BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 32037260)

  • 1. CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor.
    Zhao Z; Bian Y; Jiang H; Fang X; Li J; Cao K; Ma C; Wang L; Zheng J; Yue X; Zhang H; Wang X; Madabhushi A; Xu J; Jin G; Lu J
    Acad Radiol; 2020 Dec; 27(12):e272-e281. PubMed ID: 32037260
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preoperative Prediction of G1 and G2/3 Grades in Patients With Nonfunctional Pancreatic Neuroendocrine Tumors Using Multimodality Imaging.
    Liu C; Bian Y; Meng Y; Liu F; Cao K; Zhang H; Fang X; Li J; Yu J; Feng X; Ma C; Lu J; Xu J; Shao C
    Acad Radiol; 2022 Apr; 29(4):e49-e60. PubMed ID: 34175209
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accurate non-invasive grading of nonfunctional pancreatic neuroendocrine tumors with a CT derived radiomics signature.
    Javed AA; Zhu Z; Kinny-Köster B; Habib JR; Kawamoto S; Hruban RH; Fishman EK; Wolfgang CL; He J; Chu LC
    Diagn Interv Imaging; 2024 Jan; 105(1):33-39. PubMed ID: 37598013
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
    Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors.
    Bian Y; Zhao Z; Jiang H; Fang X; Li J; Cao K; Ma C; Guo S; Wang L; Jin G; Lu J; Xu J
    J Magn Reson Imaging; 2020 Oct; 52(4):1124-1136. PubMed ID: 32343872
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs.
    Bian Y; Li J; Cao K; Fang X; Jiang H; Ma C; Jin G; Lu J; Wang L
    Abdom Radiol (NY); 2021 Feb; 46(2):667-680. PubMed ID: 32808056
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pancreatic neuroendocrine tumor: prediction of tumor grades by radiomics models based on ultrasound images.
    Dong Y; Yang DH; Tian XF; Lou WH; Wang HZ; Chen S; Qiu YJ; Wang W; Dietrich CF
    Br J Radiol; 2023 Sep; 96(1149):20220783. PubMed ID: 37393539
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CT-Based Radiomics Score for Distinguishing Between Grade 1 and Grade 2 Nonfunctioning Pancreatic Neuroendocrine Tumors.
    Bian Y; Jiang H; Ma C; Wang L; Zheng J; Jin G; Lu J
    AJR Am J Roentgenol; 2020 Oct; 215(4):852-863. PubMed ID: 32755201
    [No Abstract]   [Full Text] [Related]  

  • 9. Machine Learning Methods Based on CT Features Differentiate G1/G2 From G3 Pancreatic Neuroendocrine Tumors.
    Chen HY; Pan Y; Chen JY; Chen J; Liu LL; Yang YB; Li K; Ma Q; Shi L; Yu RS; Shao GL
    Acad Radiol; 2024 May; 31(5):1898-1905. PubMed ID: 38052672
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics analysis from magnetic resonance imaging in predicting the grade of nonfunctioning pancreatic neuroendocrine tumors: a multicenter study.
    Zhu HB; Zhu HT; Jiang L; Nie P; Hu J; Tang W; Zhang XY; Li XT; Yao Q; Sun YS
    Eur Radiol; 2024 Jan; 34(1):90-102. PubMed ID: 37552258
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of the characteristics of aggressiveness of pancreatic neuroendocrine neoplasms (PanNENs) based on CT radiomic features.
    Mori M; Palumbo D; Muffatti F; Partelli S; Mushtaq J; Andreasi V; Prato F; Ubeira MG; Palazzo G; Falconi M; Fiorino C; De Cobelli F
    Eur Radiol; 2023 Jun; 33(6):4412-4421. PubMed ID: 36547673
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A radiomics-based interpretable model to predict the pathological grade of pancreatic neuroendocrine tumors.
    Ye JY; Fang P; Peng ZP; Huang XT; Xie JZ; Yin XY
    Eur Radiol; 2024 Mar; 34(3):1994-2005. PubMed ID: 37658884
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Pancreatic neuroendocrine tumors containing areas of iso- or hypoattenuation in dynamic contrast-enhanced computed tomography: Spectrum of imaging findings and pathological grading.
    Hyodo R; Suzuki K; Ogawa H; Komada T; Naganawa S
    Eur J Radiol; 2015 Nov; 84(11):2103-9. PubMed ID: 26321494
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative prediction of pancreatic neuroendocrine tumor grade based on
    Ma J; Wang X; Tang M; Zhang C
    Endocrine; 2024 Feb; 83(2):502-510. PubMed ID: 37715934
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of low dose pancreas perfusion CT combined with enhancement scanning in diagnosis of pancreatic neuroendocrine tumors.
    Wan Y; Hao H; Meng S; Li Z; Yu F; Meng Chi ; Chao Q; Gao J
    Pancreatology; 2021 Jan; 21(1):240-245. PubMed ID: 33191144
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Textural analysis on contrast-enhanced CT in pancreatic neuroendocrine neoplasms: association with WHO grade.
    Guo C; Zhuge X; Wang Z; Wang Q; Sun K; Feng Z; Chen X
    Abdom Radiol (NY); 2019 Feb; 44(2):576-585. PubMed ID: 30182253
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas.
    Song T; Zhang QW; Duan SF; Bian Y; Hao Q; Xing PY; Wang TG; Chen LG; Ma C; Lu JP
    BMC Med Imaging; 2021 Feb; 21(1):36. PubMed ID: 33622277
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Usefulness of texture analysis for grading pancreatic neuroendocrine tumors on contrast-enhanced computed tomography and apparent diffusion coefficient maps.
    Ohki K; Igarashi T; Ashida H; Takenaga S; Shiraishi M; Nozawa Y; Ojiri H
    Jpn J Radiol; 2021 Jan; 39(1):66-75. PubMed ID: 32885378
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of Radiomics Analysis Based on CT Combined With Machine Learning in Diagnostic of Pancreatic Neuroendocrine Tumors Patient's Pathological Grades.
    Zhang T; Zhang Y; Liu X; Xu H; Chen C; Zhou X; Liu Y; Ma X
    Front Oncol; 2020; 10():521831. PubMed ID: 33643890
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.