153 related articles for article (PubMed ID: 36147928)
1. Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading.
Zhang Z; Gu W; Hu M; Zhang G; Yu F; Xu J; Deng J; Xu L; Mei J; Wang C; Qiu F
Front Oncol; 2022; 12():696037. PubMed ID: 36147928
[TBL] [Abstract][Full Text] [Related]
2. Prognostic factors and clinical nomogram predicting survival in high-grade glioma.
Tunthanathip T; Ratanalert S; Sae-Heng S; Oearsakul T; Sakarunchai I; Kaewborisutsakul A; Chotsampancharoen T; Intusoma U; Kitkhuandee A; Vaniyapong T
J Cancer Res Ther; 2021; 17(4):1052-1058. PubMed ID: 34528563
[TBL] [Abstract][Full Text] [Related]
3. A Nomogram for Predicting Early Recurrence in Patients with High-Grade Gliomas.
Zhou Q; Ke X; Xue C; Li S; Huang X; Zhang B; Zhou J
World Neurosurg; 2022 Aug; 164():e619-e628. PubMed ID: 35589036
[TBL] [Abstract][Full Text] [Related]
4. Expression of YAP1 and pSTAT3-S727 and their prognostic value in glioma.
Sang W; Xue J; Su LP; Gulinar A; Wang Q; Zhai YY; Hu YR; Gao HX; Li X; Li QX; Zhang W
J Clin Pathol; 2021 Aug; 74(8):513-521. PubMed ID: 33020176
[TBL] [Abstract][Full Text] [Related]
5. Association between small heat shock protein B11 and the prognostic value of MGMT promoter methylation in patients with high-grade glioma.
Cheng W; Li M; Jiang Y; Zhang C; Cai J; Wang K; Wu A
J Neurosurg; 2016 Jul; 125(1):7-16. PubMed ID: 26544773
[TBL] [Abstract][Full Text] [Related]
6. Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging.
Li S; Zheng Y; Sun W; Lasič S; Szczepankiewicz F; Wei Q; Han S; Zhang S; Zhong X; Wang L; Li H; Cai Y; Xu D; Li Z; He Q; van Westen D; Bryskhe K; Topgaard D; Xu H
Eur Radiol; 2021 Nov; 31(11):8197-8207. PubMed ID: 33914116
[TBL] [Abstract][Full Text] [Related]
7. A Nomogram for Predicting Individual Prognosis of Patients with Low-Grade Glioma.
Zhao YY; Chen SH; Hao Z; Zhu HX; Xing ZL; Li MH
World Neurosurg; 2019 Oct; 130():e605-e612. PubMed ID: 31319188
[TBL] [Abstract][Full Text] [Related]
8. A Nomogram for Preoperatively Predicting the Ki-67 Index of a Pituitary Tumor: A Retrospective Cohort Study.
Cai X; Zhu J; Yang J; Tang C; Yuan F; Cong Z; Ma C
Front Oncol; 2021; 11():687333. PubMed ID: 34136412
[TBL] [Abstract][Full Text] [Related]
9. Monoexponential, biexponential and stretched exponential models of diffusion weighted magnetic resonance imaging in glioma in relation to histopathologic grade and Ki-67 labeling index using high B values.
Chaudhary N; Zhang G; Li S; Zhu W
Am J Transl Res; 2021; 13(11):12480-12494. PubMed ID: 34956467
[TBL] [Abstract][Full Text] [Related]
10. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
[TBL] [Abstract][Full Text] [Related]
11. Predictive value of preoperative peripheral blood neutrophil/lymphocyte ratio for lymph node metastasis in patients of resectable pancreatic neuroendocrine tumors: a nomogram-based study.
Tong Z; Liu L; Zheng Y; Jiang W; Zhao P; Fang W; Wang W
World J Surg Oncol; 2017 May; 15(1):108. PubMed ID: 28558772
[TBL] [Abstract][Full Text] [Related]
12. Main genetic differences in high-grade gliomas may present different MR imaging and MR spectroscopy correlates.
Bernabéu-Sanz Á; Fuentes-Baile M; Alenda C
Eur Radiol; 2021 Feb; 31(2):749-763. PubMed ID: 32875375
[TBL] [Abstract][Full Text] [Related]
13. Association Between Oral Microbiota and Human Brain Glioma Grade: A Case-Control Study.
Wen Y; Feng L; Wang H; Zhou H; Li Q; Zhang W; Wang M; Li Y; Luan X; Jiang Z; Chen L; Zhou J
Front Microbiol; 2021; 12():746568. PubMed ID: 34733261
[TBL] [Abstract][Full Text] [Related]
14. In vitro neurosphere formation correlates with poor survival in glioma.
C Jayakrishnan P; H Venkat E; M Ramachandran G; K Kesavapisharady K; N Nair S; Bharathan B; Radhakrishnan N; Gopala S
IUBMB Life; 2019 Feb; 71(2):244-253. PubMed ID: 30393962
[TBL] [Abstract][Full Text] [Related]
15. 3D-ASL perfusion correlates with VEGF expression and overall survival in glioma patients: Comparison of quantitative perfusion and pathology on accurate spatial location-matched basis.
Pang H; Dang X; Ren Y; Zhuang D; Qiu T; Chen H; Zhang J; Ma N; Li G; Zhang J; Wu J; Feng X
J Magn Reson Imaging; 2019 Jul; 50(1):209-220. PubMed ID: 30652410
[TBL] [Abstract][Full Text] [Related]
16. Nomogram to Predict Tumor-Infiltrating Lymphocytes in Breast Cancer Patients.
Feng J; Li J; Huang X; Yi J; Wu H; Zou X; Zhong W; Wang X
Front Mol Biosci; 2021; 8():761163. PubMed ID: 34901155
[No Abstract] [Full Text] [Related]
17. The Ki-67 Proliferation Index-Related Nomogram to Predict the Response of First-Line Tyrosine Kinase Inhibitors or Chemotherapy in Non-small Cell Lung Cancer Patients With Epidermal Growth Factor Receptor-Mutant Status.
Gu W; Hu M; Xu L; Ren Y; Mei J; Wang W; Wang C
Front Med (Lausanne); 2021; 8():728575. PubMed ID: 34805200
[No Abstract] [Full Text] [Related]
18. MRI-suspected low-grade glioma: is there a need to perform dynamic FET PET?
Jansen NL; Graute V; Armbruster L; Suchorska B; Lutz J; Eigenbrod S; Cumming P; Bartenstein P; Tonn JC; Kreth FW; la Fougère C
Eur J Nucl Med Mol Imaging; 2012 Jun; 39(6):1021-9. PubMed ID: 22491781
[TBL] [Abstract][Full Text] [Related]
19. Nomogram Model for Predicting the Prognosis of High-Grade Glioma in Adults Receiving Standard Treatment: A Retrospective Cohort Study.
Du P; Yang X; Shen L; Chen J; Liu X; Wu X; Cao A; Geng D
J Clin Med; 2022 Dec; 12(1):. PubMed ID: 36614997
[TBL] [Abstract][Full Text] [Related]
20. Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer.
Liu J; Wang X; Hu M; Zheng Y; Zhu L; Wang W; Hu J; Zhou Z; Dai Y; Dong F
Front Oncol; 2022; 12():963925. PubMed ID: 36046035
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]