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 *

179 related articles for article (PubMed ID: 31296889)

  • 21. Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm.
    Liu L; Kuang L; Ji Y
    Comput Math Methods Med; 2020; 2020():8620403. PubMed ID: 32714431
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
    Kan Y; Zhang Q; Hao J; Wang W; Zhuang J; Gao J; Huang H; Liang J; Marra G; Calleris G; Oderda M; Zhao X; Gontero P; Guo H
    Eur Radiol; 2020 Nov; 30(11):6274-6284. PubMed ID: 32524222
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma.
    Fathi Kazerooni A; Akbari H; Shukla G; Badve C; Rudie JD; Sako C; Rathore S; Bakas S; Pati S; Singh A; Bergman M; Ha SM; Kontos D; Nasrallah M; Bagley SJ; Lustig RA; O'Rourke DM; Sloan AE; Barnholtz-Sloan JS; Mohan S; Bilello M; Davatzikos C
    JCO Clin Cancer Inform; 2020 Mar; 4():234-244. PubMed ID: 32191542
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.
    Cordova JS; Shu HK; Liang Z; Gurbani SS; Cooper LA; Holder CA; Olson JJ; Kairdolf B; Schreibmann E; Neill SG; Hadjipanayis CG; Shim H
    Neuro Oncol; 2016 Aug; 18(8):1180-9. PubMed ID: 26984746
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Distinguishing Tumor Recurrence From Radiation Necrosis in Treated Glioblastoma Using Multiparametric MRI.
    Feng A; Yuan P; Huang T; Li L; Lyu J
    Acad Radiol; 2022 Sep; 29(9):1320-1331. PubMed ID: 34896001
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas.
    de Godoy LL; Mohan S; Wang S; Nasrallah MP; Sakai Y; O'Rourke DM; Bagley S; Desai A; Loevner LA; Poptani H; Chawla S
    J Transl Med; 2023 Apr; 21(1):287. PubMed ID: 37118754
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T
    Sun YZ; Yan LF; Han Y; Nan HY; Xiao G; Tian Q; Pu WH; Li ZY; Wei XC; Wang W; Cui GB
    BMC Med Imaging; 2021 Feb; 21(1):17. PubMed ID: 33535988
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.
    Patel M; Zhan J; Natarajan K; Flintham R; Davies N; Sanghera P; Grist J; Duddalwar V; Peet A; Sawlani V
    Clin Radiol; 2021 Aug; 76(8):628.e17-628.e27. PubMed ID: 33941364
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Assessment of treatment response to dendritic cell vaccine in patients with glioblastoma using a multiparametric MRI-based prediction model.
    de Godoy LL; Chawla S; Brem S; Wang S; O'Rourke DM; Nasrallah MP; Desai A; Loevner LA; Liau LM; Mohan S
    J Neurooncol; 2023 May; 163(1):173-183. PubMed ID: 37129737
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques.
    Bathla G; Priya S; Liu Y; Ward C; Le NH; Soni N; Maheshwarappa RP; Monga V; Zhang H; Sonka M
    Eur Radiol; 2021 Nov; 31(11):8703-8713. PubMed ID: 33890149
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. 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]  

  • 34. Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme.
    Stringfield O; Arrington JA; Johnston SK; Rognin NG; Peeri NC; Balagurunathan Y; Jackson PR; Clark-Swanson KR; Swanson KR; Egan KM; Gatenby RA; Raghunand N
    Tomography; 2019 Mar; 5(1):135-144. PubMed ID: 30854451
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Differentiation between treatment-related changes and progressive disease in patients with high grade brain tumors using support vector machine classification based on DCE MRI.
    Artzi M; Liberman G; Nadav G; Blumenthal DT; Bokstein F; Aizenstein O; Ben Bashat D
    J Neurooncol; 2016 May; 127(3):515-24. PubMed ID: 26754857
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma.
    Akbari H; Rathore S; Bakas S; Nasrallah MP; Shukla G; Mamourian E; Rozycki M; Bagley SJ; Rudie JD; Flanders AE; Dicker AP; Desai AS; O'Rourke DM; Brem S; Lustig R; Mohan S; Wolf RL; Bilello M; Martinez-Lage M; Davatzikos C
    Cancer; 2020 Jun; 126(11):2625-2636. PubMed ID: 32129893
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Multiparametric-MRI-Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross-Vendor Validation.
    Xia W; Hu B; Li H; Geng C; Wu Q; Yang L; Yin B; Gao X; Li Y; Geng D
    J Magn Reson Imaging; 2021 Jan; 53(1):242-250. PubMed ID: 32864825
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.
    Peeken JC; Goldberg T; Pyka T; Bernhofer M; Wiestler B; Kessel KA; Tafti PD; Nüsslin F; Braun AE; Zimmer C; Rost B; Combs SE
    Cancer Med; 2019 Jan; 8(1):128-136. PubMed ID: 30561851
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Differentiation of Pilocytic Astrocytoma from Glioblastoma using a Machine-Learning framework based upon quantitative T1 perfusion MRI.
    Vats N; Sengupta A; Gupta RK; Patir R; Vaishya S; Ahlawat S; Saini J; Agarwal S; Singh A
    Magn Reson Imaging; 2023 May; 98():76-82. PubMed ID: 36572323
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.
    Gatidis S; Scharpf M; Martirosian P; Bezrukov I; Küstner T; Hennenlotter J; Kruck S; Kaufmann S; Schraml C; la Fougère C; Schwenzer NF; Schmidt H
    NMR Biomed; 2015 Jul; 28(7):914-22. PubMed ID: 26014883
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.