278 related articles for article (PubMed ID: 34970824)
1. MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.
Liao H; Chen X; Lu S; Jin G; Pei W; Li Y; Wei Y; Huang X; Wang C; Liang X; Bao H; Liu L; Su D
J Magn Reson Imaging; 2022 Aug; 56(2):547-559. PubMed ID: 34970824
[TBL] [Abstract][Full Text] [Related]
2. MRI-based random survival Forest model improves prediction of progression-free survival to induction chemotherapy plus concurrent Chemoradiotherapy in Locoregionally Advanced nasopharyngeal carcinoma.
Pei W; Wang C; Liao H; Chen X; Wei Y; Huang X; Liang X; Bao H; Su D; Jin G
BMC Cancer; 2022 Jul; 22(1):739. PubMed ID: 35794590
[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. MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.
Zhang L; Wu X; Liu J; Zhang B; Mo X; Chen Q; Fang J; Wang F; Li M; Chen Z; Liu S; Chen L; You J; Jin Z; Tang B; Dong D; Zhang S
J Magn Reson Imaging; 2021 Jan; 53(1):167-178. PubMed ID: 32776391
[TBL] [Abstract][Full Text] [Related]
5. Nomograms based on multiparametric MRI radiomics integrated with clinical-radiological features for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.
Chen Z; Wang Z; Liu S; Zhang S; Zhou Y; Zhang R; Yang W
Eur J Radiol; 2024 Jun; 175():111438. PubMed ID: 38613869
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959).
Dong D; Zhang F; Zhong LZ; Fang MJ; Huang CL; Yao JJ; Sun Y; Tian J; Ma J; Tang LL
BMC Med; 2019 Oct; 17(1):190. PubMed ID: 31640711
[TBL] [Abstract][Full Text] [Related]
7. Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate Prognostication.
Wu S; Li H; Dong A; Tian L; Ruan G; Liu L; Shao Y
J Magn Reson Imaging; 2021 Sep; 54(3):854-865. PubMed ID: 33830573
[TBL] [Abstract][Full Text] [Related]
8. Pretreatment MRI-Derived Radiomics May Evaluate the Response of Different Induction Chemotherapy Regimens in Locally advanced Nasopharyngeal Carcinoma.
Zhang L; Ye Z; Ruan L; Jiang M
Acad Radiol; 2020 Dec; 27(12):1655-1664. PubMed ID: 33004261
[TBL] [Abstract][Full Text] [Related]
9. Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment.
Bao D; Liu Z; Geng Y; Li L; Xu H; Zhang Y; Hu L; Zhao X; Zhao Y; Luo D
Cancer Imaging; 2022 Jan; 22(1):10. PubMed ID: 35090572
[TBL] [Abstract][Full Text] [Related]
10. MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma.
Zhao L; Gong J; Xi Y; Xu M; Li C; Kang X; Yin Y; Qin W; Yin H; Shi M
Eur Radiol; 2020 Jan; 30(1):537-546. PubMed ID: 31372781
[TBL] [Abstract][Full Text] [Related]
11. Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.
Peng H; Dong D; Fang MJ; Li L; Tang LL; Chen L; Li WF; Mao YP; Fan W; Liu LZ; Tian L; Lin AH; Sun Y; Tian J; Ma J
Clin Cancer Res; 2019 Jul; 25(14):4271-4279. PubMed ID: 30975664
[TBL] [Abstract][Full Text] [Related]
12. Preoperative Diagnosis of Dual-Phenotype Hepatocellular Carcinoma Using Enhanced MRI Radiomics Models.
Wu Q; Yu YX; Zhang T; Zhu WJ; Fan YF; Wang XM; Hu CH
J Magn Reson Imaging; 2023 Apr; 57(4):1185-1196. PubMed ID: 36190656
[TBL] [Abstract][Full Text] [Related]
13. A dynamic nomogram combining tumor stage and magnetic resonance imaging features to predict the response to induction chemotherapy in locally advanced nasopharyngeal carcinoma.
Jiang Y; Liang Z; Chen K; Li Y; Yang J; Qu S; Li L; Zhu X
Eur Radiol; 2023 Mar; 33(3):2171-2184. PubMed ID: 36355201
[TBL] [Abstract][Full Text] [Related]
14. Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma".
Jansen JFA; Drenthen GS
J Magn Reson Imaging; 2022 Aug; 56(2):560-561. PubMed ID: 34962010
[No Abstract] [Full Text] [Related]
15. CT-based peritumoral radiomics nomogram on prediction of response and survival to induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.
Zeng F; Ye Z; Zhou Q
J Cancer Res Clin Oncol; 2024 Jan; 150(2):50. PubMed ID: 38286865
[TBL] [Abstract][Full Text] [Related]
16. A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
Bao D; Zhao Y; Li L; Lin M; Zhu Z; Yuan M; Zhong H; Xu H; Zhao X; Luo D
Eur Radiol; 2022 Oct; 32(10):6910-6921. PubMed ID: 35639143
[TBL] [Abstract][Full Text] [Related]
17. Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI-Based Radiomics.
Hong M; Fan S; Yu Z; Gao C; Fang Z; Du L; Wang S; Chen X; Xu M; Zhou C
J Magn Reson Imaging; 2023 Aug; 58(2):454-463. PubMed ID: 36440711
[TBL] [Abstract][Full Text] [Related]
18. Radiomic analysis of MRI for prediction of response to induction chemotherapy in nasopharyngeal carcinoma patients.
Wang A; Xu H; Zhang C; Ren J; Liu J; Zhou P
Clin Radiol; 2023 Sep; 78(9):e644-e653. PubMed ID: 37331848
[TBL] [Abstract][Full Text] [Related]
19. Matted Lymph Nodes on MRI in Nasopharyngeal Carcinoma: Prognostic Factor and Potential Indication for Induction Chemotherapy Benefits.
Dong A; Zhu S; Ma H; Wei X; Huang W; Ruan G; Liu L; Mo Y; Ai F
J Magn Reson Imaging; 2024 Jun; 59(6):1976-1990. PubMed ID: 37706438
[TBL] [Abstract][Full Text] [Related]
20. The comparison of prognostic value of tumour volumetric regression ratio and RECIST 1.1 criteria after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.
Zeng YY; Xiang ZZ; He T; Liu F; Shao BF; Yan RN; Ma JC; Wang XR; Liu L
Oral Oncol; 2020 Dec; 111():104924. PubMed ID: 32736209
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]