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.
237 related articles for article (PubMed ID: 33307462)
1. Distinguishing brain inflammation from grade II glioma in population without contrast enhancement: a radiomics analysis based on conventional MRI. Han Y; Yang Y; Shi ZS; Zhang AD; Yan LF; Hu YC; Feng LL; Ma J; Wang W; Cui GB Eur J Radiol; 2021 Jan; 134():109467. PubMed ID: 33307462 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma. Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146 [TBL] [Abstract][Full Text] [Related]
4. [Radiomics models based on non-enhanced MRI can differentiate chondrosarcoma from enchondroma]. Pan J; Jiang Y; Zhan Y; Zuo P; Fang Y; Li S; Hong G Nan Fang Yi Ke Da Xue Xue Bao; 2020 Apr; 40(4):483-490. PubMed ID: 32895139 [TBL] [Abstract][Full Text] [Related]
5. MR-based radiomics signature in differentiating ocular adnexal lymphoma from idiopathic orbital inflammation. Guo J; Liu Z; Shen C; Li Z; Yan F; Tian J; Xian J Eur Radiol; 2018 Sep; 28(9):3872-3881. PubMed ID: 29632999 [TBL] [Abstract][Full Text] [Related]
6. Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study. Cheng J; Su W; Wang Y; Zhan Y; Wang Y; Yan S; Yuan Y; Chen L; Wei Z; Zhang S; Gao X; Tang Z Jpn J Radiol; 2024 Jul; 42(7):709-719. PubMed ID: 38409300 [TBL] [Abstract][Full Text] [Related]
7. Radiomics Nomograms Based on Non-enhanced MRI and Clinical Risk Factors for the Differentiation of Chondrosarcoma from Enchondroma. Pan J; Zhang K; Le H; Jiang Y; Li W; Geng Y; Li S; Hong G J Magn Reson Imaging; 2021 Oct; 54(4):1314-1323. PubMed ID: 33949727 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status. He J; Ren J; Niu G; Liu A; Wu Q; Xie S; Ma X; Li B; Wang P; Shen J; Wu J; Gao Y BMC Med Imaging; 2022 Aug; 22(1):137. PubMed ID: 35931979 [TBL] [Abstract][Full Text] [Related]
10. Radiomics analysis of T1WI and T2WI magnetic resonance images to differentiate between IgG4-related ophthalmic disease and orbital MALT lymphoma. Shao Y; Chen Y; Chen S; Wei R BMC Ophthalmol; 2023 Jun; 23(1):288. PubMed ID: 37353736 [TBL] [Abstract][Full Text] [Related]
11. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas. Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598 [TBL] [Abstract][Full Text] [Related]
12. Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas. Kong Z; Jiang C; Zhang Y; Liu S; Liu D; Liu Z; Chen W; Liu P; Yang T; Lyu Y; Zhao D; You H; Wang Y; Ma W; Feng F Front Neurol; 2020; 11():551771. PubMed ID: 33192984 [No Abstract] [Full Text] [Related]
13. Do the combination of multiparametric MRI-based radiomics and selected blood inflammatory markers predict the grade and proliferation in glioma patients? Guo J; Ren J; Shen J; Cheng R; He Y Diagn Interv Radiol; 2021 May; 27(3):440-449. PubMed ID: 33769289 [TBL] [Abstract][Full Text] [Related]
14. Magnetic resonance imaging based radiomics signature for the preoperative discrimination of stage I-II and III-IV head and neck squamous cell carcinoma. Ren J; Tian J; Yuan Y; Dong D; Li X; Shi Y; Tao X Eur J Radiol; 2018 Sep; 106():1-6. PubMed ID: 30150029 [TBL] [Abstract][Full Text] [Related]
15. Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas. Han Y; Xie Z; Zang Y; Zhang S; Gu D; Zhou M; Gevaert O; Wei J; Li C; Chen H; Du J; Liu Z; Dong D; Tian J; Zhou D J Neurooncol; 2018 Nov; 140(2):297-306. PubMed ID: 30097822 [TBL] [Abstract][Full Text] [Related]
16. [Prediction of 1p/19q codeletion status in diffuse lower-grade glioma using multimodal MRI radiomics]. Lu M; Qu Y; Ma A; Zhu J; Zou X; Lin G; Li Y; Liu X; Wen Z Nan Fang Yi Ke Da Xue Xue Bao; 2023 Jun; 43(6):1023-1028. PubMed ID: 37439176 [TBL] [Abstract][Full Text] [Related]
17. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer. Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459 [TBL] [Abstract][Full Text] [Related]
18. Predictive value of magnetic resonance imaging radiomics-based machine learning for disease progression in patients with high-grade glioma. Li Z; Chen L; Song Y; Dai G; Duan L; Luo Y; Wang G; Xiao Q; Li G; Bai S Quant Imaging Med Surg; 2023 Jan; 13(1):224-236. PubMed ID: 36620140 [TBL] [Abstract][Full Text] [Related]
19. Multiparametric MRI radiomics for the differentiation of brain glial cell hyperplasia from low-grade glioma. Gu S; Qian J; Yang L; Sun Z; Hu C; Wang X; Hu S; Xie Y BMC Med Imaging; 2023 Aug; 23(1):116. PubMed ID: 37653513 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]