364 related articles for article (PubMed ID: 33192984)
1. 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]
2. Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomas.
Jiang C; Kong Z; Zhang Y; Liu S; Liu Z; Chen W; Liu P; Liu D; Wang Y; Lyu Y; Zhao D; Wang Y; You H; Feng F; Ma W
Neuroradiology; 2020 Jul; 62(7):803-813. PubMed ID: 32239241
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients.
Casale R; Lavrova E; Sanduleanu S; Woodruff HC; Lambin P
Eur J Radiol; 2021 Jun; 139():109678. PubMed ID: 33848780
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Preoperative Radiomics Analysis of 1p/19q Status in WHO Grade II Gliomas.
Fan Z; Sun Z; Fang S; Li Y; Liu X; Liang Y; Liu Y; Zhou C; Zhu Q; Zhang H; Li T; Li S; Jiang T; Wang Y; Wang L
Front Oncol; 2021; 11():616740. PubMed ID: 34295805
[TBL] [Abstract][Full Text] [Related]
7. MRI radiomics analysis of molecular alterations in low-grade gliomas.
Shofty B; Artzi M; Ben Bashat D; Liberman G; Haim O; Kashanian A; Bokstein F; Blumenthal DT; Ram Z; Shahar T
Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):563-571. PubMed ID: 29270916
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.
Tang WT; Su CQ; Lin J; Xia ZW; Lu SS; Hong XN
Clin Radiol; 2024 May; 79(5):e750-e758. PubMed ID: 38360515
[TBL] [Abstract][Full Text] [Related]
10. [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]
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. 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]
13. Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm.
van der Voort SR; Incekara F; Wijnenga MMJ; Kapas G; Gardeniers M; Schouten JW; Starmans MPA; Nandoe Tewarie R; Lycklama GJ; French PJ; Dubbink HJ; van den Bent MJ; Vincent AJPE; Niessen WJ; Klein S; Smits M
Clin Cancer Res; 2019 Dec; 25(24):7455-7462. PubMed ID: 31548344
[TBL] [Abstract][Full Text] [Related]
14. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
15. Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas.
Kha QH; Le VH; Hung TNK; Le NQK
Cancers (Basel); 2021 Oct; 13(21):. PubMed ID: 34771562
[TBL] [Abstract][Full Text] [Related]
16. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.
Yin P; Mao N; Zhao C; Wu J; Chen L; Hong N
J Magn Reson Imaging; 2019 Mar; 49(3):752-759. PubMed ID: 30430686
[TBL] [Abstract][Full Text] [Related]
17. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Impact of gross total resection in patients with WHO grade III glioma harboring the IDH 1/2 mutation without the 1p/19q co-deletion.
Kawaguchi T; Sonoda Y; Shibahara I; Saito R; Kanamori M; Kumabe T; Tominaga T
J Neurooncol; 2016 Sep; 129(3):505-514. PubMed ID: 27401154
[TBL] [Abstract][Full Text] [Related]
20. Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma.
Zhang L; Giuste F; Vizcarra JC; Li X; Gutman D
Front Oncol; 2020; 10():937. PubMed ID: 32676453
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
