202 related articles for article (PubMed ID: 34655310)
1. MRI-based radiomics signature and clinical factor for predicting H3K27M mutation in pediatric high-grade gliomas located in the midline of the brain.
Wu C; Zheng H; Li J; Zhang Y; Duan S; Li Y; Wang D
Eur Radiol; 2022 Mar; 32(3):1813-1822. PubMed ID: 34655310
[TBL] [Abstract][Full Text] [Related]
2. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
Kandemirli SG; Kocak B; Naganawa S; Ozturk K; Yip SSF; Chopra S; Rivetti L; Aldine AS; Jones K; Cayci Z; Moritani T; Sato TS
World Neurosurg; 2021 Jul; 151():e78-e85. PubMed ID: 33819703
[TBL] [Abstract][Full Text] [Related]
3. A nomogram strategy for identifying the subclassification of IDH mutation and ATRX expression loss in lower-grade gliomas.
Wu S; Zhang X; Rui W; Sheng Y; Yu Y; Zhang Y; Yao Z; Qiu T; Ren Y
Eur Radiol; 2022 May; 32(5):3187-3198. PubMed ID: 35133485
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Multiparametric MRI-based radiomics nomogram for predicting malignant transformation of sinonasal inverted papilloma.
Xia Z; Lin N; Chen W; Qi M; Sha Y
Clin Radiol; 2024 Mar; 79(3):e408-e416. PubMed ID: 38142140
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study.
Lu J; Xu W; Chen X; Wang T; Li H
Magn Reson Imaging; 2023 Dec; 104():72-79. PubMed ID: 37778708
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
[TBL] [Abstract][Full Text] [Related]
9. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB
Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020
[TBL] [Abstract][Full Text] [Related]
10. A radiomics feature-based nomogram to predict telomerase reverse transcriptase promoter mutation status and the prognosis of lower-grade gliomas.
Lu J; Li X; Li H
Clin Radiol; 2022 Aug; 77(8):e560-e567. PubMed ID: 35595562
[TBL] [Abstract][Full Text] [Related]
11. An MRI-based radiomics signature as a pretreatment noninvasive predictor of overall survival and chemotherapeutic benefits in lower-grade gliomas.
Wang J; Zheng X; Zhang J; Xue H; Wang L; Jing R; Chen S; Che F; Heng X; Li G; Xue F
Eur Radiol; 2021 Apr; 31(4):1785-1794. PubMed ID: 33409797
[TBL] [Abstract][Full Text] [Related]
12. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
[TBL] [Abstract][Full Text] [Related]
13. Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas.
Yang N; Xiao X; Gu G; Wang X; Zhang X; Wang Y; Pan C; Zhang P; Ma L; Zhang L; Liao H
Radiother Oncol; 2023 Sep; 186():109789. PubMed ID: 37414255
[TBL] [Abstract][Full Text] [Related]
14. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
[TBL] [Abstract][Full Text] [Related]
15. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
[TBL] [Abstract][Full Text] [Related]
16. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
17. Predicting histological grade in pediatric glioma using multiparametric radiomics and conventional MRI features.
Zhou T; Qiao B; Peng B; Liu Y; Gong Z; Kang M; He Y; Pang C; Dai Y; Sheng M
Sci Rep; 2024 Jun; 14(1):13683. PubMed ID: 38871755
[TBL] [Abstract][Full Text] [Related]
18. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.
Wu S; Zheng J; Li Y; Wu Z; Shi S; Huang M; Yu H; Dong W; Huang J; Lin T
EBioMedicine; 2018 Aug; 34():76-84. PubMed ID: 30078735
[TBL] [Abstract][Full Text] [Related]
20. Combining Multiparametric MRI Radiomics Signature With the Vesical Imaging-Reporting and Data System (VI-RADS) Score to Preoperatively Differentiate Muscle Invasion of Bladder Cancer.
Zheng Z; Xu F; Gu Z; Yan Y; Xu T; Liu S; Yao X
Front Oncol; 2021; 11():619893. PubMed ID: 34055600
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
