamada T; Katyayama M; Ichikawa S; Noda Y; Goshima S
    Eur Radiol; 2022 Jun; 32(6):4090-4100. PubMed ID: 35044510
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases.
    Taghavi M; Trebeschi S; Simões R; Meek DB; Beckers RCJ; Lambregts DMJ; Verhoef C; Houwers JB; van der Heide UA; Beets-Tan RGH; Maas M
    Abdom Radiol (NY); 2021 Jan; 46(1):249-256. PubMed ID: 32583138
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer.
    Shu Z; Mao D; Song Q; Xu Y; Pang P; Zhang Y
    Eur Radiol; 2022 Feb; 32(2):1002-1013. PubMed ID: 34482429
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.