BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 37072008)

  • 21. 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]  

  • 22. Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.
    Bashir U; Kawa B; Siddique M; Mak SM; Nair A; Mclean E; Bille A; Goh V; Cook G
    Br J Radiol; 2019 Jul; 92(1099):20190159. PubMed ID: 31166787
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
    Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
    Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small cell lung cancer in CT images.
    Gong J; Fu F; Ma X; Wang T; Ma X; You C; Zhang Y; Peng W; Chen H; Gu Y
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972417
    [No Abstract]   [Full Text] [Related]  

  • 25. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
    Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
    Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Machine Learning Approach Using PET/CT-based Radiomics for Prediction of PD-L1 Expression in Non-small Cell Lung Cancer.
    Lim CH; Koh YW; Hyun SH; Lee SJ
    Anticancer Res; 2022 Dec; 42(12):5875-5884. PubMed ID: 36456151
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
    Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
    Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Introducing radiomics model to predict active plaque in multiple sclerosis patients using magnetic resonance images.
    Khajetash B; Talebi A; Bagherpour Z; Abbaspour S; Tavakoli M
    Biomed Phys Eng Express; 2023 Jul; 9(5):. PubMed ID: 37379814
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images.
    Shiri I; Amini M; Nazari M; Hajianfar G; Haddadi Avval A; Abdollahi H; Oveisi M; Arabi H; Rahmim A; Zaidi H
    Comput Biol Med; 2022 Mar; 142():105230. PubMed ID: 35051856
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on
    Huang Y; Jiang X; Xu H; Zhang D; Liu LN; Xia YX; Xu DK; Wu HJ; Cheng G; Shi YH
    Clin Radiol; 2023 Jan; 78(1):8-17. PubMed ID: 36192203
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Dosiomics and radiomics improve the prediction of post-radiotherapy neutrophil-lymphocyte ratio in locally advanced non-small cell lung cancer.
    Hou R; Xia W; Zhang C; Shao Y; Zhu X; Feng W; Zhang Q; Yu W; Fu X; Zhao J
    Med Phys; 2024 Jan; 51(1):650-661. PubMed ID: 37963229
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Preoperative CT-based radiomic prognostic index to predict the benefit of postoperative radiotherapy in patients with non-small cell lung cancer: a multicenter study.
    Ma Z; Men Y; Liu Y; Bao Y; Liu Q; Yang X; Wang J; Deng L; Zhai Y; Bi N; Wang L; Hui Z
    Cancer Imaging; 2024 May; 24(1):61. PubMed ID: 38741207
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.
    E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
    Acad Radiol; 2019 Sep; 26(9):1245-1252. PubMed ID: 30502076
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images.
    Zhang J; Jin J; Ai Y; Zhu K; Xiao C; Xie C; Jin X
    Eur Radiol; 2021 Feb; 31(2):1022-1028. PubMed ID: 32822055
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Application of radiomics based on chest CT-enhanced dual-phase imaging in the immunotherapy of non-small cell lung cancer.
    Ma ZP; Li XL; Gao K; Zhang TL; Wang HD; Zhao YX
    J Xray Sci Technol; 2023; 31(6):1333-1340. PubMed ID: 37840466
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
    Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
    Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Feature selection methodology for longitudinal cone-beam CT radiomics.
    van Timmeren JE; Leijenaar RTH; van Elmpt W; Reymen B; Lambin P
    Acta Oncol; 2017 Nov; 56(11):1537-1543. PubMed ID: 28826307
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
    Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD; Rajiah P; Gilkeson R; Feldman MD; Choi H; Velcheti V; Madabhushi A
    Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 33334576
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.