BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

465 related articles for article (PubMed ID: 34703102)

  • 1. Framework for Machine Learning of CT and PET Radiomics to Predict Local Failure after Radiotherapy in Locally Advanced Head and Neck Cancers.
    Devakumar D; Sunny G; Sasidharan BK; Bowen SR; Nadaraj A; Jeyseelan L; Mathew M; Irodi A; Isiah R; Pavamani S; John S; T Thomas HM
    J Med Phys; 2021; 46(3):181-188. PubMed ID: 34703102
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of local recurrence and distant metastasis using radiomics analysis of pretreatment nasopharyngeal [18F]FDG PET/CT images.
    Peng L; Hong X; Yuan Q; Lu L; Wang Q; Chen W
    Ann Nucl Med; 2021 Apr; 35(4):458-468. PubMed ID: 33543393
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
    Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
    Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands.
    Sheikh K; Lee SH; Cheng Z; Lakshminarayanan P; Peng L; Han P; McNutt TR; Quon H; Lee J
    Radiat Oncol; 2019 Jul; 14(1):131. PubMed ID: 31358029
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma.
    Chang C; Sun X; Wang G; Yu H; Zhao W; Ge Y; Duan S; Qian X; Wang R; Lei B; Wang L; Liu L; Ruan M; Yan H; Liu C; Chen J; Xie W
    Front Oncol; 2021; 11():603882. PubMed ID: 33738250
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomic Analysis of Positron-Emission Tomography and Computed Tomography Images to Differentiate between Multiple Myeloma and Skeletal Metastases.
    Mannam P; Murali A; Gokulakrishnan P; Venkatachalapathy E; Venkata Sai PM
    Indian J Nucl Med; 2022; 37(3):217-226. PubMed ID: 36686312
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of a Model Based on Delta-Radiomic Features for the Optimization of Head and Neck Squamous Cell Carcinoma Patient Treatment.
    Šedienė S; Kulakienė I; Urbonavičius BG; Korobeinikova E; Rudžianskas V; Povilonis PA; Jaselskė E; Adlienė D; Juozaitytė E
    Medicina (Kaunas); 2023 Jun; 59(6):. PubMed ID: 37374377
    [No Abstract]   [Full Text] [Related]  

  • 9. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
    Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
    Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A prediction model for degree of differentiation for resectable locally advanced esophageal squamous cell carcinoma based on CT images using radiomics and machine-learning.
    Kawahara D; Murakami Y; Tani S; Nagata Y
    Br J Radiol; 2021 Aug; 94(1124):20210525. PubMed ID: 34235955
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dual-Centre Harmonised Multimodal Positron Emission Tomography/Computed Tomography Image Radiomic Features and Machine Learning Algorithms for Non-small Cell Lung Cancer Histopathological Subtype Phenotype Decoding.
    Khodabakhshi Z; Amini M; Hajianfar G; Oveisi M; Shiri I; Zaidi H
    Clin Oncol (R Coll Radiol); 2023 Nov; 35(11):713-725. PubMed ID: 37599160
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting the need for a replan in oropharyngeal cancer: A radiomic, clinical, and dosimetric model.
    Chinnery TA; Lang P; Nichols AC; Mattonen SA
    Med Phys; 2024 May; 51(5):3510-3520. PubMed ID: 38100260
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy.
    Socarrás Fernández JA; Mönnich D; Leibfarth S; Welz S; Zwanenburg A; Leger S; Löck S; Pfannenberg C; La Fougère C; Reischl G; Baumann M; Zips D; Thorwarth D
    Phys Imaging Radiat Oncol; 2020 Jul; 15():52-59. PubMed ID: 33043157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics prognostic analysis of PET/CT images in a multicenter head and neck cancer cohort: investigating ComBat strategies, sub-volume characterization, and automatic segmentation.
    Xu H; Abdallah N; Marion JM; Chauvet P; Tauber C; Carlier T; Lu L; Hatt M
    Eur J Nucl Med Mol Imaging; 2023 May; 50(6):1720-1734. PubMed ID: 36690882
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.
    Huynh BN; Groendahl AR; Tomic O; Liland KH; Knudtsen IS; Hoebers F; van Elmpt W; Malinen E; Dale E; Futsaether CM
    Front Med (Lausanne); 2023; 10():1217037. PubMed ID: 37711738
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
    He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
    Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer.
    Salmanpour MR; Hosseinzadeh M; Rezaeijo SM; Rahmim A
    Comput Methods Programs Biomed; 2023 Oct; 240():107714. PubMed ID: 37473589
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study.
    Mansouri Z; Salimi Y; Amini M; Hajianfar G; Oveisi M; Shiri I; Zaidi H
    Radiat Oncol; 2024 Jan; 19(1):12. PubMed ID: 38254203
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology.
    Wu W; Parmar C; Grossmann P; Quackenbush J; Lambin P; Bussink J; Mak R; Aerts HJ
    Front Oncol; 2016; 6():71. PubMed ID: 27064691
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
    Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
    Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.