388 related articles for article (PubMed ID: 31673835)
1. Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation.
Mo X; Wu X; Dong D; Guo B; Liang C; Luo X; Zhang B; Zhang L; Dong Y; Lian Z; Liu J; Pei S; Huang W; Ouyang F; Tian J; Zhang S
Eur Radiol; 2020 Feb; 30(2):833-843. PubMed ID: 31673835
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A novel prognostic model predicting the long-term cancer-specific survival for patients with hypopharyngeal squamous cell carcinoma.
Tang X; Pang T; Yan WF; Qian WL; Gong YL; Yang ZG
BMC Cancer; 2020 Nov; 20(1):1095. PubMed ID: 33176731
[TBL] [Abstract][Full Text] [Related]
4. Computed tomography-based radiomics signature as a pretreatment predictor of progression-free survival in locally advanced hypopharyngeal carcinoma with a different response to induction chemotherapy.
Liu X; Sun C; Long M; Yang Y; Lin P; Xia S; Shen W
Eur Arch Otorhinolaryngol; 2022 Jul; 279(7):3551-3562. PubMed ID: 35212776
[TBL] [Abstract][Full Text] [Related]
5. Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma.
Bogowicz M; Riesterer O; Stark LS; Studer G; Unkelbach J; Guckenberger M; Tanadini-Lang S
Acta Oncol; 2017 Nov; 56(11):1531-1536. PubMed ID: 28820287
[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. 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]
8. Development and validation of an
Wang H; Zhao S; Li L; Tian R
Eur Radiol; 2020 Oct; 30(10):5578-5587. PubMed ID: 32435928
[TBL] [Abstract][Full Text] [Related]
9. CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma.
Guo R; Guo J; Zhang L; Qu X; Dai S; Peng R; Chong VFH; Xian J
Cancer Imaging; 2020 Nov; 20(1):81. PubMed ID: 33176885
[TBL] [Abstract][Full Text] [Related]
10. MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy.
Zhang X; Zhao J; Zhang Q; Wang S; Zhang J; An J; Xie L; Yu X; Zhao X
Cancer Imaging; 2022 Jul; 22(1):35. PubMed ID: 35842679
[TBL] [Abstract][Full Text] [Related]
11. Prognostic value of interim CT-based peritumoral and intratumoral radiomics in laryngeal and hypopharyngeal cancer patients undergoing definitive radiotherapy.
Lin CH; Yan JL; Yap WK; Kang CJ; Chang YC; Tsai TY; Chang KP; Liao CT; Hsu CL; Chou WC; Wang HM; Huang PW; Fan KH; Huang BS; Tung-Chieh Chang J; Tu SJ; Lin CY
Radiother Oncol; 2023 Dec; 189():109938. PubMed ID: 37806562
[TBL] [Abstract][Full Text] [Related]
12. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
13. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.
Fang S; Lai L; Zhu J; Zheng L; Xu Y; Chen W; Wu F; Wu X; Chen M; Weng Q; Ji J; Zhao Z; Tu J
Front Mol Biosci; 2021; 8():662366. PubMed ID: 34532340
[No Abstract] [Full Text] [Related]
14. Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram.
Yuan C; Wang Z; Gu D; Tian J; Zhao P; Wei J; Yang X; Hao X; Dong D; He N; Sun Y; Gao W; Feng J
Cancer Imaging; 2019 Apr; 19(1):21. PubMed ID: 31027510
[TBL] [Abstract][Full Text] [Related]
15. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
Wang S; Feng C; Dong D; Li H; Zhou J; Ye Y; Liu Z; Tian J; Wang Y
Med Phys; 2020 Oct; 47(10):4862-4871. PubMed ID: 32592224
[TBL] [Abstract][Full Text] [Related]
16. An MRI-based radiomics-clinical nomogram for the overall survival prediction in patients with hypopharyngeal squamous cell carcinoma: a multi-cohort study.
Chen J; Lu S; Mao Y; Tan L; Li G; Gao Y; Tan P; Huang D; Zhang X; Qiu Y; Liu Y
Eur Radiol; 2022 Mar; 32(3):1548-1557. PubMed ID: 34665315
[TBL] [Abstract][Full Text] [Related]
17. Clinical utility of multimodality imaging with dynamic contrast-enhanced MRI, diffusion-weighted MRI, and 18F-FDG PET/CT for the prediction of neck control in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiation.
Ng SH; Lin CY; Chan SC; Lin YC; Yen TC; Liao CT; Chang JT; Ko SF; Wang HM; Chang CJ; Wang JJ
PLoS One; 2014; 9(12):e115933. PubMed ID: 25531391
[TBL] [Abstract][Full Text] [Related]
18. Radiomics Analysis of PET and CT Components of
Wang X; Lu Z
Front Oncol; 2021; 11():638124. PubMed ID: 33928029
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a radiomics-based model to predict local progression-free survival after chemo-radiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Chen YY; Huang WZ; Wu SX; Huang SF; Xu HY; Xue RL; Du ZS; Li XY; Lin LX; Huang HC
Radiat Oncol; 2021 Oct; 16(1):201. PubMed ID: 34641928
[TBL] [Abstract][Full Text] [Related]
20. Primary tumor volume is an important predictor of clinical outcomes among patients with locally advanced squamous cell cancer of the head and neck treated with definitive chemoradiotherapy.
Strongin A; Yovino S; Taylor R; Wolf J; Cullen K; Zimrin A; Strome S; Regine W; Suntharalingam M
Int J Radiat Oncol Biol Phys; 2012 Apr; 82(5):1823-30. PubMed ID: 21549516
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
