261 related articles for article (PubMed ID: 37552258)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. Elaboration of Multiparametric MRI-Based Radiomics Signature for the Preoperative Quantitative Identification of the Histological Grade in Patients With Non-Small-Cell Lung Cancer.
Tang X; Bai G; Wang H; Guo F; Yin H
J Magn Reson Imaging; 2022 Aug; 56(2):579-589. PubMed ID: 35040525
[TBL] [Abstract][Full Text] [Related]
12. A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors.
Liang W; Yang P; Huang R; Xu L; Wang J; Liu W; Zhang L; Wan D; Huang Q; Lu Y; Kuang Y; Niu T
Clin Cancer Res; 2019 Jan; 25(2):584-594. PubMed ID: 30397175
[TBL] [Abstract][Full Text] [Related]
13. Radiomics analysis of multiparametric MRI for the preoperative evaluation of pathological grade in bladder cancer tumors.
Wang H; Hu D; Yao H; Chen M; Li S; Chen H; Luo J; Feng Y; Guo Y
Eur Radiol; 2019 Nov; 29(11):6182-6190. PubMed ID: 31016445
[TBL] [Abstract][Full Text] [Related]
14. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
Lin K; Cidan W; Qi Y; Wang X
Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
[TBL] [Abstract][Full Text] [Related]
15. A preoperative computed tomography radiomics model to predict disease-free survival in patients with pancreatic neuroendocrine tumors.
Homps M; Soyer P; Coriat R; Dermine S; Pellat A; Fuks D; Marchese U; Terris B; Groussin L; Dohan A; Barat M
Eur J Endocrinol; 2023 Oct; 189(4):476-484. PubMed ID: 37787635
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. International Validation of a Nomogram to Predict Recurrence after Resection of Grade 1 and 2 Nonfunctioning Pancreatic Neuroendocrine Tumors.
Heidsma CM; van Roessel S; van Dieren S; Engelsman AF; Strobel O; Buechler MW; Schimmack S; Perinel J; Adham M; Deshpande V; Kjaer J; Norlen O; Gill AJ; Samra JS; Mittal A; Hoogwater FJH; Primavesi F; Stättner S; Besselink MG; van Eijck CHJ; Nieveen van Dijkum EJM
Neuroendocrinology; 2022; 112(6):571-579. PubMed ID: 34343138
[TBL] [Abstract][Full Text] [Related]
18. The diagnostic value of intravoxel incoherent motion diffusion-weighted imaging for distinguishing nonhypervascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas.
Zeng P; Ma L; Liu J; Song Z; Liu J; Yuan H
Eur J Radiol; 2022 May; 150():110261. PubMed ID: 35316674
[TBL] [Abstract][Full Text] [Related]
19. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
Tong P; Sun D; Chen G; Ni J; Li Y
BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
[TBL] [Abstract][Full Text] [Related]
20. Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.
Wu M; Tan H; Gao F; Hai J; Ning P; Chen J; Zhu S; Wang M; Dou S; Shi D
Eur Radiol; 2019 Jun; 29(6):2802-2811. PubMed ID: 30406313
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]