664 related articles for article (PubMed ID: 31372781)
1. 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]
2. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
Zhang B; Tian J; Dong D; Gu D; Dong Y; Zhang L; Lian Z; Liu J; Luo X; Pei S; Mo X; Huang W; Ouyang F; Guo B; Liang L; Chen W; Liang C; Zhang S
Clin Cancer Res; 2017 Aug; 23(15):4259-4269. PubMed ID: 28280088
[No 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. CT-based radiomics signature analysis for evaluation of response to induction chemotherapy and progression-free survival in locally advanced hypopharyngeal carcinoma.
Liu X; Long M; Sun C; Yang Y; Lin P; Shen Z; Xia S; Shen W
Eur Radiol; 2022 Nov; 32(11):7755-7766. PubMed ID: 35608663
[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. A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma.
Sun MX; Zhao MJ; Zhao LH; Jiang HR; Duan YX; Li G
Radiat Oncol; 2023 Apr; 18(1):67. PubMed ID: 37041545
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A multidimensional nomogram combining overall stage, dose volume histogram parameters and radiomics to predict progression-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.
Yang K; Tian J; Zhang B; Li M; Xie W; Zou Y; Tan Q; Liu L; Zhu J; Shou A; Li G
Oral Oncol; 2019 Nov; 98():85-91. PubMed ID: 31569054
[TBL] [Abstract][Full Text] [Related]
9. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. MRI-Based Metastatic Nodal Number and Associated Nomogram Improve Stratification of Nasopharyngeal Carcinoma Patients: Potential Indications for Individual Induction Chemotherapy.
Zhao Q; Dong A; Cui C; Ou Q; Ruan G; Zhou J; Tian L; Liu L; Ma H; Li H
J Magn Reson Imaging; 2023 Jun; 57(6):1790-1802. PubMed ID: 36169976
[TBL] [Abstract][Full Text] [Related]
16. Magnetic resonance imaging-based radiogenomics analysis for predicting prognosis and gene expression profile in advanced nasopharyngeal carcinoma.
Gao Y; Mao Y; Lu S; Tan L; Li G; Chen J; Huang D; Zhang X; Qiu Y; Liu Y
Head Neck; 2021 Dec; 43(12):3730-3742. PubMed ID: 34516714
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma.
Bin X; Zhu C; Tang Y; Li R; Ding Q; Xia W; Tang Y; Tang X; Yao D; Tang A
Clin Oncol (R Coll Radiol); 2022 Dec; 34(12):e482-e492. PubMed ID: 36008245
[TBL] [Abstract][Full Text] [Related]
19. Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
Zhuo EH; Zhang WJ; Li HJ; Zhang GY; Jing BZ; Zhou J; Cui CY; Chen MY; Sun Y; Liu LZ; Cai HM
Eur Radiol; 2019 Oct; 29(10):5590-5599. PubMed ID: 30874880
[TBL] [Abstract][Full Text] [Related]
20. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
